Possibilities of Cucumber Powdery Mildew Detection by Visible and Near-Infrared Spectroscopy
Agronomy Research 2022
Ina Alsiņa, Gunita Bimšteine, Laila Dubova, J. Kaņeps, Krists Kviesis, B. Bankina, Māra Dūma, Ansis Avotiņš

Cucumbers are one of the most demanded and widely grown greenhouse vegetables. Important factors that influence quality and quantity of yield are diseases. Powdery mildew (caused by Podosphaera xanthii and/or Golovinomyces cichoracearum), is one of the most harmful cucumber diseases. Early detection of mildew via non-destructive methods can optimize schemes of fungicide application. The study aimed to find regularities in the reflected light spectra, indices described in the literature, and severity of mildew. Plants were grown in the polycarbonate greenhouse under artificial lighting in a 16 h photoperiod with PAR at the tips of plants 200 ± 30 μmol m-2 s-1. Leaf reflection spectra were obtained using spectroradiometer RS-3500 (Ltd. Spectral Evolution). Spectral range 350–2,500 nm, bandwidth 1 nm. The severity of cucumber mildew was evaluated using 10 point scale (0- no symptoms, … 9 - the plant is dead). The vegetation indices found in the literature have been calculated. The obtained results show that the calculated indices have different sensitivities. The strongest correlation between the degree of cucumbers infection with powdery mildew and the light reflectance spectrum was found in the green range of visible light around 550 nm. Disease-Water Stress Index-2 (DSWI-2), Structure Intensive Pigment Index (SIPI), and Normalized Difference Vegetation Index (NDVI) are the most suitable indices for determining powdery mildew in cucumbers. New indices for detection of powdery mildew have been created. None of the studied indices allows determining the powdery mildew at the early stages of disease development when powdery mildew severity is below 10%.

Atslēgas vārdi
Cucumis sativus | DSWI | Golovinomyces cichoracearum | NDVI | Podosphaera xanthii | SIPI

Alsiņa, I., Bimšteine, G., Dubova, L., Kaņeps, J., Kviesis, K., Bankina, B., Dūma, M., Avotiņš, A. Possibilities of Cucumber Powdery Mildew Detection by Visible and Near-Infrared Spectroscopy. Agronomy Research, 2022, Vol. 20, No. 1, 5.-15.lpp. ISSN 1406-894X. Pieejams: doi:10.15159/AR.22.003

Publikācijas valoda
English (en)
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