Application of optical methods to assess physiological damage to wheat flag leaves

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Abstract

The study explores the possibility of using hyperspectral imaging and RGB photography as a fast and reliable method for determining the chlorophyll content to assess the state of the photosynthetic apparatus. The results of an evaluation of the relationships between the spectral characteristics of the flag leaves reflectivity of wheat, the characteristics of their color and chlorophyll content under conditions of the presence and absence of flooding are presented. It has been revealed that the most accurate assessment of the state of plants can be derived based on the NDVI705 vegetation index obtained by hyperspectral data processing.

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About the authors

E. N. Baranova

All-Russia Research Institute of Agricultural Biotechnology; N. V. Tsitsin Main Botanical Garden of Russian Academy of Sciences; Moscow Timiryazev Agricultural Academy Russian State Agrarian University; Institute of Development Strategy

Author for correspondence.
Email: photonics@technosphera.ru
ORCID iD: 0000-0001-8169-9228

PhD in biological sciences, senior researcher, All-Russian Research Institute of Agricultural Biotechnology of the Russian Academy of Sciences; junior Researcher, N. V. Tsitsin Main Botanical Garden of the Russian Academy of Sciences; Associate Professor, K. A. Timiryazev Moscow Agricultural Academy Russian State Agrarian University; scientific consultant, ANO Institute for Development Strategy

Russian Federation, Moscow; Moscow; Moscow; Moscow

O. V. Shelepova

N. V. Tsitsin Main Botanical Garden of Russian Academy of Sciences

Email: photonics@technosphera.ru
ORCID iD: 0000-0003-2011-6054

PhD in biological sciences, senior researcher

Russian Federation, Moscow

A. A. Zolotukhina

Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences

Email: photonics@technosphera.ru
ORCID iD: 0000-0003-1043-7014

research engineer

Russian Federation, Moscow

G. V. Nesterov

Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences

Email: photonics@technosphera.ru
ORCID iD: 0009-0000-8647-6170

research engineer

Russian Federation, Moscow

K. A. Sudarikov

Institute of Development Strategy

Email: photonics@technosphera.ru
ORCID iD: 0009-0005-8734-1223

research engineer

Russian Federation, Moscow

V. V. Latushkin

Institute of Development Strategy

Email: photonics@technosphera.ru
ORCID iD: 0000-0003-1406-8965

PhD in biological sciences, senior researcher

Russian Federation, Moscow

A. A. Gulevich

All-Russia Research Institute of Agricultural Biotechnology

Email: photonics@technosphera.ru
ORCID iD: 0000-0003-4399-2903

senior researcher

Russian Federation, Moscow

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2. Fig. 1. Empirical models of the relationship between total chlorophyll content in a wheat flag leaf: a) with the value of the color tone; b) with the most effective vegetation index NDVI705

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3. Fig. 2. Color images of samples of flag leaves of wheat variety Orenburgskaya 10, a map of the most effective vegetation index NDVI705 and the spatial distribution of chlorophyll content in samples of conditionally green leaves: a) 1–8 and b) 9–15; and conditionally yellow leaves c)1–8 and d) 9–15

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Copyright (c) 2024 Baranova E.N., Shelepova O.V., Zolotukhina A.A., Nesterov G.V., Sudarikov K.A., Latushkin V.V., Gulevich A.A.

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