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The differences in VWC were related to production efficiency, including the genetic merit of animals and farming management practices.
Whole-genome prediction (WGP) models that use single-nucleotide polymorphism marker information to predict genetic merit of animals and plants typically assume homogeneous residual variance.
Some authors [ 21, 22] reported a slight advantage of using a multi-breed TP to evaluate the genetic merit of animals under selection.
Unbiasedness is a desirable property in genetic evaluation because it enables, in particular, a proper comparison of the genetic merit of animals present in different environments or times, and correct estimates of realized genetic trends.
Genomic prediction [ 1] involves the use of marker genotypes to predict the genetic merit of animals in a target population based on estimates of regression of performance on high-density marker genotypes in a training population.
The animal model can be used to evaluate genetic merit of animals for traits associated with the production diseases described above (Heringstad et al. 2000; Kadarmideen et al. 2000).
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This is the case because reliably quantifying the merits of animals in terms of their breeding values has been totally reliant on recording pedigree and performance information, primarily on the selection candidates themselves, their parents and perhaps their offspring.
The merits of animal feed have been tested frequently in vivo, either by evaluating animal performance in response to a particular feeding regimen, or by estimating digestibility in vivo using livestock with fistulae [ 11].
Thus, the EPDs reported on animals born in the current year are relative to the average genetic merit of the animals born in the base year.
The accuracies of genomic predictions depended on the extent of relatedness between training and testing set animals, which means that recurrent updates of the training population are necessary to enhance predictions of the genetic merit of young animals.
Recurrent updates of the training population would be required to enable accurate prediction of the genetic merit of young animals.
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