IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v97y2010i9p1310-1316.html
   My bibliography  Save this article

Canopy temperature based system effectively schedules and controls center pivot irrigation of cotton

Author

Listed:
  • O'Shaughnessy, S.A.
  • Evett, S.R.

Abstract

Cotton is a perennial plant with an indeterminate growth pattern that is typically produced like an annual, but requires proper management to effectively produce high yields and good fiber quality in a thermally limited environment like the northern Texas High Plains. In 2007 and 2008, we investigated the effect of irrigation scheduling/control method and amount on cotton (Gossypium hirsutum L.) yield and water use efficiency. Methods were automatic irrigation scheduling and control of a center pivot system, and manually scheduled irrigation to replenish soil-water to field capacity. Cotton was irrigated with LEPA (low energy, precision application) drag socks in furrow dikes; three blocks were irrigated manually and three were irrigated automatically. Six replicates of the manual and automatic irrigation treatments were included in the randomized block design. Manual irrigations were based on the weekly replenishment of soil-water to field capacity in the top 1.5m of the soil profile and included a fully irrigated treatment (I100), and treatments receiving 67% (I67) and 33% (I33) of the I100 amount, plus a non-irrigated treatment (I0). Automatic irrigations were triggered using a time temperature threshold (TTT) algorithm, which was designated as the I100 treatment, and treatments receiving 67%, 33%, and 0% of that amount (I67, I33 and I0, respectively). In 2007, overall mean lint yields (102.3 and 101.6gm-2, manual and automatic, respectively) were not significantly different. Similarly, yields were not significantly different across automatic and manual treatments in the same treatment level, with the exception of the I67 treatment where the manual treatment yields were 11% greater. In 2008, the mean yields were 70% less than those in 2007 for both methods of irrigation (30.3 and 30.9gm-2, manual and automatic, respectively) due to harsh climatic conditions at emergence and heavy rainfall and cooler temperatures in the month of August. Yields from the automatically irrigated plots in the I100 and I67 treatments, however, were significantly greater than yields from the corresponding manually irrigated plots; though there was no significant difference between yields in the drier treatments (I33 and I0) plots. These results indicate that the TTT algorithm is a promising method for auto-irrigation scheduling of short season cotton in an arid region. However, further studies are essential to demonstrate consistent positive outcomes.

