Investigation of Water Stress Status of Olive Trees Using Crop Water Stress Index

Document Type : Research Paper

Authors

1 Ph. D. student, irrigation and drainage department, Water science College, Shahid Chamran University, Ahvaz

2 Associate Professor, Irrigation and Drainage Department, Water Science Faculty, Shahid Chamran University of Ahwaz, Ahwaz, Iran.

3 Full Professor of Irrigation and drainage department, Water science faculty, Shahid Chamran University of Ahwaz, Ahwaz, Iran

4 Assistant professor of Horticulture science, Agriculture College, Shahid Chamran University of Ahvaz

Abstract

The aim of this study was to assess the crop water stress index (CWSI), derived from leaf temperature using infrared thermometer measurements, to investigate the water stress status and irrigation timing of olive trees. Fpr this purpose a regression function was determined between crop water stress index and relative water content of leaf (RWC) and soil water content (SWC). The experimental treatments involved two olive cultivars (Koroneiki and T2) and four water regimes (irrigation of 100, 85, 70 and 55% of crop water requirement). The results showed that the non-water stressed baseline is varied throughout the study period as well as during the day. The daily variations of non-water stressed baseline were mainly due to variations in the intercept of the non-water stressed baseline that can be explained by variations in zenith solar angle. After investigating the relationship between vapor pressure deficit (VPD) and the difference between crop and air temperature (), the equation of Tc-Ta = -0.45 VPD+1.06, r2 = 0.99 was determined for the non-water stressed baseline of the olive trees at 12:30 pm. The effect of irrigation regime on water stress index of Kroneiki and  olive trees was not significant in none of the measurements during the study period. However, crop water stress index was significantly correlated with relative water content (Kroneiki: r2=0.67**, : r2=0.88**) and soil water content (Kroneiki: r2=0.74**, : r2=0.78**). Therefore, the crop water stress index is a good indicator of the water stress status of the Koroneiki and T2 olive trees.

