期刊
PLANTS-BASEL
卷 8, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/plants8090346
关键词
antioxidant capacity; aromatic plants; spectral phenotyping; non-enzymatic antioxidants; oxidative stress; partial least squares regression; partial least squares discriminant analysis; permutational multivariate analysis of variance; principal coordinates analysis; vegetation indices
Advancements in techniques to rapidly and non-destructively detect the impact of tropospheric ozone (O-3) on crops are required. This study demonstrates the capability of full-range (350-2500 nm) reflectance spectroscopy to characterize responses of asymptomatic sage leaves under an acute O-3 exposure (200 ppb for 5 h). Using partial least squares regression, spectral models were developed for the estimation of several traits related to photosynthesis, the oxidative pressure induced by O-3, and the antioxidant mechanisms adopted by plants to cope with the pollutant. Physiological traits were well predicted by spectroscopic models (average model goodness-of-fit for validation (R-2): 0.65-0.90), whereas lower prediction performances were found for biochemical traits (R-2: 0.42-0.71). Furthermore, even in the absence of visible symptoms, comparing the full-range spectral profiles, it was possible to distinguish with accuracy plants exposed to charcoal-filtered air from those exposed to O-3. An O-3 effect on sage spectra was detectable from 1 to 5 h from the beginning of the exposure, but ozonated plants quickly recovered after the fumigation. This O-3-tolerance was confirmed by trends of vegetation indices and leaf traits derived from spectra, further highlighting the capability of reflectance spectroscopy to early detect the responses of crops to O-3.
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