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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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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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]
Total Authors: 13
Affiliation:
[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
Total Affiliations: 6
Document type: Journal article
Source: TROPICAL ANIMAL HEALTH AND PRODUCTION; v. 53, n. 4 SEP 2021.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 13/25910-0 - Assessment strategies genotyping in situations of uncertainty of paternity and its impact on the evaluation genomic in beef cattle
Grantee:Rafael Lara Tonussi
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 16/22751-6 - Genomic evaluation in commercial beef cattle population using real and simulated data
Grantee:Fernando Sebastián Baldi Rey
Support Opportunities: Regular Research Grants