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Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP using real data from pigs.

Ibrahim JibrilaJérémie VandenplasJan Ten NapelRob BergsmaRoel F VeerkampMario P L Calus
Published in: Genetics, selection, evolution : GSE (2022)
We conclude that the impact of preselection on accuracy and bias in subsequent ssGBLUP evaluations of selection candidates in pigs is generally minimal. We expect this conclusion to apply for other animal breeding programs as well, since preselection of any type or intensity generally has the same effect in animal breeding programs.
Keyphrases
  • public health
  • copy number
  • electronic health record
  • genome wide
  • high intensity
  • big data
  • dna methylation
  • machine learning
  • artificial intelligence