#WEUNITUS

General Info

SUBJECT SEMESTER CFU SSD LANGUAGE
119928 - PLANT GENOMES AND CHROMOSOME MANIPULATIONS

LJILJANA KUZMANOVIC

First Semester 6 AGR/07 ita

Learning objectives

This course aims to provide the tools to acquire the cultural, theoretical and experimental bases in the field of genomics, also aimed at the application of genome manipulations for the improvement of plant species of agricultural importance. The course will give particular emphasis to acquisition of knowledge in the following areas: 1. how genomes are organized at a structural and functional level; 2. how knowledge from model species can be transferred to species of agricultural interest (e.g. rice, wheat); 3. how knowledge can be used to manipulate genomes for beneficial purposes (genomics-assisted breeding). Through the contents and methods of carrying out the program, also including the analysis of scientific articles, students will acquire and be able to process complex and multidisciplinary information and identify possible breeding strategies assisted by plant genomics. Communication skills will be stimulated through periodic interactive teacher-student summaries and in the final assessment phase (exam), normally based on a presentation concerning a course topic, chosen by the student. Through the information provided and the teaching methodology, the student will be able to gain familiarity with the scientific method and its application to genomics and related disciplines, to be able to proceed with in-depth and specialized studies with an advanced level of autonomy.

Teacher's Profile

courseProgram

1. Genome size and organisation:
- Comparing prokaryotic and eukaryotic genomes: the C-value paradox described through examples of various Angiosperm plants;
- Forces influencing genome size and expansion-contraction mechanisms (unequal crossing-over; illegitimate recombination).
2. Types, abundance and organization of genic and non-genic sequences in the eukaryotic chromosome:
2.1. Non-gene sequences
- Telomeric, centromeric and intercalary highly repeated sequences; micro- and mini-satellites;
- Transposable elements (TE) in Eukaryotes: comparison with prokaryotic IS elements; classes of TE and relative mode of transposition di ET and abundance in various Eukaryotic genomes: DNA- and RNA-TE or retroelements; effect of TE on size and structure of Eukaryotic genomes; amplification of TE through intra- and inter-element unequal crossing-over;
2.2. Eukaryotic genes:
- Fine structure and structural variability (e.g. intron abundance and size) among taxa; exon re-shuffling and development of novel genes;
- Gene families and super-families: gene duplication and divergence (neo- and sub-functionalization); examples of the histone gene family, of resistance gene families in plants and of the human globin super-family.
3. Genome compartmentalization: mosaic organization (isochores) of the human genome and of plant genomes; “gene-rich” and “gene-poor” regions; TE as main components of inter-genic spaces; comparison between genetic and physical maps: “hot” and “cold” spots of recombination and their correlation with gene density and transcription.
4. Comparative genomics:
- Intergenomic and interspecific micro- and macro-synteny and colinearity; the “circle diagram” of grass genomes; levels of conservation: homoeologous chromosomes and orthologous genes;
- Chromosome rearrangements and disruption of synteny and colinearity: evidence from comparative mapping and comparative sequencing.
5. Evolution and adaptive mechanisms of plant genomes, with particular focus on polyploidy; rapid genome changes following the polyploidisation event: maintenance and elimination of duplicated genes/sequences: examples from natural and neo-synthesized Triticum polyploids; gene silencing.
6. Epigenetics and epigenomics: modifications of chromatin structure (chromatin remodelling) mediated by DNA methylation, histone methylation/acetylation, RNA molecules; epigenetic changes associated with polyploidization.
7. Plant genome manipulations aimed at practical applications
- Targets of manipulations for breeding purposes: utilisation of genetic variability outside the “target” species
- From the creation of amphidiploids to single chromosome addition and substitution lines to targeted interspecific transfer of chromosome segments (chromosome engineering) in agriculturally relevant plant species: strategies and case studies, with particular focus on Triticeae species (wheat and related species), Solanum spp., Medicago spp., Lolium-Festuca complex.

examMode

A PowerPoint presentation is usually proposed on a topic chosen by the student from those covered in the course. Of the chosen topic, the teacher provides 1-3 (typically 2) scientific articles, one of which generally consists of a "review", while the other deals with a specific aspect of the same topic. During the presentation, the teacher normally asks some in-depth questions, also related to other aspects of the program. The mark given takes into account the level of knowledge of the contents, the ability to analyse, summarise and connect, even interdisciplinary, the ability to think critically and the clarity of the exhibition.

books

- Teaching material (e.g. lesson slides) and scientific articles provided by the teacher and available on the institutional website;
- Additional scientific articles on students' request, both for the preparation of the exam test and for the deepening of aspects of specific, individual interest;
- Chapters selected from:
(in Italian)
Barcaccia - Falcinelli – Genetica e genomica (Liguori ed.), vol. I, II e III;
Hartwell et al. - Genetica - dall'analisi formale alla genomica (McGraw-Hill);
Russell PJ - Genetica: un approccio molecolare (Pearson)
(in English)
Grotewold E, Chappell J, Kellogg E.A. - Plant Genes, Genomes and Genetics, 2015- John Wiley & Sons, DOI:10.1002/9781118539385
Plant genome diversity - vol. 1 & 2 - Springer, 2012
Goldberg et al. - From genes to genomes - McGraw-Hill (2021-)
Russell PJ - iGenetics: A Molecular Approach: Pearson New International Edition (English Edition, 2013-)

classRoomMode

Attendance is not mandatory, but encouraged, above all to stimulate discussion, both on what the teacher has exposed, and on the scientific articles taken as reference and proposed by the teacher.

bibliography

In addition to the bibliography indicated in the "Testi" section, scientific articles on the main topics covered in the course will be recommended and made available to students.

120023 - SAFETY IN LAB WORKING

PIERLUIGI ROSSI

First Semester 2 ita

Learning objectives

Students will be able to identify potential hazards such as dangerous chemicals, biological agents, and harmful physical situations, and understand risk analysis techniques and methods to eliminate or mitigate these risks. Students will be able to recognize and evaluate chemical, biological, and physical hazards in the laboratory, plus of adopting appropriate preventive measures, such as using PPE, training workers, and creating safe operating procedures. Students will develop the ability to independently assess the likelihood and severity of potential incidents associated with identified hazards. Students will be able to effectively communicate safety practices to their colleagues and supervisors. They will also be capable of drafting and managing safety documentation and conducting training on laboratory-specific risks. Students will develop the ability to continuously update their knowledge on safety practices by following periodic reviews of safety procedures and promote a culture of safety among workers.

Teacher's Profile

courseProgram

The course will focus on hazard identification and safety procedures that are necessary for working in laboratories. Starting from detailed reports of major laboratory accidents, classes will engage students in investigating dangers and latent risks keeping in mind that such working contexts may involve unique hazardous scenarios. To do so, specific risks and accident modes will be covered while an extensive coverage of those tools that allow dynamic safety assessments will be provided.

More specifically, the following aspects related to lab working will be covered:
- Terms and definitions regarding safety aspects, accident examples;
- Chemical hazards;
- Biological hazards (agents and pathogens);
- Physical hazards (ergonomics, radiations, noise);
- Safety hazards (electricity, fire, explosions);
- System-related factors that affect lab working and that generate particualr pyschological responses from workers;
- The human factor and the effectiveness-thoroughness trade-off in lab working;
- The “cultures” of safety in work organisations and safety management systems;
- Risk analysis and safety assessment - countermeasures, personal protective equipment requirements and emergency procedures.

examMode

Written examination consisting of two questions: one mandatory question from the lecturer, one chosen by the candidate from two options proposed by the test. 15-20 lines is the expected length for each answer. Pass/fail are the only available results for the test.

books

Provided by the lecturer

classRoomMode

In-person classes, lessons recorded for academic year 2023/2024 are available

bibliography

Leveson, N.G. - System Safety Engineering: Back to the Future (2002) - Massachusetts Institute of Technology
Leveson, N.G. - Engineering a Safer World - Systems Thinking Applied to Safety (2011) - MIT Press Cambridge, MA

120498 - RESEARCH LABORATORY TRAINING

ANDREA FOCHETTIFABRIZIO OLIVIERI

First Semester 2 ita

Learning objectives

The main learning objectives of the course is to equip students with all the necessary practical and safety skills in order to autonomously manage and execute a scientific
research project, carried out mainly in biomolecular-related scientific fields. The training objectives emphasize different aspects related to correct laboratory procedures, work ethics and practical skills necessary to carry out the subsequent thesis project. The student will acquire expertise in the autonomous handling of laboratory instruments to correctly carry out scientific experiments. Planning and organization of an experimental biomolecular research project and problem-solving skills will be acquired. Furthermore, the student will master the appropriate tools necessary for the critical evaluation of scientific literature and for accurate data interpretation and analysis.

Teacher's Profile

courseProgram

Measurement units and conversions, stoichiometry, solutions and dilutions, acid-base reactions and titrations, buffer solutions and their preparation, chemical reaction set-up and monitoring. Daily laboratory practices; Utilization of precision devices; Introduction to the use of equipment in Molecular biology and Organic Chemistry laboratories: use of high-performance liquid chromatography (HPLC) and microwave extraction systems; polymerase chain reaction (PCR) preparation and electrophoresis setup.

examMode

Multiple Choice Test

books

It is recommended to study the topics of the course using the lecturer's slides, made available on the Moodle platform. There are no specific reference texts as it is mainly a practical exam.

classRoomMode

Strongly recommended

Teacher's Profile

courseProgram

Daily Laboratory Practices; Utilization of Precision Devices; Introduction to the use of equipment in Molecular Biology Laboratory instruments; Polymerase chain reaction (PCR) Preparation and Electrophoresis Setup.

examMode

Multiple choice test without penalties

books

Lectures provided by the Professor

classRoomMode

Optional attendance but strongly recommended for the acquisition of laboratory skills.

bibliography

Masoodi, K. Z., Lone, S. M., & Rasool, R. S. (2020). Advanced methods in molecular biology and biotechnology: a practical lab manual. Academic Press.

119941 - ELECTIVE COURSES

First Semester 12 ita
TWO EXAMES AMONG THE FOLLOWING: - - - -
FOREST BIOTECHNOLOGY

ELENA KUZMINSKY

First Semester 6 AGR/05 ita

Learning objectives

The course will introduce students to the principles and experimental approaches, in continuous evolution, of plant biotechnology. The course aims to strengthen the basic
knowledge on plant biotechnologies applied to forest trees (green biotechnologies, categories of biotechnological processes and products, model plants, plant tissue cultures,
recombinant methods, molecular tools), offering a framework to address current scientific problems (i.e. the use of transgenic trees) and also provide a basis for specialized studies in the field of in vitro clonal propagation, genetic improvement of trees and functional genomics. In the laboratory lessons students will develop some of the techniques currently used to obtain micropropagated plants, cultures of calluses and protoplasts of forest species and to detect genetic variation. The key concepts of the course will be integrated into a series of case studies and students will improve their ability to apply them to new situations in problem solving sessions, in particular dedicated to the Mediterranean region. At the end of the course, students will have an in-depth knowledge of the basic principles of forest biotechnology and modern techniques to obtain technological products (in vitro material characterized by clonal fidelity or somaclonal variants, secondary metabolites, transgenic and cisgenic tree materials, molecular tools for the study of genetic variability). Finally, they will have acquired the ability to understand the potential of using biotech trees to increase the productivity of forest plantations even in disadvantaged environments (biotic and abiotic stresses) or to use biotech trees for the recovery of arid soils (salinity, pollution).
Students will be encouraged to make use of the knowledge acquired during the course and during the laboratory exercises to apply it to specific problems such as, for example, the propagation of improved genotypes or somaclonal variants resistant to stressful biotics or abiotics or characterized by high wood productivity, as well as the conservation of threatened species or origins. Students will be able to interpret and discuss the scientific works presented in class and to identify its highlights and highlights.
During the lessons, students' ability to reflect and discuss the topics covered will be stimulated, as well as the comparison of opinions to develop their communication skills.
These skills will then be tested during the exam. Students will be able to expose and develop scientific topics related to the course. The active involvement of students through oral discussions in the classroom and experiences in laboratory practices will develop this skill.

