skip to main content
Idioma:
Tipo de recurso Ver resultados con: Ver resultados con: Sumario

Bias, dispersion, and accuracy of genomic predictions for feedlot and carcase traits in Australian Angus steers

Alexandre, Pâmela A ; Li, Yutao ; Hine, Brad C ; Duff, Christian J ; Ingham, Aaron B ; Porto-Neto, Laercio R ; Reverter, Antonio

Genetics selection evolution (Paris), 2021-09, Vol.53 (1), p.1-77, Article 77 [Revista revisada por pares]

London: BioMed Central Ltd

Texto completo disponible

Citas Citado por
  • Título:
    Bias, dispersion, and accuracy of genomic predictions for feedlot and carcase traits in Australian Angus steers
  • Autor: Alexandre, Pâmela A ; Li, Yutao ; Hine, Brad C ; Duff, Christian J ; Ingham, Aaron B ; Porto-Neto, Laercio R ; Reverter, Antonio
  • Materias: Accuracy ; Age ; Animals ; Beef ; Beef cattle ; Beef industry ; Bias ; Datasets ; Dispersion ; Dry matter ; Estimates ; Feedlots ; Females ; Genomics ; Heritability ; Life Sciences ; Mathematical analysis ; Meat ; Meat quality ; Muscles ; Ossification ; Phenotypes ; Quartiles ; Single-nucleotide polymorphism ; Weight
  • Es parte de: Genetics selection evolution (Paris), 2021-09, Vol.53 (1), p.1-77, Article 77
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descripción: Abstract Background Improving feedlot performance, carcase weight and quality is a primary goal of the beef industry worldwide. Here, we used data from 3408 Australian Angus steers from seven years of birth (YOB) cohorts (2011–2017) with a minimal level of sire linkage and that were genotyped for 45,152 SNPs. Phenotypic records included two feedlot and five carcase traits, namely average daily gain (ADG), average daily dry matter intake (DMI), carcase weight (CWT), carcase eye muscle area (EMA), carcase Meat Standard Australia marbling score (MBL), carcase ossification score (OSS) and carcase subcutaneous rib fat depth (RIB). Using a 7-way cross-validation based on YOB cohorts, we tested the quality of genomic predictions using the linear regression (LR) method compared to the traditional method (Pearson’s correlation between the genomic estimated breeding value (GEBV) and its associated adjusted phenotype divided by the square root of heritability); explored the factors, such as heritability, validation cohort, and phenotype that affect estimates of accuracy, bias, and dispersion calculated with the LR method; and suggested a novel interpretation for translating differences in accuracy into phenotypic differences, based on GEBV quartiles (Q1Q4). Results Heritability (h 2 ) estimates were generally moderate to high (from 0.29 for ADG to 0.53 for CWT). We found a strong correlation (0.73, P- value < 0.001) between accuracies using the traditional method and those using the LR method, although the LR method was less affected by random variation within and across years and showed a better ability to discriminate between extreme GEBV quartiles. We confirmed that bias of GEBV was not significantly affected by h 2 , validation cohort or trait. Similarly, validation cohort was not a significant source of variation for any of the GEBV quality metrics. Finally, we observed that the phenotypic differences were larger for higher accuracies. Conclusions Our estimates of h 2 and GEBV quality metrics suggest a potential for accurate genomic selection of Australian Angus for feedlot performance and carcase traits. In addition, the Q1Q4 measure presented here easily translates into possible gains of genomic selection in terms of phenotypic differences and thus provides a more tangible output for commercial beef cattle producers.
  • Editor: London: BioMed Central Ltd
  • Idioma: Inglés;Alemán
Enlaces
Volver a la lista de resultados
Ir a la página anteriorAnterior Resultado  8 SiguienteIr a la siguiente página

  • Realización: ABCD-USP USP   Logos de Redes Sociales: Freepik

Buscando en bases de datos remotas, por favor espere

  • Buscando por
  • enscope:(USP_VIDEOS),scope:("PRIMO"),scope:(USP_FISICO),scope:(USP_EREVISTAS),scope:(USP),scope:(USP_EBOOKS),scope:(USP_PRODUCAO),primo_central_multiple_fe
  • Mostrar lo que tiene hasta ahora