Animal breeding strategies can improve meat quality attributes within entire populations

DP Berry, S Conroy, T Pabiou, AR Cromie - Meat science, 2017 - Elsevier
The contribution of animal breeding to changes in animal performance is well documented
across a range of species. Once genetic variation in a trait exists, then breeding to improve …

[HTML][HTML] Current applications and perspectives of genomic selection in Bos indicus (Nellore) cattle

GAF Júnior, E Peripolli, PI Schmidt, GS Campos… - Livestock Science, 2022 - Elsevier
Bos indicus cattle acquired very particular traits to thrive in distinct environments based on
the evolutionary adaptation process they have undergone, becoming particularly relevant for …

Genomic selection for meat quality traits in Nelore cattle

AFB Magalhães, FS Schenkel, DA Garcia, DGM Gordo… - Meat science, 2019 - Elsevier
The objective of this study was to present heritability estimates and accuracy of genomic
prediction using different methods for meat quality traits in Nelore cattle. Approximately 5000 …

Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks

F Brito Lopes, CU Magnabosco… - Journal of Animal …, 2020 - Wiley Online Library
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 …

Assessment of genomic breeding values and their accuracies for carcass traits in Jeju Black cattle using whole‐genome SNP chip panels

MA Haque, A Iqbal, H Bae, SE Lee… - Journal of Animal …, 2023 - Wiley Online Library
The objective of the present study was to evaluate the breeding value and accuracy of
genomic estimated breeding values (GEBVs) of carcass traits in Jeju Black cattle (JBC) …

[HTML][HTML] Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods …

FB Lopes, F Baldi, TL Passafaro, LC Brunes… - Animal, 2021 - Elsevier
Several methods have been used for genome-enabled prediction (or genomic selection) of
complex traits, for example, multiple regression models describing a target trait with a linear …

Genome‐enable prediction for health traits using high‐density SNP panel in US Holstein cattle

F Lopes, G Rosa, P Pinedo, JEP Santos… - Animal …, 2020 - Wiley Online Library
The objective of this study was to compare accuracies of different Bayesian regression
models in predicting molecular breeding values for health traits in Holstein cattle. The …

Genomic-polygenic and polygenic predictions for nine ultrasound and carcass traits in Angus-Brahman multibreed cattle using three sets of genotypes

MA Elzo, RG Mateescu, DD Johnson, TL Scheffler… - Livestock Science, 2017 - Elsevier
The objectives of this study were to estimate variance components, genetic parameters,
EBV, accuracies, and rankings for nine ultrasound and carcass traits in a multibreed Angus …

Beef tenderness prediction by a combination of statistical methods: Chemometrics and supervised learning to manage integrative farm-to-meat continuum data

M Gagaoua, V Monteils, S Couvreur, B Picard - Foods, 2019 - mdpi.com
This trial aimed to integrate metadata that spread over farm-to-fork continuum of 110
Protected Designation of Origin (PDO) Maine-Anjou cows and combine two statistical …

Improving accuracy of genomic prediction in Brangus cattle by adding animals with imputed low‐density SNP genotypes

FB Lopes, XL Wu, H Li, J Xu, T Perkins… - Journal of animal …, 2018 - Wiley Online Library
Reliable genomic prediction of breeding values for quantitative traits requires the availability
of sufficient number of animals with genotypes and phenotypes in the training set. As of 31 …