Artificial Neural Networks in the Prediction of Genetic Merit to Flowering Traits in Bean Cultivars

Artificial Neural Networks in the Prediction of Genetic Merit to Flowering Traits in Bean Cultivars

Flowering is an important agronomic trait that presents non-additive gene action. Genome-enabled prediction allow incorporating molecular information into the prediction of individual genetic merit. Artificial neural networks (ANN) recognize patterns of data and represent an alternative as a univers...

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Bibliographic Details
Main Authors: Renato Domiciano Silva Rosado, Cosme Damião Cruz, Leiri Daiane Barili, José Eustáquio de Souza Carneiro, Pedro Crescêncio Souza Carneiro, Vinicius Quintão Carneiro, Jackson Tavela da Silva, Moyses Nascimento
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Agriculture
Subjects:
common beans
multilayer perceptron
radial basis function network
genomic prediction
Online Access:https://www.mdpi.com/2077-0472/10/12/638

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