In this work, different equations were compared as for their effectiveness in predicting the iodine value (IV), based on fatty acid (FA) composition of subcutaneous adipose tissue of Italian heavy pigs. In particular, six equations were tested: AOCS (1); modified AOCS (2), including all unsaturated FA (UFA); regression models obtained using the stepwise regression procedure as variable selection method, calculated considering only UFA (3) or all the FA (4); regression models obtained using the backward elimination procedure, calculated considering only UFA (5) or all the FA (6). The comparison of the equations performance, estimated using an external test set, showed that the use of regression models led to significant enhancements of prediction accuracy with respect to the AOCS equations. Using both equations 4 and 6, the average paired differences between experimental and predicted IV values were not statistically significant. Therefore, it is possible to use these equations for IV estimation of the subcutaneous adipose tissue of Italian heavy pigs.
Calculating the iodine value for Italian heavy pig subcutaneous adipose tissue from fatty acid methyl ester profiles / LO FIEGO, Domenico Pietro; Minelli, Giovanna; Volpelli, Luisa Antonella; Ulrici, Alessandro; Macchioni, Paolo. - In: MEAT SCIENCE. - ISSN 0309-1740. - ELETTRONICO. - 122:(2016), pp. 132-138. [10.1016/j.meatsci.2016.08.002]
Calculating the iodine value for Italian heavy pig subcutaneous adipose tissue from fatty acid methyl ester profiles
LO FIEGO, Domenico Pietro;MINELLI, Giovanna;VOLPELLI, Luisa Antonella;ULRICI, Alessandro;
2016
Abstract
In this work, different equations were compared as for their effectiveness in predicting the iodine value (IV), based on fatty acid (FA) composition of subcutaneous adipose tissue of Italian heavy pigs. In particular, six equations were tested: AOCS (1); modified AOCS (2), including all unsaturated FA (UFA); regression models obtained using the stepwise regression procedure as variable selection method, calculated considering only UFA (3) or all the FA (4); regression models obtained using the backward elimination procedure, calculated considering only UFA (5) or all the FA (6). The comparison of the equations performance, estimated using an external test set, showed that the use of regression models led to significant enhancements of prediction accuracy with respect to the AOCS equations. Using both equations 4 and 6, the average paired differences between experimental and predicted IV values were not statistically significant. Therefore, it is possible to use these equations for IV estimation of the subcutaneous adipose tissue of Italian heavy pigs.File | Dimensione | Formato | |
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