Dummy regression analysis for modelling the nutritionally tailored fillet fatty acid composition of turbot and sole using gilthead sea bream as a reference subgroup category
Farmed turbot and sole were sampled at different stages of the production cycle for analysis of fillet lipid content and fatty acid (FA) composition. The entire data set along with our own published data on gilthead sea bream were fitted to dummy regression equations with turbot and sole as dummy va...
Published in: | Aquaculture Nutrition |
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2014
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Online Access: | http://hdl.handle.net/10261/144107 https://doi.org/10.1111/anu.12095 https://doi.org/10.13039/501100003359 https://doi.org/10.13039/501100000780 |
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ftcsic:oai:digital.csic.es:10261/144107 2024-02-11T10:09:16+01:00 Dummy regression analysis for modelling the nutritionally tailored fillet fatty acid composition of turbot and sole using gilthead sea bream as a reference subgroup category Ballester-Lozano, Gabriel F. Benedito-Palos, Laura Riaza, Ana Navarro, Juan Carlos Rosel, Jesús F. Pérez-Sánchez, Jaume Ministerio de Educación y Ciencia (España) Generalitat Valenciana Diputación de Castellón European Commission 2014-04-23 http://hdl.handle.net/10261/144107 https://doi.org/10.1111/anu.12095 https://doi.org/10.13039/501100003359 https://doi.org/10.13039/501100000780 unknown John Wiley & Sons Postprint https://doi.org/10.1111/anu.12095 Sí issn: 1365-2095 Aquaculture Nutrition 20: 421-430 (2014) http://hdl.handle.net/10261/144107 doi:10.1111/anu.12095 http://dx.doi.org/10.13039/501100003359 http://dx.doi.org/10.13039/501100000780 open artículo http://purl.org/coar/resource_type/c_6501 2014 ftcsic https://doi.org/10.1111/anu.1209510.13039/50110000335910.13039/501100000780 2024-01-16T10:20:33Z Farmed turbot and sole were sampled at different stages of the production cycle for analysis of fillet lipid content and fatty acid (FA) composition. The entire data set along with our own published data on gilthead sea bream were fitted to dummy regression equations with turbot and sole as dummy variables, gilthead sea bream as a reference subgroup category, and diet FA composition and fillet lipid content as independent variables. The relative contribution of each independent variable to the total variance was found to vary within and among FAs and fish species, but strong correlation coefficients (0.76 < r2 > 0.99) were found for almost all of the FA equations, including saturated FAs, monoenes and long-chain polyunsaturated fatty acids (PUFA) of n-3 and n-6 series. Given the differences in lipogenic activities of the fish species, major interaction effects between fillet lipid content and dummy variables were found for monoenes and saturated FAs. The proposed equations (hosted at www.nutrigroup-iats.org/aquafat) were able to fit different proportions of EPA, DPA and DHA underlying the fish species differences in FA desaturation/elongation pathways. The robustness of the model was proven with extra data from the three fish species, allowing a close linear association near to equality for the scatter plot of observed and predicted values. © 2014 John Wiley & Sons Ltd. This study was funded by Spanish (AQUAFAT, AGL2009-07797, Predictive modelling of flesh fatty acid composition in cultured fish species with different muscle lipid content; AQUAGENOMICS, CSD2007-00002, Improvement of aquaculture production by the use of biotechnological tools) and EU (ARRAINA, KBBE-2011-5-288925, Advanced research initiatives for nutrition and aquaculture) projects. Additional funding was obtained from the ‘Generalitat Valenciana’ (research grant PROMETEO 2010/006). GFB-L was recipient of a Spanish PhD fellowship from the Diputación Provincial de Castellón. Peer Reviewed Article in Journal/Newspaper Turbot Digital.CSIC (Spanish National Research Council) Aquaculture Nutrition 20 4 421 430 |
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Digital.CSIC (Spanish National Research Council) |
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description |
