Correlation between chlorophyll content and spectral characteristics of wheat (Triticum aestivum L.) affected with fungal diseasesстатьяИсследовательская статья
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Дата последнего поиска статьи во внешних источниках: 8 октября 2025 г.
Аннотация:Wheat, a globally dominant cereal crop, suffers substantial yield losses due to fungal diseases, necessitating precise and timely monitoring. Spectral analysis, particularly hyperspectral techniques, offers a promising non-invasive approach to detect plant health changes by assessing reflectance linked to chlorophyll content and disease symptoms. Studies have been conducted to study the relationship between chlorophyll content and disease development with the spectral characteristics of winter wheat crops to improve the interpretation of spectral analysis results. In 2022 growing season, experimental plots with winter wheat of the Alekseich variety were laid out in the experimental field of the Federal State Budgetary Scientific Institution "Federal Research Center of Biological Plant Protection" (FSBSI FRCBPP), Russia, Krasnodar. In the experimental plots, the method of artificial infection of winter wheat crops with spores of phytopathogens was used, and field phytopathological surveys were carried out. Field surveys were accompanied by ground-based spectrometric measurements and remote sensing using an unmanned aerial vehicle (UAV). The chlorophyll content in winter wheat plant tissues was determined under laboratory conditions. The results of the analysis showed that the correlation between the content of chlorophylls a and b and the spectral characteristics of the studied winter wheat crops was determined by the predominant influence of the development of a specific disease in the prevailing conditions of a certain period of research. The possibility of differentiating the spectral characteristics of the studied winter wheat crops by the levels of disease development was determined. The assessment of the correlation of these variables of the SBC of ground-based spectrometric measurements and remote sensing also showed their statistically significant relationship in individual spectral channels.