Teacher's Profile

courseProgram

Activities lectures will be focused on the following groups of topics/abilities.
- General introduction to plant biotechnology: history, global significance of modern plant biotechnology, biotech trees;
- Model plants for tree species: the need of a model plant for tree species;
- Vegetative propagation and tissue culture (tree cloning, micropropagation, cryopreservation, callus culture, haploid plants, protoplast isolation, production of secondary metabolites);
- General introduction to the genetically modified trees; Methods of genetic transformation of forest trees (Agrobacterium, biolistic, and electroporation)
- Applications of recombinant DNA technology for the improvement of forest trees
- General introduction to the Omics sciences (genomics, proteomics and metabolomics)
- Sequencing of tree species (history and main methodologies), Next generation sequencing
- Molecular markers history, molecular markers currently used in plant biotechnology

examMode

Oral exam on the course program to verify the ability to know and link the contents of the course.
The exam consists of an oral exam. We would like to remind students that, in order to take the exam, they must register for the exam session in question at the “Portale dello studente”. The exam is the same for both attending students and non-attenders.
The exam takes place according to the University Teaching Regulations. The exam is scored out of a maximum of 30 points (minimum mark 18/30), which will go into the calculation of your grade point average, and evaluates your:
1. knowledge of course contents (superficial, appropriate, accurate and complete, complete and in-depth);
2. ability to integrate and critically discuss course contents (sufficient, good, very good);
3. skill in planning a monitoring activity starting from a case study (sufficient, good, very good);
4. level of clarity in exposition (lack of exposure, simple, clear and correct, safe and correct);
4. livello di chiarezza nell'esposizione (mancanza di esposizione, semplice, chiaro e corretto, sicuro e corretto).

books

1. Plant Cell Culture, essential methods (2010). Edited by M.R. Davey and P. Anthony. Wiley-Blackwell.
2. Tree biotechnology (2014). Edited by K. G. Ramawat, J. M. Mérillon, M. R. Ahuja. CRC Press.
3. Plant Biotechnology and Agriculture: Prospects for the 21st Century (2012). Edited by Altman A and Hasegawa PM. Accademic Press.
4. Plants, genes, and Crop Biotechnology (2003). Edited by M.J. Chrispeels & D.E. Sadava. Jones and Bartlett publishers.
Non-attending students are encouraged to contact the teacher for information about the program, teaching materials, and how to evaluate the benefit.

classRoomMode

Strongly recommended, especially for lab practices, but not mandatory.

bibliography

See textbooks

Teacher's Profile

courseProgram

Activities lectures will be focused on the following groups of topics/abilities.
- General introduction to plant biotechnology: history, global significance of modern plant biotechnology, biotech trees;
- Model plants for tree species: the need of a model plant for tree species;
- Vegetative propagation and tissue culture (tree cloning, micropropagation, cryopreservation, callus culture, haploid plants, protoplast isolation, production of secondary metabolites);
- General introduction to the genetically modified trees; Methods of genetic transformation of forest trees (Agrobacterium, biolistic, and electroporation)
- Applications of recombinant DNA technology for the improvement of forest trees
- General introduction to the Omics sciences (genomics, proteomics and metabolomics)
- Sequencing of tree species (history and main methodologies), Next generation sequencing
- Molecular markers history, molecular markers currently used in plant biotechnology

examMode

Oral exam on the course program to verify the ability to know and link the contents of the course.
The exam consists of an oral exam. We would like to remind students that, in order to take the exam, they must register for the exam session in question at the “Portale dello studente”. The exam is the same for both attending students and non-attenders.
The exam takes place according to the University Teaching Regulations. The exam is scored out of a maximum of 30 points (minimum mark 18/30), which will go into the calculation of your grade point average, and evaluates your:
1. knowledge of course contents (superficial, appropriate, accurate and complete, complete and in-depth);
2. ability to integrate and critically discuss course contents (sufficient, good, very good);
3. skill in planning a monitoring activity starting from a case study (sufficient, good, very good);
4. level of clarity in exposition (lack of exposure, simple, clear and correct, safe and correct);
4. livello di chiarezza nell'esposizione (mancanza di esposizione, semplice, chiaro e corretto, sicuro e corretto).

books

1. Plant Cell Culture, essential methods (2010). Edited by M.R. Davey and P. Anthony. Wiley-Blackwell.
2. Tree biotechnology (2014). Edited by K. G. Ramawat, J. M. Mérillon, M. R. Ahuja. CRC Press.
3. Plant Biotechnology and Agriculture: Prospects for the 21st Century (2012). Edited by Altman A and Hasegawa PM. Accademic Press.
4. Plants, genes, and Crop Biotechnology (2003). Edited by M.J. Chrispeels & D.E. Sadava. Jones and Bartlett publishers.
Non-attending students are encouraged to contact the teacher for information about the program, teaching materials, and how to evaluate the benefit.

classRoomMode

Strongly recommended, especially for lab practices, but not mandatory.

bibliography

See textbooks

TECHNOLOGICAL INNOVATIONS TO IMPROVE THE QUALITY OF VEGETABLE CROPS

MARIATERESA CARDARELLI

First Semester 6 AGR/04 ENG

Learning objectives

Didactic Objectives
The course aims to provide advanced knowledge and practical tools to understand, evaluate, and improve the quality of vegetable crops through the adoption of technological innovations and sustainable strategies. Students will acquire skills related to the factors influencing vegetable quality (intrinsic and extrinsic), innovative cultivation techniques (soilless systems, nutrition and irrigation management, use of sensors), and strategies to enhance the nutritional and functional value of productions (grafting, biostimulants, nutraceutical greenhouses). Particular emphasis will be placed on the integration of theoretical knowledge with applied and interpretative skills, as well as on the development of critical autonomy and communication abilities.
At the end of the course, students will be able to:
• Apply the acquired knowledge in real production contexts (applying knowledge and understanding);
• Make independent and critical judgments regarding the use of technological innovations and crop management strategies (making judgements);
• Communicate clearly and scientifically the results of their analyses and project designs (communication skills);
• Independently update their knowledge and skills in relation to the evolution of technologies and cultivation practices (learning skills).

Teacher's Profile

courseProgram

Concept and meaning of quality in vegetables: i) intrinsic properties (nutritional, organoleptic, safety) and extrinsic properties (commercial, aesthetic); ii) quality by product type: roots, leaves, fruits.
Cultivation environment and production systems: greenhouse vs open field (light, temperature, humidity), soilless systems (advanced hydroponic and aeroponic systems), management of nutrition and irrigation management, growing substrates, fresh-cut produce and nitrate control, use of sensors for real-time monitoring.
Strategies to improve quality: herbaceous grafting, biostimulants (types and application methods), nutraceutical greenhouses for for functional foods.
Analysis of real experiences in improving vegetable quality.

examMode

The written test will include multiple-choice questions and open-ended questions.

books

Orticoltura. Principi e pratica'. Edagricole. Curatori: Pardossi, Gianquinto, Santamaria, Incrocci
'Colture fuori suolo. Idroponica e coltivazione in substrato' Edagricole. Incrocci, Malorgio, Massa.
'Biostimolanti per un'agricoltura sostenibile' Ed. Informatore Agrario. Curatori: Colla, Rouphael

classRoomMode

Optional

NEW EXTRA CURRICULAR GROUP - - - -
NANOTECHNOLOGY IN CROP PROTECTION

GIORGIO MARIANO BALESTRA

First Semester 3 AGR/12 ita

Learning objectives

At the end of the course the student will have learned the definitions of nanotechnologies, nanomaterials; will be able to list the main applications with associated potential and limits of nanomaterials in agriculture; will be able to analyze a scientific text concerning these applications by discriminating the validity of the proposed methods and the possible implications of research on industrial scalability and implementation in everyday contexts.

119930 - PLANT BREEDING

ANDREA MAZZUCATO

Second Semester 6 AGR/07 ita

Learning objectives

Knowledge and understanding: the course aim to provide the student with the basic principles of crop breeding, variety registration and seed production. Applied knowledge and understanding theoretical and practical aspects of reproductive biology of higher plants are addressed including those modifications of the reproductive system that are of practical interest. Additional teaching objectives are the collection, storage and evaluation of genetic resources, the development of plant breeding schemes, the characterization, reproduction, conservative selection of plant varieties, the adoption of advanced strategies for the control of reproductive biology and the co-existence of conventional and genetically modified crops. Making judgements: the advantages and disadvantages of each presented technology are illustrated, to develop the student's critical sense. Communication skills: students are asked questions during the classes, both to keep their attention and to teach them to ask questions and give adequate answers. Being able to communicate their knowledge to competent and generic public in a clear way. Learning skills: the theoretical bases of processes underlying plant reproductive biology, plant breeding schemes and strategies to select improved varieties through conventional breeding, having developed those learning capacities that
allow an autonomous study

Teacher's Profile

courseProgram

- Introduction, history and aim of plant breeding, concept of ideotype.
- Biology of plant reproduction: floral morphology, macro and microsporogenesis, macro and microgametogenesis, pollination, progamic phase, fertilization, embryogenesis, seed and fruit development. Molecular biology of flowering induction and flower development, genes controlling inflorescence, flower and floral organs identity, ABC(DE) model. Mode of reproduction (sexual reproduction, vegetative propagation, apomixis), sex determination (hermaphroditism, monoecism, dioecism), mating system (autogamy and allogamy), experimental characterization of plant reproductive system and of outcrossing rate. Male sterility (genetic, cytoplasmic and genetic-cytoplasmic, functional and conditional). Self-incompatibility (sporophytic and gametophytic). Apomixis, cytoembryological bases, genetic control, breeding of obligate and facultative apomictic species, perspectives of transferring apomixis to sexual species. Fruit set and development, parthenocarpy, biotechnological approaches to control fruit set. Fruit ripening, mutants affected in ripening and in pigment accumulation.
- Sources of genetic variability: gene pool concept, germplasm collection and storage, seed banks, germplasm evaluation, variability induced by mutagenesis, somaclonal variation.
- Intra and interspecific cross, sexual interspecific barriers, biotechnologies to facilitate interspecific crossing, in vitro fertilization and embryo rescue.
- Theory of selection: principles of theory of selection for monogenic and polygenic characters, penetrance and expressivity.
- Genetic population structure in autogamous, allogamous, vegetatively propagated and apomictic species.
- Breeding schemes for autogamous species: selection in existing populations: mass selection and pure line selection. Selection in segregating populations: pedigree, bulk and single seed descent methods, double haploids. Backcross method to transfer a dominant and a recessive allele, linkage drag, principles of marker assisted selection, multiline varieties, F1 hybrids in autogamous species.
- Breeding schemes for allogamous species: mass selection, recurrent selection, synthetic varieties, F1 hybrids in allogamous species, use of male sterility in hybrid production schemes.
- Principles of genetics of seed production: evaluation of new varieties, subscription to the Register of Varieties, maintenance selection and seed production, isolation, generations of seed multiplication. Legislation related to seed production and marketing. Biotechnologies for the protection of plant varieties (molecular markers for distinctiveness), estimation of genic flux and gene flux containment in conventional and genetically modified varieties.

