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Spectral reflectance pattern in soybean for assessing yellow mosaic disease

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Abstract

Remote sensing technique is useful for monitoring large crop area at a single time point, which is otherwise not possible by visual observation alone. Yellow mosaic disease (YMD) is a serious constraint in soybean production in India. However, hardly any basic information is available for monitoring YMD by remote sensing. Present study examines spectral reflectance of soybean leaves due to Mungbean yellow mosaic India virus (MYMIV) infection in order to identify YMD sensitive spectral ratio or reflectance. Spectral reflectance measurement indicated significant (p < 0.001) change in reflectance in the infected soybean canopy as compared to the healthy one. In the infected canopy, reflectance increased in visible region and decreased in near infra-red region of spectrum. Reflectance sensitivity analysis indicated wavelength ~642, ~686 and ~750 nm were sensitive to YMD infection. Whereas, in yellow leaves induced due to nitrogen deficiency, the sensitive wavelength was ~589 nm. Due to viral infection, a shift occurred in red and infra-red slope (called red edge) on the left in comparison to healthy one. Red edge shift was a good indicator to discriminate yellow mosaic as chlorophyll gets degraded due to MYMIV infection. Correlation of reflectance at 688 nm (R688) and spectral reflectance ratio at 750 and 445 nm (R750/R445) with the weighted mosaic index indicated that detection of yellow mosaic is possible based on these sensitive bands. Our study for the first time identifies the yellow mosaic sensitive band as R688 and R750/R445, which could be utilized to scan satellite data for monitoring YMD affected soybean cropping regions.

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Acknowledgments

First author is thankful to PG School, IARI, New Delhi for providing support during this thesis work.

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Authors and Affiliations

  1. Division of Plant Pathology, Indian Agricultural Research Institute, New Delhi, 110012, India

    I. F. Saad Gazala, Bikash Mandal & P. Sinha

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

    R. N. Sahoo & V. K. Gupta

  3. Division of Plant Physiology, Indian Agricultural Research Institute, New Delhi, 110012, India

    Rakesh Pandey

  4. Phytotron Facility, Indian Agricultural Research Institute, New Delhi, 110012, India

    Rajendra Singh

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  1. I. F. Saad Gazala
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  2. R. N. Sahoo
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  3. Rakesh Pandey
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  4. Bikash Mandal
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  5. V. K. Gupta
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  6. Rajendra Singh
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  7. P. Sinha
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Correspondence to P. Sinha.

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Gazala, I.F.S., Sahoo, R.N., Pandey, R. et al. Spectral reflectance pattern in soybean for assessing yellow mosaic disease. Indian J. Virol. 24, 242–249 (2013). https://doi.org/10.1007/s13337-013-0161-0

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  • DOI: https://doi.org/10.1007/s13337-013-0161-0

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