OPTIMIZATION OF A DIGITAL APPLICATION FOR PRODUCTIVE CLASSIFICATION OF CATTLE USING ZOOMETRIC INDICES IN PANAMANIAN CREOLE BREEDS
Keywords:
Creole cattle, morphometric characterization, Mooebius C5, digital platform, tropical livestock production.Abstract
Morphometric characterization of cattle is a fundamental tool for the functional and productive differentiation of Creole breeds adapted to tropical environments. In Panama, the Guaymí and Guabalá Creole cattle breeds are strategic animal genetic resources due to their adaptation and value in low-input production systems. However, the practical application of zoometric indices under field conditions is often limited by the complexity of the calculations and the lack of accessible digital tools. This study describes the development and optimization of Mooebius C5, a digital application designed to simplify the classification of bovine productive aptitude using five essential zoometric indices. The platform was developed using HTML5, CSS3, and JavaScript, enabling it to run on desktop computers, tablets, and smartphones. Mooebius C5 automatically calculates the cephalic, thoracic, pelvic, body, and dactyl-thoracic indices from nine basic morphometric measurements. The system implements a weighted classification of beef or dairy aptitude, with automatic visualization of results and export to Microsoft Excel. The application was validated using a database of 225 adult Creole cattle previously characterized in Panama. The results demonstrated that the optimized system maintained the discriminating capacity of the original methodology while requiring fewer morphometric variables and zoometric indices. Mooebius C5 constitutes a low-cost, user-friendly technological tool for phenotypic selection programs, conservation of animal genetic resources, and decision support in tropical livestock production systems.
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