J
Jean-Louis Foulley
Researcher at Institut national de la recherche agronomique
Publications - 95
Citations - 4130
Jean-Louis Foulley is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Mixed model & Linear model. The author has an hindex of 34, co-authored 95 publications receiving 3978 citations. Previous affiliations of Jean-Louis Foulley include University of Montpellier & University of Illinois at Urbana–Champaign.
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Sire evaluation for ordered categorical data with a threshold model
TL;DR: A method of evaluation of ordered categorical responses is presented, where the probability of response in a given category follows a normal integral with an argument dependent on fixed thresholds and random variables sampled from a conceptual distribution with known first and second moments.
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Genetic diversity of eleven European pig breeds
Guillaume Laval,Nathalie Iannuccelli,C. Legault,Denis Milan,Martien A. M. Groenen,Elisabetta Giuffra,Leif Andersson,Peter Nissen,Claus Jørgensen,P. Beeckmann,Hermann Geldermann,Jean-Louis Foulley,Claude Chevalet,L. Ollivier +13 more
TL;DR: This study indicates that using genetic distances between breeds of farm animals in a classical taxonomic approach may not give clear resolution, but points to their usefulness in a prospective evaluation of diversity.
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The Genome Response to Artificial Selection: A Case Study in Dairy Cattle
Laurence Flori,Sébastien Fritz,Florence Jaffrézic,Mekki Boussaha,Ivo Gut,Simon Heath,Jean-Louis Foulley,Mathieu Gautier +7 more
TL;DR: A comprehensive network analysis was performed which suggested a central role of somatotropic and gonadotropic axes in the response to selection, at the genome level, and shed light on the antagonism between milk production and reproduction traits in highly producing dairy cows.
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A whole genome Bayesian scan for adaptive genetic divergence in West African cattle
Mathieu Gautier,Laurence Flori,Andrea Riebler,Florence Jaffrézic,Denis Laloë,Ivo Gut,Katayoun Moazami-Goudarzi,Jean-Louis Foulley +7 more
TL;DR: The main possible underlying selective pressures may be related to climatic conditions but also to the host response to pathogens such as Trypanosoma(sp).
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Computing Aspects of a Nonlinear Method of Sire Evaluation for Categorical Data
TL;DR: A modification of Jacobi iteration "on data" is presented that does not require setting up the system of equations explicitly and was fastest when only a single round of modified Jacobi was performed for each Newton-Raphson round.