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Genomic prediction with non-additive effects in beef cattle: stability of variance component and genetic effect estimates against population size.

Akio OnogiToshio WatanabeAtsushi OginoKazuhito KurogiKenji Togashi
Published in: BMC genomics (2021)
The six carcass traits of Japanese Black cattle showed moderate or relatively high levels of additive-by-additive variance components, although incorporating the additive-by-additive effects did not improve the predictive accuracy. Subsampling analysis suggested that estimation of the additive-by-additive effects was highly reliant on the phenotypic values of the animals to be estimated, as supported by low off-diagonal values of the relationship matrix. On the other hand, estimates of the additive-by-additive variance components were relatively stable against reduction of the population size compared with the estimates of the corresponding genetic effects.
Keyphrases
  • genome wide
  • gene expression
  • dna methylation
  • high intensity
  • data analysis