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Resultado 1-10 de 16.
Ano de publicaçãoTítuloAutor(es)
2021Soybean productivity, stability, and adaptability through mixed model methodology.EVANGELISTA, J. S. P. C.; ALVES, R. S.; PEIXOTO, M. A.; RESENDE, M. D. V. de; TEODORO, P. E.; SILVA, F. L. da; BHERING, L. L.
2020Estimates of genetic parameters, genetic variability, and selection in the S1 generation of peach.SILVA, J. O. da C. e; BRUCKNER, C. H.; CARNEIRO, P. C. S.; RESENDE, M. D. V. de; ALVES, R. S.; SILVA, D. F. P. da
2020Linear, generalized, hierarchical, bayesian and random regression mixed models in genetics/genomics in plant breeding.RESENDE, M. D. V. de; ALVES, R. S.
2020Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding.ALVES, R. S.; RESENDE, M. D. V. de; ROCHA, J. R. do A. S. de C.; PEIXOTO, M. A.; TEODORO, P. E.; SILVA, F. F. e; BHERING, L. L.; SANTOS, G. A. dos
2022Estimates of geneticparameters and selection gains for phenological and productive characteristics in macaw palm: an important plant for bioenergy.COSER, S. M.; MOTOIKE, S. Y.; CORRÊA, T. R.; QUEIROZ, V. de; COSTA, A. M.; NASCIMENTO, H. R. do; MADEIRA, D. D. C.; RESENDE, M. D. V. de
2022Increasing cassava root yield: additive-dominant genetic models for selection of parents and clones.ANDRADE, L. R. B. de; SOUSA, M. B. e; WOLFE, M.; JANNINK, J. L.; RESENDE, M. D. V. de; AZEVEDO, C. F.; OLIVEIRA, E. J. de
2022Genetic evaluation and selection in jatropha curcas through frequentist and bayesian inferences.EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I.; ALVES, R.; RESENDE, M. D. V. de; SILVA, F. F. e; LAVIOLA, B.; BHERING, L. L.
2022Top grafting to accelerate self-pollination in eucalyptus breeding.CASTRO, C. A. de O.; SANTOS, G. A. dos; TAKAHASHI, E. K.; NUNES, A. C. P.; SOUZA, G. A. de; RESENDE, M. D. V. de; ZANUNCIO, J. C.
2022Statistical significance, selection accuracy, and experimental precision in plant breeding.RESENDE, M. D. V. de; ALVES, R. S.
2022Evaluation of Bayesian methods of genomic association via chromosomic regions using simulated data.LIMA, L. P.; AZEVEDO, C. F.; RESENDE, M. D. V. de; NASCIMENTO, M.; SILVA, F. F. e
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