Evidence map›Paper›PMID 40736593›Full record

ArticleTropical animal health and production2025

Genotype-environment interaction for growth curve parameters in Nellore cattle using reaction norm models.

Johnny Iglesias Mendes Araujo, Paulo Luiz Souza Carneiro, Leonardo Siqueira Glória, Raimundo Martins Filho, André Campêlo Araujo, Marcos Paulo Gonçalves de Rezende, Thales de Lima Silva, Patrick Romuald Fotso Kenmogne, Paulo Barros Abreu Junior, Carlos Henrique Mendes Malhado

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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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

10 authors.

Johnny Iglesias Mendes AraujoState University of the Southwestern of Bahia, Itapetinga, Bahia, Brazil. johnny-iglesias@hotmail.com.ORCID http://orcid.org/0000-0002-7352-8151
Paulo Luiz Souza CarneiroDepartment of Biological Sciences, State University of the Southwestern of Bahia, Jequié, Bahia, Brazil.
Leonardo Siqueira GlóriaDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.
Raimundo Martins FilhoFederal University of Ceará, Juazeiro do Norte, Ceará, Brazil.
André Campêlo AraujoState University of the Southwestern of Bahia, Itapetinga, Bahia, Brazil.
Marcos Paulo Gonçalves de RezendeNational Holstein, Brown Swiss and Jersey Association, Cremona, Italy.
Thales de Lima SilvaDepartment of Animal Science, School of Agriculture and Veterinarian Sciences, Sao Paulo State University, Jaboticabal, Sao Paulo, Brazil.
Patrick Romuald Fotso KenmogneState University of the Southwestern of Bahia, Itapetinga, Bahia, Brazil.
Paulo Barros Abreu JuniorDepartment of Biological Sciences, State University of the Southwestern of Bahia, Jequié, Bahia, Brazil.
Carlos Henrique Mendes MalhadoDepartment of Biological Sciences, State University of the Southwestern of Bahia, Jequié, Bahia, Brazil.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001
6 · The paper itself

Abstract

Growth curve parameters in cattle are influenced by genetics and environmental factors, as well as their interaction. Therefore, assessing genotype-environmental interaction (GxE) becomes essential to ensure the effectiveness of breeding programs. The objective of this study was to evaluate the GxE effects on the asymptotic weight (A) and maturity rate (K) parameters from the growth curve of Nellore cattle. Data from 240,800k pasture-raised animals was provided by the Brazilian Association of Zebu Breeders for the estimation of the parameters. Five models were used: standard animal model (AM), which disregards GxE, and four hierarchical reaction norm models (HOHRNM

Indexed as

Gene-Environment InteractionAnimalsBrazilBreedingCattleFemaleGenotypeMaleModels, GeneticEnvironmental gradientEnvironmental sensitivityGenetic evaluationGenotype by environmentMixed nonlinear models

Identifiers

PMID40736593

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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.