Publications

Found 1376 results
2023
Parejo M, Talenti A, Richardson M, Vignal A, Barnett M, Wragg D. AmelHap: Leveraging drone whole-genome sequence data to create a honey bee HapMap. Sci Data. 2023;10(1):198. doi:10.1038/s41597-023-02097-z.
Talebi R, Ghaffari MReza, Fabre S, Mardi M, Alamouti MKazemi. Comparison of the growth performance between pure Moghani sheep and crosses with Texel or Booroola sheep carrying major genes contributing to muscularity and prolificacy. Anim Biotechnol. 2023:1-12. doi:10.1080/10495398.2023.2165933.
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.
Mussard E, Lencina C, Boudry G, et al. Culture of Piglet Intestinal 3D Organoids from Cryopreserved Epithelial Crypts and Establishment of Cell Monolayers. J Vis Exp. 2023;(192). doi:10.3791/64917.
Meynadier A, Marie-Etancelin C, Palevich N. Editorial: Host genome and metagenome interactions for improved ruminant health and performance. Front Microbiol. 2023;14:1160074. doi:10.3389/fmicb.2023.1160074.
Fetiveau M, Savietto D, Fillon V, Bannelier C, Pujol S, Fortun-Lamothe L. Effect of outdoor grazing-area access time and enrichment on space and pasture use, behaviour, health and growth traits of weaned rabbits. Animal. 2023;17(3):100724. doi:10.1016/j.animal.2023.100724.
Hoellinger T, Mestre C, Aschard H, et al. Enhancer/gene relationships: Need for more reliable genome-wide reference sets. Front Bioinform. 2023;3:1092853. doi:10.3389/fbinf.2023.1092853.
Cisse S, Bahut M, Marais C, et al. Fine characterization and microbiota assessment as keys to understanding the positive effect of standardized natural citrus extract on broiler chickens. J Anim Sci. 2023;101. doi:10.1093/jas/skad069.
Parey E, Louis A, Montfort J, et al. Genome structures resolve the early diversification of teleost fishes. Science. 2023;379(6632):572-575. doi:10.1126/science.abq4257.
Gmel AImogen, Guichard M, Dainat B, et al. Identification of runs of homozygosity in Western honey bees () using whole-genome sequencing data. Ecol Evol. 2023;13(1):e9723. doi:10.1002/ece3.9723.
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.
Boggio GMartinez, Marie-Etancelin C, Menras J-M, et al. A large database linking the rumen bacterial composition and milk traits in Lacaune sheep. Sci Data. 2023;10(1):17. doi:10.1038/s41597-022-01912-3.
Ben Abdelkrim A, Ithurbide M, Larsen T, Schmidely P, Friggens NC. Milk metabolites can characterise individual differences in animal resilience to a nutritional challenge in lactating dairy goats. Animal. 2023;17(4):100727. doi:10.1016/j.animal.2023.100727.
Fouikar SEl, Duranthon V, Helies V, et al. Multigenerational Effects of a Complex Human-Relevant Exposure during Folliculogenesis and Preimplantation Embryo Development: The FEDEXPO Study. Toxics. 2023;11(5). doi:10.3390/toxics11050425.
Ithurbide M, Wang H, Fassier T, et al. Multivariate analysis of milk metabolite measures shows potential for deriving new resilience phenotypes. J Dairy Sci. 2023. doi:10.3168/jds.2023-23332.
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.
Guerbette T, Beaumont M, Andriamihaja M, et al. Obesogenic diet leads to luminal overproduction of the complex IV inhibitor H S and mitochondrial dysfunction in mouse colonocytes. FASEB J. 2023;37(4):e22853. doi:10.1096/fj.202201971R.
Macé T, González-García E, Kövér G, Hazard D, Taghipoor M. PhenoBR: a model to phenotype body condition dynamics in meat sheep. Animal. 2023;17(6):100845. doi:10.1016/j.animal.2023.100845.
Liaubet L, Guilmineau C, Lefort G, et al. Plasma H-NMR metabolic and amino acid profiles of newborn piglets from two lines divergently selected for residual feed intake. Sci Rep. 2023;13(1):7127. doi:10.1038/s41598-023-34279-5.
Le Graverand Q, Marie-Etancelin C, Meynadier A, Weisbecker J-L, Marcon D, Tortereau F. Predicting feed efficiency traits in growing lambs from their ruminal microbiota. Animal. 2023;17(6):100824. doi:10.1016/j.animal.2023.100824.
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.
Herry F, Hérault F, Lecerf F, et al. Restriction site-associated DNA sequencing technologies as an alternative to low-density SNP chips for genomic selection: a simulation study in layer chickens. BMC Genomics. 2023;24(1):271. doi:10.1186/s12864-023-09321-5.
Hewett AM, Stoffel MA, Peters L, Johnston SE, Pemberton JM. Selection, recombination and population history effects on runs of homozygosity (ROH) in wild red deer (Cervus elaphus). Heredity (Edinb). 2023. doi:10.1038/s41437-023-00602-z.
Boitard S, Liaubet L, Paris C, et al. Whole-genome sequencing of cryopreserved resources from French Large White pigs at two distinct sampling times reveals strong signatures of convergent and divergent selection between the dam and sire lines. Genet Sel Evol. 2023;55(1):13. doi:10.1186/s12711-023-00789-z.
2022
Mollandin F, Gilbert H, Croiseau P, Rau A. Accounting for overlapping annotations in genomic prediction models of complex traits. BMC Bioinformatics. 2022;23(1):365. doi:10.1186/s12859-022-04914-5.

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