Article
Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks.
Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie - 1 Sept 2020
Brito Lopes Fernando, Magnabosco Cláudio U, Passafaro Tiago L, Brunes Ludmilla C, Costa Marcos F O, Eifert Eduardo C, Narciso Marcelo G, Rosa Guilherme J M, Lobo Raysildo B, Baldi Fernando
Abstract excerpt
The goal of this study was to compare the predictive performance of artificial neural networks (ANNs) with Bayesian ridge regression, Bayesian Lasso, Bayes A, Bayes B and Bayes Cπ in estimating genomic breeding values for meat tenderness in Nellore cattle. The animals were genotyped with the Illumina Bovine HD Bead Chip (HD, 777K from 90 samples) and the GeneSeek Genomic Profiler (GGP Indicus HD, 77K from 485...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.