Grasas y Aceites, Vol 60, No 3 (2009)

Classification of real farm conditions Iberian pigs according to the feeding regime with multivariate models developed by using fatty acids composition or NIR spectral data


https://doi.org/10.3989/gya.130408

Juan García-Olmo
Faculty of Agriculture and Forestry Engineering, University of Cordoba, Spain

Ana Garrido-Varo
Faculty of Agriculture and Forestry Engineering, University of Cordoba, Spain

Emiliano De Pedro
Faculty of Agriculture and Forestry Engineering, University of Cordoba, Spain

Abstract


Multivariate Classification models to classify real farm conditions Iberian pigs, according to the feeding regime were developed by using fatty acids composition or NIR spectral data of liquid fat samples. A total of 121 subcutaneous fat samples were taken from Iberian pigs carcasses belonging to 5 batches reared under different feeding systems. Once the liquid sample was extracted from each subcutaneous fat sample, it was determined the percentage of 11 fatty acids (C14:0, C16:0, C16:1, C17:0, C17:1, C18:0, C18:1, C18:2, C18:3, C20:0 and C20:1). At the same time, Near Infrared (NIR) spectrum of each liquid sample was obtained. Linear Discriminant Analysis (LDA) was considered as pattern recognition method to develop the multivariate models. Classification errors of the LDA models generated by using NIR spectral data were 0.0% and 1.7% for the model generated by using fatty acids composition. Results confirm the possibility to discriminate Iberian pig liquid samples from animals reared under different feeding regimes on real farm conditions by using NIR spectral data or fatty acids composition. Classification error obtained using models generated from NIR spectral data were lower than those obtained in models based on fatty acids composition.

Keywords


Iberian pig; Fat; Fatty acids; Multivariate methods; Near Infrared Spectroscopy; NIRS

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