4 documents found, page 1 of 1
Superiority of artificial neural networks for a genetic classification procedure
Sant’Anna, I.C.; Tomaz, R.S.; Silva, G.N.; Nascimento, M.; Bhering, L.L.; Cruz, C.D.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 predefined groups...
Selection index using the graphical area applied to sugarcane breeding.
Silva, L.A.; Resende, R.T.; Ferreira, R.A.D.C.; Silva, G.N.; Kist, V.; Barbosa, M.H.P.; Nascimento, M.; Bhering, L.L.This study aimed to develop a multivariate selection index based on the graphical area of a polygon formed by standardized values, also known as radar chart. This methodology may be used to assist selection of superior genotypes in sugarcane breeding programs. Seven technological traits in 37 sugarcane genotypes were evaluated. An area index (AI) was constructed and the resulting polygon areas were used to rank...
Evaluation of the efficiency of artificial neural networks for genetic value pr...
Silva, G.N.; Tomaz, R.S.; Sant’Anna, I.C.; Carneiro, V.Q.; Cruz, C.D.; Nascimento, M.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 purpose of geneti...
Artificial neural networks as auxiliary tools for the improvement of bean plant...
Carneiro, V.Q.; Silva, G.N.; Cruz, C.D.; Carneiro, P.C.S; Nascimento, M.; Carneiro, J.E.S.Classification 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 (ANNs) as auxiliary tools in the improvement ...