Evidence map›Paper›PMID 34853357›Full record

ArticleScientific reports2021

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

Giorgia Riuzzi, Hannah Davis, Ilaria Lanza, Gillian Butler, Barbara Contiero, Flaviana Gottardo, Severino Segato

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Giorgia RiuzziDepartment of Animal Medicine, Production and Health, University of Padova, Viale dell'Università, 16, 35020, Legnaro, PD, Italy.
Hannah DavisSchool of Natural and Environmental Science, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK.
Ilaria LanzaDepartment of Animal Medicine, Production and Health, University of Padova, Viale dell'Università, 16, 35020, Legnaro, PD, Italy.
Gillian ButlerSchool of Natural and Environmental Science, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK.
Barbara ContieroDepartment of Animal Medicine, Production and Health, University of Padova, Viale dell'Università, 16, 35020, Legnaro, PD, Italy.
Flaviana GottardoDepartment of Animal Medicine, Production and Health, University of Padova, Viale dell'Università, 16, 35020, Legnaro, PD, Italy.
Severino SegatoDepartment of Animal Medicine, Production and Health, University of Padova, Viale dell'Università, 16, 35020, Legnaro, PD, Italy. severino.segato@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Animal FeedAnimal Nutritional Physiological PhenomenaAnimalsCattleDairyingDietDiscriminant AnalysisFatty AcidsFemaleLactationMilkMultivariate AnalysisNutritive ValuePoaceaeSilageZea maysFatty Acids

Identifiers

PMID34853357
PMCPMC8636629

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.