Relationship of Hyperspectral Reflectance Indices with Leaf N and P Concentration, Dry Matter Accumulation and Grain Yie
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RESEARCH ARTICLE
Relationship of Hyperspectral Reflectance Indices with Leaf N and P Concentration, Dry Matter Accumulation and Grain Yield of Wheat Ashaq Hussain1 • Rabi Narayan Sahoo2 • Dinesh Kumar3 • Sanatan Pradhan2
Received: 27 January 2016 / Accepted: 5 October 2016 Ó Indian Society of Remote Sensing 2016
Abstract 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 R2 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 R2 ([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 R2 values ranging from 0.70 to 0.73. However, REIP displayed a higher degree of relationship & Ashaq Hussain [email protected] Rabi Narayan Sahoo [email protected] Dinesh Kumar [email protected] Sanatan Pradhan [email protected] 1
Present Address: Faculty of Agriculture (SKUAST-K), Wadura, Sopore, J and K 193 201, India
2
Division of Agricultural, Physics, Indian Agricultural Research Institute, New Delhi 110 012, India
3
Division of Agronomy, IARI, New Delhi 110 012, India
with leaf N concentration, drymatter accumulation and grain yield as indicated by R2 of 0.85, 0.81 and 0.95 (P = B0.01), 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 R2 values. Keywords Hyperspectral reflectance Nutrient Omission Nitrogen Phosphorous Vegetation indices Wheat
Introduction In India out of the total food grain production of 264.4 million tonnes during the year 2013–2014, wheat contributed about 95.91 (36.3%) million tonnes and continues to be the second most important crop after rice in the national food security and fertilizer consumption (GOI 2014). Wheat grain yield is closely related to crop growth status at spikelet initiation and heading stages (Chang et al. 2005). Nitrogen is an important constituent of amino acids, proteins, chlorophyll and protoplast. Chlorophyll is the primary absorber of light energy used for photosynthesis and N deficiency leads to its faster degradation and yellowing of leaves. Nitrogen stressed plants
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