IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v204y2018icp222-233.html
   My bibliography  Save this article

Plant temperature-based indices using infrared thermography for detecting water status in sesame under greenhouse conditions

Author

Listed:
  • Khorsandi, Azar
  • Hemmat, Abbas
  • Mireei, Seyed Ahmad
  • Amirfattahi, Rasoul
  • Ehsanzadeh, Parviz

Abstract

There have been studies on the effect of water stresses on leaf stomatal conductance (gs); however, the scientific reports on using non-contact techniques such as thermography for sesame (Sesamum indicum L.) are rare. The objectives of this study were hence to detect water status in sesame (genotype, “Naz-Takshakhe”) under greenhouse conditions using Crop Water Stress (CWSI) and stomatal conductance (Ig) Indices. One hundred and fifty pots were randomly assigned to three equal groups which were irrigated at soil water potential of −0.1 MPa (well-watered, WW), −1.0 MPa (moderate-water stressed, MWS), and −1.5 MPa (severe-water stressed, SWS). Four formulations of CWSI and two of Ig using canopy temperature (TC) from the WW treatment or temperature from a wet reference for the upper threshold and TC from the SWS treatment, temperature from a dry reference or air temperature plus 3° as the lower threshold were compared. Moreover, an additional CWSI and Ig formulations were also obtained by non-water stress baseline (NWSB) information using meteorological data. Furthermore, the relative water content (RWC) and gs were measured on the youngest and uppermost fully developed leaves of each pot. TC of MWS and SWS plants was higher than WW plants by 1.9 and 2.6 °C, respectively. A significant and linear relationship (P < 0.001) between CWSI/Ig and gs/RWC was found. Therefore, both physiological traits of gs and RWC can be estimated by temperature-based indices of CWSI/Ig. The results also showed the developed system enables us to estimate actual time variations in canopy temperatures. This study validates the effectiveness of using CWSI/Ig for non-destructive detection of water stress and estimation of relative water content in sesame.