Seminars: students will be invited to attend one or two seminars focussing on technical and/or scientific aspects related to topics of the course.
Practical activities: practical activity will be dedicated to the knowledge of genetic variability in a crop species, to the examination of mutants involved in reproductive biology, to technicalities to carry out controlled crosses and to a visit to a company or experimental station involved in breeding and/or seed production of crop species.

examMode

The candidate should demonstrate the acquisition of knowledge in the field of plant breeding. The judgment and the final grade will take into account the knowledge and concepts acquired, the ability to analyze problems, to connect interdisciplinary knowledge, mastery and clarity of expression and exposure: The exam will be oral.
The exam will generally consist on the discussion of three topics, of which one to be chosen by the candidate, that cover the three areas of the program, biology of crop plant reproduction, schemes and methods of plant breeding, seed production and legislation.

books

Barcaccia G. e Falcinelli M., Genetica e genomica, vol. II, 2005, Miglioramento genetico, Liguori.
Lorenzetti F. et al., Miglioramento genetico delle piante agrarie, 2018, Edagricole.
Ciriciofolo E. e Benincasa, Sementi: Biologia, produzione e tecnologia, 2018 Edagricole.
Material from the lecturer through the portal.

classRoomMode

Attending the course is not compulsory, but strongly recommended

bibliography

Additional materials related to several topics of the program will be indicated by the lecturer during classes and will be then available on Moodle.

119929 - FOOD BIOTECHNOLOGY

ILARIA BENUCCI

Second Semester 6 AGR/15 ita

Learning objectives

The aim of the course is to deep the student's knowledge about industrial biotechnology for food processing, by providing articulated and systematic skills on the industrial use of microorganisms and enzymes useful in different food sectors. Moreover, the course aims to provide: • the suitable ability to manage the interaction between agro-food raw materials and the related biotechnological processes, both traditional and innovative, in order to implement the quality and sustainability of the finished product; • the tools to control and to regulate the biotechnological process, defining opportunities and constraints, in order to achieve the quality characteristics sought in the food product. Students will acquire knowledge relating to the general aspects of microorganisms and enzymes; as well as to the interconnections of physio-chemical and biochemical phenomena that may occur in their application to food processes. This will allow them to address, by modern and multidisciplinary approaches, the operational tasks of managing the physio-chemical and biochemical phenomena that may occur in the application of microorganisms and enzymes to food processes. By analyzing examples of process critical issues, students will acquire the ability to interpret and understand, which will be useful to formulate judgments for the personal re-elaboration of the most suitable solutions. Students will develop the ability to discuss clearly and briefly the topics of the course, as well as argue with scientific and professional terminology the case
studies addressed in the classroom and in the laboratory. Students will develop the attitude to analyze the subject matter, to study from different sources and to make the appropriate relations between the theoretical aspects of the classroom and the texts with those applied in laboratory.

Teacher's Profile

courseProgram

- Introduction – market of food enzymes and starter cultures; EU regulations
- Microbial biomasses and industrial starter cultures production
- Primary and secondary metabolites
- Complex products
- Enzymatic catalysis
- Biotechnological applications to the agri-food chains of: Bread and bakery products; Malt and beer; Still and sparkling wines; milk, cereals, legumes and dried fruit based fermented foods; Coffee; Cocoa.

examMode

Ongoing tests: multiple choice test;
Final exam: oral discussion on different topics
The determination of the final grade will take into account: the level of knowledge of the contents demonstrated (superficial, appropriate, precise and complete, complete and in-depth), the ability to apply theoretical concepts (fair, good, well-established), the ability to analyze , of synthesis and interdisciplinary connections (sufficient, good, excellent), of the capacity for critical sense and formulation of judgments (sufficient, good, excellent), of the mastery of expression (lack of exposition, simple, clear and correct, safe and correct).

books


- Lecture notes
- Advances in Food Biotechnology, Wiley
- Fundamentals of Food Biotechnology, 2nd Edition, Wiley
- Food Biotechnology, Springer
- Biotecnologie alimentari, Piccin

mode

The lessons will be both theoretical and practical and will favor the active participation so that students can acquire and apply, with advanced and specialized skills, the management of industrial use of food microorganism and enzyme and, at the same time, be able to carry out self-learning activities in the classroom and in the laboratory. Through this approach, teaching also intend to perfect the mastery of the theoretical and critical tools necessary for the analysis and interpretation of the operational specificities in different food processes.

classRoomMode

Optional

bibliography

None

119932 - CHEMISTRY OF NATURAL ORGANIC PRODUCTS

ROBERTA BERNINI

Second Semester 6 CHIM/06 ita

Learning objectives

The course is devoted to the study of natural organic substances; in particular, secondary metabolites found in the plant world. Beginning with their respective biogenetic precursors, structural aspects, biological properties, applications, extraction techniques, purification and chemical characterization are explored. The objective of the course is to provide students with a thorough knowledge of natural organic substances, which is to be described, during the examination, with propriety of language, clarity of exposition, critical analysis and synthesis skills.

Teacher's Profile

courseProgram

The course focuses on the study of different families of natural organic substances derived from the acetate, shikimate and mevalonate pathway. Of each of these, structural aspects, properties, biological activities and applications in agronomy, food, cosmetics, pharmaceuticals and nutraceuticals are explored. Among the classes of secondary metabolites, the phenolic substances and, among the various biological activities, the antioxidant activity are particularly explored. The techniques of extraction, purification and structural characterization of natural substances are also studied. Seminars given by colleagues from outside the University of Tuscia on topics relevant to the program are scheduled during the course. Exercises and/or teaching visits are, in addition, planned.

examMode

At the end of the course, students take a written exam consisting of three open-ended questions covering all topics discussed. Additionally, they deliver a PowerPoint presentation on a topic of their choice related to a molecule, a family of natural substances, or an analytical method covered in the entire program. The article or review used for the presentation is selected by the student and can be submitted to the instructor for approval before preparing the PowerPoint.
Evaluation criteria include depth of knowledge, mastery of language, clarity of presentation, ability for critical analysis and synthesis, both for the written exam and the PowerPoint presentation.

books

Medicinal Natural Products. Paul M Dewick, John Wiley & Sons, Ltd


classRoomMode

Recommemded

bibliography

Selected scientific articles (sources: Scopus, Web of Science)

120024 - PROJECT WRITING AND MANAGEMENT

VALENTINA TAVERNA

Second Semester 2 ita

Learning objectives

The course aims to provide students with the skills necessary to systematically integrate European project design methodologies with Project Management techniques, both in the formulation and implementation phases of projects, with particular attention to the phases of Project Cycle Management (PCM) and the three knowledge areas of Project Management.
Through the contents made available by the teacher, students will acquire the basic notions to understand the functioning of European Union funding, the related multi-year programming frameworks and the formulation of project proposals consistent with the objectives of sectoral policies.
In addition to the acquisition of hard skills to apply the techniques and methodologies learned, to complete the knowledge to be acquired, a focus will be dedicated to soft skills with particular attention to the management of project stakeholders.

Teacher's Profile

courseProgram

The course aims to guide students in acquiring the knowledge to systematically integrate Euro-project methodologies with Project Management techniques:

1. Formulation: methods for applying PM techniques from the formulation phase to better define the managerial elements of the proposal (e.g., timeline planning, risks) and efficiently manage the proposal writing phase (respecting time, cost, and quality constraints).
2. Implementation: application of PM for more effective management of funded projects, strengthening aspects such as resource management, quality, and risks not fully covered by the LFA alone.

The first part of the program provides an overview of how European Union funding works and its multiannual programming frameworks (Context Knowledge: EU, Strategies, Multiannual Financial Framework). The second part of the program addresses the more operational topics of project writing and management (Project Cycle Management, Project Management, and related knowledge areas).

To complete the knowledge acquisition, a focus will be dedicated to soft skills, particularly project stakeholder management.

examMode

Assessment consists of two main components:
• Initial diagnostic test, designed to help the lecturer assess students’ prior knowledge. This test does not affect the final grade.
• Final examination, divided into two parts:
1. a written test including both closed- and open-ended questions on the course contents;
2. a project proposal simulation, developed in groups (maximum four students per group), aimed at evaluating the ability to apply the acquired knowledge to practical cases.

books

Material provided by the teacher

classRoomMode

Not mandatory but suggested due to the nature of the topics

bibliography

Material provided by the teacher

119937 - AGRO-INDUSTRIAL PHYTOPATHOLOGICAL BIOTECHNOLOGIES

SARA FRANCESCONI

Second Semester 6 AGR/12 ita

Learning objectives

The course aims to consolidate and expand the knowledge of phytopathological biotechnology, deepening the new frontier techniques for an eco-sustainable control of the
main agricultural phytopathologies. Students will acquire problem solving skills by approaching the subject in a multidisciplinary manner (plant pathology, physiology,
molecular biology, genetics), to apply these skills in a scientific research context. Students will acquire the ability to integrate their multidisciplinary knowledge, in order to contextualize the possible social and ethical implications of phytopathological biotechnologies. This will be possible because students will be able to formulate scientific judgments/assumptions even on the basis of incomplete or limited information. Students will be able to communicate their knowledge with an appropriate scientific language, with a view to practicing speaking with specialists and non-specialists. This will be possible thanks to the exam format, which includes the presentation of a project by the student. The student will be able to study autonomously and self-managed, thanks to the fact that during the course the key notions are provided to then autonomously develop an exam project, also on the basis of the student's research inclinations.

Teacher's Profile

courseProgram

Introduction to the course, overview of the syllabus, how the exam is conducted, assignment of case studies
General concepts of plant pathology and Summary of the main phytopathogens: bacteria, phytoplasmas, fungi, oomycetes, viruses
General concepts of struggle and "conventional" struggle: agronomic, genetic, legislative, with synthetic chemistry
Definition of organic farming, regulation and legislation, the program of the European Green Deal and how to set up new methods of struggle
Defense mechanisms of plants
Mechanisms of antagonism
Use of natural substances with antimicrobial action and elicitors
Use of nanotechnologies: direct antimicrobial action, as carrier of active substances and nucleic acids
Gene delivery for plant resistance
Predictive models and phenomics
Diagnostics

examMode

A case study will be assigned to each student, who will have to prepare a power point presentation to be exhibited during the exam date.

books

Teacher's slides, scientific articles recommended by the teacher

mode

Lectures, laboratory

classRoomMode

Not mandatory

bibliography

Teacher's slides, scientific articles recommended by the teacher

TWO EXAMES AMONG THE FOLLOWING: - - - -
BIOINFORMATICS

SILVIA TURCO

First Semester 6 BIO/11 ita

Learning objectives

The course aims to consolidate basic knowledge regarding genomic databases and new sequencing technologies. Additionally, it will provide basic knowledge of programming languages necessary for the bioinformatics analyses addressed during the course. At the end of the course, students will be able to apply their skills to tackle and solve complex problems in the field of bioinformatics, such as the analysis and interpretation of large genomic datasets. They will also be capable of planning a genomic sequencing experiment and utilizing bioinformatics pipelines applicable in various scientific research contexts. Students will acquire the ability to integrate interdisciplinary knowledge from bioinformatics, genetics, and molecular biology to manage and solve multidimensional and complex problems. They will be able to tackle the complexity of biological data and information technologies, adapting and optimizing methodologies to address new and intricate challenges. Students will be able to communicate their chosen methodologies, results, and conclusions using technical and scientific language to both specialist and non-specialist audiences, through scientific documentation, academic articles, and oral presentations. The course will include theoretical lectures and practical exercises during which students will acquire the necessary skills for an autonomous learning in the field of bioinformatics. They will need to identify their own educational needs, address any gaps in their knowledge, and stay updated on emerging technologies and methodologies.

