Application of random forest methodology for genomic selection of disease traits in dairy cattle
2014
Naderi Darbaghshahi, Saeid | Yin, T. | König, S.
The objective of the present study was the application of RF to binary disease traits recorded in a cow calibration group. Major tasks addressed the impact of the cow calibration group size, the frequency of diseased cows in the reference population, and the genomic architecture on accuracies of GEBV. Results from RF applications were compared with GBLUP methodology.
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