Suggested Citation

  • O'Shaughnessy, S.A. & Evett, S.R., 2010. "Canopy temperature based system effectively schedules and controls center pivot irrigation of cotton," Agricultural Water Management, Elsevier, vol. 97(9), pages 1310-1316, September.
  • Handle: RePEc:eee:agiwat:v:97:y:2010:i:9:p:1310-1316
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(10)00109-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Al-Kaisi, Mahdi M. & Berrada, Abdel & Stack, Mark, 1997. "Evaluation of irrigation scheduling program and spring wheat yield response in southwestern Colorado," Agricultural Water Management, Elsevier, vol. 34(2), pages 137-148, August.
    2. Hunsaker, D. J. & Clemmens, A. J. & Fangmeier, D. D., 1998. "Cotton response to high frequency surface irrigation," Agricultural Water Management, Elsevier, vol. 37(1), pages 55-74, June.
    3. Tennakoon, S. B. & Milroy, S. P., 2003. "Crop water use and water use efficiency on irrigated cotton farms in Australia," Agricultural Water Management, Elsevier, vol. 61(3), pages 179-194, July.
    4. Ibragimov, Nazirbay & Evett, Steven R. & Esanbekov, Yusupbek & Kamilov, Bakhtiyor S. & Mirzaev, Lutfullo & Lamers, John P.A., 2007. "Water use efficiency of irrigated cotton in Uzbekistan under drip and furrow irrigation," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 112-120, May.
    5. Ko, Jonghan & Piccinni, Giovanni, 2009. "Corn yield responses under crop evapotranspiration-based irrigation management," Agricultural Water Management, Elsevier, vol. 96(5), pages 799-808, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Xiumei & Zhao, Weixia & Li, Jiusheng & Li, Yanfeng, 2019. "Maximizing water productivity of winter wheat by managing zones of variable rate irrigation at different deficit levels," Agricultural Water Management, Elsevier, vol. 216(C), pages 153-163.
    2. Chen, Xiaoping & Qi, Zhiming & Gui, Dongwei & Sima, Matthew W. & Zeng, Fanjiang & Li, Lanhai & Li, Xiangyi & Gu, Zhe, 2020. "Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate," Agricultural Water Management, Elsevier, vol. 234(C).
    3. Colaizzi, Paul D. & O’Shaughnessy, Susan A. & Evett, Steve R. & Mounce, Ryan B., 2017. "Crop evapotranspiration calculation using infrared thermometers aboard center pivots," Agricultural Water Management, Elsevier, vol. 187(C), pages 173-189.
    4. DeJonge, Kendall C. & Taghvaeian, Saleh & Trout, Thomas J. & Comas, Louise H., 2015. "Comparison of canopy temperature-based water stress indices for maize," Agricultural Water Management, Elsevier, vol. 156(C), pages 51-62.
    5. Garibay, Victoria M. & Kothari, Kritika & Ale, Srinivasulu & Gitz, Dennis C. & Morgan, Gaylon D. & Munster, Clyde L., 2019. "Determining water-use-efficient irrigation strategies for cotton using the DSSAT CSM CROPGRO-cotton model evaluated with in-season data," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    6. Fan, Yubing & Himanshu, Sushil K. & Ale, Srinivasulu & DeLaune, Paul B. & Zhang, Tian & Park, Seong C. & Colaizzi, Paul D. & Evett, Steven R. & Baumhardt, R. Louis, 2022. "The synergy between water conservation and economic profitability of adopting alternative irrigation systems for cotton production in the Texas High Plains," Agricultural Water Management, Elsevier, vol. 262(C).
    7. O’Shaughnessy, Susan A. & Evett, Steven R. & Colaizzi, Paul D., 2015. "Dynamic prescription maps for site-specific variable rate irrigation of cotton," Agricultural Water Management, Elsevier, vol. 159(C), pages 123-138.
    8. Ezenne, G.I. & Jupp, Louise & Mantel, S.K. & Tanner, J.L., 2019. "Current and potential capabilities of UAS for crop water productivity in precision agriculture," Agricultural Water Management, Elsevier, vol. 218(C), pages 158-164.
    9. Romero, R. & Muriel, J.L. & García, I. & Muñoz de la Peña, D., 2012. "Research on automatic irrigation control: State of the art and recent results," Agricultural Water Management, Elsevier, vol. 114(C), pages 59-66.
    10. Drechsler, Kelley & Kisekka, Isaya & Upadhyaya, Shrinivasa, 2019. "A comprehensive stress indicator for evaluating plant water status in almond trees," Agricultural Water Management, Elsevier, vol. 216(C), pages 214-223.
    11. Liang, Xi & Liakos, Vasilis & Wendroth, Ole & Vellidis, George, 2016. "Scheduling irrigation using an approach based on the van Genuchten model," Agricultural Water Management, Elsevier, vol. 176(C), pages 170-179.
    12. O’Shaughnessy, Susan A. & Kim, Minyoung & Andrade, Manuel A. & Colaizzi, Paul D. & Evett, Steven R., 2020. "Site-specific irrigation of grain sorghum using plant and soil water sensing feedback - Texas High Plains," Agricultural Water Management, Elsevier, vol. 240(C).
    13. O'Shaughnessy, S.A. & Evett, S.R. & Colaizzi, P.D. & Howell, T.A., 2011. "Using radiation thermography and thermometry to evaluate crop water stress in soybean and cotton," Agricultural Water Management, Elsevier, vol. 98(10), pages 1523-1535, August.