Teacher's Profile

courseProgram

This course is meant for master students, PhD students and researchers who want to acquire an adequate knowledge regarding programming languages, technologies and platforms for genome sequencing and computational tools used for data analysis and results interpretation. The students will be guided throught an historical excursus, from the first sequencing technologies to the latest advanced ones and they will be able to discern and decide the most appropriate for their experimental design. Furthermore, basic knowledge of programming languages and of the most used operating systems will be provided. Thus, at the end of the course the students will be able to:
- Plan and develop a genomic computational experiment from the beginning.
- Choose the appropriate sequencing technlogy.
- Browse the main data bases.
- Align nucleic and proteic sequences.
- Perform a genome assembly, evaluate the differential genomic expression and identify all the biodiversity in a environmental community.

examMode

The exam is oral, with general question regarding the arguments in the program. The student will be evaluated for his/her critical thinking, knowledge acquisition and participation during the practical lectures.

books

All the necessary course material will be provided during the course and will be available on Moodle.

mode

The course is organized in frontal theoretical lessons and practical lessons. There is the possibily to follow the course by remote only for the theorical part.

classRoomMode

Attendance at classes is not compulsory but strongly recommended.

ADVANCED TISSUE CULTURE

CRISTIAN SILVESTRI

First Semester 6 AGR/03 ita

Learning objectives

Knowledge and understanding: Students will acquire advanced knowledge of plant tissue culture techniques, the use of PGRs, micropropagation, somatic embryogenesis,
organogenesis, genetic transformation and genome editing (CRISPR/Cas and VIGS), virosis, thermotherapy, and cryotherapy. Applying knowledge and understanding: Students will apply advanced techniques to solve problems in plant tissue culture, improve protocols and in vitro culture techniques, including those aimed at plant breeding.
Making judgment: Students will develop the ability to evaluate the effectiveness of techniques and protocols used, solve specific problems, and adapt techniques to different
plant species. Communication skills: Students will improve their communication skills to present their research results clearly and efficiently. Learning skills: The course encourages continuous learning, preparing students to constantly update themselves on new techniques and discoveries in the field of plant tissue culture and genetic transformation, also through the use of common search engines (Scopus, WoS, Google Scholar).

Teacher's Profile

courseProgram

Advanced Techniques of Plant Tissue Culture, Manipulation of growth regulators for specific outcomes, novel hormones, less frequently used growth regulators and small molecules peptides, troubleshooting common issues in tissue culture, Advanced Applications of Micropropagation (Photoautotrophic culture, liquid culture and bioreactors). Micropropagation of economically important plant species Somatic Embryogenesis and Organogenesis and genetic transformation techniques: Challenges and strategies for improving efficiency, recalcitrance. Protocols for CRISPR/Cas and VIGS. Principle and application of trans-grafting. Plants for Health: From Secondary Metabolites to Molecular Farming. Advanced Techniques for Genetic Stability and Virus Elimination techniques in tissue culture (Thermotherapy and Cryotherapy). Integration of omics data for improving tissue culture protocols. Regulatory frameworks for genetically modified organisms.

examMode

Assessment will be based on exams, laboratory reports and presentations

books

Students will have access to a selection of scientific articles and study materials provided by the instructor during the course

mode

The course will include lectures, laboratory sessions, seminars, and discussions. Practical demonstrations and case studies will be used to reinforce theoretical concepts.

classRoomMode

The attendance of the course is not mandatory. However, it is strongly recommended

bibliography

Plant Tissue Culture, Development, and Biotechnology
Edited ByRobert N. Trigiano, Dennis J. Gray

NEW EXTRA CURRICULAR GROUP - - - -
DATA SCIENCE WITH R

ROBERTO MOSCETTI

First Semester 6 AGR/09 ENG

Learning objectives

Knowledge and understanding
By the end of the course, students will grasp the core statistical principles applied to agricultural sciences, ranging from descriptive statistics to inferential methods (hypothesis testing, ANOVA, regression). They will understand the logic behind R programming, mastering the syntax required to handle complex data structures like vectors, data frames, and matrices. Furthermore, students will comprehend the theoretical and practical distinctions between supervised machine learning techniques (such as PLS, LDA, neural networks) and unsupervised ones (PCA, clustering, t-SNE), understanding exactly when and why to use them.

Applying knowledge and understanding
Students will be able to turn raw data into actionable insights by working independently within the R environment (RStudio, VS Code, or Positron). They will know how to write and execute scripts to import data, manage it using loops and logical conditions, and perform comprehensive statistical analyses. Specifically, they will be able to run parametric and non-parametric tests, build regression models (linear and non-linear), and implement classification and clustering algorithms. This practical skill will be directly demonstrated through the R script preparation required for the final exam.

Making judgments
Students will develop the critical thinking skills needed to interpret the numerical and graphical outputs generated by the software. Rather than simply running code, they will be able to assess the quality of predictive models (using metrics like RMSE or R2) and the statistical significance of their tests. A key component will be the ability to use AI assistants (LLMs) critically: students will learn to validate AI-generated code, avoiding passive “vibe coding” by identifying and fixing logical errors or hallucinations suggested by automated tools.

Communication skills
Students will be able to present their analysis results using appropriate technical language and high-quality data visualizations (publication-ready plots). They will be able to justify their statistical choices, such as why a non-parametric test or a specific clustering algorithm was used, both through clear comments within their exam script and by answering theoretical questions related to the first module.

Learning skills
The course will provide the methodology for continuous self-learning in the fast-evolving field of Data Science. Students will learn how to consult R library documentation, debug their own code, and properly use LLMs as tutors to speed up the learning of new functions or packages not covered in class, making them autonomous in tackling future analytical challenges.

Teacher's Profile

courseProgram

Module 1 - Fundamentals (3 CFU)
1) The function of statistics in the field of agricultural sciences
2) Population, sample, variable and data
3) Qualitative (nominal, ordinal) and quantitative (discrete, continuous) variables
4) Mean, median, mode, variance, standard deviation, range and coefficient of variation
5) Asymmetry and kurtosis
6) Histograms, box plots, bar graphs and line graphs
7) Normal distribution
8) Null hypothesis and alternative hypothesis, type I and type II errors
9) t-test, z-test, ANOVA, and post-hoc tests
10) Correlation, and linear non-linear regression
11) Principal component analysis and non-linear alternatives
12) Clustering

Module 2 – Applied statistics with R (3 CFU)
1) R fundamentals
a) Introduction to R
b) Installation and use of Integrated Development Environments (IDEs): RStudio, Positron, or VS Code
c) Basic operators, variables, and vectors

2) Data structures and AI Assistant for coding
a) Data structures: matrices, data frames, and lists
b) Large Language Models (LLMs): how to properly use ChatGPT & Co. to boost learning, avoiding the dangerous “vibe coding”

3) Data import, manipulation, and automation
a) Importing data into R from common file types (e.g., .csv, .xlsx, etc.).
b) Subsetting, filtering data, and executing code using logical conditions
c) Automating repetitive tasks with loops (i.e., for, and while)
d) Custom functions

4) Data visualization
a) Creating scatter plots, line graphs, and bar plots ready for publication
b) Brief introduction to high quality plots (i.e., ggplot2)

5) Descriptive statistics and distributions
a) Calculating descriptive statistics
b) Normality tests
c) Visualizing data distributions with histograms, boxplots, and Q-Q plots

6) Parametric and non-parametric tests
a) Performing Analysis of Variance 
b) Post-hoc tests
c) Brief overview of non-parametric alternatives

7) Linear and non-linear regression
a) Building, interpreting, and visualizing simple linear models with lm() function
b) Fitting non-linear models using nls() function

8) Predictive model performance
a) Model performance with R2, Root Mean Squared Error (RMSE), and BIAS
b) Splitting datasets into calibration (training) and prediction (testing)

9) Unsupervised learning - part 1
a) Principal Component Analysis
b) Advanced techniques for complex datasets: t-SNE and UMAP

10) Unsupervised learning - part 2
a) Hierarchical clustering
b) Visualizing and interpreting clustering results

11) Supervised learning - part 1
a) Multivariate regression with Partial Least Squares (PLS)
b) Implementing k-fold cross-validation for building robust models

12) Supervised learning - part 2
a) Introduction to classification algorithms (e.g., Linear Discriminant Analysis, LDA; Quadratic Discriminant Analysis, QDA)
b) Training neural networks

examMode

The final exam involves the development of a data analysis project (Project Work) based on R, to be submitted prior to the exam date, accompanied by the script used and an interpretation of the results. The oral exam will consist of a critical discussion of the submitted project, aimed at assessing proficiency in programming tools, and questions on the theoretical foundations of statistics covered during the course.

books

Douglas C. Montgomery - Design and Analysis of Experiments - McGraw-Hill
Primary reference for Module 1. This text provides the theoretical and methodological foundations required to understand statistics applied to experimentation. It is used to deepen concepts regarding experimental design, hypothesis testing, analysis of variance (ANOVA), and regression, ensuring the necessary formal rigor before moving to computational approaches.

Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund - R for Data Science (2e) - O'Reilly (available online: https://r4ds.hadley.nz/)
Key resource for practical R programming in Module 2. Focused on the "tidyverse" ecosystem, this text covers essential operational skills: data import, data wrangling (cleaning and manipulation), advanced visualization, and workflow management within RStudio.

Thulin, M. - Modern Statistics with R (2e) - Chapman & Hall/CRC (available online: https://www.modernstatisticswithr.com/)
An advanced text bridging the gap between statistical theory and modern data science. It is used to apply the more complex statistical techniques covered in the curriculum within the R environment, including supervised and unsupervised machine learning methods (such as PCA, t-SNE, clustering, and model validation).

David Harvey - Chemometrics Using R, LibreTexts (available online: https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Chemometrics_Using_R_%28Harvey%29)
A specialized resource for applying R to analytical and multivariate data. This text is particularly relevant for the advanced sections of Module 2, as it bridges the gap between lab-based sciences and data modeling. It provides practical guidance on implementing chemometric tools such as Principal Component Analysis (PCA), Partial Least Squares (PLS), and clustering, which are essential for processing complex datasets like those from spectroscopy or food quality analysis.

classRoomMode

Attendance is strongly recommended

bibliography

N.A.

SUBJECT SEMESTER CFU SSD LANGUAGE
119934 - BIO-ECONOMY

DAVIDE DELL'UNTO

First Semester 6 AGR/01 ita

Learning objectives

The course aims to provide students with theoretical and operational knowledge about the bioeconomy. Specifically, the course aims to provide the ability to use and analyze economic and political information and data, to understand the logic and the present and future scenarios of the bioeconomy, with reference to the agri-food sector. The theoretical knowledge will be consolidated by practical exercises on case studies and by the reading, understanding and critical analysis, based on the knowledge gradually acquired, of scientific literature of particular relevance for the aims of the course, both suggested by the teacher and found independently by the students. At the end of the course, students should have acquired critical and judgment skills, as well as being able to find, critically analyze and use economic and political information and data regarding the present and future scenarios of the bioeconomy, with reference to the agri-food sector. During the numerous opportunities for discussion with the teacher and colleagues in the classroom, students will refine their skills in communicating and transmitting what they have learned, using appropriate economic terminology, also in order to acquire full knowledge and mastery of the topics covered in the program. Students will acquire the necessary autonomy to delve deeper, in particular, into the economic aspects addressed and will be able to independently analyze, from an economic perspective, economic and political information and data.

