Issue |
BIO Web Conf.
Volume 111, 2024
2024 6th International Conference on Biotechnology and Biomedicine (ICBB 2024)
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Article Number | 03003 | |
Number of page(s) | 5 | |
Section | Medical Testing and Health Technology Integration | |
DOI | https://doi.org/10.1051/bioconf/202411103003 | |
Published online | 31 May 2024 |
The change of SPAD value and the establishment of correlation model of lettuce in intercropping mode
1 School of Science, Changchun Institute of Technology, 130012 Changchun, Jilin, China
2 Research Center for Inorganic Chemistry, Changchun Institute of Technology, 130012 Changchun, Jilin, China
* Corresponding author: 785181537@qq.com
In order to find out the change rule of SPAD value in lettuce leaves and the rapid, non-destructive and more accurate detection method of chlorophyll content in lettuce leaves under intercropping mode, the effect of intercropping on SPAD value in lettuce leaves was studied and the correlation model between chlorophyll content and SPAD value was established. The results show that the SPAD value of lettuce leaves increases at first and then decreases slowly with the development of the days of aerosol culture, and intercropping has obvious advantage in the middle and late stages of aerosol culture. At the same time, the results show that the regression equations of chlorophyll a, chlorophyll b and total chlorophyll content with SPAD value are best fitted by power equation, exponential equation and power equation respectively, and the coefficients of determination are 0.8302,0.6719 and 0.8503 respectively. The models are verified. It is found that the predicted value and the measured value of chlorophyll a, chlorophyll b and total chlorophyll content have a good correlation, and there is no significant difference, which shows that the regression models have a good prediction effect on chlorophyll content. The results provide a theoretical basis for the effect of intercropping on SPAD value of lettuce leaves and provide a reference method for rapid, nondestructive and more accurate detection of chlorophyll content in lettuce leaves.
© The Authors, published by EDP Sciences, 2024
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