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On Spectral Indices as a Function of Soil Variability in Safflower Crop

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Title On Spectral Indices as a Function of Soil Variability in Safflower Crop
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Creator T.N. Hajare, N.G. Patil, K.S. Verma
 
Subject Spectral indices, Normalized differential vegetation index, Soil Variability
 
Description Not Available
Spectral indices as an indicator of physiological traits affecting safflower yield in relation to soil variability were evaluated in a two year experiment (1997–1999). Reflectance, biometric and phonological data were collected. Two indices namely normalized differential vegetation index (NDVI) and ratio of spectral reflectance in infrared region to red region (1R/R) were derived from radiometric observation. Yield data indicated significant difference in different soils. Temporal NDVI behaviour as a function of soil type was not prominent especially in early stages of crop growth. However NDVI at 75 days after sowing (DAS) was found to be relatively better indicator of plant status and yield. IR/R was relatively less effective in indicating the differential response of crop to soil types. Effect of soil and crop interaction on spectral indices was significant at 75 and 90 DAS, which was attributed to attainment of maximum leaf area and leaf area at these stages of growth. Regression analysis showed strong positive relationship between NDVI and leaf area, dry matter and yield. IR/R and leaf area had the strongest and consistent relationship (r = 0.96). A single regression equation accounted for yield variability in the dataset. Thus possible transformation of NDVI maps (satellite data) to LAI units and consequently applications like yield forecasting was indicated. Utility of spectra-temporal data as a pointer of plant development status and yield was also demonstrated.
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Date 2020-06-30T16:00:03Z
2020-06-30T16:00:03Z
2008-09-30
 
Type Research Paper
 
Identifier Hajare T. N., Patil N. G., and Verma K. S (2008). On Spectral Indices as a Function of Soil Variability in Safflower Crop. Journal of the Indian Society of Remote Sensing 36(3):267-272.DOI:10.1007/s12524-008-0027-x
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http://krishi.icar.gov.in/jspui/handle/123456789/37778
 
Language English
 
Relation Not Available;
 
Publisher Springer