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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

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

Authorship: SAAVEDRA, L. M.; CAIXETA, E. T.; BARKA, G. D.; BORÉM, A.; ZAMBOLIM, L.; NASCIMENTO, M.; CRUZ, C. D.; OLIVEIRA, A. C. B. de; PEREIRA, A. A.

Abstract: In this study, marker-assisted recurrent selection was evaluated for pyramiding resistance gene alleles against coffee leaf rust (CLR) and coffee berry diseases (CBD) in Coffea arabica. A to... ...

Repository: BDPA     Publication year: 2023

Authorship: SOUSA, I. C. de; NASCIMENTO, M.; SANT’ANNA, I. de C.; CAIXETA, E. T.; AZEVEDO, C. F.; CRUZ, C. D.; SILVA, F. L. da; ALKIMIM, E. R.; NASCIMENTO, A. C. C.; SERÃO, N. V. L.

Many methodologies are used to predict the genetic merit in animals and plants, but some of them require priori assumptions that may increase the complexity of the model. Artificial neural network (AN... ...

Repository: BDPA     Publication year: 2022

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

Authorship: LIMA, L. P.; AZEVEDO, C. F.; RESENDE, M. D. V. de; NASCIMENTO, M.; SILVA, F. F. e

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

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

Authorship: COSTA, W. G. da; SANTOS, I. G. dos; SILVA JÚNIOR, A. C. da; CRUZ, C. D.; NASCIMENTO, M.; FERREIRA, R. de P.; VILELA, D.

The aim of this study was to obtain estimates of genetic parameters via meta-analysis and mixed models to evaluate the potential of the germplasm from Embrapa Pecuaria Sudeste for integration in breed... ...

Repository: BDPA     Publication year: 2021

Authorship: COSTA, W. G. da; BARBOSA, I. de P.; SOUZA, J. E. de; CRUZ, C. D.; NASCIMENTO, M.; OLIVEIRA, A. C. B. de

Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in the coffee production chain. Determining the influence of these factors is of... ...

Repository: BDPA     Publication year: 2021

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

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