Since 2023 I am Senior Geneticist for CDCB working in genetic evaluation os US dairy cattle. I am also Adjunct (which means no salary and no major duties) Assistant Professor in Animal Genetics and Genomics, University of Georgia.
My work is related to quantitative genetics and genetic evaluation of livestock. E-mail me at andres dot legarra at uscdcb dot com .
I did my PhD in Neiker with Eva Ugarte and I did a postdoc at the Animal and Dairy Science Department at the University of Georgia, with Ignacy Misztal and Keith Bertrand. For 17 years I have been Research Director at INRA Toulouse in the GenPhySE unit, at the Animal Genetics department. I am now on unpaid leave.
This is my new, non-fancy web page created with markdown and MacDown then with the (sadly dead) atom and now Visual Studio Code. I should use vim which is immuable.
You can find in this page links to
I have developed my own programs
and helped in others’ people programs:
This is a course that is taught every two years at UGA, with materials of the 2018 edition . I often teach a part of it. Some materials that we have constructed for this course include notes Bases for Genomic Prediction in pdf , in epub , and in single-file html (but without the Appendix) formats.
Fundamentos matematicos de la prediccion de valores de cria. Francisco Javier Mendizábal Múgica. 1994
Notas de la asignatura Mejora Genética Animal. Escuela Técnica Superior de Ingenieros Agrónomos, UPNA. Pamplona-Iruña, 1994.
https://github.com/alegarra/Fundamentos/blob/main/capitulo_all.pdf
In our POCTEFA grant that what called Genomia, we wrote a document with the state of the art of dairy sheep selection across the Pyrenees. You can find it here.
Our paper in metafounders’ theory contained source code that is lost from the new Genetics site. You cand found this source code here.
I have written a tutorial, here on the use of metafounders to analyse crossbred data with the blupf90 wiki suite using SSGBLUP. The tutorial is conceived for 3-way crosses but the ideas inside can be used (easily) for 2- or 4-way crosses or (a bit more difficult) for complex crosses like in sheep. This work has been financed by Smarter.
Similarly, another tutorial here explains the use of method LR to analyze bias and accuracies of evaluation (including genomic prediction). This work has been financed by Smarter.
Really nothing very sophisticated.
Taught by Miguel Angel Toro, Universidad Politecnica de Madrid at GenPhySE, INRA Toulouse March 14-17, 2017. Slides are here.
Taught by Toni Reverter, CSIRO Agriculture and Food, Brisbane, Australia at GenPhySE, INRA Toulouse, Nov 19-23, 2018. All slides are here.
and, in English: