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Assessment of Water Status in Wheat (Triticum aestivum L.) Using Ground Based Hyperspectral Reflectance

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Proceedings of the National Academy of Sciences, India Section B: Biological Sciences Aims and scope Submit manuscript

Abstract

Field experiments were conducted with four levels of irrigation and nitrogen on wheat for 2 years (2009–2010 and 2010–2011) to quantify and predict the crop water status using hyperspectral remote sensing. Hyperspectral reflectance in 350–2500 nm range was recorded at five growth stages. Based on highest correlation between relative leaf water content (RLWC) and reflectance in five water bands, the booting stage was identified as the most suitable stage for water stress evaluation. Ten hyperspectral water indices were calculated using the first year booting stage reflectance data and prediction models for RLWC and equivalent water thickness (EWT) based on these ten indices were developed. The prediction models for RLWC based on moisture stress index (MSI), normalized difference infrared index (NDII), normalized difference water index1640 (NDWI1640) and normalized multi-band drought index (NMDI) were identified as the most precise and accurate models as indicated by different validation statistics. The models developed for EWT based on water band index (WBI), MSI, NDWI1640 and NMDI were found to be most suitable and accurate. These indices were found to be insensitive to N stress treatments indicating their ability to detect water deficiency as the cause of plant stress. Thus, the study identified four hyperspectral water indices to assess the wheat crop water status at booting stage and developed their respective predictive models.

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Acknowledgments

The first author acknowledges the financial support provided by Council of Scientific and Industrial Research, New Delhi, India in terms of scholarship and contingency grant to conduct the research work for three years. The authors also acknowledge the support provided by the Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi, India in terms of all the facilities required for this research. The authors declare that there is no conflict of interest related to this study.

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Authors and Affiliations

  1. Indian Institute of Soil and Water Conservation, Research Centre, Datia, Madhya Pradesh, 475661, India

    Rajeev Ranjan & Monalisha Pramanik

  2. Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi, 110012, India

    R. N. Sahoo, U. K. Chopra & S. Pradhan

  3. Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, Madhya Pradesh, 474002, India

    A. K. Singh

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  1. Rajeev Ranjan
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  4. Monalisha Pramanik
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Correspondence to Rajeev Ranjan.

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Ranjan, R., Sahoo, R.N., Chopra, U.K. et al. Assessment of Water Status in Wheat (Triticum aestivum L.) Using Ground Based Hyperspectral Reflectance. Proc. Natl. Acad. Sci., India, Sect. B Biol. Sci. 87, 377–388 (2017). https://doi.org/10.1007/s40011-015-0618-6

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  • DOI: https://doi.org/10.1007/s40011-015-0618-6

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