MACF-IJ, método automatizado para medir color y área foliar mediante imágenes digitales

espanolEl color y area foliar (AF) son importantes en estudios fisiologicos y fitogeneticos, pero su obtencion es laboriosa, incluso con integradores y colorimetros. Ambas caracteristicas pueden medirse con analisis de imagenes digitales (AID), pues, aunque existen programas gratuitos especificos para obtener el AF estos requieren intervencion del usuario, no registran las dimensiones ni coloracion foliar. El objetivo de este estudio fue mostrar el funcionamiento de Macf-IJ para medir area y color foliar mediante AID. Los resultados se compararon con mediciones manuales y del integrador Li-Cor 3000® del area de siete figuras geometricas. Tambien AF se midio en 13 herbaceas; el color y el contenido relativo de clorofila (CRC), con SPAD 502®, en Rhynchosia minima (L.) DC. El AID se realizo con Digimizer 4.3.5® y Black Spot Leaf. El tiempo se registro para cada caso. El area obtenida con integrador para una misma figura mostro variacion inferior a 8.96 %, con Macf-IJ y con fotografias fue menor a 1.82 %; el R2 entre metodos fue 0.999 (p≤0.001). El AF se correlaciono entre el integrador y Macf-IJ (r>0.989, p≤0.001); excepto en cinco gramineas, Macf-IJ, Black Spot Leaf y Digimizer® presentaron R2 ≥0.99 (p≤0.001). El tiempo no mostro significancia entre metodos, pero Macf-IJ registra longitud (cm), anchura (cm), perimetro (cm), circularidad (0-1), asi como el color rojo (R), verde (G) y azul (B). Existio correlacion del CRC con el verde (r=-0.946, p≤0.01), con el rojo (r=-0.941) y el azul (r=-0.881), entre el RGB obtenido con Digimizer® e CRC (r=-0.939, -0.942 y -0.811 para rojo, verde y azul, respectivamente). Macf-IJ utilizo 4.43 s por hoja y 38.37 s para CRC (p≤0.001). Macf-IJ es un metodo rapido y preciso para medir el area, dimensiones y color foliar mediante imagenes escaneadas y fotografia digital. EnglishLeaf color and area are important characteristics in plant physiology and genetic studies, but data collection is laborious and requires optical integrators and colorimeters. Nowadays, data collection could be automated through digital image analysis (DIA). Free software for DIA to measure leaf area or color is available, but user intervention is required to record dimensions or leaf color. This study shows the Macf-IJ routine for DIA to measure leaf area and color. Results from DIA of seven geometric figures were compared to physical measurements with a LI-COR 3000® Leaf Area Integrator. Additionally, leaf area was measured in 13 herbaceous plants, and color and relative chlorophyll content (RCC) was recorded for Rhynchosia minima (L.) DC with a SPAD 502®. DIA was performed with Digitizer 4.3.5® and Black Spot Leaf. Duration of each measurement was recorded for each case. The area measured with the integrator for any figure varied less than 8.96 % with Macf-IJ and less than 1.82 % with photographs. R2 between methods was 0.999 (p≤0.001). With exception of five grasses, leaf area measured with the integrator correlated well with the Macf-IJ (r>0.989, p≤0.001); Macf-IJ, Black Spot Leaf and Digimizer® had an R2 greater than 0.99 (p≤0.001). Duration was not significantly different between methods, but Macf-IJ registered additional data such as length (cm), width (cm), circularity (0-1), and red (R), green (G), and Blue (B) colors. There was correlation between RCC and green (r=-0.946, p≤0.01), red (r=-0.941) and blue (r=-0.881) colors and between RGB obtained the Digimizer® and CRC (r=-0.939, -0.942 and -0.811for red, green and blue colors, respectively). Macf-IJ took 4.43 s to measure leaves, while RCC took 38.37 s (p≤0.001). Macf-IJ is a quick and precise method that measures area, dimensions and leaf color through scanned images and digital photography.