Comparison of joint versus purebred genomic evaluation in the French multi-breed dairy goat population
Céline Carillier; Hélène Larroque; Christèle Robert-Granié · 2014 · Genetics Selection Evolution
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: All progeny-tested bucks from the two main French dairy goat breeds (Alpine and Saanen) were genotyped with the Illumina goat SNP50 BeadChip. The reference population consisted of 677 bucks and 148 selection candidates. With the two-step approach based on genomic best linear unbiased prediction (GBLUP), prediction accuracy of candidates did not outperform that of the parental average. We investigated a GBLUP method based on a single-step approach, with or without blending of the two breeds in the reference population. METHODS: Three models were used: (1) a multi-breed model, in whi
Abstract by Céline Carillier; Hélène Larroque; Christèle Robert-Granié, Genetics Selection Evolution (2014) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1186/s12711-014-0067-3