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Non-destructive estimation of leaf area in hairy fleabane (Conyza bonariensis)
Estimación no destructiva del área foliar en rama negra (Conyza bonariensis)
DOI:
https://doi.org/10.15446/rfnam.v78n3.118970Keywords:
BIAS index, Dimensional parameters, Leaf length, Leaf width, Morphometric models (en)Índice BIAS, Parámetros dimensionales, Longitud de la hoja, Anchura de la hoja, Modelos morfométricos (es)
Hairy fleabane (Conyza bonariensis) is a widespread and troublesome weed in agricultural systems, and estimating its leaf area (LA) is essential for growth analysis and weed management studies. This study aimed to develop equations to estimate the LA based on the linear dimensions of leaf blades. The relationships between the LA and the dimensional parameters of leaf blade (length and width) were studied in C. bonariensis var. angustifolia and C. bonariensis var. bonariensis. Both linear and power regression models were tested, and their performance was assessed using Root Mean Square Error (RMSE), index of agreement (dw), BIAS index, Pearson’s linear coefficient (r), and index of confidence or performance (c). The best-performing model used the product of length and width (L×W), yielding the highest r values and the lowest RMSE for both botanical varieties. Specific models provided better estimates than the general model. The linear equations LA = 0.6578 × (L×W) and LA = 0.5896 × (L×W) for C. bonariensis var. angustifolia and C. bonariensis var. bonariensis, respectively, were the most accurate for estimating their LA. These equations offer reliable, non-destructive tools for estimating LA in studies involving each variety, contributing to improved precision in weed science research.
La rama negra (Conyza bonariensis) es una maleza extendida y problemática en los sistemas agrícolas, y la estimación de su área foliar (AF) es esencial para el análisis del crecimiento y los estudios de manejo de malezas. El objetivo del estudio fue determinar ecuaciones para estimar el AF con base en dimensiones lineales de las láminas foliares. Se estudiaron las relaciones entre el AF y los parámetros dimensionales del limbo (longitud y anchura) en C. bonariensis var. angustifolia y C. bonariensis var. bonariensis. Se evaluaron modelos de regresión lineales y potenciales, y su desempeño se evaluó utilizando el Error cuadrático medio (RMSE), index of agreement (dw), índice BIAS, coeficiente lineal de Pearson (r) y el index of confidence or performance (c). El mejor modelo fue la basada en el producto longitud y anchura (L×A), ya que presentó los valores más altos de r y los más bajos de RMSE para ambas variedades botánicas. Los modelos específicos para cada variedad proporcionaron mejores estimaciones que un modelo general. Las ecuaciones AF = 0,6578 × (L×A) y AF = 0,5896 × (L×A) para C. bonariensis var. angustifolia y C. bonariensis var. bonariensis, respectivamente, fueron las más precisas. Estas ecuaciones constituyen herramientas confiables y no destructivas para la estimación del área foliar en estudios que involucran cada variedad, contribuyendo a mejorar la precisión en la investigación en ciencias de malezas.
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