IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v96y2009i2p330-336.html
   My bibliography  Save this article

The variable response of dryland corn yield to soil water content at planting

Author

Listed:
  • Nielsen, David C.
  • Vigil, Merle F.
  • Benjamin, Joseph G.

Abstract

Farmers in the central Great Plains want to diversify crop rotations from the traditional monoculture system of winter wheat-fallow. Corn (Zea mays L.) could work well as a rotation crop, but inputs are expensive and farmers would like to know the chances of producing a certain yield before investing in seed, fertilizer, herbicides, etc. Information on the yield response of corn to available soil water at planting could help guide the crop choice decision regarding corn. This study was conducted to determine if a predictive relationship exists between dryland corn yield and available soil water at planting time and, if such a relationship exists, to use it to assess the risk in obtaining profitable yields. Yield and soil water data from 10 years of a dryland crop rotation study at Akron, CO were analyzed by linear regression to determine predictive relationships. The yield-soil water content production function was highly variable, with values ranging from 0.0 to 67.3 kg ha-1 per mm of available soil water in the 0 to 1.8 m soil profile at planting. The differences in yield response to soil water were related to the amount and timing of precipitation that fell during the corn growing season. Because dryland corn yield is highly dependent on precipitation during reproductive and grain-filling stages, soil water content at corn planting cannot be used alone to reliably determine whether corn should be planted in a flexible rotational system. The predictive relationships developed in this study indicate that under typical amounts of available soil water at corn planting, profitable corn production under dryland conditions is a risky and speculative activity in the central Great Plains of the United States.

Suggested Citation

  • Nielsen, David C. & Vigil, Merle F. & Benjamin, Joseph G., 2009. "The variable response of dryland corn yield to soil water content at planting," Agricultural Water Management, Elsevier, vol. 96(2), pages 330-336, February.
  • Handle: RePEc:eee:agiwat:v:96:y:2009:i:2:p:330-336
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(08)00200-X
    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.

    Citations

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


    Cited by:

    1. Saseendran, S.A. & Nielsen, D.C. & Ahuja, L.R. & Ma, L. & Lyon, D.J., 2013. "Simulated yield and profitability of five potential crops for intensifying the dryland wheat-fallow production system," Agricultural Water Management, Elsevier, vol. 116(C), pages 175-192.
    2. Souza, João V.R.S. & Saad, João C.C. & Sánchez-Román, Rodrigo M. & Rodríguez-Sinobas, Leonor, 2016. "No-till and direct seeding agriculture in irrigated bean: Effect of incorporating crop residues on soil water availability and retention, and yield," Agricultural Water Management, Elsevier, vol. 170(C), pages 158-166.
    3. Parihar, C.M. & Jat, S.L. & Singh, A.K. & Ghosh, A. & Rathore, N.S. & Kumar, B. & Pradhan, S. & Majumdar, K. & Satyanarayana, T. & Jat, M.L. & Saharawat, Y.S. & Kuri, B.R. & Saveipune, D., 2017. "Effects of precision conservation agriculture in a maize-wheat-mungbean rotation on crop yield, water-use and radiation conversion under a semiarid agro-ecosystem," Agricultural Water Management, Elsevier, vol. 192(C), pages 306-319.
    4. Benjamin, J.G. & Nielsen, D.C. & Vigil, M.F. & Mikha, M.M. & Calderon, F., 2015. "Cumulative deficit irrigation effects on corn biomass and grain yield under two tillage systems," Agricultural Water Management, Elsevier, vol. 159(C), pages 107-114.
    5. Cai, Fu & Zhang, Yushu & Mi, Na & Ming, Huiqing & Zhang, Shujie & Zhang, Hui & Zhao, Xianli, 2020. "Maize (Zea mays L.) physiological responses to drought and rewatering, and the associations with water stress degree," Agricultural Water Management, Elsevier, vol. 241(C).
    6. Zhichao Shen & Yan Yang & Xiaojing Fu & Kyra H. Adams & Ettore Biondi & Zhongwen Zhan, 2024. "Fiber-optic seismic sensing of vadose zone soil moisture dynamics," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    7. Chengyi Huang & Sjoerd Willem Duiker & Liangji Deng & Conggang Fang & Weizhong Zeng, 2015. "Influence of Precipitation on Maize Yield in the Eastern United States," Sustainability, MDPI, vol. 7(5), pages 1-15, May.

    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:96:y:2009:i:2:p:330-336. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.