Data/hora: 09/06/2024 15:38:01

Provedor de dados: | Scientia Agricola
País: | Brazil
Título: | Neural networks for predicting breeding values and genetic gains
Autores: | Silva,Gabi Nunes; Tomaz,Rafael Simões; Sant'Anna,Isabela de Castro; Nascimento,Moysés; Bhering,Leonardo Lopes; Cruz,Cosme Damião.
Data: | 2014-12-01
Ano: | 2014
Palavras-chave: | Genetic value; Statistics; Simulation; Artificial intelligence; Training strategy.
Resumo: | Analysis using Artificial Neural Networks has been described as an approach in the decision-making process that, although incipient, has been reported as presenting high potential for use in animal and plant breeding. In this study, we introduce the procedure of using the expanded data set for training the network. Wealso proposed using statistical parameters to estimate the breeding value of genotypes in simulated scenarios, in addition to the mean phenotypic value in a feed-forward back propagation multilayer perceptron network. After evaluating artificial neural network configurations, our results showed its superiority to estimates based on linear models, as well as its applicability in the genetic value prediction process. The results further indicated the good generalization performance of the neural network model in several additional validation experiments.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000600008
Editor: | São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"
Relação: | 10.1590/0103-9016-2014-0057
Formato: | text/html
Fonte: | Scientia Agricola  v.71 n.6 2014
Fonte: | info:eu-repo/semantics/openAccess