IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v241y2020ics037837741932027x.html
   My bibliography  Save this article

Using a crop water stress index based on a sap flow method to estimate water status in conilon coffee plants

Author

Listed:
  • Venturin, Afonso Zucolotto
  • Guimarães, Claudinei Martins
  • Sousa, Elias Fernandes de
  • Machado Filho, José Altino
  • Rodrigues, Weverton Pereira
  • Serrazine, Ícaro de Araujo
  • Bressan-Smith, Ricardo
  • Marciano, Cláudio Roberto
  • Campostrini, Eliemar

Abstract

Measurements of water consumption by plants are not often used in irrigation management due to the high cost and difficulty of measurement, however new methods based on sap flow monitoring enable accurate estimation of plant transpiration. The objective of this work was to develop a sap flow sensor to reliably evaluate crop water stress index (CWSIsapflow) to diagnose water status of coffee plants in response to 3 cycles of water suppression and recovery, thus proposing a critical water stress index for conilon coffee plants (Coffea canephora). Sixteen potted coffee plants were randomly monitored under two water status treatments. In eight plants, the soil was watered and maintained at field capacity moisture (irrigated treatment) and the other eight plants were subjected to water stress by water withholding (non-irrigated treatment). The calibration of the sap flow sensor allowed the conception of the proposed crop water stress index, which was compared to leaf water potential, stomatal conductance, transpiration and net photosynthetic CO2 assimilation rate. A coefficient based on actual transpiration was calculated to validate the crop water stress index. The sap flow sensor can be used for determining sap flow in conilon coffee plants, as well as elaborating a crop water stress index and estimating crop water status quickly and at relatively low cost. A critical value (0.4) for the crop water stress index (CWSIsapflow) in conilon coffee plants allows accurate scheduling the best time to initiate irrigation, avoiding physiological damage to the plant.

