Abstract

RANGEL MONTES DE OCA, Lazara; CHAVEZ ESPONDA, Dunia; GARCIA PEREIRA, Annia  and  HERNANDEZ GOMEZ, Antihus. Application of the temporary series to predict the properties of quality Pineapple (Pineapples Comosus.), variety Cayena Lisa, during the maturation process to ambient temperature with regard to the real time. Rev Cie Téc Agr [online]. 2013, vol.22, n.4, pp.32-35. ISSN 2071-0054.

In the current world the use of some techniques of statistical analysis represents a novel alternative in the agricultural products postharvest processes, allowing him to predict the quality of the same ones during a period of time. The investigation starting from carried out works has as objective to apply the temporary series to predict the properties of quality of the Pineapple (Pineapples Comosus.), variety Cayena Lisa, during the maturation process to ambient temperature with regard to the real time. For it was carried out it an analysis of the results obtained in works that concern to this thematic one which possess certain recognition, relating these certain real values with technical traditional with the obtained prediction models (for lost of weight, stability, SSC and pH) using the software specialized Statgraphics version 5.1. As a result the fact that time series constitute a capable tool to predict the properties of quality of the Pineapple in real time to ambient temperature in the process of maturation obtained itself principal, showing that better models of prediction for the properties of weight loss, the pH and the firmness were the ones belonging to linear Tendencia. In the event of the property SSC, the model the fact that better he adjusted to his behavior was the one belonging to exponential linear Suavizado of Brown. These models of prognosis’s constitute a significant contribution in his branch since they permit predicting moral values of these properties in the pineapple’s fruit to short and medium term with the 95%’s confidence.

Keywords : temporary series; prediction; fruit quality evaluation; fruit quality properties.

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