Browse by theme

Select a theme to expand it, then open the sections inside.

1Multi-omics

Genomics, statistical genetics, transcriptomics, proteomics, metabolomics, microbiomics, and bioinformatics pipelines for livestock.

🧬Molecular Genomics lecture seriesTen lectures taking genomic data from the SNP chip to genomic selection, with derivations, worked examples and exercises. Adapted from the Introduction to Genomics series by Gabor Meszaros, whose recording accompanies each lecture.10 lectures
1DNA, genes, genomes and markersThe structure of DNA and what it had to explain, genes and genomes, the omics layers, and why molecular markers work as proxies for genes. 2SNP chipsHow genotypes are produced: the BeadArray, single base extension, cluster plots and calling, allele coding, chip densities and ascertainment bias. 3Genomic maps and recombinationPhysical distance in base pairs against genetic distance in Morgans, the one centiMorgan per megabase rule, crossing over and the odd-number rule. 4Haplotypes and imputationWhy unphased genotypes are ambiguous, how phasing resolves them, and how low-density genotypes are imputed up to high density. 5Linkage disequilibriumThe disequilibrium coefficient D, the scaled measure D-prime, LD as a squared correlation, decay with distance and the link to effective population size. 6Genome-wide association studiesSingle-marker regression, the multiple testing problem, Bonferroni and false discovery rate, and confounding by population structure. 7Genomic admixtureEstimating ancestry proportions from SNP data, validating against pedigree, and building cheap ancestry informative marker panels with F-ST. 8Selection signaturesGenetic hitchhiking, hard and soft sweeps, within- and between-population detection, and why demography and recombination rate mimic selection. 9Genomic inbreeding and runs of homozygosityIdentity by descent against identity by state, F-ROH, segment length as a clock for time to common ancestor, ROH islands and homozygosity mapping. 10Genomic selectionWhy marker assisted selection failed, using all markers without significance testing, genetic gain and generation interval, GBLUP and single-step evaluation.
Featured course

AI-Driven Variant Discovery & Genomic Prediction

A self-paced course on how AI finds impactful DNA variants, from sequence conservation to protein language models, and uses them to sharpen genomic prediction and guide genome editing.

★ Self-paced · 🎓 MSc / advanced

Start the course →
Featured course

Genomics, Systems Biology & Bioinformatics

Molecular data integration and computational modeling: sequencing and omics technologies, GWAS and fine-mapping, multi-omics and eQTL, gene networks, and high-dimensional methods in R. By Peter Sørensen (Aarhus University).

★ Self-paced · 🎓 MSc / advanced · 🔗 External site

Start the course →
📚 Reading list & key resources
  • Genomics Boot Camp, the book

    Gabor Meszaros' open-access companion to the practical track: SNP file handling, PLINK, quality control and population structure, worked end to end.

  • Genomics Boot Camp on YouTube

    Video walkthroughs for every chapter of the book, plus the ten-part Introduction to Genomics theory series used in our Molecular Genomics course.

  • PLINK 1.9

    The standard toolset for whole-genome SNP analysis. Documentation doubles as a reference for file formats and quality-control conventions.

  • Lecture notes in population genetics (Holsinger) salvaged

    Kent Holsinger's full course notes, from Hardy-Weinberg through coalescent theory. Open access, regularly revised, mathematically careful.

  • Population genetics notes (Coop lab)

    Graham Coop's open notes, strong on drift, selection and the coalescent, with the derivations written out rather than asserted.

  • Animal QTLdb salvaged

    Curated database of QTL and association results across livestock species. The first place to check whether a GWAS signal has been reported before.

  • Ensembl

    Genome browser and annotation for all the major livestock species. Needed for turning a genomic position into a gene.

  • NCBI

    Sequence archives, PubMed and the reference assemblies underlying most of the above.

  • Genetics Selection Evolution salvaged

    Fully open-access journal, the main venue for quantitative and genomic methods in animal breeding.

  • Classic papers in genetics salvaged

    Peters' anthology of the founding papers, freely readable. Useful for seeing how the arguments were originally made.

Entries marked salvaged were rescued from the ABG-Hub, an animal breeding and genetics link collection maintained by Gabor Meszaros until it went offline. Dead links have been removed and relocated resources traced to their current addresses. All links were verified before publication; tell us if one breaks.

