Genome-Wide Prediction of Complex Traits in Two Outcrossing Plant Species Through Deep Learning and Bayesian Regularized Neural Network

Genomic selection models were investigated to predict several complex traits in breeding populations of Zea mays L. and Eucalyptus globulus Labill. For this, the following methods of Machine Learning (ML) were implemented: (i) Deep Learning (DL) and (ii) Bayesian Regularized Neural Network (BRNN) bo...

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Detalles Bibliográficos
Autores principales: Maldonado, Carlos, Mora-Poblete, Freddy, Contreras-Soto, Rodrigo Iván, Ahmar, Sunny, Chen, Jen-Tsung, do Amaral Júnior, Antônio Teixeira, Scapim, Carlos Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728740/
https://www.ncbi.nlm.nih.gov/pubmed/33329658
http://dx.doi.org/10.3389/fpls.2020.593897

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728740/
https://www.ncbi.nlm.nih.gov/pubmed/33329658
http://dx.doi.org/10.3389/fpls.2020.593897

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