• OpenAccess
  • Wheat Yield Response to Water Deficit under Central Pivot Irrigation System Using Remote Sensing Techniques  [ICAS 2015]
  • DOI: 10.4236/wjet.2015.33B011   PP.65 - 72
  • Author(s)
  • M. A. El-Shirbeny, A. M. Ali, A. Rashash, M. A. Badr
  • Scarcity of rainfall and limited irrigation water resources is the main challenge for agricultural expanding policies and strategies. At the same time, there is a high concern to increase the area of wheat cultivation in order to meet the increasing local consumption. The big challenge is to incerese wheat production using same or less amount of irrigation water. In this trend, the study was carried out to analyze the sensitivity of wheat yield to water deficit using remotely sensed data in El-Salhia agricultural project which located in the eastern part of Nile delta. Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) were extracted from Landsat 7. Water Deficit Index (WDI) used both LST minus air temperature (Tair) and vegetation index to estimate the relative water status. Yield response factor (ky) was derived from relationship between relative yield decrease and relative evapotranspiration deficit. The relative Evapotranspiration deficit was replaced by WDI. Linear regression was found between predicted wheat yield and actual wheat yield with 0.2?6, 0.025, 0.252 and 0.76 as correlation coefficient on 30th of Dec. 2012, 15th of Jan. 2013, 16th of Feb. 2013 and 20th of Mar. 2013 respectively. The main objective of this study is using a combination between FAO 33 paper approach and remote sensing techniques to estimate wheat yield response to water.

  • Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), Water Deficit Index (WDI), Yield Response Factor (ky), Arid Region and Egypt
  • References
  • [1]
    Zwart, S.J. and Bastiaanssen, W.G.M. (2004) Review of Measured Crop Water Productivity Values for Irrigated Wheat, Rice, Cotton and Maize. Agricultural Water Management, 69, 115-133.
    Acevedo, E.H., Silva, P.C., Silva, H.R. and Solar, B.R. (1999) Wheat Production in Mediterranean Environments. In: Satorre, E.H. and Slafer, G.A., Eds., Wheat Ecology and Physi-ology of Yield Determination, Food Products Press, New York, 295-323.
    Loss, S.P. and Siddique, K.H.M. (1994) Morphological and Physiological Traits Associated with Wheat Yield Increases in Mediterranean Environments. Ad-vances in Agronomy, 52, 229-276.
    Slafer, G.A. (2003) Genetic Basis of Yield as Viewed from a Crop Physiologist’s Perspective. Annals of Applied Biology, 142, 117-128.
    Royo, C., Villegas, D., Rharrabti, Y., Blanco, R., Martos, V. and Garcia del Moral, L.F. (2006) Grain Growth and Yield Formation of Durum Wheat Grown at Contrasting Lati-tudes and Water Regimes in a Mediterranean Environment. Cereal Research Communications, 34, 1021-1028.
    Doorenbos, J. and Kassam, O.W. (1979) Yield Response to Water. FAO Irrigation And Drainage, Paper No. 33, FAO, Rome.
    Allen, R.G., Perrier, L.S., Raes, D. and Smith, M. (1998) Crop Evapotranspiration: Guidelines for Computing Crop Requirements,. FAO Irrigation and Drainage, Paper No. 56, Rome.
    Magliulo, V., d’Andria, R. and Rana, G. (2003) Use of the Modified Atmometer to Estimate Reference Evapotranspiration in Mediterranean Environments. Agricultural Water Management, 63, 1-14.
    da Silva,, Borges, C.J.R, Farias, C.H.A., Singh, V.P., Albuquerque, W.G. and da Silva, B.B. (2012) Water Requirements and Single and Dual Crop Coefficients of Sugarcane Grown in a Tropical Region, Brazil. Agricultural Sciences, 3, 274-286.
    Kamble, B., Kilic, A. and Hubbard, K. (2013) Estimating Crop Coeffi-cients Using Remote Sensing-Based Vegetation Index. Remote Sensing, 5, 1588-1602.
    El-Shirbeny, M.A., Ali, A. and Saleh, N. (2014) Crop Water Requirements in Egypt Using Remote Sensing Techniques. Journal of Agricultural Chemistry and Environment, 3, 57-65.
