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Genome and environment based prediction models and methods of complex traits incorporating genotype × environment interaction. Author(s): CROSSA, J.; MONTESINOS-LÓPEZ, O. A.; PÉREZ-RODRÍGUEZ, P.; COSTA-NETO, G.; FRITSCHE-NETO, R.; ORTIZ, R.; MARTINI, J. W. R.; LILLEMO, M.; MONTESINOS-LÓPEZ, A.; JARQUIN, D.; BRESEGHELLO, F.; CUEVAS, J.; RINCENT, R. Genomic-enabled prediction models are of paramount importance for the successful implementation of genomic selection (GS) based on breeding values. As opposed to animal breeding, plant breeding includ... ... Repository: BDPA Publication year: 2022
Genotype-environment interaction for the sensory profile of Coffea arabica lines in high temperature regions in the Western Amazon. Author(s): SOUZA, C. A.; ROCHA, R. B.; TEIXEIRA, A. L.; ALVES, E. A.; ESPINDULA, M. C. The aim of this study was to select Coffea arabica lines with improved adaptability to tropical edaphic conditions. Competitive trials were set up at three locations of the states of Rondônia and Acre... ... Repository: BDPA Publication year: 2021
Genotype × environment interaction for long-yearling weight in Canchim cattle quantified by reaction norm analysis. Author(s): MATTAR, M.; SILVA, L. O. C. da; ALENCAR, M. M. de; CARDOSO, F. F. The objective of this study was to investigate the presence of genotype × environment interactions (G×E) for long-yearling weight in Canchim cattle (5/8 Charolais + 3/8 zebu) in Brazil using reaction... ... Repository: BDPA Publication year: 2011
Genetic, environmental and genotype x environment interaction effects on the common bean grain yield and commercial quality. Author(s): PEREIRA, H. S.; ALVARES, R. C.; SILVA, F. de C.; FARIA, L. C. de; MELO, L. C. The objective of this study was to assess the effects of environmental and genotype x environment (GxE) interaction on the commercial quality and grain yield of common bean for the identification of n... ... Repository: BDPA Publication year: 2017
Genotype-environment-attribute interaction in an advanced cashew population through joint biplot graphical analysis. Author(s): MAIA, M. C. C.; ALMEIDA, M. L. B.; MOURA, C. F. H.; VIDAL NETO, F. das C.; MELO, D. S.; OLIVEIRA, L. C. de; ARAÚJO, L. B. de; DOVALE, J. C. This this study investigated genotype x environment x attribute interaction in cashew trees using principal component analysis with multiple data matrices. Repository: BDPA Publication year: 2024
Multivariate analyses of genotype x environment interaction of popcorn. Author(s): MIRANDA, G. V.; SOUZA, L. V. de; GUIMARAES, L. J. M.; NAMORATO, H.; OLIVEIRA, L. R.; SOARES, M. O. The objectives of this work were to evaluate the genotype x environment (GxE) interaction for popcorn and to compare two multivariate analyses methods. Nine popcorn cultivars were sown on four dates o... ... Repository: BDPA Publication year: 2009
SciPy and OpenCV as an interactive computing environment for computer vision. Author(s): SANTOS, T. T. In research and development (R&D), interactive computing environments are a frequently employed alternative for data exploration, algorithm development and prototyping. In the last twelve years, a pop... ... Repository: BDPA Publication year: 2015
Improving binding affinity prediction by using a rule-based model with physical-chemical and structural descriptors of the nano-environment for protein-ligand interactions. Author(s): BORRO, L. C.; SALIM, J. A.; MAZONI, I.; YANO, I.; JARDINE, J. G.; NESHICH, G. In order to improve binding affinity prediction, we developed a new scoring function, named STINGSF, derived from physical-chemical and structural features that describe the protein-ligand interaction... ... Repository: BDPA Publication year: 2015
Genotype x environment interaction, adaptability and stability of 'Piel de Sapo' melon hybrids through mixed models. Author(s): SILVA, E. M. DA; NUNES, E. W. L. P.; COSTA, J. M. DA; RICARTE, A. DE O.; NUNES, G. H. DE S.; ARAGAO, F. A. S. de Repository: BDPA Publication year: 2019
Genotype by environment interaction in cowpea lines using GGE Biplot method. Author(s): SOUSA, M. B. e; SILVA, K. J. D. e; ROCHA, M. de M.; MENEZES JUNIOR, J. A. de; LIMA, L. R. L. The GGE Biplot method is efficien to identify favorable genotypes and ideal environments for evaluation. Therefore, the objective of this work was to evaluate the genotype by environment interaction (... ... Repository: BDPA Publication year: 2018

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