Assessing the impacts of irrigation termination periods on cotton productivity under strategic deficit irrigation regimes

Himanshu, Sushil Kumar; Ale, Srinivasulu; Bordovsky, James P.; Kim, Jung-Jin; Samanta, Sayantan; Omani, Nina; Barnes, Edward M.

doi:10.1038/s41598-021-99472-w

Cited by 19 publications

(12 citation statements)

References 59 publications

(72 reference statements)

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“…(2020) and Himanshu et al. (2021) concluded the optimal time for terminating irrigation in western Texas was between 111 DAP and 125 DAP. In some cases, this window would occur soon after cutout, depending on environmental factors.…”

Section: Resultsmentioning

confidence: 99%

“…To determine the optimal time to terminate irrigation in cotton, one could utilize the developmental stages of the crop as a guide. Strategies utilized to track development include using calendar dates, heat unit accumulation, and visual staging of crop development (Himanshu et al, 2021;Lascano et al, 2017;Plumblee et al, 2021). In the High Plains Region of Texas, Ale et al (2020) investigated the optimum irrigation termination periods for full and deficit irrigation strategies in dry, normal, and wet years using the…”

Section: Introductionmentioning

confidence: 99%

“…Bars represent means ± standard error (n = 12), and bars not sharing a common letter within a given year are considered significantly different (p ≤ 0.05).2007) Ale et al (2020). andHimanshu et al (2021) concluded the optimal time for terminating irrigation in western Texas was between 111 DAP and 125 DAP. In some cases, this window would occur soon after cutout, depending on environmental factors.Lascano et al (…”

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confidence: 99%

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Effect of irrigation termination times on cotton cultivars with contrasting maturities

Lawson,

Snider,

Hand

et al. 2023

Agronomy Journal

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Optimizing irrigation termination time can save water and preserve lint yield and fiber quality in cotton. Although there is currently an irrigation termination recommendation in Georgia, the ideal time for termination could be influenced by cultivar differences in maturity. The hypotheses of this study were that differential irrigation termination times will affect lint yield, fiber quality, and incidence of hardlock and boll rot, and responses will be dependent on cultivar differences in maturity. In 2021 and 2022, a study was conducted in Camilla, GA using two cotton cultivars with contrasting maturities under four irrigation termination treatments. Irrigation was terminated at cutout, 1st open boll, two weeks after 1st open boll, and four weeks after 1st open boll. Measurements included plant growth, cutout date, lint yield, irrigation water use efficiency (IWUE), fiber quality, and incidence of boll diseases. Gas exchange measurements and percent open boll estimates at each irrigation termination time were also conducted. Terminating irrigation at cutout, did not significantly affect yield in either year; however, IWUE increased 12.6% relative to current recommendations and 13.2% relative to the latest termination time in the 2022 season. Cultivars differed significantly in cutout date, agronomic maturity, gas exchange rates, yield, hardlock/boll rot incidence, and fiber quality. However, there was no interaction between cultivar and irrigation termination time for any parameter. We conclude that irrigation can be terminated at cutout to maximize IWUE, for early and late‐maturing cultivars, without limiting yield or fiber quality, assuming a water‐replete soil profile at termination.This article is protected by copyright. All rights reserved

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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Effect of irrigation termination times on cotton cultivars with contrasting maturities

Lawson,

Snider,

Hand

et al. 2023

Agronomy Journal

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“…Given the optimal parameters, the calibrated model outputs were validated through observed vs. modeled comparisons over varying periods during 2015-2020. Additional details of this process and the validation statistics and methods used can be found in Himanshu et al (2021) and H22.…”

Section: Model Calibrationmentioning

confidence: 99%

Modeling management of continuous dryland cotton with an intervening winter wheat cover crop in a semiarid climate

Mauget¹,

Himanshu²,

Goebel³

et al. 2022

Front. Sustain. Food Syst.

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Although winter cover crop residue can mitigate the stresses of dryland production in semi-arid regions, cover crops can also reduce soil moisture and cash crop yields. In some field studies of dryland cotton grown after terminated winter wheat in the U.S. Southern High Plains (SHP) and Texas Rolling Plains cotton yields were increased relative to continuous cotton, while others had no significant yield or soil water effect. These uncertain outcomes may be due to the trial's limited sampling of seasonal rainfall conditions. To estimate the probabilities of cover crop effects under more representative SHP climate conditions, 294 station-years of crop model simulations of terminated winter wheat followed by dryland cotton were conducted. These simulations were driven by weather data from 21 SHP weather stations during 2005–2019. Each station-year's simulations were repeated under 54 combinations of wheat planting, termination, and cotton planting dates, 2 soil series with different water capacities, and 10 initial soil moisture conditions. When simulations begin with fall soil moisture at field capacity optimal management options for both soils plant wheat early and cotton late, but have different wheat termination dates. Before cotton planting winter cover crop effects are dominated by reduced surface evaporation and increased transpiration, with greater transpiration effects producing decreased column soil moisture (CSM) at wheat termination. Some soil moisture recharge occurs between termination and cotton planting, but cover crops reduce CSM at cotton planting in both soils in ~75% of simulations. Reduced soil evaporation and soil moisture recovery continues after cotton planting, resulting in positive effects on seed cotton yield in 50% of the silty clay loam simulations and in 67% of the fine sandy loam simulations. Gradually reducing initial fall soil moisture in the silty clay loam reduces wheat biomass but increases the incidence of positive effects on seed cotton yields and CSM at cotton planting and harvest. By contrast, drier initial soil moisture in the fine sandy loam had relatively minor yield and CSM effects. In both soils terminated wheat residue led to increased CSM at cotton harvest in at least 70% of the simulations regardless of soil moisture at wheat planting.

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“…CROPGRO-Cotton was also employed to simulate the effects of agronomic practices and climate change on cotton growth and evapotranspiration [43], and to evaluate the climate change impact on water use efficiency [44]. CROPGRO-Cotton can help cotton managers make management decisions to minimize risks associated with environmental changes and optimize the effective use of limited resources [14,19,45]. The World Food Studies (WOFOST) model, jointly developed by Wageningen Agricultural University and the World Food Research Center, is the earliest application-oriented dynamic and mechanistic explanatory model for simulating annual crop growth under specific climate and soil conditions.…”

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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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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Assessing the impacts of irrigation termination periods on cotton productivity under strategic deficit irrigation regimes

Cited by 19 publications

References 59 publications

Effect of irrigation termination times on cotton cultivars with contrasting maturities

Effect of irrigation termination times on cotton cultivars with contrasting maturities

Modeling management of continuous dryland cotton with an intervening winter wheat cover crop in a semiarid climate

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

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