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Population size in QTL detection using quantile regression in genome?wide association studies. Authorship: OLIVEIRA, G. F.; NASCIMENTO, A. C. C.; AZEVEDO, C. F.; CELERI, M. de O.; BARROSO, L. M. A.; SANT’ANNA, I. de C.; VIANA, J. M. S.; RESENDE, M. D. V. de; NASCIMENTO, M. 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... ... Repository: BDPA Publication year: 2023
Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models. Authorship: SUELA, M. M.; AZEVEDO, C. F.; NASCIMENTO, A. C. C.; MOMEN, M.; OLIVEIRA, A. C. B. de; CAIXETA, E. T.; MOROTA, G.; NASCIMENTO, M. 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... ... Repository: BDPA Publication year: 2023
Determination of optimal number of independent components in yield traits in rice. Authorship: COSTA, J. A. da; AZEVEDO, C. F.; NASCIMENTO, M.; SILVA, F. F.; RESENDE, M. D. V. de; NASCIMENTO, A. C. C. 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... ... Repository: BDPA Publication year: 2022
Quantile regression in genomic selection for oligogenic traits in autogamous plants: a simulation study. Authorship: OLIVEIRA, G. F.; NASCIMENTO, A. C. C.; NASCIMENTO, M.; SANT'ANNA, I. de C.; ROMERO, J. V.; AZEVEDO, C. F.; BHERING, L. L.; CAIXETA, E. T. 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... ... Repository: BDPA Publication year: 2021
Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis. Authorship: OLIVEIRA, G. F.; MIRANDA, T. L. R.; NASCIMENTO, A. C. C.; NASCIMENTO, M.; CAIXETA, E. T.; SILVA, L. de F.; ALKIMIM, E. R.; SILVA, F. L. da Coffee growing is one of the most important agricultural activities in the world market. Among the commercially relevant species, there is Coffea canephora,which can be divided into the varietal group... ... Repository: BDPA Publication year: 2021
A comparison of regression methods based on dimensional reduction for genomic prediction. Authorship: COSTA, J. A. da; AZEVEDO, C. F.; NASCIMENTO, M.; SILVA, F. F. e; RESENDE, M. D. V. de; NASCIMENTO, A. C. C. 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
Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms. Authorship: SOUSA, I. C. de; NASCIMENTO, M.; SILVA, G. N.; NASCIMENTO, A. C. C.; CRUZ, C. D.; SILVA, F. F. e; ALMEIDA, D. P. de; PESTANA, K. N.; AZEVEDO, C. F.; ZAMBOLIM, L.; 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
Multi-trait multi-environment models in the genetic selection of segregating soybean progeny. Authorship: VOLPATO, L.; ALVES, R. S.; TEODORO, P. E.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; LUDKE, W. H.; SILVA, F. L. da; BORÉM, A. 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
Metodologia para análise de adaptabilidade e estabilidade por meio de regressão quantílica. Authorship: BARROSO, L. M. A.; NASCIMENTO, M.; NASCIMENTO, A. C. C.; FONSECA, F. F. e; CRUZ, C. D.; BHERING, L. L.; FERREIRA, R. de P. O objetivo deste trabalho foi desenvolver e validar uma metodologia de análise da adaptabilidade e da estabilidade fenotípica baseada em regressão quantílica (RQ). Para tanto, foram simulados valores... ... Repository: BDPA Publication year: 2015
Multiple centroid method to evaluate the adaptability of alfalfa genotypes. Authorship: NASCIMENTO, N; FERREIRA, A.; NASCIMENTO, A. C. C.; SILVA, F. F. e; FERREIRA, R. de P.; CRUZ, C. D. ptabilidade de genótipos de alfafa (Medicago sativa L.). Neste método os genótipos são comparados a ideótipos definidos de acordo com o interesse do pesquisador por meio do modelo de regressão bissegm... ... Repository: BDPA Publication year: 2015

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