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Simulating Growth and Evaluating the Regional Adaptability of Cotton Fields with Non-Film Mulching in Xinjiang

Author

Listed:
  • Desheng Wang

    (College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
    Southern Xinjiang Research Center for Information Technology in Agriculture, Tarim University, Alar 843300, China)

  • Chengkun Wang

    (Southern Xinjiang Research Center for Information Technology in Agriculture, Tarim University, Alar 843300, China)

  • Lichao Xu

    (Southern Xinjiang Research Center for Information Technology in Agriculture, Tarim University, Alar 843300, China)

  • Tiecheng Bai

    (Southern Xinjiang Research Center for Information Technology in Agriculture, Tarim University, Alar 843300, China)

  • Guozheng Yang

    (College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

Planting with non-film mulching is the fundamental means to eliminate the pollution of residual film in cotton fields. However, this planting approach should have regional adaptability. Therefore, the calibrated WOFOST model and an early mature cultivar CRI619 ( Gossypium hirsutum Linn ) were employed to simulate the cotton growth, and regions were then evaluated for planting in Xinjiang. A field experiment was conducted in 2019–2020 at the experimental irrigation station of Alar City, and the data were used to calibrate and validate the WOFOST model. The field validation results showed that the errors of the WOFOST simulation for emergence, flowering, and maturity were +1 day, +2 days, and +1 day, respectively, with good simulation accuracy of phenological development time. The simulated WLV, WST, WSO, and TAGP agreed well with measured values, with R 2 = 0.96, 0.97, 0.99, and 0.99, respectively. The RMSE values of simulated versus measured WLV, WST, WSO, and TAGP were 175, 210, 199, and 251 kg ha −1 , and showed high accuracy. The simulated soil moisture (SM) agreed with the measured value, with R 2 = 0.87. The calibration model also showed high SM simulation accuracy, with RMSE = 0.022 (cm 3 cm −3 ). Under all treatments, the simulated TAGP and yield agreed well with the measured results, with R 2 of 0.76 and 0.70, respectively. RMSE of simulated TAGP and yield was 465 and 200 kg ha −1 , and showed high accuracy. The percentage RMSE values (ratio of RMSE to the average measured value, NRMSE) of E T a and WUE were 9.8% and 11.7%, indicating extremely high precision (NRMSE < 10%) and high precision (10% < NRMSE ≤ 20%), respectively. The simulated results for phenology length at the regional scales showed that the effective accumulation temperature in counties such as Yingjisha and Luntai was not enough for the phenological maturity of the studied cotton cultivar. The southern area of Xinjiang had a generally higher yield than the northern area but required more irrigation. This research can provide a method for evaluating the adaptability of filmless cultivation techniques for cotton in different counties.

Suggested Citation

  • Desheng Wang & Chengkun Wang & Lichao Xu & Tiecheng Bai & Guozheng Yang, 2022. "Simulating Growth and Evaluating the Regional Adaptability of Cotton Fields with Non-Film Mulching in Xinjiang," Agriculture, MDPI, vol. 12(7), pages 1-20, June.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:7:p:895-:d:843659
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    References listed on IDEAS

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    2. Chengkun Wang & Nannan Zhang & Mingzhe Li & Li Li & Tiecheng Bai, 2022. "Pear Tree Growth Simulation and Soil Moisture Assessment Considering Pruning," Agriculture, MDPI, vol. 12(10), pages 1-26, October.
    3. Wang, Hongbo & Li, Guohui & Huang, Weixiong & Li, Zhaoyang & Wang, Xingpeng & Gao, Yang, 2024. "Compensation of cotton yield by nitrogen fertilizer in non-mulched fields with deficit drip irrigation," Agricultural Water Management, Elsevier, vol. 298(C).

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