IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v96y2009i6p905-911.html
   My bibliography  Save this article

Soil water balance trial involving capacitance and neutron probe measurements

Author

Listed:
  • Vera, J.
  • Mounzer, O.
  • Ruiz-Sánchez, M.C.
  • Abrisqueta, I.
  • Tapia, L.M.
  • Abrisqueta, J.M.

Abstract

The objective of this study was to compare soil water measurements made using capacitance and neutron probes by means of a water balance experiment in a drainage lysimeter. The experiment was conducted in a 5-year-old drip-irrigated peach orchard (Prunus persica L. Batsch, cv. Flordastar, on GF-677 peach rootstock) planted in a clay loam textured soil located in southern Spain. Four drainage lysimeters (5mx5mx1.5m), each containing one tree, were constructed and equipped with one lateral line containing eight drippers per tree, with a discharge rate of 2Lh-1. Three access tubes for the neutron probe (NP), symmetrically facing three PVC access tubes containing the multi-depth capacitance probes (MDCP) were located perpendicularly to the drip line (0.2, 0.6 and 1m). The results demonstrated that both the capacitance and neutron probes gave similar soil water content values under steady state hydraulic gradient conditions (0.2m from the emitter) although some discrepancies were found in heterogeneous soil water distribution conditions (1m from the emitter), which might be attributed to the smaller soil volume explored by the MDCP compared with the NP. Explanations for the discrepancies between both devised are presented. When water inputs and outputs were fairly constant, the volumetric soil water content could be considered to represent field saturation ([theta]sat=0.36m3m-3). When drainage was zero, there were 2 days when the soil water content was constant and could be considered as field capacity ([theta]fc=0.31m3m-3). The findings suggest that: (i) capacitance probes can be used for continuous real-time soil water content monitoring unlike the manual measurements obtained with the neutron probe; (ii) the location of the sensors is critical when used for drip irrigation scheduling and our recommendations for practical agricultural purposes would be to place MDCP sensors in the place representing the highest root density, leading the sensors to become biological sensors rather than mere soil moisture sensors; and (iii) on average, the water balance values determined by lysimeter match those calculated using the data from both probes. However, due to the smaller soil volume explored by MDCP, more of these sensors must be used to characterize the soil water status in water balance studies.

Suggested Citation

  • Vera, J. & Mounzer, O. & Ruiz-Sánchez, M.C. & Abrisqueta, I. & Tapia, L.M. & Abrisqueta, J.M., 2009. "Soil water balance trial involving capacitance and neutron probe measurements," Agricultural Water Management, Elsevier, vol. 96(6), pages 905-911, June.
    • Handle: RePEc:eee:agiwat:v:96:y:2009:i:6:p:905-911
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(08)00316-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Thompson, R.B. & Gallardo, M. & Valdez, L.C. & Fernandez, M.D., 2007. "Determination of lower limits for irrigation management using in situ assessments of apparent crop water uptake made with volumetric soil water content sensors," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 13-28, August.
    2. Girona, J. & Mata, M. & Fereres, E. & Goldhamer, D. A. & Cohen, M., 2002. "Evapotranspiration and soil water dynamics of peach trees under water deficits," Agricultural Water Management, Elsevier, vol. 54(2), pages 107-122, March.
    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. Pascual-Seva, Núria & San Bautista, Alberto & López-Galarza, Salvador & Maroto, José Vicente & Pascual, Bernardo, 2018. "Influence of different drip irrigation strategies on irrigation water use efficiency on chufa (Cyperus esculentus L. var. sativus Boeck.) crop," Agricultural Water Management, Elsevier, vol. 208(C), pages 406-413.
    2. Pascual-Seva, N. & San Bautista, A. & López-Galarza, S. & Maroto, J.V. & Pascual, B., 2016. "Response of drip-irrigated chufa (Cyperus esculentus L. var. sativus Boeck.) to different planting configurations: Yield and irrigation water-use efficiency," Agricultural Water Management, Elsevier, vol. 170(C), pages 140-147.

