Fecha/hora: 16/06/2024 05:14:23

Biblioteca(s): | INIA Las Brujas.
Fecha corriente: | 27/07/2022
Fecha de la última actualización: | 27/02/2023
Autoria: | MISZTAL, I.; LOURENCO, D.; TSURUTA, S.; AGUILAR, I.; MASUDA, Y.; BERMANN, M.; CESARANI, A.; LEGARRA, A.
Afiliación: | I. MISZTAL, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; D. LOURENCO, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; S. TSURUTA, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Y. MASUDA, Rakuno Gakuen University, 069-8501, Ebetsu, Hokkaido, Japan; M. BERMANN, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; A. CESARANI, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; A. LEGARRA, Institut national de recherche pour l'agriculture, l'alimentation et l'environnement, UMR1388 GenPhySE, 31326, Castanet Tolosan, France.
Título: | How ssGBLUP became suitable for national dairy cattle evaluations. [668].
Complemento del título: | Part 37 - Bovine dairy - genetic evaluation methods.
Año de publicación: | 2022
Fuente/Imprenta: | In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_668
Páginas: | 2757-2760.
DOI: | 10.3920/978-90-8686-940-4_668
Idioma: | Inglés
Notas: | Article history: Published online: February 9, 2023 -- Corresponding author: I. Misztal, email: ignacy@uga.edu
Contenido: | ABSTRACT.- National dairy evaluations use mostly multistep methods, where a nongenomic BLUP evaluation is followed by extraction of pseudo-phenotypes, genomic analyses, and merging nongenomic and genomic evaluations. With genomic preselection and many females genotyped, pseudo-phenotypes are biased, and it is hard to accommodate female genotypes fully. Such problems were successfully solved in other species by ssGBLUP, but large biases and expensive computing were experienced in dairy. This paper documents several improvements that made ssGBLUP feasible for national dairy evaluations.
Palabras-Clave: | BLUP (BEST LINEAR UNBIASED PREDICTION); GENOTYPES.
Categoría del tema: | L10 Genética y mejoramiento animal

URL:

http://www.ainfo.inia.uy/digital/bitstream/item/17001/1/978-90-8686-940-4-668.pdf
https://www.wageningenacademic.com/doi/epdf/10.3920/978-90-8686-940-4_668

Registro original: | INIA Las Brujas (LB)
Ejemplares: | LB - (103153-1) - PXI - PC - DD - WCGALP/12/2022 -  -  - DIS