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Assessing shaded-leaf effects on photochemical reflectance index (PRI) for water stress detection in winter wheat
- Source :
- Biogeosciences, Vol 16, Pp 2937-2947 (2019)
- Publication Year :
- 2019
- Publisher :
- Copernicus Publications, 2019.
-
Abstract
- The photochemical reflectance index (PRI) has emerged to be a pre-visual indicator of water stress. However, whether the varying shaded-leaf fractions, which may be caused by multiple view angles or the changing crop density in the field, affect the performance of PRI in detecting water stress of crops is still uncertain. This study evaluated the impact of the varying shaded-leaf fractions on estimating relative water content (RWC) across growth stages of winter wheat using seven formulations of PRI. Results demonstrated that for the control treatment the mean PRI of sunlit leaves was slightly higher than those of shaded leaves, but the difference between PRI of sunlit and shaded leaves increased as water resources became more limiting. Despite the difference between PRI of sunlit and shaded leaves, the significance of the linear relationship between RWC and most studied formulations of PRI did not show obvious variations with shadow fractions, except for the 100 % shaded-leaf condition. Among the studied formulations of PRI, PRI3 based on reflectance at 512 nm as the reference band provided the most accurate estimates of RWC with varying shaded-leaf fractions, except for the 100 % shaded-leaf condition. The slope and the intercept of linear regression models with PRI3 also showed minimized variations with shaded-leaf fractions. We then applied a uniform RWC prediction model to the data of varying shaded-leaf fractions and found that the accuracy of RWC predictions was not significantly affected in the mixture of sunlit and shaded leaves. However, RWC estimated with PRI of the 100 % shaded-leaf condition had the highest root mean square error (RMSE), implying that PRI of the pure shaded leaves may yield inaccurate estimates of plant water status.
- Subjects :
- 010504 meteorology & atmospheric sciences
Water stress
Winter wheat
lcsh:QE1-996.5
0211 other engineering and technologies
lcsh:Life
02 engineering and technology
Photochemical Reflectance Index
01 natural sciences
Reflectivity
Crop
lcsh:Geology
Horticulture
lcsh:QH501-531
lcsh:QH540-549.5
Linear regression
lcsh:Ecology
Multiple view
Water content
Ecology, Evolution, Behavior and Systematics
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Earth-Surface Processes
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 17264189 and 17264170
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Biogeosciences
- Accession number :
- edsair.doi.dedup.....52d63e688a5cf8b794631f0ace8c68e9