Suggested Citation

  • Khorsandi, Azar & Hemmat, Abbas & Mireei, Seyed Ahmad & Amirfattahi, Rasoul & Ehsanzadeh, Parviz, 2018. "Plant temperature-based indices using infrared thermography for detecting water status in sesame under greenhouse conditions," Agricultural Water Management, Elsevier, vol. 204(C), pages 222-233.
    • Handle: RePEc:eee:agiwat:v:204:y:2018:i:c:p:222-233
    DOI: 10.1016/j.agwat.2018.04.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418303573
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2018.04.012?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. Erdem, Yesim & Arin, Levent & Erdem, Tolga & Polat, Serdar & Deveci, Murat & Okursoy, Hakan & Gültas, Hüseyin T., 2010. "Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica)," Agricultural Water Management, Elsevier, vol. 98(1), pages 148-156, December.
    2. El-Shikha, D.M. & Waller, P. & Hunsaker, D. & Clarke, T. & Barnes, E., 2007. "Ground-based remote sensing for assessing water and nitrogen status of broccoli," Agricultural Water Management, Elsevier, vol. 92(3), pages 183-193, September.
    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. Luan, Yajun & Xu, Junzeng & Lv, Yuping & Liu, Xiaoyin & Wang, Haiyu & Liu, Shimeng, 2021. "Improving the performance in crop water deficit diagnosis with canopy temperature spatial distribution information measured by thermal imaging," Agricultural Water Management, Elsevier, vol. 246(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. Katimbo, Abia & Rudnick, Daran R. & DeJonge, Kendall C. & Lo, Tsz Him & Qiao, Xin & Franz, Trenton E. & Nakabuye, Hope Njuki & Duan, Jiaming, 2022. "Crop water stress index computation approaches and their sensitivity to soil water dynamics," Agricultural Water Management, Elsevier, vol. 266(C).
    2. Ved Parkash & Sukhbir Singh, 2020. "A Review on Potential Plant-Based Water Stress Indicators for Vegetable Crops," Sustainability, MDPI, vol. 12(10), pages 1-28, May.
    3. Candogan, Burak Nazmi & Sincik, Mehmet & Buyukcangaz, Hakan & Demirtas, Cigdem & Goksoy, Abdurrahim Tanju & Yazgan, Senih, 2013. "Yield, quality and crop water stress index relationships for deficit-irrigated soybean [Glycine max (L.) Merr.] in sub-humid climatic conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 113-121.
    4. Elsayed, Salah & Elhoweity, Mohamed & Ibrahim, Hazem H. & Dewir, Yaser Hassan & Migdadi, Hussein M. & Schmidhalter, Urs, 2017. "Thermal imaging and passive reflectance sensing to estimate the water status and grain yield of wheat under different irrigation regimes," Agricultural Water Management, Elsevier, vol. 189(C), pages 98-110.
    5. Bandyopadhyay, K.K. & Pradhan, S. & Sahoo, R.N. & Singh, Ravender & Gupta, V.K. & Joshi, D.K. & Sutradhar, A.K., 2014. "Characterization of water stress and prediction of yield of wheat using spectral indices under varied water and nitrogen management practices," Agricultural Water Management, Elsevier, vol. 146(C), pages 115-123.
    6. Ramírez, David A. & Yactayo, Wendy & Rens, Libby R. & Rolando, José L. & Palacios, Susan & De Mendiburu, Felipe & Mares, Víctor & Barreda, Carolina & Loayza, Hildo & Monneveux, Philippe & Zotarelli, L, 2016. "Defining biological thresholds associated to plant water status for monitoring water restriction effects: Stomatal conductance and photosynthesis recovery as key indicators in potato," Agricultural Water Management, Elsevier, vol. 177(C), pages 369-378.
    7. Morales-Santos, Angela & Nolz, Reinhard, 2023. "Assessment of canopy temperature-based water stress indices for irrigated and rainfed soybeans under subhumid conditions," Agricultural Water Management, Elsevier, vol. 279(C).
    8. Padilla, Francisco M. & Farneselli, Michela & Gianquinto, Giorgio & Tei, Francesco & Thompson, Rodney B., 2020. "Monitoring nitrogen status of vegetable crops and soils for optimal nitrogen management," Agricultural Water Management, Elsevier, vol. 241(C).
    9. Olutobi Adeyemi & Ivan Grove & Sven Peets & Tomas Norton, 2017. "Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation," Sustainability, MDPI, vol. 9(3), pages 1-29, February.
    10. Sezen, S. Metin & Yazar, Attila & Daşgan, Yıldız & Yucel, Seral & Akyıldız, Asiye & Tekin, Servet & Akhoundnejad, Yelderem, 2014. "Evaluation of crop water stress index (CWSI) for red pepper with drip and furrow irrigation under varying irrigation regimes," Agricultural Water Management, Elsevier, vol. 143(C), pages 59-70.
    11. López-Urrea, R. & Montoro, A. & López-Fuster, P. & Fereres, E., 2009. "Evapotranspiration and responses to irrigation of broccoli," Agricultural Water Management, Elsevier, vol. 96(7), pages 1155-1161, July.
    12. Eekhout, J.P.C. & Delsman, I. & Baartman, J.E.M. & van Eupen, M. & van Haren, C. & Contreras, S. & Martínez-López, J. & de Vente, J., 2024. "How future changes in irrigation water supply and demand affect water security in a Mediterranean catchment," Agricultural Water Management, Elsevier, vol. 297(C).
    13. Zinkernagel, Jana & Maestre-Valero, Jose. F. & Seresti, Sogol Y. & Intrigliolo, Diego S., 2020. "New technologies and practical approaches to improve irrigation management of open field vegetable crops," Agricultural Water Management, Elsevier, vol. 242(C).
    14. Nyathi, M.K. & Mabhaudhi, T. & Van Halsema, G.E. & Annandale, J.G. & Struik, P.C., 2019. "Benchmarking nutritional water productivity of twenty vegetables - A review," Agricultural Water Management, Elsevier, vol. 221(C), pages 248-259.

    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:204:y:2018:i:c:p:222-233. 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.