IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v164y2016ip1p148-157.html
   My bibliography  Save this article

Linking thermal imaging to physiological indicators in Carica papaya L. under different watering regimes

Author

Listed:
  • Lima, R.S.N
  • García-Tejero, I.
  • Lopes, T.S.
  • Costa, J.M.
  • Vaz, M.
  • Durán-Zuazo, V.H.
  • Chaves, M.
  • Glenn, D.M.
  • Campostrini, E.

Abstract

Water deficit is the most limiting factor for yield and fruit-quality parameters in papaya crop (Carica papaya L.), deficit-irrigation (DI) strategies offering a feasible alternative to manage limiting water resources. When DI is applied, it is crucial to assess the physiological status of the crop in order to maintain the plant within a threshold value of water stress so as no to affect yield or fruit-quality parameters. The aim of this work was to evaluate the feasibility of thermal imaging in young papaya plants to assess the physiological status of this crop when it is subjected to different DI regimes, studying the relationships between the changes in leaf temperature (Tleaf) and in the major physiological parameters (i.e., stomatal conductance to water vapor, gs; transpiration, E; and net photosynthesis, An). The trial was conducted in a greenhouse from March to April of 2012. Plants were grown in pots and subjected to four irrigation treatments: (1) a full irrigation treatment (control), maintained at field capacity; (2) a partial root-zone drying treatment, irrigated with 50% of the total water applied to control to only one side of roots, alternating the sides every 7 days; (3) a regulated deficit irrigation (50% of the control, applied to both sides of plant); (4) and a non-irrigated treatment, in which irrigation was withheld from both sides of the split root for 14 days, followed by full irrigation until the end of the study. Significant relationships were found between Tleaf and major physiological variables such as gs, E and An. Additionally, significant relationships were found between the difference of leaf-to-air temperature (ΔTleaf–air) and gas-exchange measurements, which were used to establish the optimum range of ΔTleaf–air as a preliminary step to the crop-water monitoring and irrigation scheduling in papaya, using thermal imaging as the main source of information. According to the results, we conclude that thermal imaging is a promising technique to monitor the physiological status of papaya during drought conditions.

