Evidence map›Paper›PMID 37508098›Full record

ArticleAnimals : an open access journal from MDPI2023

Genotype by Prenatal Environment Interaction for Postnatal Growth of Nelore Beef Cattle Raised under Tropical Grazing Conditions.

Mário L Santana, Annaiza B Bignardi, Rodrigo J Pereira, Gerson A Oliveira Junior, Anielly P Freitas, Roberto Carvalheiro, Joanir P Eler, José B S Ferraz, Joslaine N S G Cyrillo, Maria E Z Mercadante

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Mário L SantanaGrupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Rondonópolis (UFR), Rondonópolis 78735-901, Brazil.ORCID 0000-0001-8392-1304
Annaiza B BignardiGrupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Rondonópolis (UFR), Rondonópolis 78735-901, Brazil.
Rodrigo J PereiraGrupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Rondonópolis (UFR), Rondonópolis 78735-901, Brazil.
Gerson A Oliveira JuniorCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Anielly P FreitasCentro de Pesquisa em Bovinos de Corte, Instituto de Zootecnia (IZ), Sertãozinho 14160-900, Brazil.ORCID 0000-0002-6291-5930
Roberto CarvalheiroFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista (UNESP), Jaboticabal 14884-900, Brazil.
Joanir P ElerGrupo de Melhoramento Animal e Biotecnologia (GMAB), Departamento de Medicina Veterinária, FZEA, Universidade de São Paulo (USP), Pirassununga 13635-900, Brazil.ORCID 0000-0003-2939-4798
José B S FerrazGrupo de Melhoramento Animal e Biotecnologia (GMAB), Departamento de Medicina Veterinária, FZEA, Universidade de São Paulo (USP), Pirassununga 13635-900, Brazil.
Joslaine N S G CyrilloCentro de Pesquisa em Bovinos de Corte, Instituto de Zootecnia (IZ), Sertãozinho 14160-900, Brazil.
Maria E Z MercadanteCentro de Pesquisa em Bovinos de Corte, Instituto de Zootecnia (IZ), Sertãozinho 14160-900, Brazil.ORCID 0000-0002-1218-5378

Funding

Fundação de Amparo à Pesquisa do Estado de Mato Grosso 209379/2017
6 · The paper itself

Abstract

The prenatal environment is recognized as crucial for the postnatal performance in cattle. In tropical regions, pregnant beef cows commonly experience nutritional restriction during the second half of the gestation period. Thus, the present study was designed to analyze the genotype by prenatal environment interaction (G × Epn) and to identify genomic regions associated with the level and response in growth and reproduction-related traits of beef cattle to changes in the prenatal environment. A reaction norm model was applied to data from two Nelore herds using the solutions of contemporary groups for birth weight as a descriptor variable of the gestational environment quality. A better gestational environment favored weights until weaning, scrotal circumference at yearling, and days to first calving of the offspring. The G × Epn was strong enough to result in heterogeneity of variance components and genetic parameters in addition to reranking of estimated breeding values and SNPs effects. Several genomic regions associated with the level of performance and specific responses of the animals to variations in the gestational environment were revealed, which harbor QTLs and can be exploited for selection purposes. Therefore, genetic evaluation models considering G × Epn and special management and nutrition care for pregnant cows are recommended.

Indexed as

developmental programmingepigeneticfetal programminggenotype by environment interactionGWASNellorereaction normsSNPzebu

Identifiers

PMID37508098
PMCPMC10376603

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.