Crops ›› 2024, Vol. 40 ›› Issue (1): 97-103.doi: 10.16035/j.issn.1001-7283.2024.01.013

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Construction and Evaluation of Cotton Yield Model Based on Logistic Model for Filmless Drip Irrigation in Southern Xinjiang

Wang Hongbo1,2(), Tang Maosong1,2, Li Guohui1,2, GaoYang 3(), Wang Xingpeng1,2()   

  1. 1College of Water Resource and Architecture Engineering, Tarim University, Alaer 843300, Xinjiang, China
    2Key Laboratory of Modern Agricultural Engineering, Tarim University, Alaer 843300, Xinjiang, China
    3Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang 453002, Henan, China
  • Received:2022-06-06 Revised:2022-07-12 Online:2024-02-15 Published:2024-02-20
  • Contact: GaoYang ,Wang Xingpeng E-mail:18083915561@163.com;gaoyang@caas.cn;13999068354@163.com

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Abstract:

In order to elucidate the effects of irrigation on growth and yield formation of cotton with filmless drip irrigation, with a two-year field experiments from 2019 to 2020, the Logistic model was adopted to quantify the impactions of different irrigation treatments on dynamics of stem diameter, plant height, and leaf area index of drip-irrigated cotton without film mulching. The growth models were constructed for analyzing the regression relationship between the dynamics of cotton growth and yield and its components, and the cotton yield model also was constructed. The results indicated that the normalized root-mean-square errors (nRMSE) of the measured and simulated values of cotton stem diameter, plant height and leaf area index were all less than 20%, and synergy index (d) and coefficient of determination (R2) were higher than 0.91, suggesting that the Logistic model could accurately describe the growth dynamics of cotton stem diameter, plant height, and leaf area index under different drip irrigation treatments without film mulching. There were significant correlations between yield and maximum value of stem diameter, plant height, leaf area index and water consumption of drip-irrigated cotton without film mulching. The nRMSE, d and R2 of the predicted and measured values of the cotton yield model were 5.11%, 0.88 and 0.62, respectively, and the yield model had high prediction accuracy.

Key words: Filmless drip irrigation, Growth characteristics, Logistic model, Cotton yield

Fig.1

The dynamic change of cotton stem thickness in 2020 (a) and the verification result of the Logistic model of stem thickness in 2019 (b)"

Table 1

Fitting parameters of Logistic model of cotton stem diameter in 2020"

处理
Treatment		 方程参数Equation parameter R2 特征参数Characteristic parameter
a1 b1 c1 V1 max T11 T21 T31
I1 8.28 100.56 0.08 1.00 0.17 57.63 41.17 74.10
I2 9.20 50.70 0.07 1.00 0.16 56.08 37.27 74.90
I3 9.63 62.54 0.07 1.00 0.17 59.08 40.27 77.90
平均Average 9.04 71.27 0.07 1.00 0.17 57.60 39.57 75.63

Fig.2

The dynamic change of cotton plant height in 2020 (a) and the verification result of the Logistic model of plant height in 2019 (b)"

Table 2

Fitting parameters of Logistic model of cotton plant height in 2020"

处理
Treatment		 方程参数Equation parameter R2 特征参数Characteristic parameter
a2 b2 c2 V2max T12 T22 T32
I1 47.90 492.46 0.09 0.98 1.08 68.88 54.25 83.52
I2 68.25 719.17 0.09 0.97 1.54 73.09 58.46 87.72
I3 67.42 533.55 0.09 0.98 1.52 69.77 55.14 84.41
平均Average 61.19 581.73 0.09 0.98 1.38 70.58 55.95 85.22

Fig.3

The dynamic change of cotton leaf area index in 2020 (a) and the verification result of the Logistic model of leaf area index in 2019 (b)"

Table 3

Fitting parameters of Logistic model of cotton leaf area index in 2020"

处理
Treatment		 方程参数Equation parameter R2 特征参数Characteristic parameter
a3 b3 c3 V3max T13 T23 T33
I1 1.87 147 150.31 0.16 0.98 0.07 74.37 66.14 82.60
I2 2.16 49 596.50 0.14 0.99 0.08 77.23 67.82 86.63
I3 2.50 135 216.15 0.16 0.98 0.10 73.84 65.61 82.07
平均Average 2.18 110 654.32 0.15 0.98 0.08 75.15 66.52 83.77

Table 4

Effects of different irrigation treatments on cotton yield and water use efficiency"

年份
Year		 处理
Treatment		 单株铃数
Boll numbers per plant		 单铃质量
Boll mass (g)		 籽棉产量
Seed cotton yield (kg/hm2)		 耗水量
Water consumption (mm)		 WUEI
(kg/m3)		 WUEET
(kg/m3)
2019 I1 6.26b 5.06a 5278.80b 412.73c 1.47a 1.28a
I2 6.39b 5.16a 5489.40b 489.19b 1.22b 1.12b
I3 6.82a 5.28a 5999.49a 561.57a 1.11c 1.07b
2020 I1 4.73c 5.00a 4787.70c 386.06c 1.33a 1.24a
I2 5.01b 5.18a 5509.35b 467.07b 1.22b 1.18b
I3 5.73a 5.01a 6086.85a 565.03a 1.11c 1.08c

Table 5

Correlation analysis of cotton growth and yield under different irrigation treatments"

指标Index Dmax Hmax LAImax ET Y
Dmax 1.00
Hmax 0.81** 1.00
LAImax 0.79** 0.89** 1.00
ET 0.81** 0.83** 0.96** 1.00
Y 0.81** 0.88** 0.97** 0.97** 1.00

Fig.4

Results of parameter adjustment of cotton yield model"

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