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Comparison of methods for predicting genomic breeding values for growth traits in Nellore cattle
(2021-07-01)
The objective of this study was to evaluate the accuracy of genomic predictions of growth traits in Nellore cattle. Data from 5064 animals belonging to farms that participate in the Conexão DeltaGen and PAINT breeding ...
GenomicLand: Software for genome-wide association studies and genomic prediction
(Acta Scientiarum. Agronomy, 2019)
lme4GS: an R-Package for Genomic Selection
(Frontiers, 2021)
An R Package for Bayesian analysis of multi-environment and multi-trait multi-environment data for genome-based prediction
(Genetics Society of America, 2019)
Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle
(2021-01-01)
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 function of a set of genetic markers. ...
Genome-enabled prediction models for yield related traits in chickpea
(Frontiers, 2021)
Efficacy of plant breeding using genomic information
(John Wiley and Sons Inc, 2023)