Characterization of Mature Cladodes of Opuntia ficus-indica L. Using Morphological  and Colorimetric Descriptors

Juan  Arredondo-Valdez; Alejandro Isabel Luna-Maldonado; Ricardo David  Valdez-Cepeda; Humberto  Rodríguez-Fuentes; Juan Antonio  Vidales-Contreras; Uziel Francisco  Grajeda-González; Héctor  Flores-Breceda

doi:10.18006/2022.10(2).335.343

Authors

Juan Arredondo-Valdez Department of Agricultural and Food Engineering, Faculty of Agriculture, Autonomous University of Nuevo Leon, General Escobedo, N.L., México
Alejandro Isabel Luna-Maldonado Department of Agricultural and Food Engineering, Faculty of Agriculture, Autonomous University of Nuevo Leon, General Escobedo, N.L., México
Ricardo David Valdez-Cepeda Centro Regional Universitario Centro Norte, Universidad Autónoma Chapingo, Calle Cruz del Sur 100, Col. Constelación, CP 98085 Zacatecas, Zac., México
Humberto Rodríguez-Fuentes Department of Agricultural and Food Engineering, Faculty of Agriculture, Autonomous University of Nuevo Leon, General Escobedo, N.L., México
Juan Antonio Vidales-Contreras Department of Agricultural and Food Engineering, Faculty of Agriculture, Autonomous University of Nuevo Leon, General Escobedo, N.L., México
Uziel Francisco Grajeda-González Department of Agricultural and Food Engineering, Faculty of Agriculture, Autonomous University of Nuevo Leon, General Escobedo, N.L., México
Héctor Flores-Breceda Department of Agricultural and Food Engineering, Faculty of Agriculture, Autonomous University of Nuevo Leon, General Escobedo, N.L., México

DOI:

https://doi.org/10.18006/2022.10(2).335.343

Keywords:

Opuntia mature cladodes, Image processing, Color parameters, Linear and nonlinear modeling, ImageJ

Abstract

Mexico is the world's leading producer of Opuntia ficus-indica. This kind of prickly pear is the most widespread and most commercially important cactus in Mexico. Morphological and colorimetric descriptors are among the most important agronomic traits because these parameters affect the yield, in such a way, the objective of the present research was to present a fast and reliable methodology to obtain the functional relationship in shape and color parameters of O. ficus indica cladodes, using a smartphone, a color meter, and open-access software. The acquisition and processing of images discovered interesting relationships between the Opuntia cladode's morphological characteristics, as well as colorimetric parameters of the cladodes. The non-linear data behaviors were fitted using deterministic models and CurveExpert software. Results of the study revealed that the best morphological descriptors were Circularity vs. Perimeter (r= 0.9815) and Aspect ratio vs. Roundness (r= 0.9999). In addition, mean values of the L*, C, and H color parameters were displayed in a window of a computer program online. It was found that the a-C relationship of the color parameters had the highest correlation coefficient (0.999). Therefore, it can be concluded that the morphological descriptors Circularity vs. Perimeter, Aspect Rate vs. Roundness, and a*-C color parameter can predict quickly and precisely the quality of O. ficus-indica.

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