Evidence map›Paper›PMID 40963591›Full record

ArticleFrontiers in veterinary science2025

Comparison between linear mixed model and threshold model in the estimation of variance components in age at first calving and milk production in buffaloes.

Raimundo Nonato Colares Camargo-Júnior, Cláudio Vieira de Araújo, Marina de Nadai Bonin Gomes, José Ribamar Felipe Marques, Welligton Conceição da Silva, Carlos Eduardo Lima Sousa, Rubens Lima de Andrade, Albiane Sousa de Oliveira, Éder Bruno Rebelo da Silva, Jaqueline Rodrigues Ferreira Cara and 3 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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. Genomic Prediction Ability Using Linear and Threshold Approaches for Different Stayability Definitions in Nellore Females.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    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

13 authors.

Raimundo Nonato Colares Camargo-JúniorPostgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), Federal Rural University of the Amazon (UFRA), Brazilian Agricultural Research Corporation (EMBRAPA), Castanhal, Brazil.
Cláudio Vieira de AraújoDepartment of Agricultural and Environmental Sciences, Federal University of Mato Grosso (UFMT), Sinop, Brazil.
Marina de Nadai Bonin GomesMeat Technology and Processing Laboratory of the College of Veterinary Medicine and Animal Science, Universidade Federal do Mato Grosso do Sul, Campo Grande, Brazil.
José Ribamar Felipe MarquesEmbrapa Eastern Amazon, Belém, Brazil.
Welligton Conceição da SilvaFederal Institute of Education, Science and Technology of Pará (IFPA), Santarém, Brazil.
Carlos Eduardo Lima SousaDepartment of Veterinary Medicine, University Center of the Amazon (UNAMA), Santarem, Brazil.
Rubens Lima de AndradeDepartment of Veterinary Medicine, University Center of the Amazon (UNAMA), Santarem, Brazil.
Albiane Sousa de OliveiraMeat Technology and Processing Laboratory of the College of Veterinary Medicine and Animal Science, Universidade Federal do Mato Grosso do Sul, Campo Grande, Brazil.
Éder Bruno Rebelo da SilvaPostgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), Federal Rural University of the Amazon (UFRA), Brazilian Agricultural Research Corporation (EMBRAPA), Castanhal, Brazil.
Jaqueline Rodrigues Ferreira CaraMeat Technology and Processing Laboratory of the College of Veterinary Medicine and Animal Science, Universidade Federal do Mato Grosso do Sul, Campo Grande, Brazil.
José de Brito Lourenço-JúniorPostgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), Federal Rural University of the Amazon (UFRA), Brazilian Agricultural Research Corporation (EMBRAPA), Castanhal, Brazil.
Alison Miranda SantosPostgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), Federal Rural University of the Amazon (UFRA), Brazilian Agricultural Research Corporation (EMBRAPA), Castanhal, Brazil.
André Guimaraes Maciel E SilvaPostgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), Federal Rural University of the Amazon (UFRA), Brazilian Agricultural Research Corporation (EMBRAPA), Castanhal, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic evaluation of Murrah buffaloes can be optimized by associating milk production, genetic value of sires, and age at first calving. Therefore, the aim of this study was to compare the Linear Mixed Model with the Threshold Model and their genetic association with milk production and the genetic evaluation of sires in the estimation of variance components of age at first calving in Murrah buffalo. The dataset comprised information on total milk production and age at first calving of Murrah buffaloes. The mixed linear animal model, designated as Model 1, was employed to estimate variance components. In a subsequent analysis, designated as Model 2, the age at first calving was examined in conjunction with the milk production. The variance components were obtained by Bayesian inference, using the Gibbs sampler to obtain posterior means. The

Indexed as

Bayesian inferenceGeweke testGibbs samplerMarkov chains via Monte CarloMurrah breed

Identifiers

PMID40963591
PMCPMC12439612

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.