| Registro completo |
| Provedor de dados: |
Scientia Agricola
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| País: |
Brazil
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| Título: |
Neural networks for predicting breeding values and genetic gains
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| Autores: |
Silva,Gabi Nunes
Tomaz,Rafael Simões
Sant'Anna,Isabela de Castro
Nascimento,Moysés
Bhering,Leonardo Lopes
Cruz,Cosme Damião
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| Data: |
2014-12-01
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| Ano: |
2014
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| Palavras-chave: |
Genetic value
Statistics
Simulation
Artificial intelligence
Training strategy
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| 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.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000600008
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| Editor: |
São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"
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| Relação: |
10.1590/0103-9016-2014-0057
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| Formato: |
text/html
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| Fonte: |
Scientia Agricola v.71 n.6 2014
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| Direitos: |
info:eu-repo/semantics/openAccess
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