English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/81551
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


Classification of Iberian pigs according to intensive feeding by chemsensor

AuthorsCarrasco Manzano, Juan Atanasio ; Duque, Juan Pablo
Issue Date2013
PublisherCSIC - Instituto de la Grasa (IG)
CitationGrasas y Aceites 64: 166- 172 (2013)
AbstractPork quality is highly dependent on intensive feeding during the fattening step. For that reason a large number of analytical methods are continuously being developed to evaluate it. Among them is the ChemSensor method which comprises a multivariate analysis in a gas chromatograph with a mass spectrometry detection device. This technique affords a feeding grouping of similar features, leading to a classification of meat quality. Using a mathematical predictive model for new, unknown samples the right classification is achieved as well as the type of intensive feeding used during the fattening of pigs. Pigs from two campaignes have been classificated with good results, although a certain difficulty in prediction was found due to the excessively large number of classes stated in the official Quality Iberian Standards, and the customs of the farmers themselves in relation with the handling of animals and the intensive feeding provided. Narrowing the number of classes down to two, >Bellota> and >Pienso>, would contribute to a better understanding in the Iberian pig market.
Identifiersdoi: 10.3989/gya.130512
issn: 0017-3495
Appears in Collections:(ICTAN) Artículos
Files in This Item:
File Description SizeFormat 
Classification_Iberian_ pigs_ according_ to_ intensive_ feeding_ by chemsensor.pdf246,39 kBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.