IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v290y2023ics0378377423004341.html
   My bibliography  Save this article

Quantifying links between topsoil depth, plant water use, and yield in a rainfed maize field in the U. S. Midwest

Author

Listed:
  • Schreiner-McGraw, Adam P.
  • Baffaut, Claire

Abstract

Agricultural production in highly variable soils is a challenge, especially when those soils are shallow. Precision agriculture techniques were developed to improve yields and minimize spatial and interannual variability in profit. In the Central Claypan region of the Midwest United States, many of the precision agriculture techniques were based on the assumption that topsoil depth controlled plant available water, and therefore yield. But this assumption has not been empirically tested. In this study, we use measurements of sap flow installed on maize plants with a gradient in topsoil depth, caused by a claypan layer. We hypothesize that plants with higher water use have higher yield, plants in areas with thicker topsoil have higher water use, and soils in the areas with thicker topsoil have higher soil water content. Sap flow sensors were installed on 5 plants each at three locations with topsoil depths of 19.6 cm (shallow), 21.6 cm (medium), and 30.5 cm (deep) from June – September, 2022. An ANOVA analysis demonstrates that the average total season transpiration at the deep site (279 mm) was significantly larger than at the shallow site (151 mm), while the medium site was in the middle with transpiration not significantly different from either shallow or deep sites (218 mm). At the end of the season, the plants were harvested and total biomass and grain yield were measured. Increase in plant transpiration was significantly related to both increases in biomass and yield. Finally, we measured volumetric soil water content at each location and found higher soil water content at the site with thicker topsoil. Our results demonstrate the link between topsoil depth, soil water content, plant transpiration, and yield. These findings will help improve precision agriculture techniques in areas with highly variable topsoil thickness.

Suggested Citation

  • Schreiner-McGraw, Adam P. & Baffaut, Claire, 2023. "Quantifying links between topsoil depth, plant water use, and yield in a rainfed maize field in the U. S. Midwest," Agricultural Water Management, Elsevier, vol. 290(C).
  • Handle: RePEc:eee:agiwat:v:290:y:2023:i:c:s0378377423004341
    DOI: 10.1016/j.agwat.2023.108569
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377423004341
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2023.108569?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. Zhe Feng & L. Ruby Leung & Samson Hagos & Robert A. Houze & Casey D. Burleyson & Karthik Balaguru, 2016. "More frequent intense and long-lived storms dominate the springtime trend in central US rainfall," Nature Communications, Nature, vol. 7(1), pages 1-8, December.
    2. Zhang, Shaohui & Wang, Haidong & Sun, Xin & Fan, Junliang & Zhang, Fucang & Zheng, Jing & Li, Yuepeng, 2021. "Effects of farming practices on yield and crop water productivity of wheat, maize and potato in China: A meta-analysis," Agricultural Water Management, Elsevier, vol. 243(C).
    3. Feng, Yu & Hao, Weiping & Gao, Lili & Li, Haoru & Gong, Daozhi & Cui, Ningbo, 2019. "Comparison of maize water consumption at different scales between mulched and non-mulched croplands," Agricultural Water Management, Elsevier, vol. 216(C), pages 315-324.
    4. Payero, Jose O. & Melvin, Steven R. & Irmak, Suat & Tarkalson, David, 2006. "Yield response of corn to deficit irrigation in a semiarid climate," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 101-112, July.
    Full references (including those not matched with items on IDEAS)

