Combining UAV-RGB high-throughput field phenotyping and genome-wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stress

Combining UAV-RGB high-throughput field phenotyping and genome-wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stress

© 2021 The Authors. New Phytologist © 2021 New Phytologist Foundation.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1979. - 232(2021), 1 vom: 24. Okt., Seite 440-455
1. Verfasser: Jiang, Zhao (VerfasserIn)
Weitere Verfasser: Tu, Haifu, Bai, Baowei, Yang, Chenghai, Zhao, Biquan, Guo, Ziyue, Liu, Qian, Zhao, Hu, Yang, Wanneng, Xiong, Lizhong, Zhang, Jian
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article Research Support, Non-U.S. Gov't GWAS deep convolutional neural networks (DCNNs) drought stress leaf-rolling score plant water content unmanned aerial vehicle (UAV)
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