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Leaf area estimation of Congea tomentosa using a non-destructive method 1 1 Research developed at Universidade Federal de Viçosa, Viçosa, MG, Brazil

Estimativa de área foliar de Congea tomentosa através de método não destrutivo

HIGHLIGHTS:

Estimates of leaf area of Congea tomentosa based on measurements of leaf dimensions are a useful non-destructive method.

Estimates of the leaf area of C. tomentosa by statistical models are a non-expensive tool easily accessible to producers.

The equation ŷ = 0.63 × LW (Leaf: L = length, W = width) can be used to estimate the leaf area of C. tomentosa.

ABSTRACT

Congea tomentosa is a climbing plant suitable for covering arbors, railings, and fences. Leaf area determination is useful in understanding the plant-environment relationship and facilitating agronomic studies on transpiration, water requirement, light interception, and photosynthetic activity. The objective of this study was to obtain an allometric equation to estimate the leaf area of C. tomentosa by measuring the leaf dimensions. Analyses were performed on 200 leaves of different shapes and sizes from 10 randomly chosen adult plants grown under field conditions. The leaf length, leaf width, product length and width, and leaf area were determined. Linear, linear without intercept, quadratic, cubic, power, and exponential regression models were used to estimate the leaf area. The coefficient of determination, Willmott’s concordance index, Akaike information criterion, root mean square error and BIAS index were used to determine the best model. The leaf area of C. tomentosa can be satisfactorily estimated using a non-destructive method that uses measurements of leaf dimensions. The equation ŷ = 0.63 × LW (Leaf: L = length, W = width) estimates the leaf area of C. tomentosa in a practical and fast way, with 99.15% of precision. Estimation of the leaf area of C. tomentosa using statistical models is less expensive and easily accessible to researchers and producers of this plant.

Key words:
leaf dimensions; vine; statistical models; modeling

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