Evidence map›Paper›PMID 39951178›Full record

ArticleTropical animal health and production2025

Prediction of carcass characteristics of Nellore cattle managed on tropical pastures through performance measures in the rearing phase.

Priscilla Dutra Teixeira, Luís Carlos Vinhas Ítavo, Antonio Leandro Chaves Gurgel, Camila Celeste Brandão Ferreira Ítavo, Marina de Nadai Bonin Gomes, Manoel Gustavo Paranhos da Silva, Alfonso Juventino Chay-Canul

Abstract read
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Article in Tropical animal health and production, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Priscilla Dutra TeixeiraCollege of Veterinary Medicina and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil.
Luís Carlos Vinhas ÍtavoCollege of Veterinary Medicina and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil. luis.itavo@ufms.br.ORCID http://orcid.org/0000-0001-6895-8483
Antonio Leandro Chaves GurgelFederal University of Piauí, Bom Jesus, Piauí, 64900-000, Brazil.
Camila Celeste Brandão Ferreira ÍtavoCollege of Veterinary Medicina and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil.
Marina de Nadai Bonin GomesCollege of Veterinary Medicina and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil.
Manoel Gustavo Paranhos da SilvaCollege of Veterinary Medicina and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil.
Alfonso Juventino Chay-CanulDivisión Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, 86280, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aimed to use the biometric measurements of steers in the rearing phase to predict the carcass characteristics of Nellore cattle managed in tropical pastures. Data from 60 young bulls in the rearing phase supplemented and managed on Brachiaria brizantha pastures during the rainy season and dry-rainy transition and slaughtered at 24 months old after 112 days in feedlot. Descriptive statistical analyses and Pearson's correlation coefficients were performed. The goodness of fit of the developed equations was evaluated by the coefficients of determination (R

Indexed as

Animal HusbandryBody CompositionAnimalsBody WeightBrachiariaCattleMaleTropical ClimateWeight GainBody weightLoin eye areaModelingRump fat thicknessSubcutaneous fat thickness

Identifiers

What OpenQuestion holds

Textmetadata
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.