Assessing the effect of season, montanera length and sampling location on Iberian pig fat by compositional data analysis and standard multivariate statistics
| Autor: | Manuel León-Camacho, Antonio Garrido-Fernández |
|---|---|
| Přispěvatelé: | Ministerio de Economía y Competitividad (España), European Commission, Junta de Andalucía |
| Rok vydání: | 2019 |
| Předmět: |
Male
Multivariate statistics Data variability Rump Swine biology.animal_breed Subcutaneous Fat Hierarchical clustering analysis (HCA) 01 natural sciences Analytical Chemistry Coda Discriminant analysis (DA) 0404 agricultural biotechnology Pig fat Fatty acid (FA) Statistics Animals Mathematics Iberian pig biology Fatty Acids 010401 analytical chemistry Discriminant Analysis Sampling (statistics) Agriculture 04 agricultural and veterinary sciences General Medicine Linear discriminant analysis Animal Feed 040401 food science Ham 0104 chemical sciences Red Meat Compositional data (CoDa) analysis Multivariate Analysis Seasons Season Compositional data Food Analysis Food Science |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| ISSN: | 0308-8146 |
| DOI: | 10.1016/j.foodchem.2019.05.123 |
| Popis: | 34 Páginas.-- 3 Figuras.-- 4 Tablas The work studies the effect of season, montanera length, and sampling location on the Iberian pig fat, using compositional data (CoDa) analysis and standard statistics. CoDa variation array and logratios involving C18:3: (C18:3/C17:1), (C18:3/C20:0), and (C18:3/18:0) as well as the ilr balances (coordinates), based on C18:3, C17:1, and C20:0, showed the highest variances. Discriminant Analysis (DA) led to similar (conventional/coordinates) correct assignations regarding seasons (69/70%), montanera length (71/70%) and sampling location (68/67%). Re-analyzing the subcomposition of only the major fatty acids (FAs), led to slightly poorer results; therefore, the removed FAs might play a role in segregation. Results are in line with those from other authors and could indicate a partial capacity of pigs to control their FA profiles. Overall, CoDa analysis provided useful information on data variability, the effects of factors and, after conversion into coordinates, allowed applying standard statistics while being respectful with the compositional sampling space. This work was supported by the Spanish Government (project AGL2010-15494/ALI, partially financed by European regional development funds, ERDF), and Junta de Andalucía (through financial support to group AGR-125 and AGR-283). |
| Databáze: | OpenAIRE |
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