Teacher's Profile

courseProgram

1. General information about the course. Definition, general framework and challenges of the bioeconomy.
2. Importance of the bioeconomy for the national economy, with particular reference to the agri-food sector.
3. Principles and goals of the European Green Deal, and the related Strategies.
4. Specific focus on the goals set by the Farm To Fork strategy for the European agri-food sector.
5. Principles and goals of the Industrial and Livestock Rearing Emissions Directive (IED 2.0).
6. Principles and goals of the Global Methane Pledge.
7. Introduction of some completed and ongoing research:
- consumers' choices on healthy foods (Willingness To Pay a premium price for functional confectionery products);
- production and economic impacts from reducing crop inputs (fertilizers and agrochemicals) on Italian farms according to the provisions of the Farm To Fork strategy, using the AGRITALIM model;
- production and economic impacts from jointly reducing crop inputs and antimicrobials for livestock on specialized Italian livestock farms according to the provisions of the Farm To Fork strategy, using the AGRITALIM model;
- production and economic impacts of setting taxes on methane emissions and subsidies for their reduction, using the AGRITALIM model;
- production and economic impacts of setting a composite economic policy instrument to curb methane emissions from Italian livestock sector, using the AGRITALIM model.
- discussion on the paper entitled "Europe’s Farm to Fork Strategy and Its Commitment to Biotechnology and Organic Farming: Conflicting or Complementary Goals?";
- adoption of Precision Livestock Farming devices in the dairy cattle sector: an assessment based on the AGRITALIM model;
- modelling assessment of the impacts and synergies between measures available for Italian dairy cattle farms for mitigating and adapting to climate change, using the AGRITALIM model;
- pricing irrigation water according to the Water Framework Directive under climate change: impacts in a Mediterranean agricultural area.
8. Theory on the financial Cost-Benefit Analysis and its practical application for ex-ante evaluating the sustainability of breeding programs based on a traditional approach and on novel breeding techniques.
9. Fundamentals of economics, first concepts: circular flow diagram, frontier of production possibilities, concept of opportunity-cost.
10. Market demand function and its determinants; market supply function and its determinants; market equilibrium; characteristics of markets in perfect competition.
11. Demand and supply elasticity to price; characteristics of goods with elastic/inelastic demand and supply (the case of agri-food products); effects of variations of market price on total producers’ revenues in presence of an elastic/inelastic demand function.
12. Consumers, producers and market efficiency; consumers' and producers' surplus and its maximization at the market equilibrium point.
13. Law of decreasing consumers' marginal utility; law of decreasing marginal productivity of production factors.
14. Supply, demand and economic policy; approaches to market regulation (price regulation and the effects of taxation on demand, supply and market equilibrium).
15. Cases market failure; definition and characteristics of market externalities and instruments for their correction (Pigouvian taxes and subsidies, tradable permits); definition and characteristics of public goods.

examMode

The evaluation will take place in two phases:
1. Midterm written exam (not mandatory);
2. Final written exam.
Students who have taken the midterm written exam (and accept its grade) may take a final written exam, the content of which will be limited to the remainder of the program.
The overall exam grade will be calculated as the arithmetic mean of the grades obtained in the two exams.

books

Teaching materials (in PDF, Power Point, Excel, etc.) will be provided by the teacher (handouts).

classRoomMode

Not mandatory, but warmly recommended.

bibliography

Institutional Web-Pages on EU Bioeconomy Strategy:
https://environment.ec.europa.eu/strategy/bioeconomy-strategy_en
https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/14555-Towards-a-Circular-Regenerative-and-Competitive-Bioeconomy/public-consultation_en
Flagship Biorefineries in Italy:
https://www.cbe.europa.eu/projects/first2run
Debate on the revised EU Bioeconomy Strategy:
https://www.youtube.com/watch?v=qHQE0ZrGmDc
The EU Green Deal:
https://en.wikipedia.org/wiki/European_Green_Deal
https://joint-research-centre.ec.europa.eu/jrc-news-and-updates/delivering-european-green-deal-jrc-study-finds-mixed-progress-so-far-2025-02-05_en
https://www.youtube.com/watch?v=xVU_ihjgW5A&t=4824s
https://en.wikipedia.org/wiki/European_Union_Emissions_Trading_System
https://en.wikipedia.org/wiki/EU_Carbon_Border_Adjustment_Mechanism
Policy Lesson on the Farm To Fork:
https://www.youtube.com/watch?v=FnXQ1yzBRDg&t=4205s
EU's Industrial Emissions Directive:
https://en.wikipedia.org/wiki/Industrial_Emissions_Directive
https://en.wikipedia.org/wiki/Best_available_technology
https://www.youtube.com/watch?v=ii1-LLhKltU
https://industry.eea.europa.eu/
Global Methane Pledge:
https://www.globalmethanepledge.org/
https://www.iea.org/policies/17024-european-union-methane-action-plan
Web-App INnDELTA
https://inndelta.unitus.it/

119935 - PLANT GENOMICS AND STRESS RESPONSES - 12 - -

Learning objectives

The course aims to provide knowledge of structural and functional genomics, with a particular focus on the agricultural context, serving as a preparatory step for the future
acquisition of knowledge and skills in plant production management. Additional objectives include enhancing the ability to learn and communication skills, specifically the ability to discuss topics related to genetic improvement and the genomics of agricultural species using appropriate terminology.

GENOME SEQUENCING AND BIOTECHNOLOGICAL APPLICATION

FRANCESCO SESTILI

Second Semester 6 AGR/07 ita

Learning objectives

The course aims to provide knowledge of structural and functional genomics, with a particular focus on the agricultural context, serving as a preparatory step for the future
acquisition of knowledge and skills in plant production management. Additional objectives include enhancing the ability to learn and communication skills, specifically the ability to discuss topics related to genetic improvement and the genomics of agricultural species using appropriate terminology.

Teacher's Profile

courseProgram

PROGRAM The program is divided in two modules: 1) Structural Genomics, 2) Functional Genomics. 1) STRUCTURAL GENOMICS (10 hours of lesson) - Sequencing methods: 1) Second generation sequencing: ILLUMINA, Pyrosyquencing (ROCHE 454), SOLiD; 2) Third Generation Sequencing: HELICOS (Helicos Biosciences); PacBio (Pacific Biosciences); Nanopore (Oxoford Nanopore); 2) Comparison of next generation and next-netx generation sequencing methods. - Full genome sequencing strategies: hierarchical method and WHOLE GENOME SHOTGUN; - Gene Annotation; - Functional annotation; - Projects for the sequencing of whole genomes in plant species of agricultural interest. - Illustration of major databases (NCBI, EMBL, DDBJ), searches in biological databases (BLAST), sequencing software and for the design of oligonucleotides; 2) FUNCTIONAL GENOMICS - The genetic transformation of plant species. Transformation mediated by Agrobacterium or by biolistic method. Preparation of plasmid vectors. - Study of gene function: gene overexpression and knock-out (RNA antisense, RNA interference) in transgenic plants; - Preparation of constructs for the realization of cis-genic plants. - Chemical mutagenesis and TILLING; physical mutagenesis with fast ions and neutrons; insertional mutagenesis: T-DNA and transposons; - Application of mutagenesis for functional studies and breeding programs. - Site-specific modifications. Methods of "genome editing": 1) zinc-finger nucleases (ZFN), 2) transcription activator-like effector nucleases (TALENs), and 3) Clustered Regularly Interspaced Short Palindromic Repeats-associated (Cas) proteins (CRISPR / Cas) - Application of "genome editing" methods for the genetic improvement of species of agrarian interest. Laboratory exercises will focus on the following topics: 1) Search in databases of nucleotide and protein sequences. Use of bioinformatics tools to open sequence files (DNAMAN, FINCH TV, GENEIOUS). Use of the BLAST algorithm to search nucleotide or protein sequences in databases. Alignment of nucleotide and acidic amino acids through the CLUSTAL OMEGA and GENEIOUS programs. Construction of phylogenetic trees 2) Identification of SNPs on genes of interest by TILLING in durum wheat 3) Preparation of constructs for genetic transformation by cis-genic approach: Insertion of the recombinant cassette into a bacterial vector; Transformation of bacterial cells; Extraction and digestion of the recombinant plasmids with restriction enzymes 4) Use of molecular marker to select transgenic plants

examMode

Power Point presentation of 2 articles related to two different lesson topics. Usually one is related to structural genomics and the other to functional genomics.
During the presentation specific questions will be asked both about the articles taken in exam and the topics of the course.

books

Materials and power point presentations provided by the professor

mode

Lectures (18 hours), case study presentations (18 hours), and laboratory exercises (18 hours).

classRoomMode

the frequence is not mandatory

bibliography

GENETICA un approccio molecolare. Quarta edizione Peter J. Russell Edizione italiana a cura di Carla Cicchini e Alessandra Marchetti ISBN:9788865186176 Biotecnologie e Genomica delle Piante. Rosa Rao e Antonietta Leone. Editor IDELSON-GNOCCHI. Power Point presentations and papers provided by the professor.

ENGINEERING CROP RESPONSE TO STRESSES

DANIEL VALENTIN SAVATIN

Second Semester 6 BIO/04 ita

Learning objectives

Module I - Genome sequencing and biotechnological Applications
The course aims to provide knowledge of structural and functional genomics, with a particular focus on the agricultural context, serving as a preparatory step for the future
acquisition of knowledge and skills in plant production management. Additional objectives include enhancing the ability to learn and communication skills, specifically the ability to discuss topics related to genetic improvement and the genomics of agricultural species using appropriate terminology.

Module II - Engineering crop response to stresses
The course aims to consolidate and expand the knowledge of the biochemical and physiological mechanisms that plants put in place to adapt to unfavorable environmental
conditions and to defend themselves from pathogens. Students will acquire the ability to critically analyze and independently solve problems related to crop resilience, in the
classroom, with originality, and through multidisciplinary approaches more related to genetics, molecular biology, biochemistry and plant physiology. In addition, students will
develop the ability to synthesize and integrate knowledge by formulating solid judgments even on the basis of incomplete or restricted information. Such conclusions and
recommendations will be communicated through the argumentation of the knowledge gained during the course and the motivations behind it, both to a specialized and nonspecialist audience, in a clear and unambiguous way. The notions and concepts acquired during the course will provide students with greater responsibility for further professional development.

