Modeling of cotton yield responses to different irrigation strategies in Southern Xinjiang Region,China

Southern Xinjiang region represents a prototypical oasis agricultural area, and cotton is the primary cash crop. The current cotton water productivity for this area remains room for improvement. In order to refine cotton drip irrigation strategy in Southern Xinjiang, this study combined field experiment with crop model simulation and prediction. In this experiment, two irrigation methods, furrow irrigation and drip irrigation, and different degrees of deficit irrigation were set up. The impacts of soil moisture on cotton yield and quality were assessed, with the additional utilization of the Root Zone Water Quality Model (RZWQM2) for simulating irrigation scenarios and predicting cotton yield field data showed that during the 2021–2022 growing season, drip irrigation significantly increased boll weight, yield, and Water Productivity compared to furrow irrigation. The deficit irrigation with 90 % of full irrigation during the flowering period resulted in the highest yield among all drip irrigation treatments, while simultaneously improving the fiber quality. The RZWQM2 model was calibrated and validated using 2021 and 2022 cotton field experimental data, respectively. The calibrated and verified RZWQM2 model shows good performance. In terms of soil water storage, cotton yield and evapotranspiration. The simulated value output by the model is close to the measured value in the field. Model prediction data suggest that there is still room for improvement in cotton yield, accompanied by an increase in evapotranspiration. But deficit irrigation below 80 % of the full irrigation quotas poses a notable risk of yield reduction. Targeting higher yields, the predicted scenario suggests an increase in water application (irrigation quota:314.8 mm). Additionally, this study proposes irrigation regimes with water savings of 10 % and 20 %, with irrigation quotas of 290.5 mm and 266.5 mm during the growth period, respectively. Based on this study, we provide a more detailed and reliable water-saving scheme for cotton drip irrigation in southern Xinjiang region. • Yield of cotton is increased by 90 % of full irrigation quota drip irrigation during the batting period. • RZWQM2 is used as a decision aid for cotton irrigation in Southern Xinjiang region. • This study establishes cotton irrigation strategies with the highest yield and the better water saving.

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Publication Details

Journal
Agricultural Water Management
Published
2024-08-29
DOI
https://doi.org/10.1016/j.agwat.2024.109018
Citations
23
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
13.79
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article

Modeling of cotton yield responses to different irrigation strategies in Southern Xinjiang Region,China

Yunpeng Zhou, Naikun Kuang, Yunkai Li, Dazhong Liu et al.
23 citations
Agricultural Water Management
Rice Cultivation and Yield Improvement
13.79
article

Modeling of cotton yield responses to different irrigation strategies in Southern Xinjiang Region,China

Yunpeng Zhou, Naikun Kuang, Yunkai Li, Dazhong Liu, Maitusong Maimaitiming, Kasmu Xiaokaitijiang, Chuangchuang Hao
article en
23 citations

Abstract

Southern Xinjiang region represents a prototypical oasis agricultural area, and cotton is the primary cash crop. The current cotton water productivity for this area remains room for improvement. In order to refine cotton drip irrigation strategy in Southern Xinjiang, this study combined field experiment with crop model simulation and prediction. In this experiment, two irrigation methods, furrow irrigation and drip irrigation, and different degrees of deficit irrigation were set up. The impacts of soil moisture on cotton yield and quality were assessed, with the additional utilization of the Root Zone Water Quality Model (RZWQM2) for simulating irrigation scenarios and predicting cotton yield field data showed that during the 2021–2022 growing season, drip irrigation significantly increased boll weight, yield, and Water Productivity compared to furrow irrigation. The deficit irrigation with 90 % of full irrigation during the flowering period resulted in the highest yield among all drip irrigation treatments, while simultaneously improving the fiber quality. The RZWQM2 model was calibrated and validated using 2021 and 2022 cotton field experimental data, respectively. The calibrated and verified RZWQM2 model shows good performance. In terms of soil water storage, cotton yield and evapotranspiration. The simulated value output by the model is close to the measured value in the field. Model prediction data suggest that there is still room for improvement in cotton yield, accompanied by an increase in evapotranspiration. But deficit irrigation below 80 % of the full irrigation quotas poses a notable risk of yield reduction. Targeting higher yields, the predicted scenario suggests an increase in water application (irrigation quota:314.8 mm). Additionally, this study proposes irrigation regimes with water savings of 10 % and 20 %, with irrigation quotas of 290.5 mm and 266.5 mm during the growth period, respectively. Based on this study, we provide a more detailed and reliable water-saving scheme for cotton drip irrigation in southern Xinjiang region. • Yield of cotton is increased by 90 % of full irrigation quota drip irrigation during the batting period. • RZWQM2 is used as a decision aid for cotton irrigation in Southern Xinjiang region. • This study establishes cotton irrigation strategies with the highest yield and the better water saving.

Agricultural Water ManagementVol. 303
Shihezi University (CN), Ministry of Water Resources of the People's Republic of China (CN), Xinjiang Uygur Autonomous Region Education Department (CN), Kashi University (CN), China Agricultural University (CN)
Zero hunger
Openalex Percentile: Top 1%
Rice Cultivation and Yield Improvement
13.79
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