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Population size in QTL detection using quantile regression in genome?wide association studies. The aim of this study was to evaluate the performance of Quantile Regression (QR) in Genome-Wide Association Studies (GWAS) regarding the ability to detect QTLs (Quantitative Trait Locus) associated w... ... Repositório: BDPA Ano de publicação: 2023
Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models. Yield is one of the most important traits of arabica coffee. Plant breeders seek to maximize yield directly or indirectly, using other related traits. The standard multi-trait genome-wide association... ... Repositório: BDPA Ano de publicação: 2023
Increasing cassava root yield: additive-dominant genetic models for selection of parents and clones. Genomic selection has been promising in situations where phenotypic assessments are expensive, laborious, and/or inefficient. This work evaluated the efficiency of genomic prediction methods combined... ... Repositório: BDPA Ano de publicação: 2022
Determination of optimal number of independent components in yield traits in rice. The principal component regression (PCR) and the independent component regression (ICR) are dimensionality reduction methods and extremely important in genomic prediction. These methods require the ch... ... Repositório: BDPA Ano de publicação: 2022
Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection. 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... ... Repositório: BDPA Ano de publicação: 2022
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... ... Repositório: BDPA Ano de publicação: 2022
Quantile regression in genomic selection for oligogenic traits in autogamous plants: a simulation study. This study assessed the efficiency of Genomic selection (GS) or genome‐wide selection (GWS), based on Regularized Quantile Regression (RQR), in the selection of genotypes to breed autogamous pla... ... Repositório: BDPA Ano de publicação: 2021
Can cross-country genomic predictions be a reasonable strategy to support germplasm exchange? A case study with hydrogen cyanide in cassava. Genomic prediction (GP) offers great opportunities for accelerated genetic gains by optimizing the breeding pipeline. One of the key factors to be considered is how the training populations (TP) are c... ... Repositório: BDPA Ano de publicação: 2021
A comparison of regression methods based on dimensional reduction for genomic prediction. 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... ... Repositório: BDPA Ano de publicação: 2021
Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms. 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... ... Repositório: BDPA Ano de publicação: 2021

Mostrando 1 - 10 de 26 resultados.

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