UAV-based phenotyping identifies net assimilation rate as a diagnostic trait for synergistic enhancement of rice yield and grain quality

UAV-based phenotyping identifies net assimilation rate as a diagnostic trait for synergistic enhancement of rice yield and grain quality

Achieving rice yield-quality synergy, which is critical for breeding and agronomic practice, is hindered by dynamic regulatory gaps due to methodological constraints, while high-throughput unmanned aerial vehicle (UAV) phenotyping can enable breakthroughs by decoding dynamic traits at scale. This st...

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Bibliographic Details
Main Authors: Weiyuan Hong, Xiangqian Feng, Ziqiu Li, Jinhua Qin, Huaxing Wu, Yunbo Zhang, Guang Chu, Chunmei Xu, Kai Yu, Yuanhui Liu, Danying Wang, Song Chen
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Crop and Environment
Subjects:
Grain quality
Net assimilation rate
Phenotyping
Rice
Unmanned aerial vehicle
Yield
Online Access:http://www.sciencedirect.com/science/article/pii/S2773126X25000243
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