    14. Kullberg, Emily G. & DeJonge, Kendall C. & Chávez, José L., 2017. "Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients," Agricultural Water Management, Elsevier, vol. 179(C), pages 64-73.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    2. Brar, Harjeet Singh & Singh, Pritpal, 2022. "Pre-and post-sowing irrigation scheduling impacts on crop phenology and water productivity of cotton (Gossypium hirsutum L.) in sub-tropical north-western India," Agricultural Water Management, Elsevier, vol. 274(C).
    3. Feike, Til & Khor, Ling Yee & Mamitimin, Yusuyunjiang & Ha, Nan & Li, Lin & Abdusalih, Nurbay & Xiao, Haifeng & Doluschitz, Reiner, 2017. "Determinants of cotton farmers’ irrigation water management in arid Northwestern China," Agricultural Water Management, Elsevier, vol. 187(C), pages 1-10.
    4. Kang, Yaohu & Wang, Ruoshui & Wan, Shuqin & Hu, Wei & Jiang, Shufang & Liu, Shiping, 2012. "Effects of different water levels on cotton growth and water use through drip irrigation in an arid region with saline ground water of Northwest China," Agricultural Water Management, Elsevier, vol. 109(C), pages 117-126.
    5. Thorp, K.R. & Thompson, A.L. & Bronson, K.F., 2020. "Irrigation rate and timing effects on Arizona cotton yield, water productivity, and fiber quality," Agricultural Water Management, Elsevier, vol. 234(C).
    6. Komlan Koudahe & Aleksey Y. Sheshukov & Jonathan Aguilar & Koffi Djaman, 2021. "Irrigation-Water Management and Productivity of Cotton: A Review," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
    7. O'Connor, Claire, 2013. "Soil Matters: How the Federal Crop Insurance Program should be reformed to encourage low-risk farming methods with high-reward environmental outcomes," 2013 AAEA: Crop Insurance and the Farm Bill Symposium 156789, Agricultural and Applied Economics Association.
    8. Kenjabaev, Shavkat & Forkutsa, I. & Bach, M. & Frede, H.-G., 2013. "Performance evaluation of the BUDGET model in simulating cotton and wheat yield and soil moisture in Fergana valley," International Conference and Young Researchers Forum - Natural Resource Use in Central Asia: Institutional Challenges and the Contribution of Capacity Building 159114, University of Giessen (JLU Giessen), Center for International Development and Environmental Research.
    9. Motazedian, Azam & Kazemeini, Seyed Abdolreza & Bahrani, Mohammad Jafar, 2019. "Sweet corn growth and GrainYield as influenced by irrigation and wheat residue management," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    10. Ping Wang & Zhenyong Zhao & Lei Wang & Changyan Tian, 2021. "Comparison of Efficiency-Enhanced Management and Conventional Management of Irrigation and Nitrogen Fertilization in Cotton Fields of Northwestern China," Agriculture, MDPI, vol. 11(11), pages 1-11, November.
    11. Fan, Yubing & McCann, Laura M., 2017. "Farmers’ Adoption of Pressure Irrigation Systems and Scientific Scheduling Practices: An Application of Multilevel Models," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258458, Agricultural and Applied Economics Association.
    12. Liang, Hao & Lv, Haofeng & Batchelor, William D. & Lian, Xiaojuan & Wang, Zhengxiang & Lin, Shan & Hu, Kelin, 2020. "Simulating nitrate and DON leaching to optimize water and N management practices for greenhouse vegetable production systems," Agricultural Water Management, Elsevier, vol. 241(C).
    13. M. A. Samad Azad & Tihomir Ancev, 2016. "Economics of Salinity Effects from Irrigated Cotton: An Efficiency Analysis," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 1-24, March.
    14. Oweis, T.Y. & Farahani, H.J. & Hachum, A.Y., 2011. "Evapotranspiration and water use of full and deficit irrigated cotton in the Mediterranean environment in northern Syria," Agricultural Water Management, Elsevier, vol. 98(8), pages 1239-1248, May.
    15. Sangha, Laljeet & Shortridge, Julie & Frame, William, 2023. "The impact of nitrogen treatment and short-term weather forecast data in irrigation scheduling of corn and cotton on water and nutrient use efficiency in humid climates," Agricultural Water Management, Elsevier, vol. 283(C).
    16. Pongspikul, Tayatorn & McCann, Laura M., 2020. "Farmers’ Adoption of Pressure Irrigation Systems: The Case of Cotton Producers in the Southeastern versus Southwestern U.S," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304332, Agricultural and Applied Economics Association.
    17. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2014. "Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China," Agricultural Water Management, Elsevier, vol. 146(C), pages 335-345.
    18. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "WATPRO: A remote sensing based model for mapping water productivity of wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1628-1636, October.
    19. Darouich, Hanaa & Gonçalves, José M. & Muga, André & Pereira, Luis S., 2012. "Water saving vs. farm economics in cotton surface irrigation: An application of multicriteria analysis," Agricultural Water Management, Elsevier, vol. 115(C), pages 223-231.
    20. Honghong Ma & Tao Yang & Xinxiang Niu & Zhenan Hou & Xingwang Ma, 2021. "Sound Water and Nitrogen Management Decreases Nitrogen Losses from a Drip-Fertigated Cotton Field in Northwestern China," Sustainability, MDPI, vol. 13(2), pages 1-13, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:97:y:2010:i:9:p:1310-1316. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.