Artificial Neural Networks
Cotton genotypes selection through artificial neural networks
Authors: E.G. Silva J�ºnior, D.B.O. Cardoso, M.C. Reis, A.F.O. Nascimento, D.I. Bortolin, M.R. Martins and L.B. Sousa
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 wit.. Read More»
- Genet. Mol. Res. 16(3):
- gmr16039798
- DOI:
- 10.4238/gmr16039798
Artificial intelligence in the selection of common bean genotypes with high phenotypic stability
Authors: A.M. Corr�ªa, P.E. Teodoro, M.C. Gon�§alves, L.M.A. Barroso,M. Nascimento, A. Santos and F.E. Torres
Artificial neural networks have been used for various purposes in plant breeding, including use in the investigation of genotype x environment interactions. The aim of this study was to use artificial neural networks in the selection of common bean genotypes with high phenotypic adaptability and stability, and to verify their .. Read More»
- Genet. Mol. Res. 15(2):
- gmr.15028230
- DOI:
- 10.4238/gmr.15028230