Teacher's Profile

courseProgram

Plant response to biotic and abiotic stresses Abiotic stresses: drought; salinity; flooding; high and low temperature; oxidative stress; mineral toxicity (es: Al3+). Biotechnological strategies for engineering plants with resistance to drought: discussion of scientific papers. Biotic stresses: Plant defence mechanisms against pathogens; constitutive and induced defenses. Systemic acquired resistance (SAR). Plant immunity. Pathogen perception and signal transduction. Biotechnological strategies for engineering plants with resistance to pathogens (discussion of scientific papers): Plant or exogenous genes with antimicrobial activity or contrasting virulence factors; plant or pathogen genes inducing or reinforcing plant immunity. Transgenic commercial crops resistant to virus and insects. Genetically modified crops: ethical and social issues with particular reference to transgenic crop resistant to pathognes; possible biotechnological approaches to overcome critics. Case study: corn MON810. Environmental changes and crop diseases. Plant transformation: Agrobacterium, reporter genes; constitutive, tissue-specific, inducible and synthetic promoters.

examMode

Power Point presentation of 2 articles related to two different lesson topics. Usually one is related to biotic stresses and the other to abiotic stresses.
During the presentation specific questions will be asked both about the articles taken in exam and the topics of the course.

books

-Buchanan, Gruissem, Jones: Biochimica e Biologia molecolare delle piante. Zanichelli
-Altman A. Paul, Hasegawa M. (Editors) Plant Biotechnology and Agriculture: Prospects for the 21st Century. Academic Press Elsevier
-Chrispeels M.J. e Sadava D. E. Genetica, Biotecnologie e Agricoltura Sostenibile, 2005. (traduzione italiana a cura di Sala F. et al.). Casa Editrice Idelson-Gnocchi.
Teaching material supplied by the professor including slides of classes and scientific papers

mode

The course is delivered in mixed mode

classRoomMode

In presence.

bibliography

-Buchanan, Gruissem, Jones: Biochimica e Biologia molecolare delle piante. Zanichelli
-Altman A. Paul, Hasegawa M. (Editors) Plant Biotechnology and Agriculture: Prospects for the 21st Century. Academic Press Elsevier
-Chrispeels M.J. e Sadava D. E. Genetica, Biotecnologie e Agricoltura Sostenibile, 2005. (traduzione italiana a cura di Sala F. et al.). Casa Editrice Idelson-Gnocchi.
Teaching material supplied by the professor including slides of classes and scientific papers

119936 - WOODY FRUIT CROP BIOTECHNOLOGY

ROSARIO MULEO

First Semester 6 AGR/03 ita

Learning objectives

Student will acquire knowledge on molecular physiology and applied biology (genetics and epigenetics) related to the vegetative and productive behavior of fruit tree species, on their adaptation to different environmental conditions and cultural practices. Students will also learn knowledge on the evolution of the synthesis and accumulation pathways of metabolites in fruits, usable in genetic improvement for obtaining functional foods, using innovative technologies. The knowledge acquired and the experience carried out attending the lectures and the lab exercises will enable students to penetrate the topics, through analysis, and by using critical methodology to understand the problems and to put forward hypotheses for overcoming them, as well as to formulate innovative application hypotheses, with originality and with multidisciplinary approaches (genetics, molecular biology, biochemistry, plant physiology, ecophysiology and cultivation of tree plants), in applied tree plant biology. The understanding of the issues, their framing in biological and agronomical processes, and the generation of hypotheses for biotechnological applications will strengthen the student's ability to synthesize and integrate knowledge and enable him/her to generate judgements anchored in reality and advance hypotheses to acquire new information with scientific rigor. The set of experiences conducted will enable the student to expose his knowledge, reflections and conjectures to a wide audience, enriched by extensive knowledge of cultivation, scientific literature and methodologies, and with the necessary robustness due to a solid training that will enable him to generate original conclusions. The student will thus be able to address a specialized audience and clearly disseminate knowledge to a broad public. Attending classroom lectures, exercises and study visits, the student will acquire the tools for in-depth independent knowledge and independent thinking.

Teacher's Profile

courseProgram

Overview of woody plants’ structure and organization, and a unique paradigm of single plant: union of two genomes and epigenomes.
Woody Fruit crop genome and epigenetic organization. Structure of woody plant genome: olive genome.
Gene flow between rootstock and cultivar and regulation and plant architecture and plant production.
Vegetative propagation: molecular regulation of mass in vitro propagation, molecular regulation of adventitious root induction, and biotechnology applications.
Overview of genetic diversity. Methods to measure genetic diversity (molecular markers, GBS). Major determinants in genetic diversity. Somaclonal variations In vivo and in vitro, molecular tools to identify genetic and epigenetic variants.
Woody fruit crop self-incompatibility: genetic analysis in stone fruit (cherry), pome fruit (apple and pear), and olive.
Seedless fruit improvement: parthenocarpy and stenospermocarpy, genetic and epigenetic regulation and biotechnology application.
Genetic and epigenetic regulation of metabolites in wood plant and fruits: a biotechnology strategy to improve nutraceutical properties fruit.
Overview on methods to identify epigenetic pathways and genes associated with phenotypical traits (GWAS, QTL, genomic selection, comparative genomics omics approaches, such as genomics, transcriptomics, ionomics, metabolomics, phenomics).
Breeding concept for cultivar and rootstock: objectives of breeding and limitation.
Rapid overview on methods to exploit genes and gene variants, plant transformation, genome editing, and conventional and genetic engineering breeding in woody plants.
Pre-breeding and gene pyramiding.
Example of breeding approaches on Breeding approaches on grapevine, citrus, peach, apples, and olive.
Laboratory and practical activities: RNA extraction and quantification, cDNA synthesis, real-time PCR and data analysis; practical activity will be also dedicated to the evaluate and identify genetic and epigenetic natural and In vitro induced somaclonal variants in fruit crop species, tolerating stress tolerance, and change in plant development (vigour and flowering) and reproductive biology, using High resolution melting analysis (HRMA) and EpiHRMA, RealTime gene expression. Dedicated free software will be used to analyze data from omics analysis.

examMode

The final valuation will consider knowledge and concepts acquired, ability to analyze problems, connect interdisciplinary knowledge, make hypotheses and judgments, and mastery and clarity of expression and exposition. The candidate will be asked five questions spanning the entire program, each of which is scored from 0 to 10. The final grade is the average of the five individual marks.
In critical situations, such as a high number in the reservation of candidates, or peculiarities of one or more candidates, the examination may be conducted in written form with five open-ended questions, graded as for the oral. Candidates will be given one and a half hours to answer. In addition, at the request of individual students, it is still possible to take the examination in written or oral form, regardless of what is reported in the official roll call.
At the candidate's request, a PowerPoint presentation may be given, exploring two topics agreed upon with the lecturer, who will provide two articles published during the current year. The presentation of the two articles, lasting 40 minutes, requires students to present and discuss their critique of the two articles.The presentation will be given a score from 0 to 10 and each of the answers to the three questions. The lecturer was deemed appropriate, in order to increase the clarity of the exposition may ask questions. The final grade will be formulated considering the level of content knowledge, ability to analyze, synthesize and make interdisciplinary connections, critical thinking and clarity of exposition. The final grade corresponds to the average of the individual grades.

books

Biodiversity, Chapman & Hall, London, 1988
G. Valle, M. Helmer Citterich, M. Attimonelli, G. Pesole., Introduzione alla Bioinformatica, Zanichelli, 2003
LITZ R.E., BIOTECHNOLOGY OF FRUIT AND NUT CROPS., CABI PUBLISHING, 2004
Articoli e materiale didattico forniti direttamente dal docente

mode

The course features up to 60% of the hours in the classroom, and the remaining 40% administered as field laboratory activities, visits in farms. The course will be taught in Italian, with slides and supplementary material in Italian and English. Although the frequency is not obligatory, the frequency of laboratory activities and exercises is strongly recommended, and which cannot be less than 70% of the scheduled hours. Observations on development of the fruit tree plant will be carried out, and laboratory activities on gene expression of important networks of plant development and plant production, epigenetic analysis with EpyHRMAssay technology, secondary metabolism analysis and bioinformatic analysis genomic, transcriptomic. Metabolic measurements and other parameters of fruit quality will be carried out in the fruits of some cultivated species. Metabolites measurements and other fruit quality parameters will be measured in some fruit crops. Lectures will be supported by powerpoint presentations containing mindmaps, comments on graphs and photograph, illustration of cell function and biotechnology tools and procedure of the issues and will be available to students to promote further discussion and forum. Additionally, novelty articles published recently and/or during the teaching period will be distributed and discussed with the aims to advance the knowledge on the topics of the teaching subjects. Therefore, students will be called to the debate to increase understanding and hypothesize possible solutions.

classRoomMode

The course features up to 60% of the hours in the classroom, and the remaining 40% administered as field laboratory activities, visits in farms. Attendance at tutorials and seminars is compulsory.

bibliography

Biodiversity, Chapman & Hall, London, 1988
G. Valle, M. Helmer Citterich, M. Attimonelli, G. Pesole., Introduzione alla Bioinformatica, Zanichelli, 2003
LITZ R.E., BIOTECHNOLOGY OF FRUIT AND NUT CROPS., CABI PUBLISHING, 2004
Articoli e materiale didattico forniti direttamente dal docente

119942 - INTERNSHIP

First Semester 6 ita
119941 - ELECTIVE COURSES

First Semester 12 ita
119933 - QUALITY OF PLANT-BASED FOODS

STEFANIA MASCI

Second Semester 6 AGR/07 ita

Learning objectives

After acquiring basic knowledge about the constitution of plant varieties, the methodologies and issues related to the control and traceability of raw materials of plant origin are further explored, with particular focus on wheat Acquisition of research methods and development of critical thinking regarding issues related to the quality of plant-based raw materials and their traceability. The knowledge acquired during the course and the experience in critically reading scientific articles will provide students with critical skills, not only regarding technical and scientific aspects but also the ethical and social issues related to the topics covered. Both during classes and exams, great importance is placed on the ability to adequately communicate the topics covered, requiring different approaches depending on the type of audience. Lectures, study visits, and practical exercises are designed to provide students with all the elements needed for independent study.

Teacher's Profile

courseProgram

The course is organized with a preliminary part during which various crops are illustrated in terms of the relative qualitative aspects, with greater in-depth analysis of wheat, the problems relating to traceability , along with the biochemical and molecular techniques whose knowledge is necessary for the understanding of the specific topics that will be addressed in the second part.
Specifically, this preliminary part of the program includes:
• Definition of crop quality and description of the main qualitative characteristics
• Possibility of genetic intervention to improve quality characteristics
• Legislation in regard to traceability and tracking in supply chains, certification and labeling, individual and collective marks, certification of quality
• Definition of food fraud
• Analytical methods: proteomics, standards and quantitative PCR (RT-PCR), chromatography, ELISA test, molecular markers, including DNA barcoding

In the second part specific problems related to plant-based products are presented. Stable subjects are wheat-based products and genetically modified plants. According to the time necessary to carry out exhaustively these two major issues, other issues are treated, on the basis of the preferences expressed by the students, such as, for example, vegetable oils and wine traceability.
Concerning wheat-based products, bread and pasta, with the relevant legal definitions and the processes that lead to their realization are illustrated. A few typical breads are also described and case studies in which biochemical and molecular techniques are used for their traceability are presented.
Part of the course is devoted to adverse reactions to wheat (in particular allergies, celiac disease and non-celiac wheat sensitivity).
With regard to genetically modified plants, the substantial equivalence issue is developed, along with legislation issues. The main methods of traceability and risk assessment, are discussed by presenting specific case studies.

All case studies are presented in order to stimulate the students critical skills. Every case study is presented by giving particular importance to the aim of the work, the procedure to be followed to achieve the proposed objective, the critical discussion of the results.

