Leaf pigment modeling using ClorofiLOG®: A non-destructive methodological approach for Mikania laevigata Sch. Bip. ex-Baker
DOI:
https://doi.org/10.18406/2316-1817v18nunico20262099Keywords:
Medicinal plants, Plant physiology, Primary metabolismAbstract
Unlike conventional crops, medicinal plants require continuous physiological monitoring, as their pharmacologically active compounds are synthesized through a secondary metabolism highly sensitive to stress. In this context, accurate and non-destructive methods for determining chlorophyll content are essential tools for evaluating the physiological condition of these species. Mikania laevigata Sch. Bip. ex-Baker, widely used in herbal medicine, may benefit from chlorophyll monitoring to enhance its cultivation. This study aimed to evaluate the potential of the ClorofiLOG® index as a non-destructive predictor of foliar pigment concentrations in M. laevigata during its vegetative stage. Plants were grown for 60 days under greenhouse conditions, and both destructive (spectrophotometric) and non-destructive pigment measurements were performed on intermediate leaves. Linear regression equations were fitted between the index and the concentrations of chlorophyll a, chlorophyll b, total chlorophyll, and carotenoids. The adjusted models showed high coefficients of determination for total chlorophyll and chlorophyll b, and moderate for carotenoids. The predictive performance, assessed by the ratio of performance to deviation, was classified as "very good" for total chlorophyll (2.91) and chlorophyll b (2.67), and "weak" for chlorophyll a (1.79) and carotenoids (1.43). These findings suggest that regression models based on the ClorofiLOG® index are suitable for the non-destructive estimation of total chlorophyll and chlorophyll b in M. laevigata, supporting its use as a practical tool for the physiological monitoring of this species. This approach may assist in the early detection of plant stress, guide nutrient management decisions, and contribute to the optimization of cultivation strategies for this medicinal plant in both experimental and production-scale settings.
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