Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration

Abstract Although there are many studies on the importance of fatty acids (FA) in our diet and on the influence of dairy diets on FA metabolism, only a few investigate their predictive capacity to discriminate the type, amount and conservation method of farm forages. This research quantifies differe...

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Autores principales:	Giorgia Riuzzi, Hannah Davis, Ilaria Lanza, Gillian Butler, Barbara Contiero, Flaviana Gottardo, Severino Segato
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7c8f45460a0a4a338b7e22b50a6ab855
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spelling	oai:doaj.org-article:7c8f45460a0a4a338b7e22b50a6ab8552021-12-05T12:14:28ZMultivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration10.1038/s41598-021-02600-92045-2322https://doaj.org/article/7c8f45460a0a4a338b7e22b50a6ab8552021-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02600-9https://doaj.org/toc/2045-2322Abstract Although there are many studies on the importance of fatty acids (FA) in our diet and on the influence of dairy diets on FA metabolism, only a few investigate their predictive capacity to discriminate the type, amount and conservation method of farm forages. This research quantifies differences in milk FA concentrations and, using a supervised factorial discriminant analysis, assesses potential biomarkers when replacing maize with other silages, grass/lucerne hays or fresh grass. The statistical modelling identified three main clusters of milk FA profiles associated with silages, hays and fresh grass as dominant roughages. The main implication of a dairy cow feeding system based on poliphytic forages from permanent meadows is enhancing milk’s nutritional quality due to an increase in beneficial omega-3 polyunsaturated FA, conjugated linoleic acids and odd chain FA, compared to feeding maize silage. The study also identified a small but powerful and reliable pool of milk FA that can act as biomarkers to authenticate feeding systems: C16:1 c-9, C17:0, C18:0, C18:3 c-9, c-12, c-15, C18:1 c-9, C18:1 t-11 and C20:0.Giorgia RiuzziHannah DavisIlaria LanzaGillian ButlerBarbara ContieroFlaviana GottardoSeverino SegatoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Giorgia Riuzzi Hannah Davis Ilaria Lanza Gillian Butler Barbara Contiero Flaviana Gottardo Severino Segato Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration
description	Abstract Although there are many studies on the importance of fatty acids (FA) in our diet and on the influence of dairy diets on FA metabolism, only a few investigate their predictive capacity to discriminate the type, amount and conservation method of farm forages. This research quantifies differences in milk FA concentrations and, using a supervised factorial discriminant analysis, assesses potential biomarkers when replacing maize with other silages, grass/lucerne hays or fresh grass. The statistical modelling identified three main clusters of milk FA profiles associated with silages, hays and fresh grass as dominant roughages. The main implication of a dairy cow feeding system based on poliphytic forages from permanent meadows is enhancing milk’s nutritional quality due to an increase in beneficial omega-3 polyunsaturated FA, conjugated linoleic acids and odd chain FA, compared to feeding maize silage. The study also identified a small but powerful and reliable pool of milk FA that can act as biomarkers to authenticate feeding systems: C16:1 c-9, C17:0, C18:0, C18:3 c-9, c-12, c-15, C18:1 c-9, C18:1 t-11 and C20:0.
format	article
author	Giorgia Riuzzi Hannah Davis Ilaria Lanza Gillian Butler Barbara Contiero Flaviana Gottardo Severino Segato
author_facet	Giorgia Riuzzi Hannah Davis Ilaria Lanza Gillian Butler Barbara Contiero Flaviana Gottardo Severino Segato
author_sort	Giorgia Riuzzi
title	Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration
title_short	Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration
title_full	Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration
title_fullStr	Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration
title_full_unstemmed	Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration
title_sort	multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7c8f45460a0a4a338b7e22b50a6ab855
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Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration

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