Abstract
Dwindling water resources and weather variability present two of the major limiting factors for irrigated cotton production in the Southern Great Plains (SGP) of the United States. Under these conditions, there is a dire need to understand the trends and fluctuations in cotton yields to help producers make better irrigation and crop management decisions. Crop models coupled with long-term weather data provide an opportunity for evaluating yield variabilities by simulating numerous potential scenarios. In this study, the AquaCrop model was calibrated and validated for cotton at two sites in the SGP. The validated model was then applied to investigate the effect of variable irrigation capacity (IC) on cotton yield during a 33-year period (1981–2013). The AquaCrop model performed with acceptable accuracy for simulating canopy cover, soil water content, evapotranspiration and yield indicating that it is a potential tool for evaluating variable cotton irrigation scenarios in the SGP. The response of cotton yield to IC was highly dependent on heat unit availability. Yields increased significantly with increase in water availability in years when total growing season heat units were above 1100 °C day. The yield response to irrigation diminished considerably as the magnitude of growing season heat units decreased. No significant increase in mean cotton yield was found at IC higher than 0.3 L s−1 ha−1.
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References
Adhikari P, Gowda P, Marek G, Brauer D, Kisekka I, Northup B, Rocateli A (2017) Calibration and validation of CSM-CROPGRO-cotton model using lysimeter data in the Texas High Plains. J Contemp Water Res Educ. https://doi.org/10.1111/j.1936-704x.2017.03260.x
Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO, Rome. ISBN 92-5-104219-5
Baumhardt RL, Staggenborg SA, Gowda PH, Colaizzi PD, Howell TA (2009) Modeling irrigation management strategies to maximize cotton lint yield and water use efficiency. Agron J. https://doi.org/10.2134/agronj2008.0041xs
Baumhardt RL, Schwartz RC, Marek GW, Bell JM (2018) Planting geometry effects on the growth and yield of dryland cotton. AS. https://doi.org/10.4236/as.2018.91008
Chamaki S, Taghvaeian S, Zhang H, Warren JG (2019) Soil salinity variations in an irrigation scheme during a period of extreme dry and wet cycles. Soil Syst. https://doi.org/10.3390/soilsystems3020035
Colaizzi PD, Gowda PH, Marek TH, Porter DO (2009) Irrigation in the Texas High Plains: a brief history and potential reductions in demand. Irrig Drain. https://doi.org/10.1002/ird.418
DeLaune PB, Sij JW, Park SC, Krutz LJ (2012) Cotton production as affected by irrigation level and transitioning tillage systems. Agron J. https://doi.org/10.2134/agronj2011.0420
Douglas-Mankin KR (2018) Current research in land, water, and agroecosystems: ASABE Journals 2017 year in review. Trans ASABE. https://doi.org/10.13031/trans.12821
Esparza A, Gowda PH, Baumhardt RL, Marek TH, Howell TA (2007) Heat unit availability for cotton production in the Ogallala Aquifer region of the United States. J Cotton Sci 11:110–117
Evett SR, Tolk JA (2009) Introduction: can water use efficiency be modeled well enough to impact crop management? Agron J. https://doi.org/10.2134/agronj2009.0038xs
Evett SR, Colaizzi PD, O’Shaughnessy SA, Lamm FR, Trout TJ, Kranz WL (2014) The future of irrigation on the US Great Plains. In: Proceedings of 26th annual central plains irrigation conference
Farahani HJ, Izzi G, Oweis TY (2009) Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agron J. https://doi.org/10.2134/agronj2008.0182s
García-Vila M, Fereres E, Mateos L, Orgaz F, Steduto P (2009) Deficit irrigation optimization of cotton with AquaCrop. Agron J. https://doi.org/10.2134/agronj2008.0179s
