The DOI matches its Crossref record.
Optimal Field Partitioning for Center‐Pivot‐Irrigated Cotton in the Texas High Plains
Abstract
This study was conducted to test the hypothesis that the yield or profit from a cotton (Gossypium hirsutum L.) field can be increased by irrigating only a fraction of the field while keeping the rest as dryland when the irrigation water availability is suboptimal. The cotton growth simulation model Cotton2K was used to simulate the lint yield of cotton for different amounts of available irrigation water using historic weather data for the last 110 yr in the Texas High Plains. The data generated were used to evaluate different field partitioning strategies at four different amounts of total available irrigation water (150, 225, 300, and 375 mm). The results revealed that irrigating 30, 45, 55, and 70% of the field were the best strategies to maximize both the lint yield and profit under 150, 225, 300, and 375 mm of available irrigation water, respectively. The field partitioning strategies had a more pronounced impact on effective lint yield and profit when lower amounts of irrigation water were available and under low-rainfall conditions.
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The Cotton2K model has been directly and indirectly used and tested by many researchers.”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as Nair et al., 2013
In the citing paper
“This study showed that the field partitioning increased both fiber yield and profitabil -ity of deficit irrigated cotton.”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as Nair et al., 2013
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 37
- Almas L.K. W.A.Colette andN.C.Adusumilli.2008.Economic value of ground water resources and irrigated agriculture in the Oklahoma Panhandle. Paper presented at the Southern Agricultural Economics Association Annual Meeting Dallas TX. 2–6 Feb. 2008. · DOI
- Baumhardt R.L., 2007, Abstracts, Annual Meetings of the ASA–CSSA–SSSA, New Orleans, LA. 4–8 Nov. 2007 [CD‐ROM]
- Boggess W.G., 1983, Risk‐return assessment of irrigation decisions in humid regions, South. J. Agric. Econ., 15, 135
- Boone K., 1997, Proceedings of the Beltwide Cotton Conferences, New Orleans. 6–12 Jan. 1997, 380
- Clouse R.W., 2004, Proceedings of the Beltwide Cotton Conferences, San Antonio, TX. 5–9 Jan. 2004, 874
- 10.1016/j.agwat.2007.08.009 · DOI
- Doorenbos J., 1979, Irrig. Drain. Pap. 33
- Easterling D.R. T.R.Karl J.H.Lawrimore andDel GrecoS.A..1999.United States historical climatology network daily temperature precipitation and snow data for 1871–1997. ORNL/CDIAC‐118 NDP‐070. Carbon Dioxide Inf. Anal. Ctr. Oak Ridge Natl. Lab. Oak Ridge TN. · DOI
- 10.2135/cropsci1982.0011183X002200010031x · DOI
- 10.1007/s10584-007-9304-x · DOI · Paper page
- Hillel D., 1998, Environmental soil physics
- Hons F.M., 2011, L‐5458. Texas Coop. Ext. Serv
- 10.1016/j.agwat.2006.05.003 · DOI
- 10.2134/agronj2000.925821x · DOI
- Marani A., 2000, Cotton2k model version 4.0
- Marani A., 1992, Proceedings of the Beltwide Cotton Conferences, Nashville, TN. 6–10 Jan. 1992, 1352
- Marani A., 1992, Proceedings of the Beltwide Cotton Conferences, Nashville, TN. 6–10 Jan. 1992, 1358
- Marani A., 1992, Proceedings of the Beltwide Cotton Conferences, Nashville, TN. 6–10 Jan. 1992, 1361
- 10.1175/2009JAMC2018.1 · DOI
- 10.1016/0308-521X(89)90012-7 · DOI · Paper page
- Mitchell D.M., 2007, Proceedings of the Beltwide Cotton Conferences, New Orleans, LA. 9–12 Jan. 2007, 797
- National Agricultural Statistics Service, 2010, Statistics by state
- 10.2134/agronj2004.3770 · DOI
- 10.2134/agronj1992.00021962008400040002x · DOI
- Richardson C.W., 1984, USDA‐ARS Rep. 8
- Ritchie J.W., 2004, Risk management strategies using seasonal climate forecasting in irrigated cotton production: A tale of stochastic dominance, Aust. J. Agric. Resour. Econ., 48, 65, 10.1111/j.1467-8489.2004.00236.x · DOI · Paper page
- Texas AgriLife Extension Service, 2011, Estimated costs and returns per acre: Cotton, dryland—conventional seed
- Texas AgriLife Extension Service, 2011, Estimated costs and returns per acre: Cotton, pivot irrigated—herbicide‐tolerant—insect‐resistant
- 10.2136/sssaj1980.03615995004400050002x · DOI · Paper page
- 10.2134/agronj1996.00021962008800040011x · DOI
- Wanjura D.F., 1990, Evaluating decision criteria for irrigation scheduling of cotton, Trans. ASAE, 33, 512, 10.13031/2013.31359 · DOI
- 10.13031/2013.28582 · DOI
- 10.13031/2013.27846 · DOI
- Wanjura D.F., 2000, Proceedings of the Beltwide Cotton Conferences, San Antonio, TX. 4–8 Jan. 2000, 442
- Wilde C., 2008, Proceedings of the Beltwide Cotton Conferences, Nashville, TN. 8–11 Jan. 2008, 485
- 10.1016/j.fcr.2007.10.019 · DOI · Paper page
- 10.1016/j.agwat.2010.06.002 · DOI · Paper page
Cited by
Sorted by citations
Thorp, K. R., Ale, S., Bange, M. P., Barnes, E. M., Hoogenboom, G., Lascano, R. J., McCarthy, A. C., Nair, S., Paz, J. O., Rajan, N., et al. (2014) · Journal of Cotton Science · doi:10.56454/oovc6073 · Cited by 96
Self-citation
Metadata
- Authors
- Nair, S., Maas, S., Wang, C., & Mauget, S.
- Affiliations
- Texas Tech University (US)
- Agricultural Research Service (US)
- Corresponding author
- Nair, Shyam
- Venue
- Agronomy Journal
- Publisher
- Wiley
- Published
- 2013-01
- Volume
- 105
- Issue
- 1
- Pages
- 124-133
- ISSN
- 0002-1962 (ISSN-L)
- 1435-0645
- OpenAlex
- W2002710049
- Cited by
- 22
- References
- 0
- Citations by year
- 2024: 1 · 2020: 2 · 2019: 3 · 2017: 2 · 2016: 1 · 2015: 5 · 2014: 6 · 2013: 2
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Agronomy Journal (publishedVersion)
- Funders
- USDA-ARS
- 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
- center pivot irrigation, cotton, Gossypium hirsutum, irrigation water allocation, rainfed agriculture, lint yield, farm profitability, irrigation water scarcity, Texas High Plains
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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