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Addressing scope of inference for global genetic evaluation of livestock R. Bras. Zootec.
Tempelman,Robert John.
Genetic evaluations should become more accurate with the advent of whole genome selection (WGS) based on high density SNP panels. The use of WGS should then accelerate genetic gains for production traits given likely decreases in generation interval due to the greater intent to select more animals based just on their genotypes rather than phenotypes. However, past and current genetic evaluations may not generally connect well to the intended scope of inference. For example, estimating haplotype effects from the data of a single reference population does not bode well for the use of WGS in other diverse environments since the scope of inference is too narrow; conversely, WGS based on estimates, for example, derived from daughter yield deviations of dairy...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bayesian inference; Genotype by environment interaction; Heterogeneous variances; Mixed effects models; Multiple traits; Random effects.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010001300029
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