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Multivariate analysis of volumetric shrinking of industrial cassava varieties

机译:工业木薯品种体积萎缩的多变量分析

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The objective was to analyse the factors that affect the volumetric contraction of varieties of industrial cassava, by analysing the same covariance matrices, under a linear multivariate model (Manova). Methodologically, a drying process was carried out of three varieties of industrial cassava (Corpoica Tai, Verónica and Gynes), varying the operating conditions of the process, in terms of temperature (45°C, 55°C and 70°C), drying speed (1 m/s, 3 m/s and 4 m/s) and time (from 0 min-480 min in 15 min intervals). For the analysis of data Manova was performed, where the response variables were a volumetric contraction, length and width of the cassava parallelepipeds. It is concluded that the joint effect of factors, such as the variety and speed of drying, acting together with the temperature on the evaluated response variables, since they were interactions that marked significant differences throughout the experiment, therefore, they directly affect the volumetric reduction of industrial cassava varieties.
机译:目的是通过分析相同的协方差模型(MANOVA)分析相同的协方差矩阵来分析影响工业木薯品种的变量收缩的因素。方法上,干燥过程中的三种工业木薯(Corpoica Tai,Verónica和Gynes)中进行,在温度(45°C,55℃和70°C)方面改变了该过程的操作条件,干燥速度(1米/秒,3米/秒和4米/秒)和时间(从0 min-480分钟以15分钟间隔)。对于数据的分析,执行MANOVA,其中响应变量是Cassava平行六面体的体积收缩,长度和宽度。得出结论是,因素的联合效应,如干燥的种类和速度,与评估响应变量的温度一起作用,因为它们是在整个实验中显着差异的相互作用,因此它们直接影响体积减少工业木薯品种。

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