📊 Teaching materials & slides

Lecture slide decks, regional case studies and downloadable teaching materials co-developed by the partners will be shared here under an open-access licence.

2Digitalization and phenomics

Precision livestock farming, sensor technologies, and AI and machine-learning applications in animal production systems.

Featured course

AI & Computer Vision in Animal Breeding

A self-paced short course: big data, machine learning, image processing, deep learning and high-throughput phenotyping, with two hands-on Python labs.

★ Self-paced · 🎓 MSc level · 🧪 2 labs

Start the course →
📚 Reading list & key resources
  • The Elements of Statistical Learning salvaged

    Hastie, Tibshirani and Friedman, free from the authors. The reference text behind most machine-learning methods now used on phenotype data.

  • R for Data Science

    Free online book covering the data-wrangling and visualisation workflow that precedes any modelling.

  • Advanced R

    For the point where scripts become tools: functions, environments, performance and debugging.

  • Statistical Rethinking

    McElreath's course and lecture videos. A readable route into Bayesian modelling for people who learned statistics as recipes.

  • MIT OpenCourseWare, Linear Algebra 18.06 salvaged

    Strang's full lecture course. Nearly every method in genomic prediction and phenomics is linear algebra underneath.

  • Numerical Recipes salvaged

    Reference for the numerical methods that sit under statistical software, useful when an algorithm misbehaves.

  • VideoLectures.NET salvaged

    Archive of recorded conference and summer-school lectures in machine learning and statistics.

Entries marked salvaged were rescued from the ABG-Hub, an animal breeding and genetics link collection maintained by Gabor Meszaros until it went offline. Dead links have been removed and relocated resources traced to their current addresses. All links were verified before publication; tell us if one breaks.

📊 Teaching materials & slides

Lecture slide decks, regional case studies and downloadable teaching materials co-developed by the partners will be shared here under an open-access licence.

3Nutrition and feed systems

Sustainable, climate-smart feeding strategies and feed efficiency adapted to East African production environments.

🎓 Recommended FAO e-learning Academy courses

Free, certified courses selected together with the FAO e-learning Academy team to complement this theme. Open access via the Academy.

Climate-smart livestock production Introductory

A broad introduction to sustainable, climate-smart livestock systems and adaptation and mitigation along the supply chain.

The role of livestock in circular bioeconomy systems

Introduces circularity, resource efficiency and environmental sustainability in animal production; a cross-cutting topic for MSc students and researchers.

📚 Reading list & key resources

Entries marked salvaged were rescued from the ABG-Hub, an animal breeding and genetics link collection maintained by Gabor Meszaros until it went offline. Dead links have been removed and relocated resources traced to their current addresses. All links were verified before publication; tell us if one breaks.

📊 Teaching materials & slides

Lecture slide decks, regional case studies and downloadable teaching materials co-developed by the partners will be shared here under an open-access licence.

4One Health

The interface of animal, human and environmental health within the ISAPS curriculum.

🎓 Recommended FAO e-learning Academy courses

Free, certified courses selected together with the FAO e-learning Academy team to complement this theme. Open access via the Academy.

Understanding antimicrobial resistance in food and agriculture Flagship

Flagship One Health course on AMR, a major priority across animal production, veterinary science and public health. Suitable for virtually all students.

Raising awareness on the responsible use of antibiotics in livestock

A practical, livestock-focused companion to the AMR course, useful for veterinary and animal-science students.

FAO Progressive Management Pathway for Antimicrobial Resistance Advanced

More specialised and policy-oriented; well suited to graduate students and professionals working on national AMR strategies.

Introduction to Foot-and-Mouth Disease Optional

An optional, more disease-specific technical course for those wanting depth on a major transboundary animal disease.

📚 Reading list & key resources

Entries marked salvaged were rescued from the ABG-Hub, an animal breeding and genetics link collection maintained by Gabor Meszaros until it went offline. Dead links have been removed and relocated resources traced to their current addresses. All links were verified before publication; tell us if one breaks.

📊 Teaching materials & slides

Lecture slide decks, regional case studies and downloadable teaching materials co-developed by the partners will be shared here under an open-access licence.