    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. Gheysari, Mahdi & Mirlatifi, Seyed Majid & Bannayan, Mohammad & Homaee, Mehdi & Hoogenboom, Gerrit, 2009. "Interaction of water and nitrogen on maize grown for silage," Agricultural Water Management, Elsevier, vol. 96(5), pages 809-821, May.
    2. Saseendran, S.A. & Ahuja, Lajpat R. & Ma, Liwang & Trout, Thomas J. & McMaster, Gregory S. & Nielsen, David C. & Ham, Jay M. & Andales, Allan A. & Halvorson, Ardel D. & Chávez, José L. & Fang, Quanxia, 2015. "Developing and normalizing average corn crop water production functions across years and locations using a system model," Agricultural Water Management, Elsevier, vol. 157(C), pages 65-77.
    3. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    4. Murley, Cameron B. & Sharma, Sumit & Warren, Jason G. & Arnall, Daryl B. & Raun, William R., 2018. "Yield response of corn and grain sorghum to row offsets on subsurface drip laterals," Agricultural Water Management, Elsevier, vol. 208(C), pages 357-362.
    5. Wu, Jie & Feng, Yu & Liang, Lili & He, Xinyue & Zeng, Zhenzhong, 2022. "Assessing evapotranspiration observed from ECOSTRESS using flux measurements in agroecosystems," Agricultural Water Management, Elsevier, vol. 269(C).
    6. Comas, Louise H. & Trout, Thomas J. & DeJonge, Kendall C. & Zhang, Huihui & Gleason, Sean M., 2019. "Water productivity under strategic growth stage-based deficit irrigation in maize," Agricultural Water Management, Elsevier, vol. 212(C), pages 433-440.
    7. Eric J Belasco & Joseph Cooper & Vincent H Smith, 2020. "The Development of a Weather‐based Crop Disaster Program," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 240-258, January.
    8. Tarkalson, David D. & King, Bradley A. & Bjorneberg, Dave L., 2022. "Maize grain yield and crop water productivity functions in the arid Northwest U.S," Agricultural Water Management, Elsevier, vol. 264(C).
    9. Kukal, M.S. & Irmak, S., 2020. "Impact of irrigation on interannual variability in United States agricultural productivity," Agricultural Water Management, Elsevier, vol. 234(C).
    10. Feng, Yu & Hao, Weiping & Li, Haoru & Cui, Ningbo & Gong, Daozhi & Gao, Lili, 2020. "Machine learning models to quantify and map daily global solar radiation and photovoltaic power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    11. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Zhuang, Qianlai, 2021. "Evapotranspiration partitioning and water productivity of rainfed maize under contrasting mulching conditions in Northwest China," Agricultural Water Management, Elsevier, vol. 243(C).
    12. Ivana Bajić & Borivoj Pejić & Vladimir Sikora & Mirjana Kostić & Aleksandra Ivanovska & Biljana Pejić & Bojan Vojnov, 2022. "The Effects of Irrigation, Topping, and Interrow Spacing on the Yield and Quality of Hemp ( Cannabis sativa L.) Fibers in Temperate Climatic Conditions," Agriculture, MDPI, vol. 12(11), pages 1-17, November.
    13. Wang, Haidong & Wang, Naijiang & Quan, Hao & Zhang, Fucang & Fan, Junliang & Feng, Hao & Cheng, Minghui & Liao, Zhenqi & Wang, Xiukang & Xiang, Youzhen, 2022. "Yield and water productivity of crops, vegetables and fruits under subsurface drip irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 269(C).
    14. Mondol, Md Anarul Haque & Zhu, Xuan & Dunkerley, David & Henley, Benjamin J., 2022. "Changing occurrence of crop water surplus or deficit and the impact of irrigation: An analysis highlighting consequences for rice production in Bangladesh," Agricultural Water Management, Elsevier, vol. 269(C).
    15. Wang, Feng & Meng, Haofeng & Xie, Ruizhi & Wang, Keru & Ming, Bo & Hou, Peng & Xue, Jun & Li, Shaokun, 2023. "Optimizing deficit irrigation and regulated deficit irrigation methods increases water productivity in maize," Agricultural Water Management, Elsevier, vol. 280(C).
    16. Qin, Shujing & Li, Sien & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Ding, Risheng & Wang, Yahui & Guo, Hui, 2019. "Transpiration of female and male parents of seed maize in northwest China," Agricultural Water Management, Elsevier, vol. 213(C), pages 397-409.
    17. Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Xiang, Youzhen & Wu, Lifeng & Yan, Shicheng, 2020. "Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China," Agricultural Water Management, Elsevier, vol. 230(C).
    18. Haoze Zhang & Mingliang Gao & Fuying Liu & Huabin Yuan & Zhendong Liu & Mingming Zhang & Quanqi Li & Rui Zong, 2024. "Characteristic of soil moisture utilisation with different water-sensitive cultivars of summer maize in the North China Plain," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 70(4), pages 210-219.
    19. 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).
    20. Karandish, Fatemeh & Šimůnek, Jiří, 2016. "A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies," Agricultural Water Management, Elsevier, vol. 178(C), pages 291-303.

    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:290:y:2023:i:c:s0378377423004341. 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.