Is there any relationship between SPAD units (chlorophyll) and LCC (Leaf color chart) value in case of maize or sorghum?
Yes, there is a relationship between SPAD units (Soil Plant Analysis Development), which measure chlorophyll content, and Leaf Color Chart (LCC) values in crops like maize and sorghum
SPAD readings are collinearly correlated with leaf chlorophyll content for several crops. The LCC is also highly correlated with SPAD readings and primarily presented in linear, polynomial, exponential, and homographic functional relationships
However, the specific relationship can vary depending on factors such as the crop variety, growth stage, and environmental conditions, Therefore, while SPAD and LCC values can both provide useful information about the nutritional status of a plant, they may not always give identical results
In general, when leaf color is light particularly exposed to drought in sorghum, SPAD value is lower it than watered conditions. Top dark leaf have higher SPAD value compared to that in lower side of plant.
A chlorophyll meter (SPAD) allows rapid and non-destructive determination (in situ and in vivo) of chlorophyll content, by measuring the transmittance of the leaf. However, a calibration curve must be performed in the laboratory to determine the correspondence between SPAD units and actual chlorophyll quantities (measured by the Arnon method). This relation depends on species.
Yes there is relationship between SPAD value and LCC in maize and sorghum. LCC chart in maize (developed) and sorghum (under validation) are developed using SPAD data only.
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Evaluation of the Methods for Estimating Leaf Chlorophyll Content with SPAD Chlorophyll Meters
by Runfei Zhang ,Peiqi Yang ,Shouyang Liu ,Caihong Wang andJing Liu
Remote Sens. 2022, 14(20), 5144; https://doi.org/10.3390/rs14205144
"Leaf chlorophyll content (LCC) is an indicator of leaf photosynthetic capacity. It is crucial for improving the understanding of plant physiological status. SPAD meters are routinely used to provide an instantaneous estimation of in situ LCC.
In this study, we used three field datasets from existing research and one synthetic dataset from the leaf transfer model PROSPECT-5 to assess the commonly used functions that convert SPAD readings into absolute LCC values. The linear function outperforms other functions in the simulated dataset, in which leaves show a relatively simple structure due to the assumption of a turbid medium in the PROSPECT-5 model. The linear relationship between SPAD readings and LCC revealed by the synthetic dataset is in line with the algorithm designed by the SPAD meter, which assumes leaf samples to be a turbid medium. Compared with the synthetic dataset, the leaves in the field datasets are more complex in terms of leaf structure and present more confounding factors. Thus, more complex functions (i.e., polynomial, exponential, and homographic functions) have been developed to link SPAD readings to LCC. We found that the functions do not work well for all three datasets together, while their performance is promising for a single dataset or species. The linear, polynomial, and exponential functions work similarly for various datasets and species with an R2 of >0.8 and RMSE of
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