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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Autori principali: Weiyuan Hong, Xiangqian Feng, Ziqiu Li, Jinhua Qin, Huaxing Wu, Yunbo Zhang, Guang Chu, Chunmei Xu, Kai Yu, Yuanhui Liu, Danying Wang, Song Chen
Natura: Articolo
Lingua:inglese
Pubblicazione: Elsevier 2025-09-01
Serie:Crop and Environment
Soggetti:
Accesso online:http://www.sciencedirect.com/science/article/pii/S2773126X25000243
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!