D.B.O. Cardoso
Cotton genotypes selection through artificial neural networks
Breeding programs currently use statistical analysis to assist in the identification of superior genotypes at various stages of a cultivar’s development. Differently from these analyses, the computational intelligence approach has been little explored in genetic improvement of cotton. Thus, this study was carried out with the objective of presenting the use of.. Read More»
Genet. Mol. Res. 16(3): gmr16039798
DOI: 10.4238/gmr16039798
Evaluation of genetic diversity among soybean (Glycine max) genotypes using univariate and multivariate analysis
The genetic diversity study has paramount importance in breeding programs; hence, it allows selection and choice of the parental genetic divergence, which have the agronomic traits desired by the breeder. This study aimed to characterize the genetic divergence between 24 soybean genotypes through their agronomic traits, using multivariate clustering methods to selec.. Read More»
Genet. Mol. Res. 16(2): gmr16029661
DOI: 10.4238/gmr16029661
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