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Genetic evaluation and selection in jatropha curcas through frequentist and bayesian inferences. Authorship: RESENDE, M. D. V. de 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
Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection. Authorship: RESENDE, M. D. V. de The Fisher?s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximizatio... ... Repository: BDPA Publication year: 2022
Evaluation of Bayesian methods of genomic association via chromosomic regions using simulated data. Authorship: RESENDE, M. D. V. de 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
Multiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy. Authorship: LAVIOLA, B. G.; RESENDE, M. D. V. de Multiple-trait model tends to be the best alternative for the analysis of repeated measures, since they consider the genetic and residual correlations between measures and improve the selective accura... ... Repository: BDPA Publication year: 2021
A comparison of regression methods based on dimensional reduction for genomic prediction. Authorship: RESENDE, M. D. V. de multicollinearity and high dimensionality problems, making it impossible to obtain stable estimates through the traditional method of estimation based on ordinary least squares. To overcome such chall... ... Repository: BDPA Publication year: 2021
Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach. Authorship: RESENDE, M. D. V. de The genotype × environment (G×E) interaction plays an essential role in phenotypic expression and can lead to difficulties in genotypes recommendation. Thus, the objectives of this study were: i) prop... ... Repository: BDPA Publication year: 2021
Genomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models. Knowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of... ... Repository: BDPA Publication year: 2021
Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms. Authorship: CAIXETA, E. T. Genomic selection (GS) emphasizes the simultaneous prediction of the genetic effects of thousands of scattered markers over the genome. Several statistical methodologies have been used in GS for the p... ... Repository: BDPA Publication year: 2021
Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding. Authorship: RESENDE, M. D. V. de An accurate, efficient and informative statistical method for analyses of genotype × environment (G × E) interactions is a key requirement for progress in any breeding program. Thus, the objective of... ... Repository: BDPA Publication year: 2020
Genetic study of litter size and litter uniformity in Landrace pigs. Repository: BDPA Publication year: 2020

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