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Ridge, lasso and bayesian additive-dominance genomic models and new estimators for the experimental accuracy of genome selectionModelos genômicos aditivo-dominante via abordagem ridge, lasso e bayesiana e novos estimadores para a acurácia experimental da seleção genômica
(Universidade Federal de Viçosa, 2016)
Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks
(2020-09-01)
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 ...
Genome-enabled prediction of genetic values using radial basis function neural networks
(Springerhttps://link.springer.com/article/10.1007%2Fs00122-012-1868-9, 2013)
Seleção genômica ampla para curvas de crescimento
(Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2018)
Prediction of genomic breeding values of milk traits in Brazilian Saanen goats
(Wiley-Blackwell, 2021-04-16)
The study's objective was to compare the genomic prediction ability methods for the traits milk yield, milk composition and somatic cell count of Saanen Brazilian goats. Nine hundred forty goats, genotyped with an Axiom_OviCap ...
Power of QTL mapping of different genome-wide association methods for traits under different genetic structures: a simulation study
(Universidade Estadual Paulista (Unesp), 2018-02-27)
The complexity of the traits that can present different genetic structures, such as polygenic or affected by genes of major effect, in addition to different heritabilities, among other factors, make the detection of QTLs ...
Comparison of methods used to identify superior individuals in genomic selection in plant breeding
(Genetics and Molecular Research, 2017)
Genomic prediction of genetic values for resistance to wheat rusts
(Crop Science Society of Americahttps://www.crops.org/publications/tpg/abstracts/5/3/136, 2013)
Genomic selection for quantitative adult plant stem rust resistance in wheat
(Crop Science Society of America, 2019)