Peer-reviewed publications

Scientific publications peer-reviewed

2020

  • Genetic and nongenetic factors associated with the fate of maiden ewe lambs: slaughtered without ever lambing versus retained for breeding. Mchugh, T. Pabiou, K. Mcdermott, E. Wall, D. P. Berry. Translational Animal Science, Volume 4, Issue 1, January 2020, 242-249. https://doi.org/10.1093/tas/txz156
  • Exploring the inclusion of genomic information and metafounders in Latxa dairy sheep genetic evaluations. I. Granado-Tajada, Legarra and E. Ugarte. Journal of Dairy Science, Vol. 103, n. 7, 2020. https://doi.org/10.3168/jds.2019-18033
  • Methods to compute genomic inbreeding for ungenotyped individuals. A. Legarra, I. Aguillar, J.J. Colleau. Journal of Dairy Science, 2020. (embargo period)
  • Population structure and breed composition prediction in a multi-breed sheep population using genome-wide single nucleotide polymorphism genotypes. C.O’Brien, D. C. Purfield, M. M. Judge, C. Long, S. Fair, D. P. Berry. Animal, Volume 14, Issue 3, March 2020, pp. 464-474. (embargo period)
  • Considerable potential exists to improve lambing performance traits in sheep through breeding. McHugh, T. Pabiou, E. Wall, K. McDermott, D. P. Berry. Livestock Science, Volume 235, May 2020. (embargo period)

2019

  • Behavior of the Linear Regression method to estimate bias and accuracies with correct and incorrect genetic evaluation models. L. Macedo, A. Reverter, and A. Legarra. Journal of Dairy Science, 2019. https://doi.org/10.3168/jds.2019-16603
  • Inbreeding and effective population size in French dairy sheep: Comparison between genomic and pedigree estimates. T. Rodríguez-Ramilo, J. M. Elsen, and A. Legarra. Journal of Dairy Science, May 2019, Volume 102, Issue 5, Pages 4227–4237. https://doi.org/10.3168/jds.2018-15405 (open archive)
  • Genetic and genomic studies in ovine mastitis. Oget, G. Tosser-Klopp, R. Rupp. Small Ruminants Research, Elsevier. Vol. 176, July 2019, Pages 55-64. https://doi.org/10.1016/j.smallrumres.2019.05.011

2018

  • Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method. Legarra, A. Reverter. Genetics Selection Evolution, 50, Article number: 53 (2018). https://doi.org/10.1186/s12711-018-0426-6