M.C. Reis
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
Detection and expression of bovine papillomavirus in blood of healthy and papillomatosis-affected cattle
Papillomaviruses (PV) are double-stranded DNA viruses that can cause benignant and malignant tumors in amniotes. There are 13 types of bovine papillomavirus (BPV-1 to -13); they have been found in reproductive tissues and body fluids. Normally these viruses are detected in epithelial tissue. We looked for BPV in the blood of healthy cattle and cattle with papillomatosis, using PCR and RT-PCR. B.. Read More»
Genet. Mol. Res. 12(3): 2013.February.28.31
DOI: 10.4238/2013.February.28.31
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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