Comparison of Univariate and Multivariate Applications of GBLUP and Artificial Neural Network for Genomic Prediction of Growth and Carcass Traits in the Brangus Heifer Population

Comparison of Univariate and Multivariate Applications of GBLUP and Artificial Neural Network for Genomic Prediction of Growth and Carcass Traits in the Brangus Heifer Population

Data for growth (birth, weaning and yearling weights) and carcass (longissimus muscle area, intramuscular fat percentage and depth of rib fat) traits and 50K SNP marker data to calculate the genomic relationship matrix were collected from 738 Brangus heifers. Univariate and multivariate genomic best...

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Bibliographic Details
Main Authors: Sunday O. Peters, Kadir Kızılkaya, Mahmut Sinecen, Milt G. Thomas
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Ruminants
Subjects:
genomic prediction
genomic relationship
artificial neural network
learning algorithm
transfer function
Online Access:https://www.mdpi.com/2673-933X/5/2/16
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