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.

Latest News

Going to AGBT Ag - San Antonio, TX, March 27-29, 2023

Simona ANTONIOS, PhD student in the MG2 team was warded a scholarship to present her work on Partitioning of the genetic trend of dairy sheep in Mendelian samplings at the next AGBT Ag meeting taking place in San Antonio, Texas from March 27 to 29 2023. Congratulations Simona !

Advances in Genome Biology and Technology (AGBT) Agricultural Meeting (AGBT Ag) focus on the integration of genomics and agriculture, AGBT Ag is uniquely positioned to enable and enhance communication among stakeholders in order to address the escalating needs of a changing earth. More information on AGBT Agriculture is available on the website https://www.agbt.org/events/agricultural-meeting-overview/

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 .

Members

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

PhD Students
Manon Dugué
Marc Teissier

Post-docs
Claire Oget

Temporary
Marjorie Chassier

Former Members
Andrés Legarra	Webpage

Contact

Zulma Vitezica

Publications

2023

Bermann M, Aguilar I, Lourenco D, Misztal I, Legarra A. Reliabilities of estimated breeding values in models with metafounders. Genet Sel Evol. 2023;55(1):6. doi:10.1186/s12711-023-00778-2.
Steyn Y, Lawlor T, Masuda Y, et al. Nonparallel genome changes within subpopulations over time contributed to genetic diversity within the US Holstein population. J Dairy Sci. 2023. doi:10.3168/jds.2022-21914.
Garcia A, Aguilar I, Legarra A, Tsuruta S, Misztal I, Lourenco D. Correction: Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP. Genet Sel Evol. 2023;55(1):26. doi:10.1186/s12711-023-00799-x.
Legarra A, Gonzalez-Dieguez DOmar, Charcosset A, Vitezica ZG. Impact of interpopulation distance on dominance variance and average heterosis in hybrid populations within species. Genetics. 2023;224(2). doi:10.1093/genetics/iyad059.

2022

David I, Ricard A, Huynh-Tran V-H, Dekkers JCM, Gilbert H. Quality of breeding value predictions from longitudinal analyses, with application to residual feed intake in pigs. Genet Sel Evol. 2022;54(1):32. doi:10.1186/s12711-022-00722-w.
Rohmer T, Ricard A, David I. Copula miss-specification in REML multivariate genetic animal model estimation. Genet Sel Evol. 2022;54(1):36. doi:10.1186/s12711-022-00729-3.
Bartolomé E, Valera M, Fernández J, Rodríguez-Ramilo STeresa. Effects of Selection on Breed Contribution in the Caballo de Deporte Español. Animals (Basel). 2022;12(13). doi:10.3390/ani12131635.
Teissier M, Brito LF, Schenkel FS, et al. Genetic Characterization and Population Connectedness of North American and European Dairy Goats. Front Genet. 2022;13:862838. doi:10.3389/fgene.2022.862838.
Fang F, Li J, Guo M, et al. Genomic evaluation and genome-wide association studies for total number of teats in a combined American and Danish Yorkshire pig populations selected in China. J Anim Sci. 2022;100(7). doi:10.1093/jas/skac174.
Bermann M, Lourenco D, Forneris NS, Legarra A, Misztal I. On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and Young. Genet Sel Evol. 2022;54(1):52. doi:10.1186/s12711-022-00741-7.