Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat

In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression models have been used. This study assessed the predictive ability of linear and non-linear models using dense molecular markers. The linear models were linear on marker effects and included the Bayesian LASSO, B...

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Detalles Bibliográficos
Autores principales: Pérez-Rodríguez, Paulino, Gianola, Daniel, González-Camacho, Juan Manuel, Crossa, José, Manès, Yann, Dreisigacker, Susanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2012
Materias:
Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3516481/
https://www.ncbi.nlm.nih.gov/pubmed/23275882
http://dx.doi.org/10.1534/g3.112.003665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3516481/
https://www.ncbi.nlm.nih.gov/pubmed/23275882
http://dx.doi.org/10.1534/g3.112.003665

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