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Tag SNP selection for prediction of adaptation traits in Braford and Hereford cattle using Bayesian methods. This study utilized Bayesian inference in a genome-wide association study (GWAS) to identify genetic markers associated with traits relevant to the adap- tation of Hereford and Braford cattle breeds.... ... Repository: BDPA Publication year: 2024
Evaluation of Bayesian methods of genomic association via chromosomic regions using simulated data. The development of efficient methods for genome-wide association studies (GWAS) between quantitative trait loci (QTL) and genetic values is extremely important to animal and plant breeding programs. B... ... Repository: BDPA Publication year: 2022
The Eberhart and Russel's Bayesian method used as an instrument to select maize hybrids. Repository: BDPA Publication year: 2018
Tag SNP selection for prediction of tick resistance in Brazilian Braford and Hereford cattle breeds using Bayesian methods. Cattle resistance to ticks is known to be under genetic control with a complex biological mechanism within and among breeds. Our aim was to identify genomic segments and tag single nucleotide polymorp... ... Repository: BDPA Publication year: 2017
Ridge, Lasso and Bayesian additive dominance genomic models. Background: A complete approach for genome-wide selection (GWS) involves reliable statistical genetics models and methods. Reports on this topic are common for additive genetic models but not for addi... ... Repository: BDPA Publication year: 2015
Genetic parameters for longevity measures in Brazilian Holstein cattle using linear and threshold models. The aim in this study was to estimate variance components and heritability of different longevity measures related to productive life and survival at a specified age, using linear and threshold models... ... Repository: BDPA Publication year: 2014
Genetic association between herd survival and linear type traits in Holstein cows under tropical conditions. Repository: BDPA Publication year: 2014
Genetic evaluation and selection in jatropha curcas through frequentist and bayesian inferences. An accurate and efficient statistical method for genetic evaluation is a key requirement for progress in any breeding program. Thus, the present study aimed to evaluate the performance of Frequentist... ... Repository: BDPA Publication year: 2022
Multi-trait multi-environment models in the genetic selection of segregating soybean progeny. At present, single-trait best linear unbiased prediction (BLUP) is the standard method for genetic selection in soybean. However, when genetic selection is performed based on two or more genetically c... ... Repository: BDPA Publication year: 2019
Multivariate bayesian analysis for genetic evaluation and selection of eucalyptus in multiple environment trials. Forest plantations are strong allies in preserving natural resources, providing social and economic benefits. The plantations carried out in the coming years will be vital to meet the growing demand f... ... Repository: BDPA Publication year: 2022

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