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4595388 
Journal Article 
Relationship of Hyperspectral Reflectance Indices with Leaf N and P Concentration, Dry Matter Accumulation and Grain Yield of Wheat 
Hussain, A; Sahoo, RN; Kumar, D; Pradhan, S 
2017 
Journal of the Indian Society of Remote Sensing
ISSN: 0255-660X
EISSN: 0974-3006 
45 
773-784 
A field experiment was conducted on wheat during rabi season of year 2010-2011 and 2011-2012 at IARI, New Delhi to study the reflectance response of wheat to the nutrient omissions and identify the appropriate indices for assessing the nutrient deficiencies. Treatments comprised omission of N, P, K, S and Zn, 50% omission of N, P, and K, absolute control and optimum dose of nutrition (150-26.4-50-15-3 kg/ha N-P-K-S-Zn). The R-2 were significant and higher for the hyperspectral indices than the broad band vegetation indices. GMI-I, RI-2 dB and RI-3d, GNDVI, VOGa, VOGb, VOGc, ND705, PRI, PSNDc and REIP had higher R-2 (>0.61) for the leaf N concentration. The hyperspectral indices having highly significant correlation with leaf P concentration were PSSRc, GMI-1, ZM, RI-half, VOGa, VOGb, VOGc, mSR and REIP. Among the indices analysed PSSRc, GMI-I, VOGa, RI-2 dB, RI-3 dB, GNDVI, VOGb, VOGc and ND705 had almost a similar degree of relationship with DM accumulation with R-2 values ranging from 0.70 to 0.73. However, REIP displayed a higher degree of relationship with leaf N concentration, drymatter accumulation and grain yield as indicated by R-2 of 0.85, 0.81 and 0.95 (P = <= 0.01), respectively. It can be concluded from the study that among the hyperspectral indices REIP had a highly significant relationship with leaf N concentration, DM accumulation and grain yield. However, for leaf P concentration several hyperspectral indices viz PSSRc, GMI-1, ZM, RI-half, VOGa, VOGb, VOGc, mSR had though significant but almost similar R-2 values. 
Hyperspectral reflectance; Nutrient Omission; Nitrogen; Phosphorous; Vegetation indices; Wheat