Evidence map›Paper›PMID 41246928›Full record

ArticleJournal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie2026

Genetic Parameters of Age at Conception in Nellore Females Using Threshold Models.

Raimundo Nonato Colares Camargo Júnior, Cláudio Vieira de Araújo, Marina de Nadai Bonin Gomes, Feliciano Benedetti de Freitas, Welligton Conceição da Silva, Simone Inoe de Araújo, Éder Bruno Rebelo da Silva, Alison Miranda Santos, José Ribamar Felipe Marques, José de Brito Lourenço-Júnior and 1 more

Abstract read
In one paragraph

Article in Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie, 2026. 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. 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
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.

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.ORCID https://orcid.org/0000-0003-2362-3625
Cláudio Vieira de AraújoDepartment of Agricultural and Environmental Sciences, Federal University of Mato Grosso (UFMT), Sinop, Brazil.ORCID https://orcid.org/0000-0001-9378-7348
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.ORCID https://orcid.org/0000-0002-6910-9368
Feliciano Benedetti de FreitasDepartment of Agricultural and Environmental Sciences, Federal University of Mato Grosso (UFMT), Sinop, Brazil.ORCID https://orcid.org/0000-0003-2680-5547
Welligton Conceição 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.ORCID https://orcid.org/0000-0001-9287-0465
Simone Inoe de AraújoDepartment of Agricultural and Environmental Sciences, Federal University of Mato Grosso (UFMT), Sinop, Brazil.ORCID https://orcid.org/0000-0002-8125-6774
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.ORCID https://orcid.org/0000-0002-2964-8471
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.
José Ribamar Felipe MarquesPostgraduate 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.ORCID https://orcid.org/0000-0002-9986-4719
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.ORCID https://orcid.org/0000-0001-6441-4577
André Guimarães 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.ORCID https://orcid.org/0000-0002-0020-2951

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
6 · The paper itself

Abstract

Age at conception is a critical factor in the intensification of production systems. It is crucial for intensifying production, optimising reproductive efficiency and boosting Nellore female productivity for genetic progress. However, the low heritability estimates currently limit the effectiveness of selection responses, thereby underscoring the necessity for more precise genetic parameter estimation methods. The aim of this study was to evaluate the genetic associations between body weights at weaning and yearling, and age at conception, in Nellore females. The methodology employed in this study involved the utilisation of a mixed polychotomous threshold model, a methodological framework that has been deemed appropriate for the analysis of categorical variables characterised by an underlying continuous distribution. The records of body weights at weaning and yearling, in conjunction with female age at conception, from 796 animals, were treated as a categorical variable associated with conception success. The (co)variance components were estimated via Bayesian inference using a Gibbs sampler. The mean heritability values were 0.43 (0.27; 0.60) for weaning weight, 0.63 (0.46; 0.81) for yearling weight, and 0.19 (0.06; 0.40) for the categorical variable of age at conception. While body weights exhibited a high additive genetic correlation were (0.79; 95% CI: 0.57; 0.96), correlations were lower between the categorical variable and weaning (-0.21; 95% CI: -0.75; 0.28) and yearling (0.34; 95% CI: -0.14; 0.71) weights. The study concluded that indicators of age at conception should incorporate additional selective criteria beyond body weight in order to improve the probability of conception.

Indexed as

FertilizationModels, GeneticAge FactorsAnimalsBayes TheoremBody WeightCattleFemaleReproductionbayesianbeef cattleselectionvarianceweaningyearling

Identifiers

PMID41246928
PMCPMC13054106

What OpenQuestion holds

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LicenceCC BY
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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.