Publications

Found 116 results
Filters: Author is Legarra, Andres  [Clear All Filters]
2022
Legarra A, González-Diéguez D, Vitezica ZG. Computing strategies for multi-population genomic evaluation. Genet Sel Evol. 2022;54(1):10. doi:10.1186/s12711-022-00705-x.
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.
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.
McWhorter TM, Bermann M, Garcia ALS, et al. Implication of the order of blending and tuning when computing the genomic relationship matrix in single-step GBLUP. J Anim Breed Genet. 2022. doi:10.1111/jbg.12734.
2021
Legarra A, Garcia-Baccino CA, Wientjes YCJ, Vitezica ZG. The correlation of substitution effects across populations and generations in the presence of nonadditive functional gene action. Genetics. 2021. doi:10.1093/genetics/iyab138.
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.
Abdollahi-Arpanahi R, Lourenco D, Legarra A, Misztal I. Dissecting genetic trends to understand breeding practices in livestock: a maternal pig line example. Genet Sel Evol. 2021;53(1):89. doi:10.1186/s12711-021-00683-6.
Christensen OF, Börner V, Varona L, Legarra A. Genetic evaluation including intermediate omics features. Genetics. 2021;219(2). doi:10.1093/genetics/iyab130.
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
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.
Macedo FL, Reverter A, Legarra A. Behavior of the Linear Regression method to estimate bias and accuracies with correct and incorrect genetic evaluation models. J Dairy Sci. 2020;103(1):529-544. doi:10.3168/jds.2019-16603.
Macedo FL, Christensen OF, Astruc J-M, Aguilar I, Masuda Y, Legarra A. Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups. Genet Sel Evol. 2020;52(1):47. doi:10.1186/s12711-020-00567-1.
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.
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.
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.
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.
Druet T, Legarra A. Theoretical and empirical comparisons of expected and realized relationships for the X-chromosome. Genet Sel Evol. 2020;52(1):50. doi:10.1186/s12711-020-00570-6.
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.
2019
Fragomeni BO, Lourenco DAL, Legarra A, VanRaden PM, Misztal I. Alternative SNP weighting for single-step genomic best linear unbiased predictor evaluation of stature in US Holsteins in the presence of selected sequence variants. J Dairy Sci. 2019;102(11):10012-10019. doi:10.3168/jds.2019-16262.
Tusell L, Gilbert H, Vitezica ZG, Mercat MJ, Legarra A, Larzul C. Dissecting total genetic variance into additive and dominance components of purebred and crossbred pig traits. Animal. 2019;13(11):2429-2439. doi:10.1017/S1751731119001046.
Aguilar I, Legarra A, Cardoso F, Masuda Y, Lourenco D, Misztal I. Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. Genet Sel Evol. 2019;51(1):28. doi:10.1186/s12711-019-0469-3.
Rodriguez-Ramilo ST, Elsen JM, Legarra A. Inbreeding and effective population size in French dairy sheep: Comparison between genomic and pedigree estimates. J Dairy Sci. 2019;102(5):4227-4237. doi:10.3168/jds.2018-15405.
Bradford HL, Masuda Y, VanRaden PM, Legarra A, Misztal I. Modeling missing pedigree in single-step genomic BLUP. J Dairy Sci. 2019;102(3):2336-2346. doi:10.3168/jds.2018-15434.
2018
Vitezica ZG, Reverter A, Herring W, Legarra A. Dominance and epistatic genetic variances for litter size in pigs using genomic models. Genet Sel Evol. 2018;50(1):71. doi:10.1186/s12711-018-0437-3.
Xiang T, Christensen OFredslund, Vitezica ZGladis, Legarra A. Genomic Model with Correlation Between Additive and Dominance Effects. Genetics. 2018;209(3):711-723. doi:10.1534/genetics.118.301015.

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