Publications

You can also find a list of our publications on HAL

2020

Reverter A, Vitezica ZG, Naval-Sánchez M, et al. Association analysis of loci implied in "buffering" epistasis. J Anim Sci. 2020;98(3). doi:10.1093/jas/skaa045.
González-Diéguez D, Tusell L, Bouquet A, Legarra A, Vitezica ZG. Purebred and Crossbred Genomic Evaluation and Mate Allocation Strategies To Exploit Dominance in Pig Crossbreeding Schemes. G3 (Bethesda). 2020;10(8):2829-2841. doi:10.1534/g3.120.401376.
Le Sciellour M, Zemb O, Serviento A-M, Renaudeau D. Transient effect of single or repeated acute deoxynivalenol and zearalenone dietary challenge on fecal microbiota composition in female finishing pigs. Animal. 2020:1-11. doi:10.1017/S1751731120001299.
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.
Canario L, Bijma P, David I, et al. Prospects for the Analysis and Reduction of Damaging Behaviour in Group-Housed Livestock, With Application to Pig Breeding. Front Genet. 2020;11:611073. doi:10.3389/fgene.2020.611073.
Rauw WM, Rydhmer L, Kyriazakis I, et al. Prospects for sustainability of pig production in relation to climate change and novel feed resources. J Sci Food Agric. 2020. doi:10.1002/jsfa.10338.
Rochus CMarie, Jonas E, Johansson AM. Population structure of five native sheep breeds of Sweden estimated with high density SNP genotypes. BMC Genet. 2020;21(1):27. doi:10.1186/s12863-020-0827-8.
Bazile J, Jaffrézic F, Dehais P, et al. Molecular signatures of muscle growth and composition deciphered by the meta-analysis of age-related public transcriptomics data. Physiol Genomics. 2020;52(8):322-332. doi:10.1152/physiolgenomics.00020.2020.
Klopp C, Cabau C, Lasalle A, Di Landro S, Greif G, Vizziano-Cantonnet D. Multi-tissue Siberian sturgeon RNA sequencing data. Data Brief. 2020;31:105820. doi:10.1016/j.dib.2020.105820.
Debreuque M, De Fornel P, David I, et al. Definitive-intent uniform megavoltage fractioned radiotherapy protocol for presumed canine intracranial gliomas: retrospective analysis of survival and prognostic factors in 38 cases (2013-2019). BMC Vet Res. 2020;16(1):412. doi:10.1186/s12917-020-02614-x.
Schmitt O, Reigner S, Bailly J, et al. Thermoregulation at birth differs between piglets from two genetic lines divergent for residual feed intake. Animal. 2020;15(1):100069. doi:10.1016/j.animal.2020.100069.
Hazard D, Macé T, Kempeneers A, et al. Genetic parameters estimates for ewes' behavioural reactivity towards their litter after lambing. J Anim Breed Genet. 2020. doi:10.1111/jbg.12474.
Granado-Tajada I, Legarra A, Ugarte E. Exploring the inclusion of genomic information and metafounders in Latxa dairy sheep genetic evaluations. J Dairy Sci. 2020;103(7):6346-6353. doi:10.3168/jds.2019-18033.
David I, Aliakbari A, Déru V, Garreau H, Gilbert H, Ricard A. Inclusive inheritance for residual feed intake in pigs and rabbits. J Anim Breed Genet. 2020. doi:10.1111/jbg.12494.
Parey E, Louis A, Cabau C, Guiguen Y, Crollius HRoest, Berthelot C. Synteny-guided resolution of gene trees clarifies the functional impact of whole genome duplications. Mol Biol Evol. 2020. doi:10.1093/molbev/msaa149.
Feng S, Stiller J, Deng Y, et al. Dense sampling of bird diversity increases power of comparative genomics. Nature. 2020;587(7833):252-257. doi:10.1038/s41586-020-2873-9.
Zemb O, Achard CS, Hamelin J, et al. Absolute quantitation of microbes using 16S rRNA gene metabarcoding: A rapid normalization of relative abundances by quantitative PCR targeting a 16S rRNA gene spike-in standard. Microbiologyopen. 2020;9(3):e977. doi:10.1002/mbo3.977.
Lerch S, De La Torre A, Huau C, et al. Estimation of dairy goat body composition: A direct calibration and comparison of eight methods. Methods. 2020. doi:10.1016/j.ymeth.2020.06.014.
Sánchez JP, Legarra A, Velasco-Galilea M, et al. Genome-wide association study for feed efficiency in collective cage-raised rabbits under full and restricted feeding. Anim Genet. 2020;51(5):799-810. doi:10.1111/age.12988.
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.
Lefort G, Servien R, Quesnel H, et al. The maturity in fetal pigs using a multi-fluid metabolomic approach. Sci Rep. 2020;10(1):19912. doi:10.1038/s41598-020-76709-8.
Lo B, Marty-Gasset N, Manse H, et al. Cellular markers of mule duck livers after force-feeding. Poult Sci. 2020;99(7):3567-3573. doi:10.1016/j.psj.2020.03.048.
Nikolic N, Thompson P, de Bruyn M, Macé M, Chevalet C. Evolutionary history of a Scottish harbour seal population. PeerJ. 2020;8:e9167. doi:10.7717/peerj.9167.
Paës C, Gidenne T, Bébin K, et al. Early Introduction of Solid Feeds: Ingestion Level Matters More Than Prebiotic Supplementation for Shaping Gut Microbiota. Front Vet Sci. 2020;7:261. doi:10.3389/fvets.2020.00261.
Racine C, Genet C, Bourgneuf C, et al. New anti-Müllerian hormone target genes involved in granulosa cell survival in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2020. doi:10.1210/clinem/dgaa879.
Penadés M, Arnau-Bonachera A, Selva L, et al. Early deviations in performance, metabolic and immunological indicators affect stayability in rabbit females. Animal. 2020;14(4):780-789. doi:10.1017/S1751731119002489.
Alassane-Kpembi I, Canlet C, Tremblay-Franco M, et al. H-NMR metabolomics response to a realistic diet contamination with the mycotoxin deoxynivalenol: Effect of probiotics supplementation. Food Chem Toxicol. 2020;138:111222. doi:10.1016/j.fct.2020.111222.
Lourenco D, Legarra A, Tsuruta S, Masuda Y, Aguilar I, Misztal I. Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90. Genes (Basel). 2020;11(7). doi:10.3390/genes11070790.
Salem E, Dhanasekaran V, Cassard H, et al. Global Transmission, Spatial Segregation, and Recombination Determine the Long-Term Evolution and Epidemiology of Bovine Coronaviruses. Viruses. 2020;12(5). doi:10.3390/v12050534.
Klopp C, Cabau C, Greif G, Lasalle A, Di Landro S, Vizziano-Cantonnet D. Siberian sturgeon multi-tissue reference transcriptome database. Database (Oxford). 2020;2020. doi:10.1093/database/baaa082.

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