    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. Abrisqueta, I. & Vera, J. & Tapia, L.M. & Abrisqueta, J.M. & Ruiz-Sánchez, M.C., 2012. "Soil water content criteria for peach trees water stress detection during the postharvest period," Agricultural Water Management, Elsevier, vol. 104(C), pages 62-67.
    2. Nolz, R. & Cepuder, P. & Balas, J. & Loiskandl, W., 2016. "Soil water monitoring in a vineyard and assessment of unsaturated hydraulic parameters as thresholds for irrigation management," Agricultural Water Management, Elsevier, vol. 164(P2), pages 235-242.
    3. 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).
    4. Savé, R. & de Herralde, F. & Aranda, X. & Pla, E. & Pascual, D. & Funes, I. & Biel, C., 2012. "Potential changes in irrigation requirements and phenology of maize, apple trees and alfalfa under global change conditions in Fluvià watershed during XXIst century: Results from a modeling approximat," Agricultural Water Management, Elsevier, vol. 114(C), pages 78-87.
    5. Novak, V. & Hurtalova, T. & Matejka, F., 2005. "Predicting the effects of soil water content and soil water potential on transpiration of maize," Agricultural Water Management, Elsevier, vol. 76(3), pages 211-223, August.
    6. Pascual-Seva, Núria & San Bautista, Alberto & López-Galarza, Salvador & Maroto, José Vicente & Pascual, Bernardo, 2018. "Influence of different drip irrigation strategies on irrigation water use efficiency on chufa (Cyperus esculentus L. var. sativus Boeck.) crop," Agricultural Water Management, Elsevier, vol. 208(C), pages 406-413.
    7. Kassaye, Kassu Tadesse & Boulange, Julien & Lam, Van Thinh & Saito, Hirotaka & Watanabe, Hirozumi, 2020. "Monitoring soil water content for decision supporting in agricultural water management based on critical threshold values adopted for Andosol in the temperate monsoon climate," Agricultural Water Management, Elsevier, vol. 229(C).
    8. 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.
    9. Lo, Tsz Him & Rudnick, Daran R. & Singh, Jasreman & Nakabuye, Hope Njuki & Katimbo, Abia & Heeren, Derek M. & Ge, Yufeng, 2020. "Field assessment of interreplicate variability from eight electromagnetic soil moisture sensors," Agricultural Water Management, Elsevier, vol. 231(C).
    10. Liang, Xi & Liakos, Vasilis & Wendroth, Ole & Vellidis, George, 2016. "Scheduling irrigation using an approach based on the van Genuchten model," Agricultural Water Management, Elsevier, vol. 176(C), pages 170-179.
    11. Hedley, C.B. & Yule, I.J., 2009. "A method for spatial prediction of daily soil water status for precise irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(12), pages 1737-1745, December.
    12. Anderson, Ray G. & Alfieri, Joseph G. & Tirado-Corbalá, Rebecca & Gartung, Jim & McKee, Lynn G. & Prueger, John H. & Wang, Dong & Ayars, James E. & Kustas, William P., 2017. "Assessing FAO-56 dual crop coefficients using eddy covariance flux partitioning," Agricultural Water Management, Elsevier, vol. 179(C), pages 92-102.
    13. Li, Yi-Jie & Yuan, Bao-Zhong & Bie, Zhi-Long & Kang, Yaohu, 2012. "Effect of drip irrigation criteria on yield and quality of muskmelon grown in greenhouse conditions," Agricultural Water Management, Elsevier, vol. 109(C), pages 30-35.
    14. Thompson, R.B. & Gallardo, M. & Valdez, L.C. & Fernandez, M.D., 2007. "Using plant water status to define threshold values for irrigation management of vegetable crops using soil moisture sensors," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 147-158, March.
    15. Jia, Xucun & Shao, Lijie & Liu, Peng & Zhao, Bingqiang & Gu, Limin & Dong, Shuting & Bing, So Hwat & Zhang, Jiwang & Zhao, Bin, 2014. "Effect of different nitrogen and irrigation treatments on yield and nitrate leaching of summer maize (Zea mays L.) under lysimeter conditions," Agricultural Water Management, Elsevier, vol. 137(C), pages 92-103.
    16. Thompson, R.B. & Gallardo, M. & Valdez, L.C. & Fernandez, M.D., 2007. "Determination of lower limits for irrigation management using in situ assessments of apparent crop water uptake made with volumetric soil water content sensors," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 13-28, August.
    17. Incrocci, Luca & Thompson, Rodney B. & Fernandez-Fernandez, María Dolores & De Pascale, Stefania & Pardossi, Alberto & Stanghellini, Cecilia & Rouphael, Youssef & Gallardo, Marisa, 2020. "Irrigation management of European greenhouse vegetable crops," Agricultural Water Management, Elsevier, vol. 242(C).
    18. Kumar, Hemendra & Srivastava, Puneet & Lamba, Jasmeet & Diamantopoulos, Efstathios & Ortiz, Brenda & Morata, Guilherme & Takhellambam, Bijoychandra & Bondesan, Luca, 2022. "Site-specific irrigation scheduling using one-layer soil hydraulic properties and inverse modeling," Agricultural Water Management, Elsevier, vol. 273(C).
    19. Beyá-Marshall, Víctor & Arcos, Emilia & Seguel, Óscar & Galleguillos, Mauricio & Kremer, Cristián, 2022. "Optimal irrigation management for avocado (cv. 'Hass') trees by monitoring soil water content and plant water status," Agricultural Water Management, Elsevier, vol. 271(C).
    20. Puppo, Lucía & García, Claudio & Bautista, Eduardo & Hunsaker, Douglas J. & Beretta, Andrés & Girona, Joan, 2019. "Seasonal basal crop coefficient pattern of young non-bearing olive trees grown in drainage lysimeters in a temperate sub-humid climate," Agricultural Water Management, Elsevier, vol. 226(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:96:y:2009:i:6:p:905-911. 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.