Evidence map›Paper›PMID 42550355›Full record

ArticleTropical animal health and production2026

Early weaning in pregnant cows as a fetal programming strategy alters the muscle metabotype and carcass traits in Nelore cattle.

Matheus Sousa de Paula Carlis, Gabriela Abitante, Thiago Kan Nishimura, Carl Robertson Dahlen, Nara Regina Brandão Cônsolo, Luiz Alberto Colnago, Fernanda Maria Marins Ocampos, Germán Darío Ramírez-Zamudio, Patricia Maloso Ramos, Saulo Luz Silva and 5 more

Abstract read
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In one paragraph

Article in Tropical animal health and production, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Matheus Sousa de Paula CarlisDepartment of Animal Science, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Gabriela AbitanteDepartment of Animal Science, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Thiago Kan NishimuraDepartment of Animal Reproduction, School of Veterinary Medicine, and Animal Science, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Carl Robertson DahlenDepartment of Animal Science, Center for Nutrition and Pregnancy, North Dakota State University, NDSU Department 7630, Fargo, ND, 58108-6050, USA.
Nara Regina Brandão CônsoloDepartment of Animal Nutrition and Production, Faculty of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, SP, 13635-900, Brazil.
Luiz Alberto ColnagoEmbrapa Instrumentation, Brazilian Agricultural Research Corporation (Embrapa), São Carlos, SP, 13561-206, Brazil.
Fernanda Maria Marins OcamposDepartment of Animal Nutrition and Production, Faculty of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, SP, 13635-900, Brazil.
Germán Darío Ramírez-ZamudioDepartment of Animal Science, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Patricia Maloso RamosDepartment of Animal Science, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Saulo Luz SilvaDepartment of Animal Science, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Miguel Henrique de Almeida SantanaDepartment of Animal Science, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Arlindo Saran NettoDepartment of Animal Science, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Guilherme PugliesiDepartment of Animal Reproduction, School of Veterinary Medicine, and Animal Science, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Paulo Roberto LemeDepartment of Animal Science, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil.
Rodrigo Silva GoulartDepartment of Animal Science, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, 13635-900, Brazil. rgoulart21@gmail.com.ORCID http://orcid.org/0000-0002-4961-3866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated early weaning (EW) versus conventional weaning (CW) and dam parity (DP) effects on carcass traits, meat quality, and the muscle metabolome of male offspring exposed in utero during the intervention. A randomized complete-block design with a 2 × 2 factorial arrangement compared weaning strategies (WS: EW at 150 d lactation/80 d gestation vs. CW at 240 d lactation/170 d gestation) and dam parities (DP: multiparous [MP] vs. secundiparous [SP]). Carcass and meat quality data were analyzed considering the dams as experimental unit by using the Mixed procedure, considering the WS and DP as fixed effect, and their interaction. There was interaction between WS×DP (P < 0.01) for hindquarter fat trim where EW-MP and CW-MP carcasses required more trim fat than EW-SP. EW bulls tended to reduce drip loss (P = 0.07), tended to increased pistola hindquarter (% of carcass; P = 0.09), while significantly raising ultimate carcass pH (P = 0.04) versus CW. An untarget

Indexed as

Body CompositionFetal DevelopmentMeatMetabolomeMuscle, SkeletalWeaningAnimalsCattleFemaleMalePregnancyFetal programmingMaternal nutritionMuscle metabolomicsOne-carbon metabolismRetail cuts yield

Identifiers

PMID42550355
PMCPMC13437664

What OpenQuestion holds

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LicenceCC BY
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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.