Nutritional Characterization Based on Vegetation Indices to Detect Anthocyanins, Carotenoids, and Chlorophylls in Mini-Lettuce

When obtaining new cultivars or monitoring the nutritional composition of lettuce, new techniques are necessary given the high cost and time required to conduct laboratory analyses of plant composition by conventional methods. The objective of this study was to evaluate different vegetation indices for the estimation of anthocyanin, chlorophyll, and carotenoids in mini-lettuce genotypes with different leaf colors and different typologies from red, green, and blue (RGB) images. The contents of pigments were evaluated in 15 lettuce genotypes, in addition to the soil plant analysis development (SPAD) index and vegetation indices in the visible range. The variability among genotypes was confirmed by the Scott-Knott test (p < 0.05) and multivariate analysis. Linear regressions were obtained between the green leaf index (GLI) and leaf pigments. GLI was a good predictor for estimating the contents of anthocyanin (r = -0.83; r(2) = 0.75), carotenoid (r = -0.59; r(2) = 0.43), chlorophyll a (r = -0.69; r(2) = 0.48), chlorophyll b (r = -0.62; r(2) = 0.39), and total chlorophyll (r = -0.77; r(2) = 0.65) in red and green mini-lettuce. The high-performance phenotyping technique can be used to evaluate leaf pigments in breeding programs, as well as in crops for monitoring biofortification levels in lettuce.

Automated summary

This study evaluated different vegetation indices for estimating anthocyanin, chlorophyll, and carotenoids in mini-lettuce genotypes. The results showed that the green leaf index was able to accurately predict the content of leaf pigments in red and green mini-lettuce. This high-performance phenotyping technique can be used in breeding programs and for monitoring biofortification levels in lettuce.