Use of remote sensing for drought stress monitoring, yield prediction and varietal evaluation in castor beans (Ricinus communis L.)

The current study was taken up to investigate the utility of remote sensing tools like infrared thermometer and spectral radiometer for screening of germplasm, stress monitoring and yield prediction in castor beans (Ricinus communis L.). The study was carried out through field experiments conducted for six years (1994–1999) at Hayatnagar Research Farm, Hyderabad, India. In each year, four cultivars of castor beans, viz. VP‐1, 48‐1, GCH‐4 and Aruna, were planted on two different dates maintaining an interval of 6–8 weeks so as to expose the crop to different environments. The infrared thermometric observations like canopy–air temperature differential (T c–T a) explained 50–60% variation in soil moisture status and showed a significant relationship with soil moisture. Yield of castor beans exhibited significant inverse relationship with T c–T a, which explained 59% of variation in yield. The hybrid GCH‐4, registering comparatively lesser mean T c–T a over the entire growing period, established itself as a better cultivar. The spectrometer observations also proved GCH‐4 to be a superior genotype in view of its higher reflectance in near‐infrared region of the spectrum. The significant negative relationship of T c–T a of GCH‐4 with saturation vapour pressure deficit brought out its drought tolerance trait over the other genotypes studied. These findings at field level can be extended to wider spatial level using satellite imageries.

[1]  S. Idso,et al.  Canopy temperature as a crop water stress indicator , 1981 .

[2]  P. Vijaya Kumar,et al.  Assessment of plant-extractable soil water in castor beans (Ricinus communis L.) using infrared thermometry , 1999 .

[3]  R. N. Juárez,et al.  ENSO drought onset prediction in northeast Brazil using NDVI , 2001 .

[4]  N. Kalra,et al.  Assessing growth and yield of wheat using remotely-sensed canopy temperature and spectral indices , 1993 .

[5]  Aly Ahmed,et al.  Spectral reflectance index as an indicator of drought of field grown oilseed rape (Brassica napus L.) , 1996 .

[6]  A. Skidmore,et al.  Exploring spectral discrimination of grass species in African rangelands , 2001 .

[7]  A. Shekh,et al.  Canopy temperature and water stress quantificaiton in rainfed pigeonpea (Cajanus cajan (L.) Millsp.) , 2001 .

[8]  L. Venkataratnam,et al.  Influence of plant pigments on spectral reflectance of maize, groundnut and soybean grown in semi-arid environments , 2001 .

[9]  D. Wang,et al.  Interpretation of salinity and irrigation effects on soybean canopy reflectance in visible and near-infrared spectrum domain , 2002 .

[10]  R. Stričević,et al.  Relationships between available soil water and indicators of plant water status of sweet sorghum to be applied in irrigation scheduling , 1997, Irrigation Science.

[11]  Yoshio Inoue,et al.  Non-destructive Estimation of Water Status of Intact Crop Leaves Based on Spectral Reflectance Measurements , 1993 .

[12]  Jeffrey C. Stark,et al.  Use of canopy temperature measurements as a screening tool for drought tolerance in spring wheat , 1999 .

[13]  Neil C. Turner,et al.  Responses of seven diverse rice cultivars to water deficits I. Stress development, canopy temperature, leaf rolling and growth , 1986 .

[14]  E. T. Kanemasu,et al.  Canopy Temperature, Seed Yield, and Vapor Pressure Deficit Relationship in Soybean , 1989 .

[15]  D. Peterson,et al.  Quantifying drought for humid, temperate pastures using the Crop Water Stress Index (CWSI) , 1997 .

[16]  C. Ghersa,et al.  Crop water stress index of three maize hybrids grown in soils with different quality , 1998 .

[17]  Cecilia Stanghellini,et al.  A comparison of soil- and canopy temperature-based methods for the early detection of water stress in a simulated patch of pasture , 1994, Irrigation Science.

[18]  S. Idso,et al.  Wheat Canopy Temperature: Relation to Plant Water Potential1 , 1978 .

[19]  Nitin K. Tripathi,et al.  Spectral characterization and LAI modelling for the tea ( Camellia sinensis (L.) O. Kuntze) canopy , 2002 .

[20]  S. Idso,et al.  Remote-Sensing of Crop Yields , 1977, Science.

[21]  J. Mayer,et al.  Infrared thermal sensing of plant canopies as a screening technique for dehydration avoidance in wheat , 1982 .

[22]  V. K. Choubey,et al.  Spectral Reflectance, Growth and Chlorophyll Relationships for Rice Crop in a Semi-Arid Region of India , 1999 .

[23]  J. Hatfield,et al.  The utilization of thermal infrared radiation measurements from grain sorghum crops as a method of assessing their irrigation requirements , 2004, Irrigation Science.

[24]  E. Kanemasu,et al.  Leaf and Canopy Temperatures of Pearl Millet Genotypes under Irrigated and Nonirrigated Conditions 1 , 1983 .

[25]  R. D. Jackson,et al.  Multidate spectral reflectance as predictors of yield in water stressed wheat and barley , 1981 .

[26]  Abraham Blum,et al.  Agronomic and physiological assessments of genotypic variation for drought resistance in sorghum , 1989 .