IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v155y2015icp40-47.html
   My bibliography  Save this article

Evapotranspiration partitioning and water use efficiency of switchgrass and biomass sorghum managed for biofuel

Author

Listed:
  • Yimam, Yohannes Tadesse
  • Ochsner, Tyson E.
  • Kakani, Vijaya Gopal

Abstract

Switchgrass (Panicum virgatum L.) and biomass sorghum (Sorghum bicolor L. Moench) are two candidate bioenergy crops for the US Southern Great Plains region. In this water-limited region, there is a need to partition evapotranspiration (ET) and to determine the water use efficiency (WUE) of these potential feedstocks. Both crops were grown in a field plot experiment at Stillwater, OK. Soil water content measurements were made by neutron probe every two weeks to a depth of 2.0m in 0.2-m intervals over the course of three growing seasons. Growing season ET was estimated as the difference between growing season precipitation and change in root zone soil water storage. Evapotranspiration was partitioned by measuring canopy interception using interception trays and estimating soil evaporation using the FAO-56 dual crop coefficient method. Transpiration was calculated as ET minus soil evaporation and canopy interception. Transpiration was the largest component of ET; however, soil evaporation and canopy interception accounted for 28% of growing season ET for switchgrass and 42% for biomass sorghum. Although the non-productive losses were greater from biomass sorghum, WUE values of 9–49kgha−1mm−1 based on ET and 22–83kgha−1mm−1 based on transpiration were observed for biomass sorghum, which were greater than the WUE values of switchgrass, 8–21kgha−1mm−1 based on ET and 12–28kgha−1mm−1 based on transpiration. These results demonstrate that biomass sorghum is a candidate feedstock with potential to achieve greater WUE than switchgrass at this location; however, other factors such as economics and ecosystem services should also be considered.

Suggested Citation

  • Yimam, Yohannes Tadesse & Ochsner, Tyson E. & Kakani, Vijaya Gopal, 2015. "Evapotranspiration partitioning and water use efficiency of switchgrass and biomass sorghum managed for biofuel," Agricultural Water Management, Elsevier, vol. 155(C), pages 40-47.
  • Handle: RePEc:eee:agiwat:v:155:y:2015:i:c:p:40-47
    DOI: 10.1016/j.agwat.2015.03.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377415000931
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2015.03.018?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. Allen, Richard G., 2011. "Skin layer evaporation to account for small precipitation events—An enhancement to the FAO-56 evaporation model," Agricultural Water Management, Elsevier, vol. 99(1), pages 8-18.
    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. Aydinsakir, Koksal & Buyuktas, Dursun & Dinç, Nazmi & Erdurmus, Cengiz & Bayram, Edip & Yegin, Arzu Bayir, 2021. "Yield and bioethanol productivity of sorghum under surface and subsurface drip irrigation," Agricultural Water Management, Elsevier, vol. 243(C).
    2. Rosa, Lorenzo & Sanchez, Daniel L. & Realmonte, Giulia & Baldocchi, Dennis & D'Odorico, Paolo, 2021. "The water footprint of carbon capture and storage technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    3. Michaela ŠKEŘÍKOVÁ & Václav BRANT & Milan KROULÍK & Jan PIVEC & Petr ZÁBRANSKÝ & Josef HAKL & Michael HOFBAUER, 2018. "Water demands and biomass production of sorghum and maize plants in areas with insufficient precipitation in Central Europe," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 64(8), pages 367-378.
    4. 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).
    5. Farajiamiri, Mina & Meyer, Jörn-Christian & Walther, Grit, 2023. "Multi-objective optimization of renewable fuel supply chains regarding cost, land use, and water use," Applied Energy, Elsevier, vol. 349(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. Zhu, Wei & Yang, Jingsong & Yao, Rongjiang & Xie, Wenping & Wang, Xiangping & Liu, Yuqian, 2022. "Soil water-salt control and yield improvement under the effect of compound control in saline soil of the Yellow River Delta, China," Agricultural Water Management, Elsevier, vol. 263(C).
    2. 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).
    3. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2019. "Hydrological complexities in irrigated agro-ecosystems with fragmented land cover types and shallow groundwater: Insights from a distributed hydrological modeling method," Agricultural Water Management, Elsevier, vol. 213(C), pages 868-881.
    4. Saboori, Mojtaba & Mokhtari, Ali & Afrasiabian, Yasamin & Daccache, Andre & Alaghmand, Sina & Mousivand, Yousef, 2021. "Automatically selecting hot and cold pixels for satellite actual evapotranspiration estimation under different topographic and climatic conditions," Agricultural Water Management, Elsevier, vol. 248(C).
    5. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Wang, T. & López-Urrea, R. & Cancela, J.J. & Allen, R.G., 2020. "Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data," Agricultural Water Management, Elsevier, vol. 241(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:155:y:2015:i:c:p:40-47. 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.