Modélisation Génétique et Génomique

MG2 Research Activities

Our research contributes to the development and use of methodologies for genetic and genomic evaluation and prediction, for genetic management of populations, and for the localization and use of major genes and QTLs, all of it in livestock populations.

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Latest News

ARDI Project

GenPhySE participates in the Poctefa project “ARDI" for the joint development of dairy sheep breeds across the Pyrenees, financed by FEDER funds.
More information on the project can be found on the ARDI website .

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Members

Researchers
Jean-Michel Elsen
Andrés Legarra	Webpage
Anne Ricard
Christèle Robert-Granié
Silvia Rodriguez Ramilo
Zulma Vitezica

PhD Students
Manon Dugué
Marc Teissier

Temporary
Marjorie Chassier

Contact

Andrés Legarra

Publications

2021

Garcia-Baccino CAndrea, Marie-Etancelin C, Tortereau F, Marcon D, Weisbecker J-L, Legarra A. Detection of unrecorded environmental challenges in high-frequency recorded traits, and genetic determinism of resilience to challenge, with an application on feed intake in lambs. Genet Sel Evol. 2021;53(1):4. doi:10.1186/s12711-020-00595-x.
Raoul J, Elsen JM. The levels of artificial insemination and missing sire information make genomic selection not always beneficial in meat sheep. Animal. 2021:100040. doi:10.1016/j.animal.2020.100040.
Bermann M, Lourenco D, Breen V, Hawken R, F Lopes B, Misztal I. Modeling genetic differences of combined broiler chicken populations in single-step GBLUP. J Anim Sci. 2021. doi:10.1093/jas/skab056.
González-Diéguez D, Legarra A, Charcosset A, et al. Genomic prediction of hybrid crops allows disentangling dominance and epistasis. Genetics. 2021. doi:10.1093/genetics/iyab026.

2020

Varona L, Legarra A. GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model. Animals (Basel). 2020;10(6). doi:10.3390/ani10061001.
Bermann M, Legarra A, Hollifield MKate, Masuda Y, Lourenco D, Misztal I. Validation of single-step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortality. J Anim Breed Genet. 2020. doi:10.1111/jbg.12507.
Aguilar I, Fernandez EN, Blasco A, Ravagnolo O, Legarra A. Effects of ignoring inbreeding in model-based accuracy for BLUP and SSGBLUP. J Anim Breed Genet. 2020. doi:10.1111/jbg.12470.
Teissier M, Larroque H, Brito LF, Rupp R, Schenkel FS, Robert-Granie C. Genomic predictions based on haplotypes fitted as pseudo-SNP for milk production and udder type traits and SCS in French dairy goats. J Dairy Sci. 2020. doi:10.3168/jds.2020-18662.
Talouarn E, Bardou P, Palhière I, et al. Genome wide association analysis on semen volume and milk yield using different strategies of imputation to whole genome sequence in French dairy goats. BMC Genet. 2020;21(1):19. doi:10.1186/s12863-020-0826-9.
Talouarn E, Teissier M, Bardou P, et al. Using sequence variants of a QTL region improves the accuracy of genomic evaluation in French Saanen goats. J Dairy Sci. 2020. doi:10.3168/jds.2020-18837.

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