Evidence map›Paper›PMID 40522407›Full record

ArticleTropical animal health and production2025

Effect of the genotype and environment interaction on body weight traits in Nelore cattle (Bos indicus).

Raimundo Nonato Colares Camargo-Júnior, Cláudio Vieira de Araújo, Caio de Souza Teixeira, Simone Inoe de Araújo, Raysildo Barbosa Lôbo, Lílian Roberta Matimoto Nakabashi, Letícia M Mendes de Castro, Flávio Luiz Menezes, André Guimarães Maciel E Silva, José Ribamar Felipe Marques and 7 more

Abstract read
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In one paragraph

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 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. Genetic Parameters of Age at Conception in Nellore Females Using Threshold Models.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    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

17 authors.

Raimundo Nonato Colares Camargo-JúniorPostgraduate Program in Animal Science (PPGCAN) of the Federal University of Pará (UFPA), Castanhal, Pará, Brazil.
Cláudio Vieira de AraújoFederal University of Mato Grosso (UFMT), Sinop, Mato Grosso, Brazil. cvaufmt@gmail.com.ORCID http://orcid.org/0000-0001-9378-7348
Caio de Souza TeixeiraFederal University of Mato Grosso (UFMT), Sinop, Mato Grosso, Brazil.
Simone Inoe de AraújoFederal University of Mato Grosso (UFMT), Sinop, Mato Grosso, Brazil.
Raysildo Barbosa LôboAssociação Nacional de Criadores E Pesquisadores (ANCP), Ribeirão Preto, São Paulo, Brazil.
Lílian Roberta Matimoto NakabashiAssociação Nacional de Criadores E Pesquisadores (ANCP), Ribeirão Preto, São Paulo, Brazil.
Letícia M Mendes de CastroAssociação Nacional de Criadores E Pesquisadores (ANCP), Ribeirão Preto, São Paulo, Brazil.
Flávio Luiz MenezesFederal University of Mato Grosso (UFMT), Sinop, Mato Grosso, Brazil.
André Guimarães Maciel E SilvaFederal University of Pará (UFPA), Castanhal, Pará, Brazil.
José Ribamar Felipe MarquesEmbrapa Amazônia Oriental, Belém, Pará, Brazil.
Welligton Conceição da SilvaPostgraduate Program in Animal Science (PPGCAN) of the Federal University of Pará (UFPA), Castanhal, Pará, Brazil.
Marco Aurélio Lopes Della FloraFederal Institute of Education Science and Technology of Pará (IFPA), Marabá, Pará, Brazil.
Hipócrates de Menezes ChalkidisAmazon University Center, Santarém, Pará, Brazil.
Carlos Eduardo Lima SousaDepartment of Veterinary Medicine, University Center of the Amazon (UNAMA), Santarem, 68010-200, Brazil.
Éder Bruno Rebelo da SilvaPostgraduate Program in Animal Science (PPGCAN) of the Federal University of Pará (UFPA), Castanhal, Pará, Brazil.
Jamile Andréa Rodrigues da SilvaInstitute of Animal Health and Production, Federal Rural University of the Amazônia (UFRA), Belem, 66077-830, Brazil.
José de Brito Lourenço-JúniorPostgraduate Program in Animal Science (PPGCAN) of the Federal University of Pará (UFPA), Castanhal, Pará, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the genotype-environment interaction and its impact on the genetic evaluation of sires for body weight traits in Nellore cattle. Records of standardized weights at 120 (W120), 210 (W210), 365 (W365), and 450 (W450) days of age were used for 28,570 Nelore cattle, the progeny of 179 sires and 17,998 dams from herds in the states of Mato Grosso, Mato Grosso do Sul, and Goiás. The months of birth of animals were grouped into seasons that corresponded to the months with the lowest and highest rainfall. The variance components and prediction of breeding values of the animals were estimated. As a result, the posterior means of additive genetic variance components for W120 and W210 were higher in Mato Grosso compared to Mato Grosso do Sul and Goiás and which single-trait model. Posterior means of direct heritability's for W120 and W210 were higher in Mato Grosso. Regarding yearly (W365) and yearling (W450) weights, the posterior means of the additive genetic variance components for Goiás were higher than those for Mato Grosso and Mato Grosso do Sul and for the single-trait model. The state of Mato Grosso, in turn, was the one that presented the posterior mean of the higher residual variance component for W450. Posterior regression coefficients for W120 and W210 indicated that the breeding values of the sires were underestimated by the single-trait model in the state of Mato Grosso. Spearman's and additive genetic correlation coefficient values indicated changes between the ranking of sires for body weights, especially between Mato Grosso (MT) and Mato Grosso do Sul (MS). It is concluded that there is a presence of GxE on the selection criteria for the weight development of Nelore cattle in the Midwest Region of Brazil.

Indexed as

Body WeightGene-Environment InteractionAnimalsBrazilBreedingCattleFemaleGenetic VariationGenotypeMaleModels, GeneticSeasonsBody weight traitsGenetic evaluationGenotype-environment interactionMidwest Brazil

Identifiers

What OpenQuestion holds

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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.