Carrera Ingeniería Bioquímica

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    Modelación matemática para la predicción de biomasa residual húmeda por efecto de poda, en las plantaciones de Persea americana del cantón Patate
    (Universidad Técnica de Ambato. Facultad de Ciencia e Ingeniería en Alimentos y Biotecnología. Carrera de Ingeniería Bioquímica, 2022-03) Aguaguiña Paguay, Oscar Mateo; García Pazmiño, María Eugenia
    The objective of this research was to obtain a mathematical model for the prediction of residual biomass due to pruning in Persea americana (avocado) plantations from easily measurable dendrométric variables in the field. This species that has been cultivated in Ecuador due to its high consumption, which leads to accelerated forest growth, where pruning is carried out to control productivity, generating a considerable amount of organic waste that causes poor disposal and burning of the same, producing waste and gases that affect the planet's biosphere. Mathematical models for the prediction of wet residual biomass were presented applying the multiple linear regression technique, based on three variable selection criteria, where the statistical descriptions were analyzed and thus a regression model was selected from the selection step by step backwards to describe the behavior of the experimental data, given that it met most of the acceptance assumptions except for multicollinearity. Specifically, the model provides satisfactory results for this field with a determination coefficient of 62.68 percent, from the equation that involves the use of variables such as crown height, total height, stem diameter, crown diameter. The mathematical model was validated using the Cross-Validation technique, concluding that the data estimated by the model presented a good correlation with the real data.