Evidence map›Paper›PMID 38041713›Full record

ArticleTropical animal health and production2023

Prediction models of carcass characteristics from non‑castrated Nellore cattle finished in the feedlot system under tropical conditions.

Jessika Rodrigues de Figueiredo Moura, Luís Carlos Vinhas Ítavo, Antonio Leandro Chaves Gurgel, Camila Celeste Brandão Ferreira Ítavo, Marina de Nadai Bonin Gomes, Vanessa Zirondi Longhini, Alexandre Menezes Dias, Gelson Dos Santos Difante, Geraldo Tadeu Dos Santos, Ângelo Herbert Moreira Arcanjo and 1 more

Abstract read
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In one paragraph

Article in Tropical animal health and production, 2023. 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

11 authors.

Jessika Rodrigues de Figueiredo MouraFaculdade de Medicina Veterinária e Zootecnia - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Av. Senador Filinto Müller, 2443. Cidade Universitária. CEP, 79070-900, Campo Grande, MS, Brasil.
Luís Carlos Vinhas ÍtavoFaculdade de Medicina Veterinária e Zootecnia - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Av. Senador Filinto Müller, 2443. Cidade Universitária. CEP, 79070-900, Campo Grande, MS, Brasil. luis.itavo@ufms.br.
Antonio Leandro Chaves GurgelCampus Professor Cinobelina Elvas, Universidade Federal Do Piauí, Bom Jesus, Piauí, 64900-000, Brazil.ORCID http://orcid.org/0000-0001-5911-369X
Camila Celeste Brandão Ferreira ÍtavoFaculdade de Medicina Veterinária e Zootecnia - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Av. Senador Filinto Müller, 2443. Cidade Universitária. CEP, 79070-900, Campo Grande, MS, Brasil.
Marina de Nadai Bonin GomesFaculdade de Medicina Veterinária e Zootecnia - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Av. Senador Filinto Müller, 2443. Cidade Universitária. CEP, 79070-900, Campo Grande, MS, Brasil.
Vanessa Zirondi LonghiniFaculdade de Medicina Veterinária e Zootecnia - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Av. Senador Filinto Müller, 2443. Cidade Universitária. CEP, 79070-900, Campo Grande, MS, Brasil.
Alexandre Menezes DiasFaculdade de Medicina Veterinária e Zootecnia - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Av. Senador Filinto Müller, 2443. Cidade Universitária. CEP, 79070-900, Campo Grande, MS, Brasil.
Gelson Dos Santos DifanteFaculdade de Medicina Veterinária e Zootecnia - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Av. Senador Filinto Müller, 2443. Cidade Universitária. CEP, 79070-900, Campo Grande, MS, Brasil.
Geraldo Tadeu Dos SantosFaculdade de Medicina Veterinária e Zootecnia - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Av. Senador Filinto Müller, 2443. Cidade Universitária. CEP, 79070-900, Campo Grande, MS, Brasil.
Ângelo Herbert Moreira ArcanjoFaculdade de Medicina Veterinária e Zootecnia - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Av. Senador Filinto Müller, 2443. Cidade Universitária. CEP, 79070-900, Campo Grande, MS, Brasil.
Alfonso Juventino Chay-CanulDivisión Académica de Ciencias Agropecuarias, Universidade Juárez Autónoma de Tabasco, Villahermosa, Tabasco, 86280, México.

Funding

Capes 001
6 · The paper itself

Abstract

Our objective was to use measures of intake and productive performance to adjust prediction models for the carcass traits of non-castrated Nellore cattle finished in a feedlot. Individual data from 168 non-castrated male Nellore steers finished in feedlot between the years 2016-2021 were used. Descriptive statistical analyzes and Pearson correlation coefficients were performed. The outliers were tested by evaluating the studentized residuals in relation to the values predicted by the equations. Residues that were outside the range of -2.5 to 2.5 were removed. The goodness of fit of the developed equations was evaluated by the coefficients of determination (R

Indexed as

EatingTropical ClimateAnimalsBody CompositionCattleEnergy IntakeMalePhenotypeWeight GainCarcass yieldMathematical modelsRibeye areaShear forceSubcutaneous 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.