5Biodiversity and Breeding programs

Biodiversity, breeding programmes, climate resilience, value chains, socio-economics and greenhouse-gas mitigation.

The courses in this theme are shelved in three groups. Open a group to see its courses.

🧬Genetics foundationsHow inheritance and genetic variation work, the starting point of the breeding track.3 courses · 7 lectures
🎓Quantitative Genetics lecture seriesSeven detailed lectures with derivations and worked exercises, by Grum Gebreyesus. Not self-paced courses: these are the lecture chapters themselves.7 lectures
Foundational course

Foundations of Animal Genetics

The entry point to the breeding track: cells and chromosomes, mitosis and meiosis, Mendelian inheritance, gene interactions and epistasis. Developed from the materials of Hulunim Gatew Tariku (Debre Berhan University).

★ Self-paced · 🎓 BSc / early MSc · 🧬 Foundational

Start the course →
Featured course

Quantitative Genetics

Means and variances, additive and dominance components, heritability and response to selection, with R material. A separate course from Quantitative & Population Genetics below. By Peter Sørensen (Aarhus University).

★ Self-paced · 🎓 MSc / advanced · 🔗 External site

Start the course →
Featured course

Quantitative & Population Genetics

Foundations of genetic variation and quantitative trait analysis: Hardy–Weinberg, drift, selection, linkage disequilibrium, heritability and the breeder's equation, with R tutorials. By Peter Sørensen (Aarhus University).

★ Self-paced · 🎓 MSc / advanced · 🔗 External site

Start the course →
📈Selection & breeding programmesTurning genetic variation into genetic gain through selection, BLUP and genomic prediction.3 courses
Foundational course

Applied Animal Breeding

The breeder’s toolkit: traits and variation, heritability and repeatability, the breeder’s equation, breeding-value estimation and BLUP, and mating systems including inbreeding, with worked examples. From the materials of Hulunim Gatew Tariku (Debre Berhan University).

★ Self-paced · 🎓 MSc level · 🧮 Worked examples

Start the course →
Featured course

Breeding and Genetics

The quantitative-genetics foundations of breeding: heritability, breeding values (BLUP) and genomic prediction (GBLUP), with hands-on R practicals. By Peter Sørensen (Aarhus University, CC0).

★ Self-paced · 🎓 MSc / advanced · 📊 R

Start the course →
Featured course

Breeding programs with Genomic selection

A self-paced course on genomic selection: SNP chips, genomic breeding values, the accuracy equation, breeding-program design and managing genetic diversity.

★ Self-paced · 🎓 MSc / advanced

Start the course →
🧫Reproductive technologiesHow superior genetics are multiplied and delivered to the herd.1 course
Foundational course

Animal Reproduction and Reproductive Biotechnology

How genetic gain reaches the herd: reproductive anatomy and hormones, the estrous cycle and gestation, artificial insemination and semen technology, estrus synchronisation and embryo transfer. From the materials of Hulunim Gatew Tariku (Debre Berhan University).

★ Self-paced · 🎓 MSc level · 🧬 Biotech focus

Start the course →

🎓 Recommended FAO e-learning Academy courses

Free, certified courses selected together with the FAO e-learning Academy team to complement this theme. Open access via the Academy.

Assessment of ecosystem services in livestock agroecosystems

Explores the links between livestock production, biodiversity and ecosystem services; especially relevant to farm animal genetic resources and sustainable land management.

📚 Reading list & key resources

Entries marked salvaged were rescued from the ABG-Hub, an animal breeding and genetics link collection maintained by Gabor Meszaros until it went offline. Dead links have been removed and relocated resources traced to their current addresses. All links were verified before publication; tell us if one breaks.

📊 Teaching materials & slides

Lecture slide decks, regional case studies and downloadable teaching materials co-developed by the partners will be shared here under an open-access licence.

Browse by partner collection

Complete, externally authored learning resources that our collaborators have made openly available.

Ministry of Foreign Affairs of Denmark Danida Fellowship Centre
The project is funded by the Ministry of Foreign Affairs of Denmark and managed by Danida Fellowship Centre.
DANIDA Knowledge and Innovation Programme (KIP) 2025.