skip to main content
Idioma:
Primo Advanced Search
Primo Advanced Search Query Term
Primo Advanced Search prefilters
Busca Simples

Estimation of breeding values using different densities of SNP to inform kinship in broiler chickens

Salvian, Mayara ; Moreira, Gabriel Costa Monteiro ; Silveira, Robson Mateus Freitas ; Reis, Ândrea Plotzki ; Dias D'auria, Brayan ; Pilonetto, Fabrício ; Gervásio, Izally Carvalho ; Ledur, Mônica Corrêa ; Coutinho, Luiz Lehmann ; Spangler, Matthew Lee ; Mourão, Gerson Barreto

Livestock science, 2023-01, Vol.267, p.105124, Article 105124 [Periódico revisado por pares]

Elsevier B.V

Texto completo disponível

Citações Citado por
  • Título:
    Estimation of breeding values using different densities of SNP to inform kinship in broiler chickens
  • Autor: Salvian, Mayara ; Moreira, Gabriel Costa Monteiro ; Silveira, Robson Mateus Freitas ; Reis, Ândrea Plotzki ; Dias D'auria, Brayan ; Pilonetto, Fabrício ; Gervásio, Izally Carvalho ; Ledur, Mônica Corrêa ; Coutinho, Luiz Lehmann ; Spangler, Matthew Lee ; Mourão, Gerson Barreto
  • Assuntos: Broiler chicken ; Genomic prediction ; High density panel ; Imputation ; Life Sciences ; Whole-genomic sequence
  • É parte de: Livestock science, 2023-01, Vol.267, p.105124, Article 105124
  • Descrição: •Using single-step genomic BLUP (ssGBLUP) approach in broiler chicken.•Applying genomic selection in broiler chicken using HD panels.•Different SNP panel densities to inform kinship for single-step genomic BLUP in a broiler population.•No difference when 10% or 100% of SNPs were used to inform kinship in the prediction of breeding values. Traditionally, breeding values are estimated based on phenotypic and pedigree information using the numerator relationship (A) matrix. With the availability of genomic information, genome-wide markers can be included in the estimation of breeding values through genomic kinship. Genomic information allows a more accurate estimation of breeding values compared to the breeding values estimated by phenotypic and pedigree information. However, the density of genomic information used can impact the cost of implementation. The aim of this study was to compare the rank, accuracy, and bias of estimated breeding values (EBV) for organs [heart (HRT), liver (LIV), gizzard (GIZ), lungs (LUN)] and carcass [breast (BRST), drumstick (DRM) and thigh (THG)] weight traits in a broiler population using pedigree-based BLUP (PBLUP) and single-step genomic BLUP (ssGBLUP) methods using various densities of SNP and variants imputed from whole-genome sequence (WGS). For both PBLUP and ssGBLUP, heritability estimates varied from low (LUN) to high (HRT, LIV, GIZ, BRST, DRM and THG). Regression coefficient values of EBV on genomic estimated breeding values (GEBV) were similar for both the high density (HD) and WGS sets of SNPs, ranging from 0.87 to 0.99 across scenarios. Results show no benefit of using WGS data compared to HD array data using an unweighted ssGBLUP. Our results suggest that 10% of the content of the HD array can yield unbiased and accurate EBV.
  • Editor: Elsevier B.V
  • Idioma: Inglês
Links
Voltar para lista de resultados
Ir para página anteriorAnterior Resultado  5 AvançarIr para próxima página

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.