Suggested Citation

  • Venturin, Afonso Zucolotto & Guimarães, Claudinei Martins & Sousa, Elias Fernandes de & Machado Filho, José Altino & Rodrigues, Weverton Pereira & Serrazine, Ícaro de Araujo & Bressan-Smith, Ricardo &, 2020. "Using a crop water stress index based on a sap flow method to estimate water status in conilon coffee plants," Agricultural Water Management, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:agiwat:v:241:y:2020:i:c:s037837741932027x
    DOI: 10.1016/j.agwat.2020.106343
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837741932027X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2020.106343?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. Christian Bunn & Peter Läderach & Oriana Ovalle Rivera & Dieter Kirschke, 2015. "A bitter cup: climate change profile of global production of Arabica and Robusta coffee," Climatic Change, Springer, vol. 129(1), pages 89-101, March.
    2. Fábio M. DaMatta & Eric Rahn & Peter Läderach & Raquel Ghini & José C. Ramalho, 2019. "Why could the coffee crop endure climate change and global warming to a greater extent than previously estimated?," Climatic Change, Springer, vol. 152(1), pages 167-178, January.
    3. Julian Ramirez-Villegas & Mike Salazar & Andy Jarvis & Carlos Navarro-Racines, 2012. "A way forward on adaptation to climate change in Colombian agriculture: perspectives towards 2050," Climatic Change, Springer, vol. 115(3), pages 611-628, December.
    4. Zhao, Peng & Li, Sien & Li, Fusheng & Du, Taisheng & Tong, Ling & Kang, Shaozhong, 2015. "Comparison of dual crop coefficient method and Shuttleworth–Wallace model in evapotranspiration partitioning in a vineyard of northwest China," Agricultural Water Management, Elsevier, vol. 160(C), pages 41-56.
    5. Pereira, Antonio Roberto & Green, Steve & Villa Nova, Nilson Augusto, 2006. "Penman-Monteith reference evapotranspiration adapted to estimate irrigated tree transpiration," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 153-161, May.
    6. López-López, Manuel & Espadafor, Mónica & Testi, Luca & Lorite, Ignacio Jesús & Orgaz, Francisco & Fereres, Elías, 2018. "Water use of irrigated almond trees when subjected to water deficits," Agricultural Water Management, Elsevier, vol. 195(C), pages 84-93.
    7. Han, Ming & Zhang, Huihui & DeJonge, Kendall C. & Comas, Louise H. & Gleason, Sean, 2018. "Comparison of three crop water stress index models with sap flow measurements in maize," Agricultural Water Management, Elsevier, vol. 203(C), pages 366-375.
    8. Marin, Fábio R. & Angelocci, Luiz R. & Nassif, Daniel S.P. & Costa, Leandro G. & Vianna, Murilo S. & Carvalho, Kassio S., 2016. "Crop coefficient changes with reference evapotranspiration for highly canopy-atmosphere coupled crops," Agricultural Water Management, Elsevier, vol. 163(C), pages 139-145.
    9. Fu, Shuai & Sun, Lin & Luo, Yi, 2016. "Combining sap flow measurements and modelling to assess water needs in an oasis farmland shelterbelt of Populus simonii Carr in Northwest China," Agricultural Water Management, Elsevier, vol. 177(C), pages 172-180.
    10. Cammalleri, C. & Rallo, G. & Agnese, C. & Ciraolo, G. & Minacapilli, M. & Provenzano, G., 2013. "Combined use of eddy covariance and sap flow techniques for partition of ET fluxes and water stress assessment in an irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 120(C), pages 89-97.
    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. Zhang, Liyuan & Zhang, Huihui & Zhu, Qingzhen & Niu, Yaxiao, 2023. "Further investigating the performance of crop water stress index for maize from baseline fluctuation, effects of environmental factors, and variation of critical value," Agricultural Water Management, Elsevier, vol. 285(C).
    2. Rong, Yao & Dai, Xiaoqin & Wang, Weishu & Wu, Peijin & Huo, Zailin, 2023. "Dependence of evapotranspiration validity on shallow groundwater in arid area-a three years field observation experiment," Agricultural Water Management, Elsevier, vol. 286(C).
    3. Zhang, Liyuan & Zhang, Huihui & Han, Wenting & Niu, Yaxiao & Chávez, José L. & Ma, Weitong, 2022. "Effects of image spatial resolution and statistical scale on water stress estimation performance of MGDEXG: A new crop water stress indicator derived from RGB images," Agricultural Water Management, Elsevier, vol. 264(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. Kouadio, Louis & Tixier, Philippe & Byrareddy, Vivekananda & Marcussen, Torben & Mushtaq, Shahbaz & Rapidel, Bruno & Stone, Roger, 2021. "Performance of a process-based model for predicting robusta coffee yield at the regional scale in Vietnam," Ecological Modelling, Elsevier, vol. 443(C).
