Simulating Cotton Growth and Productivity Using AquaCrop Model under Deficit Irrigation in a Semi-Arid Climate

Aziz, Marjan; Rizvi, Sultan Ahmad; Sultan, Muhammad; Bazmi, Muhammad Sultan Ali; Shamshiri, Redmond R.; Ibrahim, Sobhy M.; Imran, Muhammad Ali

doi:10.3390/agriculture12020242

Cited by 18 publications

(15 citation statements)

References 28 publications

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“…AquaCrop is a valuable tool in predicting cotton yield under different irrigation scenarios. The coefficient of determination (R 2 ) in this research is lower than that in the research results of [28] (R 2 = 0.976 and 0.950), [29] (R 2 = 0.92 and 0.90), and [21] (R 2 = 0.92 and 0.90). However, the modeling accuracy is higher than that in the research results of [28] (RMSE = 666 and 999 kg ha −1 ), [29] (RMSE = 1.19 and 0.25 kg ha −1 ) and [21] (RMSE = 810 and 751 kg ha −1 ).…”

Section: Simulation Performance Analysis Of the Calibrated Wofost Mod...contrasting

confidence: 83%

“…Although there are some differences in the simulated methods, details, and yield components of existing cotton models, the main processes include phenology, light energy interception, carbon (C) assimilation, respiration, organ formation, biomass accumulation and distribution, and stress factor simulation [13]. These models have been used in irrigation management [14][15][16][17][18][19][20][21] and water use efficiency evaluation [22][23][24], assessment of effects of deficit irrigation on cotton growth and yield [25][26][27][28], evaluation of saline water irrigation on cotton growth and yield [29], nitrogen and phosphorus dynamics and fertilization management [14,30,31], fiber quality, embryo oil and protein accumulation simulation [32][33][34], and topping management [35].…”

Section: Introductionmentioning

confidence: 99%

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

Wang

et al. 2022

Agriculture

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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 R2 = 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 R2 = 0.87. The calibration model also showed high SM simulation accuracy, with RMSE = 0.022 (cm3 cm−3). Under all treatments, the simulated TAGP and yield agreed well with the measured results, with R2 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 ETa 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.

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Section: Simulation Performance Analysis Of the Calibrated Wofost Mod...contrasting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

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

Wang

et al. 2022

Agriculture

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“…Moreover, improved on-farm water management practices could reduce the non-beneficial uses of water to crops, such as percolation and evaporation from the fields, and also maintain yields and contribute to resource management (water and fertilizer) [45]. For instance, obtaining similar cotton yields with lower applied water (i.e., under controlled deficit irrigating scenarios), in comparison with the current over-irrigation practices, has been reported in Pakistan, and under various agro-ecological conditions [46][47][48], because it is attributed to the curvilinear relationship between cotton yield and applied water [49].…”

Section: Discussionmentioning

confidence: 99%

Assessing Barriers in Adaptation of Water Management Innovations under Rotational Canal Water Distribution System

et al. 2022

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This study assessed problems associated with irrigation water provisions and the potential barriers to the adaptation of the interventions (soil moisture sensors, on-farm water storage facilities and the drip method) under rotational canal water distribution in Punjab, Pakistan. Three groups of stakeholders were individually surveyed during September–December 2020: (i) 72 farmers, (ii) 15 officials, and (iii) 14 academicians. We used descriptive statistical analysis, cross-tabulation and the Fisher test to explore the pattern of responses across the groups. The main problems in the canal water distribution system were expressed by the farmers as limited water allocation, while academicians were concerned mostly with inflexibility and officials indicated discussion among neighbors. According to the farmers' responses, the conventional depth/interval of irrigation is flooding the field with water and observing the plants, indicating over-irrigation behavior. Moreover, the most important barriers in the adaptation of the interventions that were highly rated by the three groups were low awareness, lack of training and financial resources. Additionally, farmers’ education revealed a statistically significant influence on awareness of soil moisture sensors and water storage facilities, while large farm holders showed a positive relationship to conducting a joint experiment with scientists and farmers’ associations on part of their land to improve water use efficiency.

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“…Pakistan has two cropping seasons i.e., Kharif and Rabi for the production of crops. Major crops produced in the Kharif season are bajra, sugarcane, rice, moong, mash, maize, jowar, and cotton while wheat, masoor, and barley crops are produced in the Rabi season to accomplish the nutritional demands [24]. Figure 3 shows temporal Agrovoltaic and Smart Irrigation: Pakistan Perspective DOI: http://dx.doi.org/10.5772/intechopen.106973 variation in production capacity of major crops for both Kharif and Rabi seasons in Pakistan from 2000 to 2020.…”

Section: Agro-production Scenario In Pakistanmentioning

confidence: 99%

Agrovoltaic and Smart Irrigation: Pakistan Perspective

Asfahan¹,

Ahmad²,

Majeed³

et al. 2023

Irrigation and Drainage - Recent Advances

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The present study aims to investigate the prospects and challenges that need to be encountered for the adaptation of the novel agrovoltaic irrigation system (AVIS) in Pakistan. The agro-production scenario in Pakistan is periodically declining and leading toward the high delta crops, which develop severe pressure on the conventional energy and water resources. Groundwater might be a viable water source, but its pumping requires massive energy. In addition, excessive pumping declines the water table at a higher pace as compared to the recharge rate hence leading the country toward the exploitation of the valuable reservoir. The AVIS could be an energy-efficient and reliable irrigation solution in a manner of harvesting solar energy for driving smart irrigation systems capable to pumps the metered groundwater according to field requirements. Lack of local understanding, skilled/technical personnel, dependence on local technology, and major capital expenditures might impede technological adaption. The government should take necessary measures to replenish the groundwater reservoirs and also execute research projects that strengthen ground knowledge of AVIS.

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Simulating Cotton Growth and Productivity Using AquaCrop Model under Deficit Irrigation in a Semi-Arid Climate

Cited by 18 publications

References 28 publications

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

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

Assessing Barriers in Adaptation of Water Management Innovations under Rotational Canal Water Distribution System

Agrovoltaic and Smart Irrigation: Pakistan Perspective

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