Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program

Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program

Genomic selection (GS) is transforming the field of plant breeding and implementing models that improve prediction accuracy for complex traits is needed. Analytical methods for complex datasets traditionally used in other disciplines represent an opportunity for improving prediction accuracy in GS....

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Bibliographic Details
Main Authors:	Karansher S. Sandhu, Dennis N. Lozada, Zhiwu Zhang, Michael O. Pumphrey, Arron H. Carter
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-01-01
Series:	Frontiers in Plant Science
Subjects:	artificial intelligence convolutional neural network deep learning genomic selection multilayer perceptron neural networks
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2020.613325/full

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