The practical classes provided are:
• SDS-PAGE of pasta products to control the varietal composition declared on the label, through the comparison of the electrophoretic profiles obtained by extracting proteins from pasta products, with that from the declared wheat varieties
• SDS sedimentation test for the prediction of dough technological properties. Two durum and two bread wheats with opposing technological properties are usually compared in order to highlight differences
• SE-HPLC for the prediction of dough technological properties. Two durum and two bread wheats with opposing technological properties are usually compared in order to highlight differences
• ELISA test on pasta for celiac people to control the effective absence of gluten using polyclonal antibodies against gluten proteins

examMode

A PowerPoint presentation related to a topic chosen by the student, but agreed with the lecturer, is normally required, followed by two questions on the program. A crop or a product of plant origin, or a topic present in the programme, is chosen, on the basis of which the lecturer assigns 2 specific papers, at least one of which is a review (also chosen by the student himself, subject to the lecturer's approval) on which the student relies to elaborate his/her oral presentation, which must last no less than 15 minutes and no more than 20.
A score between 18 and 30 is given to the presentation and to each of the answers to the two questions on the general part, taking into account the student's level of content knowledge, ability to analyze, synthesize and make interdisciplinary connections, critical thinking and clarity of exposition. The final mark corresponds to the average of the individual marks and it is necessary to have a sufficiency in each question.
It is advisable to contact the lecturer at least one month before the exam call

books

The teacher makes the slides and the bibliographic materials available

mode

Lessons are carried out in classroom, while the practical classes are held in the dedicated classroom. In this latter case, if the number of students is greater than 25, the exercitations are carried out in turns. Some practical classes (specifically the SE-HPLC and the ELISA test) are carried out in groups of 4-5 students in the teacher's lab.
Normally a study visit is carried out at a milling plant or at the cereal technology laboratories of CREA (Rome)

classRoomMode

The lessons are carried out in classroom, while the practical classes are held in the dedicated classroom . In this latter case, if the number of students is greater than 25, the exercitations are carried out in turns. Some practical classes (specifically the SE-HPLC and the ELISA test) are carried out in groups of 4-5 students in the teacher's lab.
Normally a study visit is carried out at a milling plant or at the cereal technology laboratories of CREA (Rome)

bibliography

The teacher makes the slides and the bibliographic materials available

119943 - THESIS

Second Semester 24 ita

Learning objectives

The course will introduce students to the principles and experimental approaches, in continuous evolution, of plant biotechnology. The course aims to strengthen the basic
knowledge on plant biotechnologies applied to forest trees (green biotechnologies, categories of biotechnological processes and products, model plants, plant tissue cultures,
recombinant methods, molecular tools), offering a framework to address current scientific problems (i.e. the use of transgenic trees) and also provide a basis for specialized studies in the field of in vitro clonal propagation, genetic improvement of trees and functional genomics. In the laboratory lessons students will develop some of the techniques currently used to obtain micropropagated plants, cultures of calluses and protoplasts of forest species and to detect genetic variation. The key concepts of the course will be integrated into a series of case studies and students will improve their ability to apply them to new situations in problem solving sessions, in particular dedicated to the Mediterranean region. At the end of the course, students will have an in-depth knowledge of the basic principles of forest biotechnology and modern techniques to obtain technological products (in vitro material characterized by clonal fidelity or somaclonal variants, secondary metabolites, transgenic and cisgenic tree materials, molecular tools for the study of genetic variability). Finally, they will have acquired the ability to understand the potential of using biotech trees to increase the productivity of forest plantations even in disadvantaged environments (biotic and abiotic stresses) or to use biotech trees for the recovery of arid soils (salinity, pollution).
Students will be encouraged to make use of the knowledge acquired during the course and during the laboratory exercises to apply it to specific problems such as, for example, the propagation of improved genotypes or somaclonal variants resistant to stressful biotics or abiotics or characterized by high wood productivity, as well as the conservation of threatened species or origins. Students will be able to interpret and discuss the scientific works presented in class and to identify its highlights and highlights.
During the lessons, students' ability to reflect and discuss the topics covered will be stimulated, as well as the comparison of opinions to develop their communication skills.
These skills will then be tested during the exam. Students will be able to expose and develop scientific topics related to the course. The active involvement of students through oral discussions in the classroom and experiences in laboratory practices will develop this skill.

Teacher's Profile

courseProgram

Activities lectures will be focused on the following groups of topics/abilities.
- General introduction to plant biotechnology: history, global significance of modern plant biotechnology, biotech trees;
- Model plants for tree species: the need of a model plant for tree species;
- Vegetative propagation and tissue culture (tree cloning, micropropagation, cryopreservation, callus culture, haploid plants, protoplast isolation, production of secondary metabolites);
- General introduction to the genetically modified trees; Methods of genetic transformation of forest trees (Agrobacterium, biolistic, and electroporation)
- Applications of recombinant DNA technology for the improvement of forest trees
- General introduction to the Omics sciences (genomics, proteomics and metabolomics)
- Sequencing of tree species (history and main methodologies), Next generation sequencing
- Molecular markers history, molecular markers currently used in plant biotechnology

examMode

Oral exam on the course program to verify the ability to know and link the contents of the course.
The exam consists of an oral exam. We would like to remind students that, in order to take the exam, they must register for the exam session in question at the “Portale dello studente”. The exam is the same for both attending students and non-attenders.
The exam takes place according to the University Teaching Regulations. The exam is scored out of a maximum of 30 points (minimum mark 18/30), which will go into the calculation of your grade point average, and evaluates your:
1. knowledge of course contents (superficial, appropriate, accurate and complete, complete and in-depth);
2. ability to integrate and critically discuss course contents (sufficient, good, very good);
3. skill in planning a monitoring activity starting from a case study (sufficient, good, very good);
4. level of clarity in exposition (lack of exposure, simple, clear and correct, safe and correct);
4. livello di chiarezza nell'esposizione (mancanza di esposizione, semplice, chiaro e corretto, sicuro e corretto).

books

1. Plant Cell Culture, essential methods (2010). Edited by M.R. Davey and P. Anthony. Wiley-Blackwell.
2. Tree biotechnology (2014). Edited by K. G. Ramawat, J. M. Mérillon, M. R. Ahuja. CRC Press.
3. Plant Biotechnology and Agriculture: Prospects for the 21st Century (2012). Edited by Altman A and Hasegawa PM. Accademic Press.
4. Plants, genes, and Crop Biotechnology (2003). Edited by M.J. Chrispeels & D.E. Sadava. Jones and Bartlett publishers.
Non-attending students are encouraged to contact the teacher for information about the program, teaching materials, and how to evaluate the benefit.

classRoomMode

Strongly recommended, especially for lab practices, but not mandatory.

bibliography

See textbooks

Teacher's Profile

courseProgram

Activities lectures will be focused on the following groups of topics/abilities.
- General introduction to plant biotechnology: history, global significance of modern plant biotechnology, biotech trees;
- Model plants for tree species: the need of a model plant for tree species;
- Vegetative propagation and tissue culture (tree cloning, micropropagation, cryopreservation, callus culture, haploid plants, protoplast isolation, production of secondary metabolites);
- General introduction to the genetically modified trees; Methods of genetic transformation of forest trees (Agrobacterium, biolistic, and electroporation)
- Applications of recombinant DNA technology for the improvement of forest trees
- General introduction to the Omics sciences (genomics, proteomics and metabolomics)
- Sequencing of tree species (history and main methodologies), Next generation sequencing
- Molecular markers history, molecular markers currently used in plant biotechnology

examMode

Oral exam on the course program to verify the ability to know and link the contents of the course.
The exam consists of an oral exam. We would like to remind students that, in order to take the exam, they must register for the exam session in question at the “Portale dello studente”. The exam is the same for both attending students and non-attenders.
The exam takes place according to the University Teaching Regulations. The exam is scored out of a maximum of 30 points (minimum mark 18/30), which will go into the calculation of your grade point average, and evaluates your:
1. knowledge of course contents (superficial, appropriate, accurate and complete, complete and in-depth);
2. ability to integrate and critically discuss course contents (sufficient, good, very good);
3. skill in planning a monitoring activity starting from a case study (sufficient, good, very good);
4. level of clarity in exposition (lack of exposure, simple, clear and correct, safe and correct);
4. livello di chiarezza nell'esposizione (mancanza di esposizione, semplice, chiaro e corretto, sicuro e corretto).

books

1. Plant Cell Culture, essential methods (2010). Edited by M.R. Davey and P. Anthony. Wiley-Blackwell.
2. Tree biotechnology (2014). Edited by K. G. Ramawat, J. M. Mérillon, M. R. Ahuja. CRC Press.
3. Plant Biotechnology and Agriculture: Prospects for the 21st Century (2012). Edited by Altman A and Hasegawa PM. Accademic Press.
4. Plants, genes, and Crop Biotechnology (2003). Edited by M.J. Chrispeels & D.E. Sadava. Jones and Bartlett publishers.
Non-attending students are encouraged to contact the teacher for information about the program, teaching materials, and how to evaluate the benefit.

classRoomMode

Strongly recommended, especially for lab practices, but not mandatory.

bibliography

See textbooks

Learning objectives

Didactic Objectives
The course aims to provide advanced knowledge and practical tools to understand, evaluate, and improve the quality of vegetable crops through the adoption of technological innovations and sustainable strategies. Students will acquire skills related to the factors influencing vegetable quality (intrinsic and extrinsic), innovative cultivation techniques (soilless systems, nutrition and irrigation management, use of sensors), and strategies to enhance the nutritional and functional value of productions (grafting, biostimulants, nutraceutical greenhouses). Particular emphasis will be placed on the integration of theoretical knowledge with applied and interpretative skills, as well as on the development of critical autonomy and communication abilities.
At the end of the course, students will be able to:
• Apply the acquired knowledge in real production contexts (applying knowledge and understanding);
• Make independent and critical judgments regarding the use of technological innovations and crop management strategies (making judgements);
• Communicate clearly and scientifically the results of their analyses and project designs (communication skills);
• Independently update their knowledge and skills in relation to the evolution of technologies and cultivation practices (learning skills).

Teacher's Profile

courseProgram

Concept and meaning of quality in vegetables: i) intrinsic properties (nutritional, organoleptic, safety) and extrinsic properties (commercial, aesthetic); ii) quality by product type: roots, leaves, fruits.
Cultivation environment and production systems: greenhouse vs open field (light, temperature, humidity), soilless systems (advanced hydroponic and aeroponic systems), management of nutrition and irrigation management, growing substrates, fresh-cut produce and nitrate control, use of sensors for real-time monitoring.
Strategies to improve quality: herbaceous grafting, biostimulants (types and application methods), nutraceutical greenhouses for for functional foods.
Analysis of real experiences in improving vegetable quality.

examMode

The written test will include multiple-choice questions and open-ended questions.

books

Orticoltura. Principi e pratica'. Edagricole. Curatori: Pardossi, Gianquinto, Santamaria, Incrocci
'Colture fuori suolo. Idroponica e coltivazione in substrato' Edagricole. Incrocci, Malorgio, Massa.
'Biostimolanti per un'agricoltura sostenibile' Ed. Informatore Agrario. Curatori: Colla, Rouphael

classRoomMode

Optional

Learning objectives

The course aims to consolidate basic knowledge regarding genomic databases and new sequencing technologies. Additionally, it will provide basic knowledge of programming languages necessary for the bioinformatics analyses addressed during the course. At the end of the course, students will be able to apply their skills to tackle and solve complex problems in the field of bioinformatics, such as the analysis and interpretation of large genomic datasets. They will also be capable of planning a genomic sequencing experiment and utilizing bioinformatics pipelines applicable in various scientific research contexts. Students will acquire the ability to integrate interdisciplinary knowledge from bioinformatics, genetics, and molecular biology to manage and solve multidimensional and complex problems. They will be able to tackle the complexity of biological data and information technologies, adapting and optimizing methodologies to address new and intricate challenges. Students will be able to communicate their chosen methodologies, results, and conclusions using technical and scientific language to both specialist and non-specialist audiences, through scientific documentation, academic articles, and oral presentations. The course will include theoretical lectures and practical exercises during which students will acquire the necessary skills for an autonomous learning in the field of bioinformatics. They will need to identify their own educational needs, address any gaps in their knowledge, and stay updated on emerging technologies and methodologies.

