Trait prediction through computational intelligence and machine learning applied to the improvement of white oat (Avena sativa L)

Trait prediction through computational intelligence and machine learning applied to the improvement of white oat (Avena sativa L)

ABSTRACT The prediction of traits allows the breeder to guide strategies to select and accelerate the progress of genetic improvement. The objective of this work was to determine the best prediction approach and establish a network with better predictive power for white oat using methodologies based...

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Bibliographic Details
Main Authors: Antônio Carlos da Silva, Isabela Castro Sant’Anna, Michele Jorge da Silva, Leonardo Lopes Bhering, Moysés Nascimento, Ivan Ricardo Carvalho, José Antônio Gonzalez da Silva, Cosme Damião Cruz
Format: Article
Language:English
Published: Universidade Federal De Viçosa 2024-11-01
Series:Revista Ceres
Subjects:
Avena sativa L.
multiple regression
decision trees
Artificial neural networks
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2024000100606&lng=en&tlng=en
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