On the compositional analysis of fatty acids in pork
Fatty acid (FA) composition of pork is an important issue for the pig industry and consumers. Fatty acid composition is commonly described as the percentages of a set of FA relative to total FA and therefore should be statistically treated as compositional data. To our knowledge there is no referenc...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2014 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10459.1/67946 |
| Acceso en línea: | https://doi.org/10.1007/s13253-013-0162-x http://hdl.handle.net/10459.1/67946 |
| Access Level: | acceso abierto |
| Palabra clave: | Compositional data Intramuscular fat Meat quality Subcutaneous fat |
| Sumario: | Fatty acid (FA) composition of pork is an important issue for the pig industry and consumers. Fatty acid composition is commonly described as the percentages of a set of FA relative to total FA and therefore should be statistically treated as compositional data. To our knowledge there is no reference in the literature where specific methods for compositional data analysis have been applied to analyze FA composition in meat quality research. The purposes of this study were (1) to present an overview of compositional data analysis techniques, (2) to apply them to the analysis of the FA composition of muscles and subcutaneous fat from 941 pigs as a case study, and (3) to discuss and interpret the results with respect to those obtained using standard techniques. Results from both approaches indicate that FA composition differed across tissues and muscles but also, for a given muscle, with the intramuscular fat content. It is concluded that FA composition in pork did not display enough variability to become critical for standard statistics, particularly if the individual FA parts remain the same across experiments. However, even in such case, compositional analysis may be useful to correctly interpret the correlation structure among FA. |
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