Hyper-spectral characteristics and estimation model of leaf chlorophyll content in cotton under waterlogging stress

doi:10.13287/j.1001-9332.201710.013

Abstract

Abstract: In order to rapidly monitor chlorophyll content in cotton functional leaf, and establish the quantitative relationship between chlorophyll content and spectral characteristic parameter of single cotton leaf, cotton was pot cultivated in a rain-shelter and subjected to waterlogging at squaring stage. Cotton leaf samples were taken and measured every 3 days after waterlogging. The correlation between chlorophyll content and spectral characteristic parameter was synthetically analyzed, and then the estimation model of chlorophyll content was established and verified. The results showed that the chlorophyll content decreased with increasing waterlogging stress. The original spectral reflectance and first-order differential spectral reflectance was negatively correlated with the chlorophyll content in the band near 580 and 697 nm. The estimation model established by difference vegetation index and normalized difference vegetation index performed better than that established by linear model of single band. Furthermore, the estimation model with (DR₆₉₇-DR₇₃₈)/(DR₆₉₇+DR₇₃₈) as the independent variable fitted the best with the correlation coefficient of 0.814, which could be utilized to estimate chlorophyll content of single leaf under waterlogging stress.

XU Dao-qing, LIU Xiao-ling, WANG Wei, CHEN Min, KAN Hua-chun, LI Chang-feng, ZHENG Shu-feng. Hyper-spectral characteristics and estimation model of leaf chlorophyll content in cotton under waterlogging stress[J]. Chinese Journal of Applied Ecology, 2017, 28(10): 3289-3296.

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