Teacher's Profile

courseProgram

This course is meant for master students, PhD students and researchers who want to acquire an adequate knowledge regarding programming languages, technologies and platforms for genome sequencing and computational tools used for data analysis and results interpretation. The students will be guided throught an historical excursus, from the first sequencing technologies to the latest advanced ones and they will be able to discern and decide the most appropriate for their experimental design. Furthermore, basic knowledge of programming languages and of the most used operating systems will be provided. Thus, at the end of the course the students will be able to:
- Plan and develop a genomic computational experiment from the beginning.
- Choose the appropriate sequencing technlogy.
- Browse the main data bases.
- Align nucleic and proteic sequences.
- Perform a genome assembly, evaluate the differential genomic expression and identify all the biodiversity in a environmental community.

examMode

The exam is oral, with general question regarding the arguments in the program. The student will be evaluated for his/her critical thinking, knowledge acquisition and participation during the practical lectures.

books

All the necessary course material will be provided during the course and will be available on Moodle.

mode

The course is organized in frontal theoretical lessons and practical lessons. There is the possibily to follow the course by remote only for the theorical part.

classRoomMode

Attendance at classes is not compulsory but strongly recommended.

Learning objectives

Knowledge and understanding: Students will acquire advanced knowledge of plant tissue culture techniques, the use of PGRs, micropropagation, somatic embryogenesis,
organogenesis, genetic transformation and genome editing (CRISPR/Cas and VIGS), virosis, thermotherapy, and cryotherapy. Applying knowledge and understanding: Students will apply advanced techniques to solve problems in plant tissue culture, improve protocols and in vitro culture techniques, including those aimed at plant breeding.
Making judgment: Students will develop the ability to evaluate the effectiveness of techniques and protocols used, solve specific problems, and adapt techniques to different
plant species. Communication skills: Students will improve their communication skills to present their research results clearly and efficiently. Learning skills: The course encourages continuous learning, preparing students to constantly update themselves on new techniques and discoveries in the field of plant tissue culture and genetic transformation, also through the use of common search engines (Scopus, WoS, Google Scholar).

Teacher's Profile

courseProgram

Advanced Techniques of Plant Tissue Culture, Manipulation of growth regulators for specific outcomes, novel hormones, less frequently used growth regulators and small molecules peptides, troubleshooting common issues in tissue culture, Advanced Applications of Micropropagation (Photoautotrophic culture, liquid culture and bioreactors). Micropropagation of economically important plant species Somatic Embryogenesis and Organogenesis and genetic transformation techniques: Challenges and strategies for improving efficiency, recalcitrance. Protocols for CRISPR/Cas and VIGS. Principle and application of trans-grafting. Plants for Health: From Secondary Metabolites to Molecular Farming. Advanced Techniques for Genetic Stability and Virus Elimination techniques in tissue culture (Thermotherapy and Cryotherapy). Integration of omics data for improving tissue culture protocols. Regulatory frameworks for genetically modified organisms.

examMode

Assessment will be based on exams, laboratory reports and presentations

books

Students will have access to a selection of scientific articles and study materials provided by the instructor during the course

mode

The course will include lectures, laboratory sessions, seminars, and discussions. Practical demonstrations and case studies will be used to reinforce theoretical concepts.

classRoomMode

The attendance of the course is not mandatory. However, it is strongly recommended

bibliography

Plant Tissue Culture, Development, and Biotechnology
Edited ByRobert N. Trigiano, Dennis J. Gray

Learning objectives

At the end of the course the student will have learned the definitions of nanotechnologies, nanomaterials; will be able to list the main applications with associated potential and limits of nanomaterials in agriculture; will be able to analyze a scientific text concerning these applications by discriminating the validity of the proposed methods and the possible implications of research on industrial scalability and implementation in everyday contexts.

Learning objectives

Knowledge and understanding
By the end of the course, students will grasp the core statistical principles applied to agricultural sciences, ranging from descriptive statistics to inferential methods (hypothesis testing, ANOVA, regression). They will understand the logic behind R programming, mastering the syntax required to handle complex data structures like vectors, data frames, and matrices. Furthermore, students will comprehend the theoretical and practical distinctions between supervised machine learning techniques (such as PLS, LDA, neural networks) and unsupervised ones (PCA, clustering, t-SNE), understanding exactly when and why to use them.

Applying knowledge and understanding
Students will be able to turn raw data into actionable insights by working independently within the R environment (RStudio, VS Code, or Positron). They will know how to write and execute scripts to import data, manage it using loops and logical conditions, and perform comprehensive statistical analyses. Specifically, they will be able to run parametric and non-parametric tests, build regression models (linear and non-linear), and implement classification and clustering algorithms. This practical skill will be directly demonstrated through the R script preparation required for the final exam.

Making judgments
Students will develop the critical thinking skills needed to interpret the numerical and graphical outputs generated by the software. Rather than simply running code, they will be able to assess the quality of predictive models (using metrics like RMSE or R2) and the statistical significance of their tests. A key component will be the ability to use AI assistants (LLMs) critically: students will learn to validate AI-generated code, avoiding passive “vibe coding” by identifying and fixing logical errors or hallucinations suggested by automated tools.

Communication skills
Students will be able to present their analysis results using appropriate technical language and high-quality data visualizations (publication-ready plots). They will be able to justify their statistical choices, such as why a non-parametric test or a specific clustering algorithm was used, both through clear comments within their exam script and by answering theoretical questions related to the first module.

Learning skills
The course will provide the methodology for continuous self-learning in the fast-evolving field of Data Science. Students will learn how to consult R library documentation, debug their own code, and properly use LLMs as tutors to speed up the learning of new functions or packages not covered in class, making them autonomous in tackling future analytical challenges.

Teacher's Profile

courseProgram

Module 1 - Fundamentals (3 CFU)
1) The function of statistics in the field of agricultural sciences
2) Population, sample, variable and data
3) Qualitative (nominal, ordinal) and quantitative (discrete, continuous) variables
4) Mean, median, mode, variance, standard deviation, range and coefficient of variation
5) Asymmetry and kurtosis
6) Histograms, box plots, bar graphs and line graphs
7) Normal distribution
8) Null hypothesis and alternative hypothesis, type I and type II errors
9) t-test, z-test, ANOVA, and post-hoc tests
10) Correlation, and linear non-linear regression
11) Principal component analysis and non-linear alternatives
12) Clustering

Module 2 – Applied statistics with R (3 CFU)
1) R fundamentals
a) Introduction to R
b) Installation and use of Integrated Development Environments (IDEs): RStudio, Positron, or VS Code
c) Basic operators, variables, and vectors

2) Data structures and AI Assistant for coding
a) Data structures: matrices, data frames, and lists
b) Large Language Models (LLMs): how to properly use ChatGPT & Co. to boost learning, avoiding the dangerous “vibe coding”

3) Data import, manipulation, and automation
a) Importing data into R from common file types (e.g., .csv, .xlsx, etc.).
b) Subsetting, filtering data, and executing code using logical conditions
c) Automating repetitive tasks with loops (i.e., for, and while)
d) Custom functions

4) Data visualization
a) Creating scatter plots, line graphs, and bar plots ready for publication
b) Brief introduction to high quality plots (i.e., ggplot2)

5) Descriptive statistics and distributions
a) Calculating descriptive statistics
b) Normality tests
c) Visualizing data distributions with histograms, boxplots, and Q-Q plots

6) Parametric and non-parametric tests
a) Performing Analysis of Variance 
b) Post-hoc tests
c) Brief overview of non-parametric alternatives

7) Linear and non-linear regression
a) Building, interpreting, and visualizing simple linear models with lm() function
b) Fitting non-linear models using nls() function

8) Predictive model performance
a) Model performance with R2, Root Mean Squared Error (RMSE), and BIAS
b) Splitting datasets into calibration (training) and prediction (testing)

9) Unsupervised learning - part 1
a) Principal Component Analysis
b) Advanced techniques for complex datasets: t-SNE and UMAP

10) Unsupervised learning - part 2
a) Hierarchical clustering
b) Visualizing and interpreting clustering results

11) Supervised learning - part 1
a) Multivariate regression with Partial Least Squares (PLS)
b) Implementing k-fold cross-validation for building robust models

12) Supervised learning - part 2
a) Introduction to classification algorithms (e.g., Linear Discriminant Analysis, LDA; Quadratic Discriminant Analysis, QDA)
b) Training neural networks

examMode

The final exam involves the development of a data analysis project (Project Work) based on R, to be submitted prior to the exam date, accompanied by the script used and an interpretation of the results. The oral exam will consist of a critical discussion of the submitted project, aimed at assessing proficiency in programming tools, and questions on the theoretical foundations of statistics covered during the course.

books

Douglas C. Montgomery - Design and Analysis of Experiments - McGraw-Hill
Primary reference for Module 1. This text provides the theoretical and methodological foundations required to understand statistics applied to experimentation. It is used to deepen concepts regarding experimental design, hypothesis testing, analysis of variance (ANOVA), and regression, ensuring the necessary formal rigor before moving to computational approaches.

Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund - R for Data Science (2e) - O'Reilly (available online: https://r4ds.hadley.nz/)
Key resource for practical R programming in Module 2. Focused on the "tidyverse" ecosystem, this text covers essential operational skills: data import, data wrangling (cleaning and manipulation), advanced visualization, and workflow management within RStudio.

Thulin, M. - Modern Statistics with R (2e) - Chapman & Hall/CRC (available online: https://www.modernstatisticswithr.com/)
An advanced text bridging the gap between statistical theory and modern data science. It is used to apply the more complex statistical techniques covered in the curriculum within the R environment, including supervised and unsupervised machine learning methods (such as PCA, t-SNE, clustering, and model validation).

David Harvey - Chemometrics Using R, LibreTexts (available online: https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Chemometrics_Using_R_%28Harvey%29)
A specialized resource for applying R to analytical and multivariate data. This text is particularly relevant for the advanced sections of Module 2, as it bridges the gap between lab-based sciences and data modeling. It provides practical guidance on implementing chemometric tools such as Principal Component Analysis (PCA), Partial Least Squares (PLS), and clustering, which are essential for processing complex datasets like those from spectroscopy or food quality analysis.

classRoomMode

Attendance is strongly recommended

bibliography

N.A.

CHOICE GROUPS YEAR/SEMESTER CFU SSD LANGUAGE
TWO EXAMES AMONG THE FOLLOWING: - 12 - -
119938 - FOREST BIOTECHNOLOGY

ELENA KUZMINSKY

First Year / First Semester 6 AGR/05 ita
120981 - TECHNOLOGICAL INNOVATIONS TO IMPROVE THE QUALITY OF VEGETABLE CROPS

MARIATERESA CARDARELLI

First Year / First Semester 6 AGR/04 ENG
119939 - BIOINFORMATICS

SILVIA TURCO

First Year / Second Semester 6 BIO/11 ita
119940 - ADVANCED TISSUE CULTURE

CRISTIAN SILVESTRI

First Year / Second Semester 6 AGR/03 ita
NEW EXTRA CURRICULAR GROUP - - -
119340 - NANOTECHNOLOGY IN CROP PROTECTION

GIORGIO MARIANO BALESTRA

First Year / First Semester 3 AGR/12 ita
121481 - DATA SCIENCE WITH R

ROBERTO MOSCETTI

First Year / Second Semester 6 AGR/09 ENG