Cited by 52Irrigation Practices and Water ManagementWater resources management and optimizationClimate change impacts on agriculture

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Modeling Irrigation Management Strategies to Maximize Cotton Lint Yield and Water Use Efficiency

Abstract

Increasing pumping costs and declining well capacities in the Southern High Plains compel producers to seek irrigation strategies to maximize yield and water use efficiency (WUE), which is the ratio of yield to evapotranspiration (ET). Cotton (Gossypium hirsutum L.) is suited to deficit irrigation using wells ranging from 0.29 to 0.93 L s⁻¹ ha⁻¹ capacity to supply limited, 2.5 mm d⁻¹, to complete, 8.1 mm d⁻¹ ET replacement. Our objectives were to (i) evaluate irrigation capacity and duration effects on lint yield, and (ii) compare application strategies that maximize yield and WUE. The simulation model GOSSYM was used with 1959 to 2000 weather records from Bushland, TX, to calculate yields of cotton grown on a Pullman clay loam (fine, mixed, superactive, thermic Torrertic Paleustoll) with 50 or 100% initial available soil water. We compared all combinations of irrigation duration (4, 6, 8, and 10 wk) and capacity (for ET replacement of 2.5, 3.75, and 5.0 mm d⁻¹ and dryland). Simulated lint yield decreased as irrigation decreased; however, yields for similar irrigation totals increased with increasing irrigation capacity. Simulated yields for cotton irrigated > 8 wk did not differ among irrigation capacities, but cotton irrigated at 5.0 mm d⁻¹ maintained yield with earlier irrigation termination at 6 wk. Based on mean yields, we determined that spreading water to deficit irrigate a field with 2.5 mm d⁻¹ yielded ∼5% less lint than concentrating that water to irrigate smaller fi…

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Crossref · 10.2134/agronj2008.0041xs

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Research works printed but not linked: 27

  1. Barfield B.J., 1981, Applied Hydrology and sedimentology for disturbed areas
  2. Baumhardt R.L., 2002, Assessing limited growing season production risk to dryland cotton using GOSSYM crop growth simulation
  3. 10.2134/agronj2005.0156 · DOI
  4. 10.2134/agronj2006.0092 · DOI
  5. 10.2136/sssaj2003.1428 · DOI
  6. Colaizzi P.D., 2004, High Plains Groundwater Resources: Challenges and Opportunities, Conf, 154
  7. Dennehy K.F. High Plains regional ground‐water study: USGS Fact Sheet FS‐091–00. Available athttp://co.water.usgs.gov/nawqa/hpgw/factsheets/DENNEHYFS1.html[accessed 25 Apr. 2008; updated 19 Feb. 2009; verified 19 Feb. 2009] U.S. Geological Survey Lincoln NE.2000 · DOI
  8. Doorenbos J., 1979, Yield response to water
  9. 10.2134/agronj1992.00021962008400040025x · DOI
  10. 10.2134/agronj1984.00021962007600010023x · DOI
  11. 10.2134/agronj1984.00021962007600010024x · DOI
  12. Hake K., 1991, Cotton nutrition‐N, P and K, Cotton Physiol. Today, 2, 1
  13. 10.2134/agronj2001.932281x · DOI
  14. Howell T.A., 2003, Encyclopedia of water science, 467
  15. McGuire V.L.Water‐level changes in the High Plains Aquifer predevelopment to 2002 1980 to 2002 and 2001 to 2002. USGS Fact Sheet FS‐2004–3026. Available athttp://pubs.usgs.gov/fs/2004/3026/[modified 18 Aug. 2005; accessed 25 Apr. 2008; verified 19 Feb. 2009] U.S. Geological Survey Denver CO.2004 · DOI
  16. 10.1016/0378-4290(82)90034-X · DOI
  17. 10.2134/agronj1990.00021962008200010011x · DOI
  18. Musick J.T., 1966, Grain sorghum irrigation‐water management on Richfield and Pullman soils, Trans. ASAE, 9, 369, 10.13031/2013.39981 · DOI
  19. 10.2134/agronj1992.00021962008400040031x · DOI
  20. Pittman E.G., 2007, Water for Texas
  21. SAS Institute, 1988, SAS/STAT user's guide
  22. 10.13031/2013.3001 · DOI
  23. 10.2134/agronj1996.00021962008800050010x · DOI
  24. 10.1016/0378-4290(86)90054-7 · DOI
  25. Unger P.W., 1975, Sorghum research in the Northern High Plains of Texas—1974, 43
  26. Wanjura D.F., 1981, Modeling cotton lint development, Trans. ASAE, 24, 496, 10.13031/2013.34283 · DOI · Paper page
  27. Wanjura D.F., 2000, Canopy temperature characteristics of corn and cotton water status, Trans. ASAE, 43, 867, 10.13031/2013.2982 · DOI

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Metadata

Authors
Baumhardt, R. L., Staggenborg, S. A., Gowda, P. H., Colaizzi, P. D., & Howell, T. A.
Affiliations
  • Agricultural Research Service (US)
  • Kansas State University (US)
Corresponding author
Baumhardt, R. L.
Venue
Agronomy Journal
Publisher
Wiley
Published
2009-05
Volume
101
Issue
3
Pages
460-468
ISSN
  • 0002-1962 (ISSN-L)
  • 1435-0645
OpenAlex
W2083159246
Cited by
52
References
0
Citations by year
2025: 2 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 3 · 2017: 4 · 2016: 5 · 2015: 5 · 2014: 6 · 2013: 2 · 2012: 2
FWCI
5.03
Type
journal article
Language
en
Open access
closed
Locations
Agronomy Journal (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Irrigation Practices and Water Management
  • Physical Sciences › Environmental Science › Water Science and Technology › Water resources management and optimization
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Climate change impacts on agriculture
Keywords
cotton, deficit irrigation, water use efficiency, irrigation management, irrigation capacity, irrigation duration, lint yield, evapotranspiration, irrigation scheduling, dryland cotton, Southern High Plains, Pullman clay loam

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