IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v216y2019icp306-314.html
   My bibliography  Save this article

Optimizing cotton irrigation and nitrogen management using a soil water balance model and in-season nitrogen applications

Author

Listed:
  • Zurweller, B.A.
  • Rowland, D.L.
  • Mulvaney, M.J.
  • Tillman, B.L.
  • Migliaccio, K.
  • Wright, D.
  • Erickson, J.
  • Payton, P.
  • Vellidis, G.

Abstract

Nitrogen (N) and irrigation can be two of the costliest management inputs in United States (U.S.) cotton (Gossypium hirsutum L.) production systems. Furthermore, input amounts are often dependent on yearly environmental conditions, making it challenging to optimize N and irrigation management. The objectives of this research were to determine optimal N and irrigation management by: (i) evaluating equally split in-season N rates applied at first square and bloom in combination with varying levels of plant available water replacement (PAWR) estimated by an ET-based soil water balance model for cotton; and (ii) evaluate the whole-plant responses to the interaction between N and water management levels. Field experiments were conducted during 2015 and 2016 at two locations in Florida (Jay and Citra), southeastern U.S. with differing soil textures consisting of a deep sand and sandy loam. Irrigation treatments consisted of: (i) 100% of PAWR (100%); (ii) a primed acclimation (PA) treatment consisting of 50% of PAWR until first bloom and then 100% of PAWR (50%PA); (iii) 50% PAWR for the entire season (50%); (iv) a rain-fed control (RF). Nitrogen treatments consisted of even application splits at first square and bloom applied at a rate of 0 (N0), 22 (N22), 34 (N34), and 45 kg N ha−1 (N45). Lint yield assessments were conducted at both locations in both years. To link yield responses to possible physiological responses, in depth crop measurements consisting of SPAD chlorophyll content, leaf area index (LAI), N uptake, and harvest index (HI) were conducted at the Citra site. Contrasting soil textures and weather conditions between research locations and years allowed for a comprehensive assessment of both N and irrigation management across varying environmental conditions. Lint yield was either increased or at least maintained during the two years of this research at the Citra location by making two split N applications at first square and bloom of N22; while the optimal N treatment at the Jay location was N34 at first square and bloom in both years of this research. Additionally, a yield reduction occurred in the dry year of 2016 at the Citra location when N45 was applied at first square and bloom. The most efficient irrigation strategy at the Citra location was the primed acclimation treatment. At the Jay location, the RF control had similar lint yields as the irrigated treatments in both years, indicating that water application was not limiting at this site. These management strategies offer ways to optimize costly inputs when growing cotton in the southeastern U.S.

Suggested Citation

  • Zurweller, B.A. & Rowland, D.L. & Mulvaney, M.J. & Tillman, B.L. & Migliaccio, K. & Wright, D. & Erickson, J. & Payton, P. & Vellidis, G., 2019. "Optimizing cotton irrigation and nitrogen management using a soil water balance model and in-season nitrogen applications," Agricultural Water Management, Elsevier, vol. 216(C), pages 306-314.
    • Handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:306-314
    DOI: 10.1016/j.agwat.2019.01.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418310515
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.01.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Singh, Yudhveer & Rao, Sajjan Singh & Regar, Panna Lal, 2010. "Deficit irrigation and nitrogen effects on seed cotton yield, water productivity and yield response factor in shallow soils of semi-arid environment," Agricultural Water Management, Elsevier, vol. 97(7), pages 965-970, July.
    2. Wanjura, Donald F. & Upchurch, Dan R. & Mahan, James R. & Burke, John J., 2002. "Cotton yield and applied water relationships under drip irrigation," Agricultural Water Management, Elsevier, vol. 55(3), pages 217-237, June.
    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. Leo, Stephen & De Antoni Migliorati, Massimiliano & Nguyen, Trung H. & Grace, Peter R., 2023. "Combining remote sensing-derived management zones and an auto-calibrated crop simulation model to determine optimal nitrogen fertilizer rates," Agricultural Systems, Elsevier, vol. 205(C).
    2. DeLaune, P.B & Mubvumba, P. & Ale, S. & Kimura, E., 2020. "Impact of no-till, cover crop, and irrigation on Cotton yield," Agricultural Water Management, Elsevier, vol. 232(C).
    3. Desheng Wang & Chengkun Wang & Lichao Xu & Tiecheng Bai & Guozheng Yang, 2022. "Simulating Growth and Evaluating the Regional Adaptability of Cotton Fields with Non-Film Mulching in Xinjiang," Agriculture, MDPI, vol. 12(7), pages 1-20, June.
    4. 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).
    5. Fontanet, Mireia & Scudiero, Elia & Skaggs, Todd H. & Fernàndez-Garcia, Daniel & Ferrer, Francesc & Rodrigo, Gema & Bellvert, Joaquim, 2020. "Dynamic Management Zones for Irrigation Scheduling," Agricultural Water Management, Elsevier, vol. 238(C).