Farmed turbot and sole were sampled at different stages of the production cycle for analysis of fillet lipid content and fatty acid (FA) composition. The entire data set along with our own published data on gilthead sea bream were fitted to dummy regression equations with turbot and sole as dummy variables, gilthead sea bream as a reference subgroup category, and diet FA composition and fillet lipid content as independent variables. The relative contribution of each independent variable to the total variance was found to vary within and among FAs and fish species, but strong correlation coefficients (0.76 < r2 > 0.99) were found for almost all of the FA equations, including saturated FAs, monoenes and long-chain polyunsaturated fatty acids (PUFA) of n-3 and n-6 series. Given the differences in lipogenic activities of the fish species, major interaction effects between fillet lipid content and dummy variables were found for monoenes and saturated FAs. The proposed equations (hosted at www.nutrigroup-iats.org/aquafat) were able to fit different proportions of EPA, DPA and DHA underlying the fish species differences in FA desaturation/elongation pathways. The robustness of the model was proven with extra data from the three fish species, allowing a close linear association near to equality for the scatter plot of observed and predicted values. © 2014 John Wiley & Sons Ltd. This study was funded by Spanish (AQUAFAT, AGL2009-07797, Predictive modelling of flesh fatty acid composition in cultured fish species with different muscle lipid content; AQUAGENOMICS, CSD2007-00002, Improvement of aquaculture production by the use of biotechnological tools) and EU (ARRAINA, KBBE-2011-5-288925, Advanced research initiatives for nutrition and aquaculture) projects. Additional funding was obtained from the ‘Generalitat Valenciana’ (research grant PROMETEO 2010/006). GFB-L was recipient of a Spanish PhD fellowship from the Diputación Provincial de Castellón. Peer Reviewed |
author2 |
Ministerio de Educación y Ciencia (España) Generalitat Valenciana Diputación de Castellón European Commission |
format |
Article in Journal/Newspaper |
author |
Ballester-Lozano, Gabriel F. Benedito-Palos, Laura Riaza, Ana Navarro, Juan Carlos Rosel, Jesús F. Pérez-Sánchez, Jaume |
spellingShingle |
Ballester-Lozano, Gabriel F. Benedito-Palos, Laura Riaza, Ana Navarro, Juan Carlos Rosel, Jesús F. Pérez-Sánchez, Jaume Dummy regression analysis for modelling the nutritionally tailored fillet fatty acid composition of turbot and sole using gilthead sea bream as a reference subgroup category |
author_facet |
Ballester-Lozano, Gabriel F. Benedito-Palos, Laura Riaza, Ana Navarro, Juan Carlos Rosel, Jesús F. Pérez-Sánchez, Jaume |
author_sort |
Ballester-Lozano, Gabriel F. |
title |
Dummy regression analysis for modelling the nutritionally tailored fillet fatty acid composition of turbot and sole using gilthead sea bream as a reference subgroup category |
title_short |
Dummy regression analysis for modelling the nutritionally tailored fillet fatty acid composition of turbot and sole using gilthead sea bream as a reference subgroup category |
title_full |
Dummy regression analysis for modelling the nutritionally tailored fillet fatty acid composition of turbot and sole using gilthead sea bream as a reference subgroup category |
title_fullStr |
Dummy regression analysis for modelling the nutritionally tailored fillet fatty acid composition of turbot and sole using gilthead sea bream as a reference subgroup category |
title_full_unstemmed |
Dummy regression analysis for modelling the nutritionally tailored fillet fatty acid composition of turbot and sole using gilthead sea bream as a reference subgroup category |
title_sort |
dummy regression analysis for modelling the nutritionally tailored fillet fatty acid composition of turbot and sole using gilthead sea bream as a reference subgroup category |
publisher |
John Wiley & Sons |
publishDate |
2014 |
url |
http://hdl.handle.net/10261/144107 https://doi.org/10.1111/anu.12095 https://doi.org/10.13039/501100003359 https://doi.org/10.13039/501100000780 |
genre |
Turbot |
genre_facet |
Turbot |
op_relation |
Postprint https://doi.org/10.1111/anu.12095 Sí issn: 1365-2095 Aquaculture Nutrition 20: 421-430 (2014) http://hdl.handle.net/10261/144107 doi:10.1111/anu.12095 http://dx.doi.org/10.13039/501100003359 http://dx.doi.org/10.13039/501100000780 |
op_rights |
open |
op_doi |
https://doi.org/10.1111/anu.1209510.13039/50110000335910.13039/501100000780 |
container_title |
Aquaculture Nutrition |
container_volume |
20 |
container_issue |
4 |
container_start_page |
421 |
op_container_end_page |
430 |
_version_ |
1790609083952267264 |