Metabolite-derived spectral modelling can differentiate heat and drought stress under hot-dry environments

Increasing combined heat and drought extremes due to climate change heighten the risk of crop failure, underscoring the need for improved stress diagnosis for effective management strategies. However, current plant physiology indicators struggle to differentiate crop stresses in hot-dry environments. This study proposes using specific leaf metabolites, detectable by leaf reflectance spectra, for more precise identification of heat and drought stress compared to traditional methods. We conducted two rounds of one-week drought treatments under heat stress on soybean seedlings. Throughout the experiment, we monitored stomatal conductance, reflectance spectra, and metabolites, including Abscisic Acid (ABA), Jasmonic Acid (JA), Salicylic Acid (SA), and proline (Pro), on a daily basis. Our findings revealed that ABA and JA exhibited differential sensitivities to drought and heat stress, respectively. In contrast, stomatal conductance was unable to differentiate between the two stressors. Using partial least-squares regression (PLSR), we determined that both ABA and JA could be detected via leaf spectroscopy with moderate predictive performance (R 2 = 0.53, relative RMSE = 14.28 %; R 2 = 0.53, relative RMSE = 14.96 %) and exhibited distinct sensitive spectral signatures. The metabolite-derived, stress-specific spectral models enable more precise and earlier diagnosis and differentiation of stress in a hot-dry environment than traditional physiological indicators (e.g., relying on stomatal conductance). This study provides an example of using metabolites as novel stress indicators, which could contribute to precision agriculture, offering the potential for accurate, stress-specific, and pre-physiological detection of crop health. • Metabolites differentially respond to heat and drought in a hot-dry condition. • Stomatal conductance is co-regulated by heat and drought. • Leaf spectra can detect and differentiate stress-specific metabolites. • Abscisic acid, Jasmonic acid and proline have distinct spectral signatures. • Metabolite spectra offer an earlier, precise drought signal in hot-dry conditions.

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Publication Details

Journal
Remote Sensing of Environment
Published
2025-06-27
DOI
https://doi.org/10.1016/j.rse.2025.114884
Citations
3
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
3.32
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Metabolite-derived spectral modelling can differentiate heat and drought stress under hot-dry environments

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3 citations
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article

Metabolite-derived spectral modelling can differentiate heat and drought stress under hot-dry environments

Shichao Jin, Qin Ma, Hon‐Ming Lam, Guoyang Feng, Lei Zhou, Kejing Cheng, Jin Wu, Jiaoping Zhang, Yanjun Su, Xinyu Zhang, Fan Zhang, Wanlu Zhong
article en
3 citations

Abstract

Increasing combined heat and drought extremes due to climate change heighten the risk of crop failure, underscoring the need for improved stress diagnosis for effective management strategies. However, current plant physiology indicators struggle to differentiate crop stresses in hot-dry environments. This study proposes using specific leaf metabolites, detectable by leaf reflectance spectra, for more precise identification of heat and drought stress compared to traditional methods. We conducted two rounds of one-week drought treatments under heat stress on soybean seedlings. Throughout the experiment, we monitored stomatal conductance, reflectance spectra, and metabolites, including Abscisic Acid (ABA), Jasmonic Acid (JA), Salicylic Acid (SA), and proline (Pro), on a daily basis. Our findings revealed that ABA and JA exhibited differential sensitivities to drought and heat stress, respectively. In contrast, stomatal conductance was unable to differentiate between the two stressors. Using partial least-squares regression (PLSR), we determined that both ABA and JA could be detected via leaf spectroscopy with moderate predictive performance (R 2 = 0.53, relative RMSE = 14.28 %; R 2 = 0.53, relative RMSE = 14.96 %) and exhibited distinct sensitive spectral signatures. The metabolite-derived, stress-specific spectral models enable more precise and earlier diagnosis and differentiation of stress in a hot-dry environment than traditional physiological indicators (e.g., relying on stomatal conductance). This study provides an example of using metabolites as novel stress indicators, which could contribute to precision agriculture, offering the potential for accurate, stress-specific, and pre-physiological detection of crop health. • Metabolites differentially respond to heat and drought in a hot-dry condition. • Stomatal conductance is co-regulated by heat and drought. • Leaf spectra can detect and differentiate stress-specific metabolites. • Abscisic acid, Jasmonic acid and proline have distinct spectral signatures. • Metabolite spectra offer an earlier, precise drought signal in hot-dry conditions.

Remote Sensing of EnvironmentVol. 328
Nanjing Agricultural University (CN), Nanjing Normal University (CN), Chinese University of Hong Kong (HK), Chinese Academy of Sciences (CN), Hong Kong Biotechnology Organization (CN), Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application (CN), Institute of Botany (CN), University of Hong Kong (HK)
Climate action
Openalex Percentile: Top 8%
Plant Water Relations and Carbon Dynamics
3.32
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