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Peer-reviewedCC BY-NC-NDPhotosynthetica

Plant stress detection through a chlorophyll content-dependent relationship between Fv/Fm and the photochemical reflectance index.

7 affiliations
  1. 1Department of Applied Plant Science, Chonnam National University, 77 Yongbong-ro, 61186 Gwangju, Republic of Korea.
  2. 2National Agricultural Satellite Center, National Institute of Agricultural Science, Rural Development Administration, 310 Nongsaengmyeong-ro, 54875 Deokjin-gu, Jeonju-si, Republic of Korea.
  3. 3Smart Agricultural Technology Division, National Institute of Crop Science, Rural Development Administration, 20 Jeompiljae-ro, 50424 Miryang-si, Republic of Korea.
  4. 4Interdisciplinary Program for Agriculture & Life Science, Chonnam National University, 77 Yongbong-ro, 61186 Gwangju, Republic of Korea.
  5. 5BK21 Four Center for IT-Bio Convergence System Agriculture, Chonnam National University, 77 Yongbong-ro, 61186 Gwangju, Republic of Korea.
  6. 6Crop Environment Research Division, National Institute of Crop Sciences, Rural Development Administration, 181 Hyeoksin-ro, Iseo-myeon, 55365 Wanju-gun, Republic of Korea.
  7. 7AgriBio Institute of Climate Change Management, Chonnam National University, 77 Yongbong-ro, 61186 Gwangju, Republic of Korea.

Abstract

Optical sensing for plant stress detection requires physiologically relevant indices. Fv/Fm, representing the maximum quantum yield of photosystem II photochemistry, quantifies stress across species but requires dark adaptation, limiting field application. Photochemical reflectance index (PRI), a reflectance-based indicator of xanthophyll cycle activity, can be remotely measured, but its irregular variation complicates interpretation. Paddy rice was grown in temperature-gradient field chambers to evaluate Fv/Fm, PRI, and SPAD (soil-plant analysis development). Changes in Fv/Fm were associated with net leaf photosynthesis and showed sensitivity to stress affecting PSII, as its maximum value decreased under high-temperature stress. PRI exhibited a diurnal pattern similar to that of Fv/Fm, while the linear PRI-Fv/Fm relationship varied with SPAD values throughout the season. Utilizing this relationship, variation in Fv/Fm can be inferred from PRI and chlorophyll content, enabling spatial and temporal scaling and quantitative stress assessment. These findings support remote sensing-based plant stress diagnosis.

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BibTeX
@article{oh2026plant,
  title = {{Plant stress detection through a chlorophyll content-dependent relationship between Fv/Fm and the photochemical reflectance index.}},
  author = {D Oh and J-H Ryu and K-M Kim and H Jeong and H-D Moon and H Kim and S Choi and B-K Kim and H Won and H Yang and J Cho},
  journal = {Photosynthetica},
  year = {2026},
  month = sep,
  doi = {10.32615/ps.2026.028},
  url = {https://europepmc.org/article/MED/42974346},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Plant stress detection through a chlorophyll content-dependent relationship between Fv/Fm and the photochemical reflectance index.
AU  - D Oh
AU  - J-H Ryu
AU  - K-M Kim
AU  - H Jeong
AU  - H-D Moon
AU  - H Kim
AU  - S Choi
AU  - B-K Kim
AU  - H Won
AU  - H Yang
AU  - J Cho
PY  - 2026
DA  - 2026/09/30
JO  - Photosynthetica
DO  - 10.32615/ps.2026.028
UR  - https://europepmc.org/article/MED/42974346
AB  - Optical sensing for plant stress detection requires physiologically relevant indices. Fv/Fm, representing the maximum quantum yield of photosystem II photochemistry, quantifies stress across species but requires dark adaptation, limiting field application. Photochemical reflectance index (PRI), a reflectance-based indicator of xanthophyll cycle activity, can be remotely measured, but its irregular variation complicates interpretation. Paddy rice was grown in temperature-gradient field chambers to evaluate Fv/Fm, PRI, and SPAD (soil-plant analysis development). Changes in Fv/Fm were associated with net leaf photosynthesis and showed sensitivity to stress affecting PSII, as its maximum value decreased under high-temperature stress. PRI exhibited a diurnal pattern similar to that of Fv/Fm, while the linear PRI-Fv/Fm relationship varied with SPAD values throughout the season. Utilizing this relationship, variation in Fv/Fm can be inferred from PRI and chlorophyll content, enabling spatial and temporal scaling and quantitative stress assessment. These findings support remote sensing-based plant stress diagnosis.
SN  - 0300-3604
SN  - 1573-9058
ER  -