Claim · model-written summary
Warming predicted a cotton yield decrease of 1.4% per decade.
- Treatment
- temperature increasee0
- Outcome
- yielde0
- Direction
- decreasee0
- Value
- 1.4% decade -1e0
- Setting
- Xinjiange0
Not reportedTaxon
Verbatim
e0“predicted yield decrease of 1.4% decade -1 in Xinjiang due to a significant temperature increase of 0.37°C decade -1”
Title
Adnan Arshad; Yue Zhang; Pengzhong Zhang; et al. Smart Agricultural Technology 2025. doi:10.1016/j.atech.2025.101325
Other claims from this paper (13)
- Method / resource Model sowing to emergence error was ±2.7 days.
- Method / resource Model sowing to squaring error was ±5.3 days.
- Method / resource Model squaring to flowering error was ±6.6 days.
- Method / resource Model flowering to boll open error was ±3.8.
- Method / resource Model boll open to maturity error was ±4.8 days.
- Observation Temperature increased by 0.37°C per decade.
- Association Interannual temperature variability influenced cotton growth and yield most among climate factors.
- Intervention effect Simulated sowing dates extended the growth period and improved resource optimization.
- Association Sowing to emergence shortened by 3.14 days per degree of warming.
- Association Emergence to flowering shortened by 2.15 days per degree of warming.
- Association Flowering to boll open shortened by 2.09 days per degree of warming.
- Association Full crop maturity phase shortened by 1.17 days per degree of warming.
- Recommendation The authors recommend cotton sowing from 15 to 25 April to increase yield.