    El-Shirbeny, M.A., Ali, A.M., Badr, M.A. and Bauomy, E.M. (2014) Assessment of Wheat Crop Coefficient Using Remote Sensing Techniques. World Research Journal of Agricultural Sciences, 1, 12-17.
    El-Shirbeny, M.A., Saleh, N.H. and Ali, A.M. (2014) Estimation of Potential Crop Evapotrans-piration Using Remote Sensing Techniques. Proceedings of the 10th International Conference of AARSE, 460-468.
    El-Shirbeny, M.A., Alsersy, M.A.M., Saleh, N.H. and Abu-Taleb, K.A. (2015) Changes in Irrigation Water Consumption in the Nile Delta of Egypt Assessed by Remote Sensing. Arabian Journal of Geosciences (in Press).
    Peltonen-Sainio, P., Kangas, A., Salo, Y. and Jauhiainen, L. (2007) Grain Number Dominates Grain Weight in Temperate Cereal Yield Determination: Evidence Based on 30 Years of Multi-Location Trials. Field Crops Research, 100, 179-188.
    Westgate, M.E., Passioura, J.B. and Munns, R. (1996) Water Status and ABA Content of Floral Organs in Drought- Stressed Wheat. Australian Journal of Plant Physiology, 23, 763-772.
    Foulkes, M.J., Sylvester-Bradley, R., Weightman, R. and Snape, J.W. (2007) Identifying Physiological Traits Associated with Improved Drought Resistance in Winter Wheat. Field Crops Research, 103, 11-24.
    Rajala, A., Hakala, K., Makela, P., Muurinen, S. and Peltonen-Sainio, P. (2009) Spring Wheat Response to Timing of Water Deficit through Sink and Grain Filling Capacity. Field Crops Research, 114, 263-271.
    Hiler, E.A. and Clark, R.N. (1971) Stress Day Index to Characterize Effects of Water Stress on Crop Yields. Transactions of Hydrology (210-VI-NEH).
    Dardanelli, J.L., Ritchie, J.T., Calmon, M., Andrianiand, J.M. and Collino, D.J. (2004) An Empirical Model for Root Water Uptake. Field Crops Re-search, 87, 59-71.
    Moran, M.S., Clarke, T.R., Inoue, Y. and Vidal, A. (1994) Estimating Crop Water Deficit Using the Relation between Surface Air Temperature and Spectral Vegetation Index. Remote Sensing of Environment, 49, 246-263.
    Clarke, T.R. (1997) An Empirical Approach for Detecting Crop Water Stress Using Multi-Spectral Airborne Sensors. Horticulture Technology, 7, 9-16.
    El-Shirbeny, M.A., Aboelghar, M.A., Arafat, S.M. and El-Gindy, A.G.M. ( 2014) Assessment of the Mutual Impact between Climate and Ve-getation Cover Using NOAA-AVHRR and Landsat Data in Egypt. Arabian Journal of Geosciences, 7, 1287-1296.
    Valor, E. and Caselles, V. (1996) Mapping Land Surface Emis-sivity from NDVI: Application to European, African and South American Areas. Remote Sensing of Environment, 57, 167-184.
    Goetez, S.J., Halthore, R.N., Hall, F.G. and Mark-ham, B.L. (1995) Surface Temperature Retrieval in Temperate Grassland with Multi-Resolution Sensors. Journal of Geophysical Research, 100, 397-410.
    Norman, J.M., Divakarla, M. and Goel, N.S. (1995) Algorithms for Extract-ing Information from Remote Thermal-IR Observations of the Earth’s Surface. Remote Sensing of Environment, 51, 157-168.
    Hiler, E.A. and Clark, R.N. (1971) Stress Day Index to Cha-racterize Effects of Water Stress on Crop Yields. Transactions of Hydrology (210-VI-NEH).
    Jackson, R.D., Idso, S.B., Reginato, R.J. and Pinter, P.J. (1981) Canopy Temperature as a Crop Water Stress Indicator, Water Resource Research, 17, 1133-1138.

Engineering Information Institute is the member of/source content provider to