Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in Maize
In this study, we evaluated the effectiveness of photochemical reflectance index (PRI) and non-photochemical quenching (NPQ) for assessing water stress in maize for the purpose of developing remote sensing techniques for monitoring water deficits in crops. Leaf-level chlorophyll fluorescence and can...
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| Format: | Article |
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MDPI AG
2017-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/9/8/794 |
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| author | Shuren Chou Jing M. Chen Hua Yu Bin Chen Xiuying Zhang Holly Croft Shoaib Khalid Meng Li Qin Shi |
| author_facet | Shuren Chou Jing M. Chen Hua Yu Bin Chen Xiuying Zhang Holly Croft Shoaib Khalid Meng Li Qin Shi |
| author_sort | Shuren Chou |
| collection | DOAJ |
| description | In this study, we evaluated the effectiveness of photochemical reflectance index (PRI) and non-photochemical quenching (NPQ) for assessing water stress in maize for the purpose of developing remote sensing techniques for monitoring water deficits in crops. Leaf-level chlorophyll fluorescence and canopy-level PRI were measured concurrently over a maize field with five different irrigation treatments, ranging from 20% to 90% of the field capacity (FC). Significant correlations were found between leaf-level NPQ (NPQleaf) and the ratio of chlorophyll to carotenoid content (Chl/Car) (R2 = 0.71, p < 0.01) and between NPQleaf and the actual photochemical efficiency of photosystem II (ΔF/Fm′) (R2 = 0.81, p < 0.005). At the early growing stage, both canopy-level PRI and NPQleaf are good indicators of water stress (R2 = 0.65 and p < 0.05; R2 = 0.63 and p < 0.05, respectively). For assessment of extreme water stress on plant growth, a relationship is also established between the quantum yield of photochemistry in PSII (ΦP) and the quantum yield of fluorescence (ΦF) as determined from photochemical quenching (PQ) and non-photochemical quenching (NPQleaf) of excitation energy at different water stress levels. These results would be helpful in monitoring soil water stress on crops at large scales using remote sensing techniques. |
| first_indexed | 2024-04-11T16:24:55Z |
| format | Article |
| id | doaj.art-db6a4c89289b47fdaf655d4d388ead1c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T16:24:55Z |
| publishDate | 2017-08-01 |
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| series | Remote Sensing |
| spelling | doaj.art-db6a4c89289b47fdaf655d4d388ead1c2022-12-22T04:14:12ZengMDPI AGRemote Sensing2072-42922017-08-019879410.3390/rs9080794rs9080794Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in MaizeShuren Chou0Jing M. Chen1Hua Yu2Bin Chen3Xiuying Zhang4Holly Croft5Shoaib Khalid6Meng Li7Qin Shi8Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, ChinaDepartment of Geography and Program in Planning, University of Toronto, Toronto, ON M5S 3G3, CanadaSchool of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, ChinaSchool of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, ChinaIn this study, we evaluated the effectiveness of photochemical reflectance index (PRI) and non-photochemical quenching (NPQ) for assessing water stress in maize for the purpose of developing remote sensing techniques for monitoring water deficits in crops. Leaf-level chlorophyll fluorescence and canopy-level PRI were measured concurrently over a maize field with five different irrigation treatments, ranging from 20% to 90% of the field capacity (FC). Significant correlations were found between leaf-level NPQ (NPQleaf) and the ratio of chlorophyll to carotenoid content (Chl/Car) (R2 = 0.71, p < 0.01) and between NPQleaf and the actual photochemical efficiency of photosystem II (ΔF/Fm′) (R2 = 0.81, p < 0.005). At the early growing stage, both canopy-level PRI and NPQleaf are good indicators of water stress (R2 = 0.65 and p < 0.05; R2 = 0.63 and p < 0.05, respectively). For assessment of extreme water stress on plant growth, a relationship is also established between the quantum yield of photochemistry in PSII (ΦP) and the quantum yield of fluorescence (ΦF) as determined from photochemical quenching (PQ) and non-photochemical quenching (NPQleaf) of excitation energy at different water stress levels. These results would be helpful in monitoring soil water stress on crops at large scales using remote sensing techniques.https://www.mdpi.com/2072-4292/9/8/794non-photochemical quenchingphotochemical quenchingphotochemical reflectance indexwater stresssoil moisture |
| spellingShingle | Shuren Chou Jing M. Chen Hua Yu Bin Chen Xiuying Zhang Holly Croft Shoaib Khalid Meng Li Qin Shi Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in Maize Remote Sensing non-photochemical quenching photochemical quenching photochemical reflectance index water stress soil moisture |
| title | Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in Maize |
| title_full | Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in Maize |
| title_fullStr | Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in Maize |
| title_full_unstemmed | Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in Maize |
| title_short | Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in Maize |
| title_sort | canopy level photochemical reflectance index from hyperspectral remote sensing and leaf level non photochemical quenching as early indicators of water stress in maize |
| topic | non-photochemical quenching photochemical quenching photochemical reflectance index water stress soil moisture |
| url | https://www.mdpi.com/2072-4292/9/8/794 |
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