Geerts S, Raes D (2009) Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas. Agric Water Manag. https://doi.org/10.1016/j.agwat.2009.04.009
Gowda PH, Baumhardt RL, Esparza AM, Marek TH, Howell TA (2007) Suitability of cotton as an alternative crop in the Ogallala Aquifer region. Agron J. https://doi.org/10.2134/agronj2006.0275
Handa D, Frazier R, Taghvaeian S, Warren J (2019) The efficiencies, environmental impacts and economics of energy consumption for groundwater-based irrigation in Oklahoma. Agriculture. https://doi.org/10.3390/agriculture9020027
Heng LK, Hsiao T, Evett S, Howell T, Steduto P (2009) Validating the FAO AquaCrop model for irrigated and water deficient field maize. Agron J. https://doi.org/10.2134/agronj2008.0029xs
Howell TA, Evett SR, Tolk JA, Schneider AD (2004) Evapotranspiration of full-, deficit-irrigated, and dryland cotton on the Northern Texas High Plains. J Irrig Drain Eng. https://doi.org/10.1061/(asce)0733-9437(2004)130:4(277)
Hussein F, Janat M, Yakoub A (2011) Simulating cotton yield response to deficit irrigation with the FAO AquaCrop model. Span J Agric Res. https://doi.org/10.5424/sjar/20110904-358-10
Jamieson P, Porter J, Wilson D (1991) A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand. Field Crops Res. https://doi.org/10.1016/0378-4290(91)90040-3
Krueger ES, Yimam YT, Ochsner TE (2017) Human factors were dominant drivers of record low streamflow to a surface water irrigation district in the US Southern Great Plains. Agric Water Manag. https://doi.org/10.1016/j.agwat.2017.01.018
Li F, Yu D, Zhao Y (2019) Irrigation scheduling optimization for cotton based on the AquaCrop model. Water Resour Manag. https://doi.org/10.1007/s11269-018-2087-1
Liu J, Wiberg D, Zehnder AJB, Yang H (2007) Modeling the role of irrigation in winter wheat yield, crop water productivity, and production in China. Irrig Sci. https://doi.org/10.1007/s00271-007-0069-9
Mahan J, Payton P (2018) Design and implementation of a rainfed matrix for cotton. Agriculture. https://doi.org/10.3390/agriculture8120193
Marek T, Bordovsky D (2006) Performance of ten cotton varieties in the Northern Texas High Plains. Tex J Agric and Nat Resour 19:48–61
Marek GW, Marek TH, Xue Q, Gowda PH, Evett SR, Brauer DK (2017a) Simulating evapotranspiration and yield response of selected corn varieties under full and limited irrigation in the Texas High Plains using DSSAT-CERES-maize. Trans ASABE. https://doi.org/10.13031/trans.12048
Marek GW, Gowda PH, Marek TH, Porter DO, Baumhardt RL, Brauer DK (2017b) Modeling long-term water use of irrigated cropping rotations in the Texas High Plains using SWAT. Irrig Sci. https://doi.org/10.1007/s00271-016-0524-6
Masasi B (2019) Evaluating the impacts of variable irrigation management strategies on the performance of cotton and grain sorghum using monitoring and modeling techniques. Dissertation, Oklahoma State University
Masasi B, Taghvaeian S, Boman R, Datta S (2019a) Impacts of irrigation termination date on cotton yield and irrigation requirement. Agriculture. https://doi.org/10.3390/agriculture9020039
Masasi B, Taghvaeian S, Gowda PH, Warren J, Marek G (2019b) Simulating soil water content, evapotranspiration, and yield of variably irrigated grain sorghum using AquaCrop. J Am Water Resour Assoc. https://doi.org/10.1111/1752-1688.12757
Mittelstet A, Storm D, Stoecker A (2015) Using SWAT to simulate crop yields and salinity levels in the North Fork River Basin. Int J Agric Biol Eng, USA
Morrow MR, Krieg DR (1990) Cotton management strategies for a short growing season environment: water-nitrogen considerations. Agron J. https://doi.org/10.2134/agronj1990.00021962008200010011x
