Quantitative Trait, Heritable

Diversity among elephant grass genotypes using Bayesian multi-trait model.

D. A. Rossi, Daher, R. F., Barbé, T. C., Lima, R. S. N., Costa, A. F., Ribeiro, L. P., Teodoro, P. E., and Bhering, L. L., “Diversity among elephant grass genotypes using Bayesian multi-trait model.”, Genet Mol Res, vol. 16, no. 3, 2017.

Estimates of genetics and phenotypics parameters for the yield and quality of soybean seeds.

E. V. Zambiazzi, Bruzi, A. T., Guilherme, S. R., Pereira, D. R., Lima, J. G., Zuffo, A. M., Ribeiro, F. O., Mendes, A. E. S., Godinho, S. H. M., and Carvalho, M. L. M., “Estimates of genetics and phenotypics parameters for the yield and quality of soybean seeds.”, Genet Mol Res, vol. 16, no. 3, 2017.

Cotton genotypes selection through artificial neural networks.

E. G. Silva Júnior, Cardoso, D. B. O., Reis, M. C., Nascimento, A. F. O., Bortolin, D. I., Martins, M. R., and Sousa, L. B., “Cotton genotypes selection through artificial neural networks.”, Genet Mol Res, vol. 16, no. 3, 2017.

Genotype x environment interaction and stability of soybean cultivars for vegetative-stage characters.

M. V. A. Chaves, Silva, N. S., Silva, R. H. O., Jorge, G. L., Silveira, I. C., Medeiros, L. A., Hamawaki, R. L., Hamawaki, O. T., Nogueira, A. P. O., and Hamawaki, C. D. L., “Genotype x environment interaction and stability of soybean cultivars for vegetative-stage characters.”, Genet Mol Res, vol. 16, no. 3, 2017.

Multiple genetic resistances in Capsicum spp.

C. S. Bento, de Souza, A. G., Sudré, C. P., Pimenta, S., and Rodrigues, R., “Multiple genetic resistances in Capsicum spp.”, Genet Mol Res, vol. 16, no. 3, 2017.

Identification of soybean genotypes with high stability for the Brazilian macro-region 402 via biplot analysis.

E. U. Ramos Junior, Brogin, R. L., Godinho, V. P. C., Botelho, F. J. E., Tardin, F. D., and Teodoro, P. E., “Identification of soybean genotypes with high stability for the Brazilian macro-region 402 via biplot analysis.”, Genet Mol Res, vol. 16, no. 3, 2017.

Minimum number of measurements for evaluating Bertholletia excelsa.

A. B. Baldoni, Tonini, H., Tardin, F. D., Botelho, S. C. C., and Teodoro, P. E., “Minimum number of measurements for evaluating Bertholletia excelsa.”, Genet Mol Res, vol. 16, no. 3, 2017.

Prediction of genetic gains by selection indices using mixed models in elephant grass for energy purposes.

V. B. Silva, Daher, R. F., Araújo, M. S. B., Souza, Y. P., Cassaro, S., Menezes, B. R. S., Gravina, L. M., Novo, A. A. C., Tardin, F. D., and Júnior, A. T. Amaral, “Prediction of genetic gains by selection indices using mixed models in elephant grass for energy purposes.”, Genet Mol Res, vol. 16, no. 3, 2017.

RESEARCH-ARTILE Agricultural performance and genetic parameters for yield-related traits of sugar- and energy cane families derived from planned crosses.

A. R. Fernande Júnior, de Azeredo, A. A. C., de Oliveira, R. A., Filho, J. C. Bespalho, Ido, O. T., Daros, E., and Brasileiro, B. P., “RESEARCH-ARTILE Agricultural performance and genetic parameters for yield-related traits of sugar- and energy cane families derived from planned crosses.”, Genet Mol Res, vol. 16, no. 3, 2017.

Indices estimated using REML/BLUP and introduction of a super-trait for the selection of progenies in popcorn.

C. Vittorazzi, Júnior, A. T. Amaral, Guimarães, A. G., Viana, A. P., Silva, F. H. L., Pena, G. F., Daher, R. F., Gerhardt, I. F. S., Oliveira, G. H. F., and Pereira, M. G., “Indices estimated using REML/BLUP and introduction of a super-trait for the selection of progenies in popcorn.”, Genet Mol Res, vol. 16, no. 3, 2017.

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