An Optimal Model to Improve Genomic Prediction for Protein Content and Test Weight in a Diverse Spring Wheat Panel

An Optimal Model to Improve Genomic Prediction for Protein Content and Test Weight in a Diverse Spring Wheat Panel

In recent years, genomic selection has been widely used in plant breeding to increase genetic gain. Selections are based on breeding values of each genotype estimated using genome-wide markers. The present study developed genomic prediction models for grain protein content (GPC) and test weight (TW)...

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Bibliographic Details
Main Authors: Pabitra Joshi, Guriqbal Singh Dhillon, Yaotian Gao, Amandeep Kaur, Justin Wheeler, Jianli Chen
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Agriculture
Subjects:
genomic prediction
protein content
test weight
spring wheat
model optimization
Online Access:https://www.mdpi.com/2077-0472/14/3/347

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https://www.mdpi.com/2077-0472/14/3/347

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