Optimizing Sunflower Cultivar Selection Under Climate Variability: Evidence from Coupled Meteorological-Growth Modeling in Arid Northwest China

Optimizing Sunflower Cultivar Selection Under Climate Variability: Evidence from Coupled Meteorological-Growth Modeling in Arid Northwest China

Under the scenario of global climate warming, meteorological risks affecting sunflower cultivation in Xinjiang’s 10th Division were investigated by developing a meteorological-growth coupling model. Field experiments were conducted at three representative stations (A1–A3) during 2023–2024 to assess...

Full description

Saved in:
Bibliographic Details
Main Authors: Jianguo Mu, Jianqin Wang, Ruiying Ma, Zengshuai Lv, Hongye Dong, Yantao Liu, Wei Duan, Shengli Liu, Peng Wang, Xuekun Zhang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agronomy
Subjects:
sunflower growth period
meteorological sensitivity
grain quality
Online Access:https://www.mdpi.com/2073-4395/15/7/1724
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-4395/15/7/1724

Similar Items