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Agam, N., Cohen, Y., Berni, J.A.J., Alchanatis, V., Cool, D., Dag, A., Yermiyahu, U. and Ben-Gal, A. (2013). An insight to the performance of crop water stress index for olive trees. Agricultural Water Management, 118, 79-86.
Akkuzu, E., Kaya, U., Çamoğlu, G., Mengü, G.P. and Aşik, S. (2013) Determination of Crop Water Stress Index and Irrigation Timing on OliveTrees Using a Handheld Infrared Thermometer. Irrigation and drainage, ASCE, 139, 728-737.
Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. (1998). Crop Evapotranspiration. Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage. Paper No. 56, FAO, Rome, Italy, pp. 300.
Bellvert, J., Zarco-Tejada, P.J., Fereres, E. and Girona, J. (2014). Mapping crop water stress index in a ‘Pinot-noir‘ vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle. Precision Agriculture, 15, 361–376.
Ben-Gal, A., Agam, N., Alchanatis, V., Cohen, Y., Yermiyahu, U., Zipori, I., Presnov, E.,Sprintsin, M. and Dag, A. (2009). Evaluating water stress in irrigated olives: correlation of soil water status, tree water status, and thermal imagery. Irrigation Science, 27, 367-376.
Berenguer, M.J., Vossen, P.M., Grattan, S.R., Connell, J.H. and Polito, V.S. (2006). Tree irrigation levels for optimum chemical and sensory properties of olive oil. Horticultural Science, 41, 427-432.
Berni, J.A.J., Zarco-Tejada, P.J., Sepulcre-Canto, G., Fereres, E. and Villalobos, F. (2009). Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sensing of Environment, 113, 2380-2388.
Candogan, B.N., Sincik, M., Buyukcangaz, H., Demirtas, C., Goksoy, A.T., and Yazgan,S. (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, 118, 113-121.
Cohen, Y., Alchanatis, V., Meron, M., Saranga, Y. and Tsipris, J. (2005). Estimation of leaf water potential by thermal imagery and spatial analysis. Journal of Experimental Botany, 56 (417), 1843-1852.
Egea, G., Padilla-Diaz, C.M., Martinez-Guanter, J., Fernandez, J.E., and Perez-Ruiza, M. (2017). Assessing a crop water stress index derived from aerial thermal imaging and infrared thermometry in super-high density olive orchards. Agricultural Water Management, 187, 210-221.
Elsayed, S., Elhoweity, M., Ibrahim, H.H., Dewir, Y.H., Migdadi, H.M. and Schmidhalter, U. (2017). Thermal imaging and passive reflectance sensing to estimate the water status and grain yield of wheat under different irrigation regimes. Agricultural Water Management, 189, 98-110.
Elsayed, S., Elhoweity, M. and Schmidhalter, U. (2015). Normalized difference spectral indices and partial least squares regression to assess the yield and yield components of peanut. Australian Journal of Crop Science, 9, 976-986.
Elsayed. S., Mistele, B. and Schmidhalter, U. (2011). Can changes in leaf water potential be assessed spectrally? Functional Plant Biology, 38, 523-533.
Fabbri, A. (2004). Olive propagation manual, CSIRO, Collingwood, Victoria.
Fernandez, J.E, and Cuevas, M.V. (2010). Irrigation scheduling from stem diameter variations: a review. Agriculture forest meteorology, 150 (2), 135-151.
Fernandez, J.E., Green, S.R., Caspari, H.W., Diaz-Espejo, A. and Cuevas, M.V. (2008). The use of sap flow measurements for scheduling irrigation in olive, apple and Asian pear trees and in grapevines. Plant and Soil, 305, 91-104.
Fernandez, J.E., Moreno, F., Giron, I.F. and Blazquez, O.M. (1997). Stomatal control of water use in olive tree leaves. Plant and Soil, 190, 179-192.
Garcia-Tejero, I.F., Hernandez, A., Padilla-Diaz, C.M., Diaz-Espejo, A. and Fernandez, J.E., (2017). Assessing plant water status in a hedgerow olive orchard from thermography at plant level. Agricultural Water Management, 188, 50-60.
Gates, D.M. (1964). Leaf temperature and transpiration. Agronomy Journal. 56, 273-277.
Gomez-Rico, A., Salvador, M.D., La Greca, M. and Fregapane, G. (2006). Phenolic and volatile compounds of extra virgin olive oil (Olea europaea L. Cv. Cornicabra) with regards to fruit ripening and irrigation management. Journal of Agricultural and Food Chemistry, 54, 7130-7136.
Gonzalez-Dugo, V., Zarco-Tejada, P.J. and Fereres, E. )2014(. Applicability and limitations of using the crop water stress index as an indicator of water deficitsin citrus orchards. Agriculture and forest meteorology, 198 -199, 94-104.
Idso, S.B., Jackson, R.D., Pinter, P.J., Reginato, R.J. and Hatfield, J.L. (1981). Normalizing the stress-degree-day parameter for environmental variability. Agricultural Meteorology, 24, 45-55.
Jackson, R.D. (1982). Canopy temperature and crop water stress. Advances in irrigation, 1, 43-85.
Jackson, R.D., Idso, S.B., Reginato, R.J. and Pinter, P.J. (1981). Canopy temperature as a crop water stress indicator. Water Resources Research, 17, 1133-1138.
Kim, Y., Glenn, D.M., Park, J., Ngugi, H.K. and Lehman, B.L. )2011(. Hyperspectral image analysis for water stress detection of apple trees. Computers and Electronics in Agriculture, 77, 155-160.
Maes, W.H. and Steppe, K. (2012). Estimating evapotranspiration and drought stress with ground-based thermal remote sensing in agriculture: a review. Journal of Experimental Botany, 63, 4671-4712.
Maki, M., Ishiahra, M. and Tamura, M. (2004) Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data. Remote Sensing of Environment, 90, 441-450.
Mangus, D.L, Sharda, A. and Zhang, N. (2016). Development and evaluation of thermal infrared imaging system for high spatial and temporal resolution crop water stress monitoring of corn within a greenhouse. Computers and Electronics in Agriculture, 121, 149-159.
Monteith, J.L. (1973). Principles of Environmental Physics. Edward Arnold, London.
Moriana, A., Orgaz, F., Fereres, E. and Pastor, M. (2003). Yield responses of a mature olive orchard to a water deficits. Journal of American Society for Horticultural Science, 128, 425-431.
Murray, F.W. (1967). On the computation of saturation vapor pressure. Journal of Applied Meteorology, 6, 203-204.
Pu, R., Ge, S., Kelly, N. and Gong, P. (2003). Spectral absorption features as indicators of water status in coast live oak (Quercus Agrifolia) leaves. International Journal of Remote Sensing, 24, 1799-1810.
 
Testi, L., Goldhamer, D.A., Iniesta., F. and Salinas, M. (2008). Crop water stress index is a sensitive water stress indicator in pistachio trees. Irrigation Science, 26, 395-405.
Tovar, M.J., Romero, M.P., Girona, J. and Motilva, M.J. (2002). L-Phenylalanine ammonia-lyase activity and concentration of phenolics in developing olive (Olea europaea L. cv Arbequina) fruit grown under different irrigation regimes. Journal of the Science of Food and Agriculture, 82, 892-898.
Schlemmer, M.R., Francis, D.D., Shanahan, J.F. and Schepers, J.S. (2005). Remotely measuring chlorophyll content in corn leaves with differing nitrogen levels and relative water content. Agronomy Journal, 97,106–112.