    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. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2018. "Determining water use efficiency of wheat and cotton: A meta-regression analysis," Agricultural Water Management, Elsevier, vol. 199(C), pages 48-60.
    2. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2016. "Determining water use efficiency for wheat and cotton: A meta-regression analysis," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236059, Agricultural and Applied Economics Association.
    3. 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.
    4. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.
    5. Hafiz Shahzad Ahmad & Muhammad Imran & Fiaz Ahmad & Shah Rukh & Rao Muhammad Ikram & Hafiz Muhammad Rafique & Zafar Iqbal & Abdulaziz Abdullah Alsahli & Mohammed Nasser Alyemeni & Shafaqat Ali & Tanve, 2021. "Improving Water Use Efficiency through Reduced Irrigation for Sustainable Cotton Production," Sustainability, MDPI, vol. 13(7), pages 1-12, April.
    6. 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.
    7. Papastylianou, Panayiota T. & Argyrokastritis, Ioannis G., 2014. "Effect of limited drip irrigation regime on yield, yield components, and fiber quality of cotton under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 142(C), pages 127-134.
    8. DeTar, W.R., 2008. "Yield and growth characteristics for cotton under various irrigation regimes on sandy soil," Agricultural Water Management, Elsevier, vol. 95(1), pages 69-76, January.
    9. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Zhang, Shaohui & Wang, Yanli & Li, Yuepeng & Sun, Xin & Yang, Ling & Zhang, Fucang, 2021. "Water productivity and seed cotton yield in response to deficit irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 255(C).
    10. DeLaune, P.B & Mubvumba, P. & Ale, S. & Kimura, E., 2020. "Impact of no-till, cover crop, and irrigation on Cotton yield," Agricultural Water Management, Elsevier, vol. 232(C).
    11. 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.
    12. Ünlü, Mustafa & Kanber, RIza & Koç, D. Levent & Tekin, Servet & Kapur, Burçak, 2011. "Effects of deficit irrigation on the yield and yield components of drip irrigated cotton in a mediterranean environment," Agricultural Water Management, Elsevier, vol. 98(4), pages 597-605, February.
    13. Aujla, M.S. & Thind, H.S. & Buttar, G.S., 2005. "Cotton yield and water use efficiency at various levels of water and N through drip irrigation under two methods of planting," Agricultural Water Management, Elsevier, vol. 71(2), pages 167-179, February.
    14. Mauget, Steven & Ulloa, Mauricio & Mitchell-McCallister, Donna, 2022. "Simulated irrigation water productivity and related profit effects in U.S. Southern High Plains cotton production," Agricultural Water Management, Elsevier, vol. 266(C).
    15. Guo, Leilei & Wang, Zaimin & Šimůnek, Jirka & He, Yujiang & Muhamma, Rizwan, 2023. "Optimizing the strategies of mulched brackish drip irrigation under a shallow water table in Xinjiang, China, using HYDRUS-3D," Agricultural Water Management, Elsevier, vol. 283(C).
    16. Shareef, Muhammad & Gui, Dongwei & Zeng, Fanjiang & Waqas, Muhammad & Zhang, Bo & Iqbal, Hassan, 2018. "Water productivity, growth, and physiological assessment of deficit irrigated cotton on hyperarid desert-oases in northwest China," Agricultural Water Management, Elsevier, vol. 206(C), pages 1-10.
    17. 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.
    18. Blessing Masasi & Saleh Taghvaeian & Randy Boman & Sumon Datta, 2019. "Impacts of Irrigation Termination Date on Cotton Yield and Irrigation Requirement," Agriculture, MDPI, vol. 9(2), pages 1-15, February.
    19. Thind, H.S. & Aujla, M.S. & Buttar, G.S., 2008. "Response of cotton to various levels of nitrogen and water applied to normal and paired sown cotton under drip irrigation in relation to check-basin," Agricultural Water Management, Elsevier, vol. 95(1), pages 25-34, January.
    20. 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).

    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:216:y:2019:i:c:p:306-314. 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.