Application of low density single nucleotide polymorphism arrays for the analysis of bovine milk fatty acid profile: from nutrition to genetic (Abstract/Poster in atti di convegno)

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  • Application of low density single nucleotide polymorphism arrays for the analysis of bovine milk fatty acid profile: from nutrition to genetic (Abstract/Poster in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • S. Chessa, P. Cremonesi, G. Conte, M. Mele, C. Ferrandi, B. Castiglioni (2013)
    Application of low density single nucleotide polymorphism arrays for the analysis of bovine milk fatty acid profile: from nutrition to genetic
    in ASPA 20th Congress, Bologna, June 11-13, 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • S. Chessa, P. Cremonesi, G. Conte, M. Mele, C. Ferrandi, B. Castiglioni (literal)
Pagina inizio
  • 106 (literal)
Pagina fine
  • 106 (literal)
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  • Italian Journal of Animal Science - Book of Abstracts of the ASPA 20th Congress, Bologna, June 11-13, 2013 (literal)
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  • 12 (literal)
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  • 1 (literal)
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  • supplement-1 (literal)
Note
  • Abstract (literal)
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  • SC, PC, BC - Istituto di Biologia e Biotecnologia Agraria, CNR, Lodi; GC - Centro Interdipartimentale di Ricerche Agro-Ambientali Enrico Avanzi, Università di Pisa, Pisa; MM - Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, Pisa; CF - Parco Tecnologico Padano, Lodi (literal)
Titolo
  • Application of low density single nucleotide polymorphism arrays for the analysis of bovine milk fatty acid profile: from nutrition to genetic (literal)
Abstract
  • Milk is composed by multiple essential nutritional constituents, among which a significant amount of lipids (3%-5%) that may influence both positively and negatively on human health. Bovine milk fat is mainly composed by triglycerides (±98%), consisting in free fatty acids (FA) esterified to a glycerol backbone. The FA composition influences milk nutritional value and product properties, containing the highest percentage (60%-70%) of the assumed health negative trans FA and the highest amount of the health beneficial CLA (0.4-0.7%) and vaccenic acid (0.7-2%). Changing FA composition could therefore result in milk fat with additional value for the dairy industry. Feeding regimen may significantly affect milk fatty acid composition, by modulating both rumen and mammary lipid metabolism, but single individual reply differently to the diet showing differences in milk composition. Among the other factors acting on milk FA composition, genetics is of particular importance since discovering the genes responsible for the differences can allow the selection of individuals with favourable genotypes for milk with better FA composition. We analysed the individual milk samples of 319 Italian Friesian cows randomly collected in 24 herds at 96 single nucleotide polymorphisms (SNP) in genes expected to play a role in milk composition and fat synthesis. A total of 59 SNP were finally used to calculate the associations of the SNP with milk production traits and FA composition using the SAS software (ANOVA). Significant associations (P<0.05) were found for all the analysed phenotypes with a number of SNP ranging from 1 to 11. Information on the feeding regimens allow to divide the farms into 4 different groups and adding this information to the model the SNP significance generally increased together with the number of significant SNP (i.e. from 3 to 6 for CLA), giving a better understanding of the interaction among diet and genetics. (literal)
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