Evidence map›Paper›PMID 38370215›Full record

ArticleHeliyon2024

Mycotoxins evaluation of total mixed ration (TMR) in bovine dairy farms: An update.

Daniela Martins, Ana Lemos, João Silva, Marta Rodrigues, João Simões

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Health Problems with Mycotoxins in Cattle-A Review.Molecules (Basel, Switzerland) · 2025
    Review
  2. Article
  3. Article
  4. 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

5 authors.

Daniela MartinsDepartment of Veterinary Science, Animal and Veterinary Research Centre (CECAV), Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), School of Agricultural and Veterinary Sciences, University of Trás-os-Montes e Alto Douro, 5000-801, Vila Real, Portugal.
Ana LemosAnimal Nutrition, DSM-Firmenich, the Netherlands.
João SilvaCapêloVet, Lda, 4755-252, Barcelos, Portugal.
Marta RodriguesVetlima SA, 2050-501, Azambuja, Portugal.
João SimõesDepartment of Veterinary Science, Animal and Veterinary Research Centre (CECAV), Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), School of Agricultural and Veterinary Sciences, University of Trás-os-Montes e Alto Douro, 5000-801, Vila Real, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The total mixed ration (TMR) is currently a widespread method to feed dairy cows. It is a mixture of raw fodder and concentrate feed that can be contaminated by several mycotoxins. The main aim of this paper was to provide a critical review on TMR mycotoxin occurrence and its usefulness to monitor and control them on-farm. Aflatoxins, zearalenone, deoxynivalenol, T-2 toxin and fumonisins (regulated mycotoxins) are the most prevalent mycotoxins evaluated in TMR. Nonetheless, several emerging mycotoxins represent a health risk at the animal level regarding their prevalence and level in TMR. Even when measured at low levels, the co-occurrence of mycotoxins is frequent and synergistic effects on animal health are still underevaluated. Similar to the animal feed industry, on-farm plans monitoring mycotoxin feed contamination can be developed as a herd health management program. The estimated daily intake of mycotoxins should be implemented, but thresholds for each mycotoxin are not currently defined in dairy farms.

Indexed as

Composite feedDairy cowsEmerging mycotoxinsMycotoxin co-contaminationSilage

Identifiers

PMID38370215
PMCPMC10867658

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.