Image-based phenotyping for the systematic establishment of shape and color descriptor states in pili (Canarium ovatum Engl.) nuts
2018
Gentallan, R.P. Jr
This research attempts to systematically establish shape and color descriptor states through image-based analysis using pili as a model. Images of 53 pili accessions from the National Plant Genetic Resources Laboratory (NPGRL), University of the Philippines Los Baños were acquired using VideometerLab 3. Shape and color features were extracted from the images. Shapes outlines were characterized using elliptic Fourier coefficients calculated from SHAPE software. Principal component analysis and cluster analysis were used to elucidate clusters representing the shape descriptor states. Six (6) descriptor states - narrowly elliptic, elliptic widely elliptic, ovate, obovate and lance-ovate, were characterized from the shape outlines and visualized through R's shape on r package. The discrimination between clusters was validated through MANOVA and LDA with 95% correct classification. The Fourier coefficients were also able to represent the variation observed from the physical properties of shape. Color descriptor states were derived from the average CIE L* a* and b* values. For color, delta E was used to cut the cluster into readily distinguishable color differences resulting to three descriptor states - light brown, brown and dark brown. The method is recommended to be used in establishing color and shape descriptors of all plant parts of all crop species.
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