Genomic Prediction of Kernel Water Content in a Hybrid Population for Mechanized Harvesting in Maize in Northern China

Genomic Prediction of Kernel Water Content in a Hybrid Population for Mechanized Harvesting in Maize in Northern China

Genomic prediction enables rapid selection of maize varieties with low kernel water content (KWC), facilitating the development of mechanized maize harvesting and reducing costs. This study evaluated and characterized the KWC and grain yield (GY) of hybrid maize in northern China and used genomic pr...

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Main Authors: Ping Luo, Ruisi Yang, Lin Zhang, Jie Yang, Houwen Wang, Hongjun Yong, Runze Zhang, Wenzhe Li, Fei Wang, Mingshun Li, Jianfeng Weng, Degui Zhang, Zhiqiang Zhou, Jienan Han, Wenwei Gao, Xinlong Xu, Ke Yang, Xuecai Zhang, Junjie Fu, Xinhai Li, Zhuanfang Hao, Zhiyong Ni
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agronomy
Subjects:
maize
genomic prediction
kernel water content
genetic effects
mechanized harvesting
Online Access:https://www.mdpi.com/2073-4395/14/12/2795
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