Genomic Selection for End-Use Quality and Processing Traits in Soft White Winter Wheat Breeding Program with Machine and Deep Learning Models

Genomic Selection for End-Use Quality and Processing Traits in Soft White Winter Wheat Breeding Program with Machine and Deep Learning Models

Breeding for grain yield, biotic and abiotic stress resistance, and end-use quality are important goals of wheat breeding programs. Screening for end-use quality traits is usually secondary to grain yield due to high labor needs, cost of testing, and large seed requirements for phenotyping. Genomic...

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Bibliographic Details
Main Authors: Karansher Singh Sandhu, Meriem Aoun, Craig F. Morris, Arron H. Carter
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Biology
Subjects:
deep learning
end-use quality
genomic selection
machine learning
wheat breeding
Online Access:https://www.mdpi.com/2079-7737/10/7/689

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