Nair S, Maas S, Wang C, Mauget S (2013) Optimal field partitioning for center-pivot-irrigated cotton in the Texas High Plains. Agron J. https://doi.org/10.2134/agronj2012.0219
Parameter-Elevation Relationships on Independent Slopes Model (PRISM) (2019) Time series values for individual locations. http://www.prism.oregonstate.edu/explorer/. Accessed 10 Mar 2019
Parton WJ, Gutmann MP, Ojima D (2007) Long-term trends in population, farm income, and crop production in the great plains. Bioscience. https://doi.org/10.1641/b570906
Peng S, Krieg D, Hicks S (1989) Cotton lint yield response to accumulated heat units and soil water supply. Field Crops Res. https://doi.org/10.1016/0378-4290(89)90097-x
Qiao X, Farahani HJ, Khalilian A, Barnes EM (2016) Cotton water productivity and growth parameters in the humid southeast: experimentation and modeling. Trans ASABE. https://doi.org/10.13031/trans.59.11601
Raes D, Steduto P, Hsiao TC, Fereres E (2009) Cotton water productivity and growth parameters in the humid southeast: experimentation and modeling. Trans ASABE. https://doi.org/10.13031/trans.59.11601
Raes D, Steduto P, Hsiao T, Fereres E (2012) AquaCrop version 6.0. Reference manual. FAO, Rome
Shafer M, Ojima D, Antle J, Kluck D, McPherson R, Petersen S, Scanlon B, Sherman K (2014) Ch. 19: great plains. In: Melillo JM, Richmond TC, Yohe GW (eds) Climate change impacts in the United States: the third national climate assessment. U.S. Global Change Research Program, Washington, DC, pp 441–461. https://doi.org/10.7930/j0z31wj2
Steduto P, Hsiao TC, Raes D, Fereres E (2012) Crop yield response to water. FAO, Rome
Steiner JL, Schneider JM, Pope C, Pope S, Ford P, Steele RF (2015) Southern plains assessment of vulnerability and preliminary adaptation and mitigation strategies for farmers, ranchers, and forest land owners. United States Department of Agriculture
Steiner JL, Briske DD, Brown DP, Rottler CM (2018) Vulnerability of Southern Plains agriculture to climate change. Clim Change. https://doi.org/10.1007/s10584-017-1965-5
Taghvaeian S, Fox G, Boman R, Warren J (2015) Evaluating the impact of drought on surface and groundwater dependent irrigated agriculture in Western Oklahoma. In: 2015 ASABE/IA irrigation symposium: emerging technologies for sustainable irrigation—a tribute to the career of Terry Howell, Sr. conference Proceedings. ASABE
Tan S, Wang Q, Zhang J, Chen Y, Shan Y, Xu D (2018) Performance of AquaCrop model for cotton growth simulation under film-mulched drip irrigation in southern Xinjiang. Agric Water Manag, China. https://doi.org/10.1016/j.agwat.2017.11.001
Tolk JA, Howell TA (2010) Cotton water use and lint yield in four great plains soils. Agron J. https://doi.org/10.2134/agronj2009.0398
Vanuytrecht E, Raes D, Steduto P, Hsiao TC, Fereres E, Heng LK, Garcia Vila M, Mejias Moreno P (2014) AquaCrop: FAO’s crop water productivity and yield response model. Environ Model Softw. https://doi.org/10.1016/j.envsoft.2014.08.005
Willcutt MH, Buschermohle MJ, Huitink GW, Barnes EM, Wanjura JD, Searcy SW (2010) The Spindle type cotton harvester. Texas A&M Agrilife Research and Extension Center, Lubbuck
Yang J, Yang J, Liu S, Hoogenboom G (2014) An evaluation of the statistical methods for testing the performance of crop models with observed data. Agric Syst. https://doi.org/10.1016/j.agsy.2014.01.008
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This study was partially funded by Cotton Incorporated, Oklahoma State Program under Project number 15-657OK.
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Masasi, B., Taghvaeian, S., Gowda, P.H. et al. Validation and application of AquaCrop for irrigated cotton in the Southern Great Plains of US. Irrig Sci 38, 593–607 (2020). https://doi.org/10.1007/s00271-020-00665-4
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