%0 Journal Article
%T Predicting Acorn-Grass Weight Gain Index using non-destructive Near Infrared Spectroscopy in order to classify Iberian pig carcasses according to feeding regime
%A De Pedro-Sanz
%A E.
%A Serrano
%A A.
%A Zamora-Rojas
%A E.
%A Garrido-Varo
%A A.
%J Grasas y Aceites
%D 2013
%I Consejo Superior de Investigaciones Cient赤ficas
%R 10.3989/gya.131012
%X The classification of Iberian pig carcasses into different commercial categories according to feeding regime was evaluated by means of a non-destructive analysis of the subcutaneous adipose tissue using Near Infrared Spectroscopy (NIRS). A quantitative approach was used to predict the Acorn-Grass Weight Gain Index (AGWGI), and a set of criteria was established for commercial classification purposes. A total of 719 animals belonging to various batches, reflecting a wide range of feeding regimes, production systems and years, were analyzed with a view to developing and evaluating quantitative NIRS models. Results for the external validation of these models indicate that NIRS made clear differentiation of batches as a function of three feeding regimes possible with high accuracy (Acorn, Recebo and Feed), on the basis of the mean representative spectra of each batch. Moreover, individual analysis of the animals showed a broad consensus between field inspection information and the classification based on the AGWGI NIRS prediction, especially for extreme categories (Acorn and Feed). La clasificaci車n en distintas categor赤as comerciales seg迆n r谷gimen alimenticio de canales de cerdo Ib谷rico fue evaluada mediante el an芍lisis no destructivo de muestras de tejido adiposo subcut芍neo por Espectroscop赤a del Infrarrojo Cercano (NIRS). Partiendo de una aproximaci車n cuantitativa para predecir el 赤ndice de Reposici車n en Montanera (IRM) se establecieron una serie de criterios para proceder a su clasificaci車n comercial. Se analizaron un total de 719 animales pertenecientes a diversas partidas, que recogen una amplia variabilidad de muestras de distintos reg赤menes alimenticios, campa as y sistemas productivos, para el desarrollo y evaluaci車n de los modelos NIRS cuantitativos. Los resultados de validaci車n externa de los modelos indicaron que es posible discriminar con una gran exactitud entre partidas de distintos categor赤as (Bellota, Recebo y Cebo), en base al espectro medio representativo de cada partida. Adem芍s, el an芍lisis individualizado de los animales mostr車 un amplio consenso entre la informaci車n recibida de campo y la clasificaci車n en base a la predicci車n del par芍metro IRM por NIRS, sobre todo para categor赤as con caracter赤sticas extremas (Bellota y Cebo).
%K Acorn-Grass Weight Gain Index
%K Adipose tissue
%K Classification
%K Feeding regime
%K Iberian pig
%K Intact
%K Near Infrared Spectroscopy
%K Cerdo Ib谷rico
%K Clasificaci車n
%K Espectroscop赤a Infrarrojo Cercano
%K 赤ndice de Reposici車n en Montanera
%K Intacto
%K R谷gimen alimenticio
%K Tejido adiposo
%U http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1426/1423