G.N. Silva
Artificial neural networks as auxiliary tools for the improvement of bean plant architecture
lassification using a scale of visual notes is a strategy used to select erect bean plants in order to improve bean plant architectures. Use of morphological traits associated with the phenotypic expression of bean architecture in classification procedures may enhance selection. The objective of this study was to evaluate the potential of artificial neural networks .. Read More»
Genet. Mol. Res. 16(2): gmr16029500
DOI: 10.4238/gmr16029500
Superiority of artificial neural networks for a genetic classification procedure
The correct classification of individuals is extremely important for the preservation of genetic variability and for maximization of yield in breeding programs using phenotypic traits and genetic markers. The Fisher and Anderson discriminant functions are commonly used multivariate statistical techniques for these situations, which allow for the allocation of an initially unknown individual to .. Read More»
Genet. Mol. Res. 14(3): 2015.August.19.24
DOI: 10.4238/2015.August.19.24
Evaluation of the efficiency of artificial neural networks for genetic value prediction
Artificial neural networks have shown great potential when applied to breeding programs. In this study, we propose the use of artificial neural networks as a viable alternative to conventional prediction methods. We conduct a thorough evaluation of the efficiency of these networks with respect to the prediction of breeding values. Therefore, we considered eight simulated scenarios, and for the .. Read More»
Genet. Mol. Res. 15(1): gmr.15017676
DOI: 10.4238/gmr.15017676
Impact Factor an Index
Google scholar citation report
Citations : 56184
Genetics and Molecular Research received 56184 citations as per google scholar report
