Accuracy of genomic breeding values and predictive... - BV FAPESP
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Accuracy of genomic breeding values and predictive ability for postweaning liveweight and age at first calving in a Nellore cattle population with missing sire information

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Autor(es):
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Tonussi, Rafael Lara [1] ; Londono-Gil, Marisol [1] ; de Oliveira Silva, Rafael Medeiros [2] ; Braga Magalhaes, Ana Fabricia [1] ; Amorim, Sabrina Thaise [1] ; Kluska, Sabrina [1] ; Espigolan, Rafael [1] ; Peripolli, Elisa [1] ; Cravo Pereira, Angelica Simone [3] ; Lobo, Raysildo Barbosa [4] ; Aguilar, Ignacio [5] ; Lino Lourenco, Daniela Andressa [6] ; Baldi, Fernando [1]
Número total de Autores: 13
Afiliação do(s) autor(es):
[1] Univ Estadual Paulista, Fac Ciencias Agr & Vet, Grp Melhoramento Anim, BR-14884900 Jaboticabal, SP - Brazil
[2] Zoetis, Kalamazoo, MI 49007 - USA
[3] Univ Sao Paulo, Fac Med Vet & Zootecnia, BR-13635900 Pirassununga, SP - Brazil
[4] Assoc Nacl Criadores & Pesquisadores ANCP, BR-14020230 Ribeirao Preto, SP - Brazil
[5] Inst Nacl Pesquisa Agr INIA, Las Brujas 90200 - Uruguay
[6] Univ Georgia, Athens, GA 30602 - USA
Número total de Afiliações: 6
Tipo de documento: Artigo Científico
Fonte: TROPICAL ANIMAL HEALTH AND PRODUCTION; v. 53, n. 4 SEP 2021.
Citações Web of Science: 0
Resumo

The multiple sire system (MSS) is a common mating scheme in extensive beef production systems. However, MSS does not allow paternity identification and lead to inaccurate genetic predictions. The objective of this study was to investigate the implementation of single-step genomic BLUP (ssGBLUP) in different scenarios of uncertain paternity in the evaluation for 450-day adjusted liveweight (W450) and age at first calving (AFC) in a Nellore cattle population. To estimate the variance components using BLUP and ssGBLUP, the relationship matrix (A) with different proportions of animals with missing sires (MS) (scenarios 0, 25, 50, 75, and 100% of MS) was created. The genotyped animals with MS were randomly chosen, and ten replicates were performed for each scenario and trait. Five groups of animals were evaluated in each scenario: PHE, all animals with phenotypic records in the population; SIR, proven sires; GEN, genotyped animals; YNG, young animals without phenotypes and progeny; and YNGEN, young genotyped animals. The additive genetic variance decreased for both traits as the proportion of MS increased in the population when using the regular REML. When using the ssGBLUP, accuracies ranged from 0.13 to 0.47 for W450 and from 0.10 to 0.25 for AFC. For both traits, the prediction ability of the direct genomic value (DGV) decreased as the percentage of MS increased. These results emphasize that indirect prediction via DGV of young animals is more accurate when the SNP effects are derived from ssGBLUP with a reference population with known sires. The ssGBLUP could be applied in situations of uncertain paternity, especially when selecting young animals. This methodology is shown to be accurate, mainly in scenarios with a high percentage of MS. (AU)

Processo FAPESP: 13/25910-0 - Avaliação de estratégias de genotipagem em situações de incerteza de paternidade e seu impacto sobre as avaliações genômicas em bovinos de corte
Beneficiário:Rafael Lara Tonussi
Modalidade de apoio: Bolsas no Brasil - Doutorado
Processo FAPESP: 16/22751-6 - Avaliação genômica em populações comerciais de bovinos de corte utilizando dados reais e simulados
Beneficiário:Fernando Sebastián Baldi Rey
Modalidade de apoio: Auxílio à Pesquisa - Regular