    2. Miao, Qingfeng & Rosa, Ricardo D. & Shi, Haibin & Paredes, Paula & Zhu, Li & Dai, Jiaxin & Gonçalves, José M. & Pereira, Luis S., 2016. "Modeling water use, transpiration and soil evaporation of spring wheat–maize and spring wheat–sunflower relay intercropping using the dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 165(C), pages 211-229.
    3. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    4. Capurro, Maria C. & Ham, Jay M. & Kluitenberg, Gerard J. & Comas, Louise & Andales, Allan A., 2024. "A novel sap flow system to measure maize transpiration using a heat pulse method," Agricultural Water Management, Elsevier, vol. 301(C).
    5. Ceballos-Sierra, Federico & Dall'Erba, Sandy, 2021. "The effect of climate variability on Colombian coffee productivity: A dynamic panel model approach," Agricultural Systems, Elsevier, vol. 190(C).
    6. Han, Ming & Zhang, Huihui & DeJonge, Kendall C. & Comas, Louise H. & Gleason, Sean, 2018. "Comparison of three crop water stress index models with sap flow measurements in maize," Agricultural Water Management, Elsevier, vol. 203(C), pages 366-375.
    7. Paredes, Paula & Pereira, Luis S. & Rodrigues, Gonçalo C. & Botelho, Nuno & Torres, Maria Odete, 2017. "Using the FAO dual crop coefficient approach to model water use and productivity of processing pea (Pisum sativum L.) as influenced by irrigation strategies," Agricultural Water Management, Elsevier, vol. 189(C), pages 5-18.
    8. Diego Valbuena & Julien G. Chenet & Daniel Gaitán-Cremaschi, 2021. "Options to Support Sustainable Trajectories in a Rural Landscape: Drivers, Rural Processes, and Local Perceptions in a Colombian Coffee-Growing Region," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    9. Xing, Liwen & Cui, Ningbo & Liu, Chunwei & Guo, Li & Zhao, Long & Wu, Zongjun & Jiang, Xuelian & Wen, Shenglin & Zhao, Lu & Gong, Daozhi, 2024. "Estimating daily kiwifruit evapotranspiration under regulated deficit irrigation strategy using optimized surface resistance based model," Agricultural Water Management, Elsevier, vol. 295(C).
    10. Alam, Muhammad Shahinur & Lamb, David W. & Rahman, Muhammad Moshiur, 2019. "In-situ partitioning of evaporation and transpiration components using a portable evapotranspiration dome—A case study in Tall Fescue (Festuca arundinacea)," Agricultural Water Management, Elsevier, vol. 213(C), pages 352-357.
    11. Yang, Danni & Li, Sien & Kang, Shaozhong & Du, Taisheng & Guo, Ping & Mao, Xiaomin & Tong, Ling & Hao, Xinmei & Ding, Risheng & Niu, Jun, 2020. "Effect of drip irrigation on wheat evapotranspiration, soil evaporation and transpiration in Northwest China," Agricultural Water Management, Elsevier, vol. 232(C).
    12. Andrea Bastianin & Alessandro Lanza & Matteo Manera, 2018. "Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 623-633, September.
    13. Fuentes, Sigfredo & Ortega-Farías, Samuel & Carrasco-Benavides, Marcos & Tongson, Eden & Gonzalez Viejo, Claudia, 2024. "Actual evapotranspiration and energy balance estimation from vineyards using micro-meteorological data and machine learning modeling," Agricultural Water Management, Elsevier, vol. 297(C).
    14. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    15. Zhang, Liyuan & Zhang, Huihui & Zhu, Qingzhen & Niu, Yaxiao, 2023. "Further investigating the performance of crop water stress index for maize from baseline fluctuation, effects of environmental factors, and variation of critical value," Agricultural Water Management, Elsevier, vol. 285(C).
    16. Du, Shaoqing & Kang, Shaozhong & Li, Fusheng & Du, Taisheng, 2017. "Water use efficiency is improved by alternate partial root-zone irrigation of apple in arid northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 184-192.
    17. Wu, Youjie & Du, Taisheng & Ding, Risheng & Yuan, Yusen & Li, Sien & Tong, Ling, 2017. "An isotope method to quantify soil evaporation and evaluate water vapor movement under plastic film mulch," Agricultural Water Management, Elsevier, vol. 184(C), pages 59-66.
    18. Tianjiao, Feng & Dong, Wang & Ruoshui, Wang & Yixin, Wang & Zhiming, Xin & Fengmin, Luo & Yuan, Ma & Xing, Li & Huijie, Xiao & Caballero-Calvo, Andrés & Rodrigo-Comino, Jesús, 2022. "Spatial-temporal heterogeneity of environmental factors and ecosystem functions in farmland shelterbelt systems in desert oasis ecotones," Agricultural Water Management, Elsevier, vol. 271(C).
    19. 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).
    20. Nakabuye, Hope Njuki & Rudnick, Daran & DeJonge, Kendall C. & Lo, Tsz Him & Heeren, Derek & Qiao, Xin & Franz, Trenton E. & Katimbo, Abia & Duan, Jiaming, 2022. "Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environment," Agricultural Water Management, Elsevier, vol. 274(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:241:y:2020:i:c:s037837741932027x. 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.