Evidence map›Paper›PMID 39367030›Full record

ArticleNPJ science of food2024

Fatty acids and secondary metabolites can predict grass-finished beef and supplemental cattle feeds.

Lucas Krusinski, Isabella C F Maciel, Stephan van Vliet, Muhammad Ahsin, Julianna Adams, Guanqi Lu, Chad A Bitler, Jason E Rowntree, Jenifer I Fenton

Abstract read
In one paragraph

Article in NPJ science of food, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Lucas KrusinskiDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA.ORCID http://orcid.org/0000-0001-7387-3839
Isabella C F MacielDepartment of Animal Science, Michigan State University, East Lansing, MI, USA.
Stephan van VlietCenter for Human Nutrition Studies, Department of Nutrition, Dietetics, and Food Sciences, Utah State University, Logan, UT, USA.
Muhammad AhsinCenter for Human Nutrition Studies, Department of Nutrition, Dietetics, and Food Sciences, Utah State University, Logan, UT, USA.
Julianna AdamsDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA.
Guanqi LuDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA.ORCID http://orcid.org/0009-0003-8393-5150
Chad A BitlerGreenacres Foundation, Cincinnati, OH, USA.
Jason E RowntreeDepartment of Animal Science, Michigan State University, East Lansing, MI, USA.
Jenifer I FentonDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA. imigjeni@msu.edu.ORCID http://orcid.org/0000-0002-8875-3239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beef raised using rotational grazing practices on biodiverse pastures offers potential benefits to animal and environmental health and can improve the nutrient density of meat to favor human health. However, many cattle producers contend with the seasonal unavailability of fresh forage, necessitating the utilization of supplementary feeds or indoor feeding. The objective of this study was to profile secondary metabolites and fatty acids in grass-finished beef supplemented with different feeds (4.5 kg/head/day) and to explore the potential for grass-finished beef authentication. In this two-year study, steers (n = 115) were randomly allocated to one of four diets: 1) pastured/supplemented with hay (control group), 2) pastured/supplemented with baleage, 3) pastured/supplemented with soybean hulls, or 4) baleage/soybean hulls in confinement. Secondary metabolites and fatty acids were measured using UHPLC-MS/MS and GC-MS, respectively. Of the 94 measured metabolites, pyridoxine, alpha-tocopherol, hippuric acid, and gallic acid differed between diets (p < 0.05 for all). Based on random forest classification, beef from the pasture/hay, pasture/baleage, pasture/soybean hulls, and confinement baleage/soybean hulls groups could be identified with a predictive accuracy of 100%, 50%, 41%, and 97%, respectively. Although minimal significant differences were observed, our data indicate that certain supplemental feeds maintain favorable nutritional profiles of grass-finished beef. In addition, metabolomics can predict cattle on exclusively forage-based or feed-based diets with a high degree of certainty.

Identifiers

PMID39367030
PMCPMC11452727

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Registered trials

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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.