Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species

Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species

Genomic prediction (GP) is the procedure whereby the genetic merits of untested candidates are predicted using genome wide marker information. Although numerous examples of GP exist in plants and animals, applications to polyploid organisms are still scarce, partly due to limited genome resources an...

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Bibliographic Details
Main Authors: Laura M. Zingaretti, Salvador Alejandro Gezan, Luis Felipe V. Ferrão, Luis F. Osorio, Amparo Monfort, Patricio R. Muñoz, Vance M. Whitaker, Miguel Pérez-Enciso
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Plant Science
Subjects:
genomic prediction
genomic selection
polyploid species
deep learning
epistasis
complex traits
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2020.00025/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2020.00025/full

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