Search of Reflectance Indices for Estimating Photosynthetic Activity of Wheat Plants Under Drought Stress

Global climate change and the associated increasing impact of droughts on crops challenges researchers to rapidly assess plant health on a large scale. Photosynthetic activity is one of the key physiological parameters related to future crop yield. The present study focuses on the search for reflectance parameters for rapid screening of wheat genotypes with respect to photosynthetic activity under drought conditions. The development of drought stress modelled in laboratory conditions by stopping irrigation caused changes in chlorophyll fluorescence parameters that corresponded to a decrease in photosynthetic activity. In particular, a decrease in the photochemical quantum yield of photosystem II (Φ<sub>PSII</sub>), which characterizes the rate of linear electron transport in the photosynthetic electron transport chain and is one of the most sensitive parameters responding at the early stages of drought stress, was observed. Along with the measurement of the photosynthetic activity, spectral characteristics of wheat plants were recorded using hyperspectral imaging. Normalized difference indices (NDIs) were calculated using the reflectance intensity of wheat shoots in the range from 400 to 1000 nm. Four NDIs that showed a strong correlation with the level of photosynthetic activity estimated by Φ<sub>PSII</sub> were selected from different wavelength ranges (NDI<sub>610/450</sub>, NDI<sub>572/545</sub>, NDI<sub>740/700</sub>, and NDI<sub>820/630</sub>). The indices NDI<sub>572/545</sub> and NDI<sub>820/630</sub> showed the best combination of sensitivity to soil moisture deficit and strong relationship with photosynthetic activity under drought stress. Possible molecular and physiological causes of this relationship are discussed. The use of the proposed indices will allow to monitor in detail the specific features of wheat plant response and can serve as one of the criteria for selection of the most promising genotypes in breeding of drought-tolerant cultivars.

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Publication Details

Journal
Plants
Published
2024-12-31
DOI
https://doi.org/10.3390/plants14010091
Citations
3
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
1.38

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article

Search of Reflectance Indices for Estimating Photosynthetic Activity of Wheat Plants Under Drought Stress

Vladimir Vodeneev, Maxim Lysov, Oksana Sherstneva, Firuz Abdullaev et al.
3 citations
Plants
Remote Sensing in Agriculture
1.38
article

Search of Reflectance Indices for Estimating Photosynthetic Activity of Wheat Plants Under Drought Stress

Vladimir Vodeneev, Maxim Lysov, Oksana Sherstneva, Firuz Abdullaev, P. A. Pirogova, Daria Churikova
article en
3 citations

Abstract

Global climate change and the associated increasing impact of droughts on crops challenges researchers to rapidly assess plant health on a large scale. Photosynthetic activity is one of the key physiological parameters related to future crop yield. The present study focuses on the search for reflectance parameters for rapid screening of wheat genotypes with respect to photosynthetic activity under drought conditions. The development of drought stress modelled in laboratory conditions by stopping irrigation caused changes in chlorophyll fluorescence parameters that corresponded to a decrease in photosynthetic activity. In particular, a decrease in the photochemical quantum yield of photosystem II (Φ<sub>PSII</sub>), which characterizes the rate of linear electron transport in the photosynthetic electron transport chain and is one of the most sensitive parameters responding at the early stages of drought stress, was observed. Along with the measurement of the photosynthetic activity, spectral characteristics of wheat plants were recorded using hyperspectral imaging. Normalized difference indices (NDIs) were calculated using the reflectance intensity of wheat shoots in the range from 400 to 1000 nm. Four NDIs that showed a strong correlation with the level of photosynthetic activity estimated by Φ<sub>PSII</sub> were selected from different wavelength ranges (NDI<sub>610/450</sub>, NDI<sub>572/545</sub>, NDI<sub>740/700</sub>, and NDI<sub>820/630</sub>). The indices NDI<sub>572/545</sub> and NDI<sub>820/630</sub> showed the best combination of sensitivity to soil moisture deficit and strong relationship with photosynthetic activity under drought stress. Possible molecular and physiological causes of this relationship are discussed. The use of the proposed indices will allow to monitor in detail the specific features of wheat plant response and can serve as one of the criteria for selection of the most promising genotypes in breeding of drought-tolerant cultivars.

PlantsVol. 14(1)
N.I. Vavilov Research Institute of Plant Industry (RU), N. I. Lobachevsky State University of Nizhny Novgorod (RU)
Russian Science Foundation
Climate action
Openalex Percentile: Top 17%
Remote Sensing in Agriculture
1.38
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