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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Variance of gametic diversity and its application in selection programs

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Autor(es):
Santos, D. J. A. [1, 2] ; Cole, J. B. [3] ; Lawlor Jr, T. J. ; VanRaden, P. M. [3] ; Tonhati, H. [2] ; Ma, L. [1]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Univ Maryland, Dept Anim & Avian Sci, College Pk, MD 20742 - USA
[2] Univ Estadual Paulista, Dept Zootecinia, BR-14884900 Jaboticabal - Brazil
[3] USDA, Henry A Wallace Beltsville Agr Res Ctr, Anim Genom & Improvement Lab, ARS, Beltsville, MD 20705 - USA
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF DAIRY SCIENCE; v. 102, n. 6, p. 5279-5294, JUN 2019.
Citações Web of Science: 0
Resumo

The variance of gametic diversity (sigma(2)(gamete)) can be used to find individuals that more likely produce progeny with extreme breeding values. The aim of this study was to obtain this variance for individuals from routine genomic evaluations, and to apply gametic variance in a selection criterion in conjunction with breeding values to improve genetic progress. An analytical approach was developed to estimate sigma(2)(gamete) by the sum of binomial variances of all individual quantitative trait loci across the genome. Simulation was used to verify the predictability of this variance in a range of scenarios. The accuracy of prediction ranged from 0.49 to 0.85, depending on the scenario and model used. Compared with sequence data, SNP data are sufficient for estimating sigma(2)(gamete). Results also suggested that markers with low minor allele frequency and the covariance between markers should be included in the estimation. To incorporate sigma(2)(gamete) into selective breeding programs, we proposed a new index, relative predicted transmitting ability, which better utilizes the genetic potential of individuals than traditional predicted transmitting ability. Simulation with a small genome showed an additional genetic gain of up to 16% in 10 generations, depending on the number of quantitative trait loci and selection intensity. Finally, we applied sigma(2)(gamete) to the US genomic evaluations for Holstein and Jersey cattle. As expected, the DGAT1 gene had a strong effect on the estimation of sigma(2)(gamete) for several production traits. However, inbreeding had a small impact on gametic variability, with greater effect for more polygenic traits. In conclusion, gametic variance, a potentially important parameter for selection programs, can be easily computed and is useful for improving genetic progress and controlling genetic diversity. (AU)

Processo FAPESP: 17/00462-5 - Homologia genômica entre bovinos e búfalos e comparação de diferentes algoritmos de máquinas de aprendizagem para a imputação de genótipos no genoma bubalino
Beneficiário:Daniel Jordan de Abreu Santos
Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
Processo FAPESP: 15/12396-1 - Imputação de genótipos de marcadores no genoma bubalino e seu impacto nas avaliações genômicas da produção de leite e seus constituintes
Beneficiário:Daniel Jordan de Abreu Santos
Linha de fomento: Bolsas no Brasil - Pós-Doutorado