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Resultado 1-7 de 7.
Ano de publicaçãoTítuloAutor(es)
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
2021Designing the best breeding strategy for Coffea canephora: Genetic evaluation of pure and hybrid individuals aiming to select for productivity and disease resistance traits.ALKIMIM, E. R.; CAIXETA, E. T.; SOUSA, T. V.; GOIS, I. B.; SILVA, F. L. da; SAKIYAMA, N. S.; ZAMBOLIM, L.; ALVES, R. S.; RESENDE, M. D. V. de
2022Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.MIRANDA, T. L. R.; RESENDE, M. D. V. de; AZEVEDO, C. F.; NUNES, A. C. P.; TAKAHASHI, E. K.; SIMIQUELI, G. F.; SILVA, F. F. e; ALVES, R. S.
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
2022Statistical significance, selection accuracy, and experimental precision in plant breeding.RESENDE, M. D. V. de; ALVES, R. S.
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