Suggested Citation

  • Lima, R.S.N & García-Tejero, I. & Lopes, T.S. & Costa, J.M. & Vaz, M. & Durán-Zuazo, V.H. & Chaves, M. & Glenn, D.M. & Campostrini, E., 2016. "Linking thermal imaging to physiological indicators in Carica papaya L. under different watering regimes," Agricultural Water Management, Elsevier, vol. 164(P1), pages 148-157.
  • Handle: RePEc:eee:agiwat:v:164:y:2016:i:p1:p:148-157
    DOI: 10.1016/j.agwat.2015.07.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377415300639
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2015.07.017?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. Sarwar, Asad & Bastiaanssen, W. G. M. & Feddes, R. A., 2001. "Irrigation water distribution and long-term effects on crop and environment," Agricultural Water Management, Elsevier, vol. 50(2), pages 125-140, September.
    2. Pou, Alícia & Diago, Maria P. & Medrano, Hipólito & Baluja, Javier & Tardaguila, Javier, 2014. "Validation of thermal indices for water status identification in grapevine," Agricultural Water Management, Elsevier, vol. 134(C), pages 60-72.
    3. Ray Ming & Shaobin Hou & Yun Feng & Qingyi Yu & Alexandre Dionne-Laporte & Jimmy H. Saw & Pavel Senin & Wei Wang & Benjamin V. Ly & Kanako L. T. Lewis & Steven L. Salzberg & Lu Feng & Meghan R. Jones , 2008. "The draft genome of the transgenic tropical fruit tree papaya (Carica papaya Linnaeus)," Nature, Nature, vol. 452(7190), pages 991-996, April.
    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. Mira-García, Ana Belén & Conejero, Wenceslao & Vera, Juan & Ruiz-Sánchez, M.Carmen, 2022. "Water status and thermal response of lime trees to irrigation and shade screen," Agricultural Water Management, Elsevier, vol. 272(C).
    2. Pardo, J.J. & Sánchez-Virosta, A. & Léllis, B.C. & Domínguez, A. & Martínez-Romero, A., 2022. "Physiological basis to assess barley response to optimized regulated deficit irrigation for limited volumes of water (ORDIL)," Agricultural Water Management, Elsevier, vol. 274(C).
    3. Santos, Dionei Lima & Coelho, Eugênio Ferreira & Cunha, Fernando França da & Donato, Sérgio Luiz Rodrigues & Bernado, Wallace de Paula & Rodrigues, Weverton Pereira & Campostrini, Eliemar, 2021. "Partial root-zone drying in field-grown papaya: Gas exchange, yield, and water use efficiency," Agricultural Water Management, Elsevier, vol. 243(C).
    4. de Almeida, Ailson Maciel & Coelho, Rubens Duarte & da Silva Barros, Timóteo Herculino & de Oliveira Costa, Jéfferson & Quiloango-Chimarro, Carlos Alberto & Moreno-Pizani, Maria Alejandra & Farias-Ram, 2022. "Water productivity and canopy thermal response of pearl millet subjected to different irrigation levels," Agricultural Water Management, Elsevier, vol. 272(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. Levin, Alexander D., 2019. "Re-evaluating pressure chamber methods of water status determination in field-grown grapevine (Vitis spp.)," Agricultural Water Management, Elsevier, vol. 221(C), pages 422-429.
    2. Chengfu Yuan & Shaoyuan Feng & Zailin Huo & Quanyi Ji, 2019. "Simulation of Saline Water Irrigation for Seed Maize in Arid Northwest China Based on SWAP Model," Sustainability, MDPI, vol. 11(16), pages 1-14, August.
    3. Kumar, Navsal & Adeloye, Adebayo J. & Shankar, Vijay & Rustum, Rabee, 2020. "Neural computing modelling of the crop water stress index," Agricultural Water Management, Elsevier, vol. 239(C).
    4. Ezenne, G.I. & Jupp, Louise & Mantel, S.K. & Tanner, J.L., 2019. "Current and potential capabilities of UAS for crop water productivity in precision agriculture," Agricultural Water Management, Elsevier, vol. 218(C), pages 158-164.
    5. Krista C. Shellie & Bradley A. King, 2020. "Application of a Daily Crop Water Stress Index to Deficit Irrigate Malbec Grapevine under Semi-Arid Conditions," Agriculture, MDPI, vol. 10(11), pages 1-17, October.
    6. Aragüés, R. & Medina, E.T. & Martínez-Cob, A. & Faci, J., 2014. "Effects of deficit irrigation strategies on soil salinization and sodification in a semiarid drip-irrigated peach orchard," Agricultural Water Management, Elsevier, vol. 142(C), pages 1-9.
    7. Pappalardo, S. & Consoli, S. & Longo-Minnolo, G. & Vanella, D. & Longo, D. & Guarrera, S. & D’Emilio, A. & Ramírez-Cuesta, J.M., 2023. "Performance evaluation of a low-cost thermal camera for citrus water status estimation," Agricultural Water Management, Elsevier, vol. 288(C).
    8. Daniele Masseroni & Bianca Ortuani & Martina Corti & Pietro Marino Gallina & Giacomo Cocetta & Antonio Ferrante & Arianna Facchi, 2017. "Assessing the Reliability of Thermal and Optical Imaging Techniques for Detecting Crop Water Status under Different Nitrogen Levels," Sustainability, MDPI, vol. 9(9), pages 1-20, August.
    9. Xu, Xu & Jiang, Yao & Liu, Minghuan & Huang, Quanzhong & Huang, Guanhua, 2019. "Modeling and assessing agro-hydrological processes and irrigation water saving in the middle Heihe River basin," Agricultural Water Management, Elsevier, vol. 211(C), pages 152-164.
    10. Junhui Yuan & Sanjie Jiang & Jianbo Jian & Mingyu Liu & Zhen Yue & Jiabao Xu & Juan Li & Chunyan Xu & Lihong Lin & Yi Jing & Xiaoxiao Zhang & Haixin Chen & Linjuan Zhang & Tao Fu & Shuiyan Yu & Zhangy, 2022. "Genomic basis of the giga-chromosomes and giga-genome of tree peony Paeonia ostii," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    11. Bastiaanssen, W.G.M. & Allen, R.G. & Droogers, P. & D'Urso, G. & Steduto, P., 2007. "Twenty-five years modeling irrigated and drained soils: State of the art," Agricultural Water Management, Elsevier, vol. 92(3), pages 111-125, September.
    12. Lorite, I.J. & Mateos, L. & Orgaz, F. & Fereres, E., 2007. "Assessing deficit irrigation strategies at the level of an irrigation district," Agricultural Water Management, Elsevier, vol. 91(1-3), pages 51-60, July.
    13. Verma, A.K. & Gupta, S.K. & Isaac, R.K., 2012. "Use of saline water for irrigation in monsoon climate and deep water table regions: Simulation modeling with SWAP," Agricultural Water Management, Elsevier, vol. 115(C), pages 186-193.
    14. Santesteban, L.G. & Di Gennaro, S.F. & Herrero-Langreo, A. & Miranda, C. & Royo, J.B. & Matese, A., 2017. "High-resolution UAV-based thermal imaging to estimate the instantaneous and seasonal variability of plant water status within a vineyard," Agricultural Water Management, Elsevier, vol. 183(C), pages 49-59.
    15. Geerts, Sam & Raes, Dirk, 2009. "Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas," Agricultural Water Management, Elsevier, vol. 96(9), pages 1275-1284, September.
    16. Marcella Michela Giuliani & Eugenio Nardella & Anna Gagliardi & Giuseppe Gatta, 2017. "Deficit Irrigation and Partial Root-Zone Drying Techniques in Processing Tomato Cultivated under Mediterranean Climate Conditions," Sustainability, MDPI, vol. 9(12), pages 1-15, November.
    17. G Fikre & A Mensa, 2021. "Evaluation of improved hermaphrodite papaya (Carica papaya L.) varieties at Arba Minch, Southern Ethiopia," International Journal of Agricultural Research, Innovation and Technology (IJARIT), IJARIT Research Foundation, vol. 11(2), December.
    18. King, B.A. & Shellie, K.C., 2016. "Evaluation of neural network modeling to predict non-water-stressed leaf temperature in wine grape for calculation of crop water stress index," Agricultural Water Management, Elsevier, vol. 167(C), pages 38-52.
    19. Ramírez-Cuesta, J.M. & Ortuño, M.F. & Gonzalez-Dugo, V. & Zarco-Tejada, P.J. & Parra, M. & Rubio-Asensio, J.S. & Intrigliolo, D.S., 2022. "Assessment of peach trees water status and leaf gas exchange using on-the-ground versus airborne-based thermal imagery," Agricultural Water Management, Elsevier, vol. 267(C).
    20. García-Tejero, I.F. & Rubio, A.E. & Viñuela, I. & Hernández, A & Gutiérrez-Gordillo, S & Rodríguez-Pleguezuelo, C.R. & Durán-Zuazo, V.H., 2018. "Thermal imaging at plant level to assess the crop-water status in almond trees (cv. Guara) under deficit irrigation strategies," Agricultural Water Management, Elsevier, vol. 208(C), pages 176-186.

    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:164:y:2016:i:p1:p:148-157. 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.