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 Author(s): 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... ... |
 Author(s): ARAÚJO, M. dos S.; CHAVES, S. F. da S.; SILVA, K. J. D. e; DIAS, L. A. dos S.; ROCHA, M. de M. In cowpea breeding, multi-environment trials are conducted to select lines withhigh yield. The occurrence of genetic and/or statistical imbalance is common inthese experiments, in addition to the poss... ... |
 Author(s): BARRETO, C. A. V.; DIAS, K. O. das G.; SOUSA, I. C. de; AZEVEDO, C. F.; NASCIMENTO, A. C. C.; GUIMARAES, L. J. M.; GUIMARÃES, C. T.; PASTINA, M. M.; NASCIMENTO, M. In the context of multi-environment trials (MET), genomic prediction is proposed as a tool that allows the prediction of the phenotype of single cross hybrids that were not tested in field trials. Thi... ... |
 Author(s): FERREIRA, F. M.; CHAVES, S. F. da S.; PEIXOTO, M. A.; ALVES, R. S.; COELHO, I. F.; RESENDE, M. D. V. de; SANTOS, G. A. dos; BHERING, L. L. Multi-trait multi-environment (MTME) models were fitted to eucalyptus breeding trials data to assess residual variance structure, genetic stability and adaptability. To do so, 215 eucalyptus clones we... ... |
 Author(s): SAMPAIO FILHO, J. S.; OLIVEIRA, I. C. M.; PASTINA, M. M.; CAMPOS, M. de S.; OLIVEIRA, E. J. de The variability in genetic variance and covariance due to genotype × environment interaction (G×E) can hinder genotype selection accuracy, especially for complex traits. This study analyzed G×E intera... ... |
 Author(s): SAMPAIO FILHO, J. S.; OLIVOTO, T.; CAMPOS, M. de S.; OLIVEIRA, E. J. de Genotype-environment interaction (GEI) presents challenges when aiming to select optimal cassava genotypes, often due to biased genetic estimates. Various strategies have been proposed to address the... ... |
 Author(s): DIAS, K. O. das G.; PASTINA, M. M.; GUIMARAES, P. E. de O.; SANTOS, J. R. P. dos; KRAUSE, M. D.; FERRÃO, L. F. V.; GARCIA, A. A. F.
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 Author(s): BORGES, V.; SOARES, A. A.; RESENDE, M. D. V. de; REIS, M. de S.; CORNELIO, V. M. de O.; LEITE, N. A.; SOARES, P. C.; COSTA JÚNIOR, G. T. Data from 11 years of a breeding program for upland rice of the partner institutions Embrapa arroz e feijão, Epamig and UFLA conducted in 11 regions of Minas Gerais, were analyzed by the mixed model m... ... |
 Author(s): SANTOS, P. R. dos; OLIVEIRA, T. R. A. de; SKEEN, P.; NASCIMENTO, M. R.; COSTA, K. D. da S.; ARAÚJO, E. R.; PEREIRA, H. S.; COSTA, A. F. da Prior to releasing new varieties, one of the most common aims in breeding is to study genotype by environmental interactions. Using the analysis obtained from these initial processes, a multitude of v... ... |
 Author(s): CRUZ, C. D.; SANTANA, F. M.; TODD, T. C.; MACIEL, J. L. N.; KIYUNA, J.; BALDELOMAR, D. F.; CRUZ, A. P.; SEIXAS, C. D. S.; GOULART, A. C. P.; SUSSEL, A. A. B.; SCHIPANSKI, C. A.; CHAGAS, D. F.; COELHO, M.; MONTECELLI, T. D. N.; UTIAMADA, C.; CUSTODIO, A. P.; RIVADENEIRA, M. G.; BOCKUS, W. W.; VALENT, B.
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