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<p>Papaya (<i>Carica papaya</i> L.) is an economically significant tropical fruit tree crop prized for its nutritional and economic value. Yet its cultivation is severely devastated by <i>Papaya ringspot virus</i> (PRSV), a very virulent pathogen responsible for typical foliar mosaic, chlorosis, and ring lesions that eventually induce yield loss and plant decline. In the present study, hyperspectral reflectance (350–1050&#xa0;nm) of papaya leaf was used to quantify spectral changes with increasing PRSV severity. Diseased leaves exhibited elevated reflectance at the visible wavelengths, most notably around 550&#xa0;nm, as a result of chlorophyll breakdown, as well as a decreased red-edge slope, indicative of dysfunctional chlorophyll. Near-infrared reflectance also rose with severity of disease, possibly as a result of disturbances in internal leaf structure and water relations. Indices of vegetation like NDVI, SR, GNDVI, R<sub>re</sub>, RVI and GRVI reduced systematically with increasing disease, whereas the Red-edge index increased. Principal component analysis (PCA) showed high inter-correlations between indices, with the Red-edge index explaining unique additional variance. Results highlighted the potential of hyperspectral sensing as an unobtrusive, high-resolution approach to the early detection and tracking of PRSV infection in papaya production systems.</p>

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Spectral signatures and vegetation indices response of papaya leaves to Papaya ringspot virus infection under field conditions

  • 期刊论文

  • 发表日期：

    2026年6月29日

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  • Darshan M. Parmar,
  • Rucha Dave,
  • R. G. Parmar,
  • Abishek Murugesan,
  • Chandrika Parmar,
  • D. R. Prajapati,
  • D. B. Sisodiya,
  • Puja Pandey,
  • R. R. Mevada

摘要

Papaya (Carica papaya L.) is an economically significant tropical fruit tree crop prized for its nutritional and economic value. Yet its cultivation is severely devastated by Papaya ringspot virus (PRSV), a very virulent pathogen responsible for typical foliar mosaic, chlorosis, and ring lesions that eventually induce yield loss and plant decline. In the present study, hyperspectral reflectance (350–1050 nm) of papaya leaf was used to quantify spectral changes with increasing PRSV severity. Diseased leaves exhibited elevated reflectance at the visible wavelengths, most notably around 550 nm, as a result of chlorophyll breakdown, as well as a decreased red-edge slope, indicative of dysfunctional chlorophyll. Near-infrared reflectance also rose with severity of disease, possibly as a result of disturbances in internal leaf structure and water relations. Indices of vegetation like NDVI, SR, GNDVI, Rre, RVI and GRVI reduced systematically with increasing disease, whereas the Red-edge index increased. Principal component analysis (PCA) showed high inter-correlations between indices, with the Red-edge index explaining unique additional variance. Results highlighted the potential of hyperspectral sensing as an unobtrusive, high-resolution approach to the early detection and tracking of PRSV infection in papaya production systems.