Evidence map›Paper›PMID 38097941›Full record

ArticleGenetics, selection, evolution : GSE2023

Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models.

João B Silva Neto, Lucio F M Mota, Sabrina T Amorim, Elisa Peripolli, Luiz F Brito, Claudio U Magnabosco, Fernando Baldi

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  9. Heterogeneity of Variances in Milk Yield in Murrah Buffaloes.Animals : an open access journal from MDPI · 2025
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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

7 authors at 5 institutions in 2 countries.

João B Silva NetoDepartment of Animal Science, School of Agricultural and Veterinarian Sciences (FCAV), São Paulo State University (UNESP), Jaboticabal, SP, 14884-900, Brazil. jb.silva-neto@unesp.br.ORCID http://orcid.org/0000-0002-4307-4670
Lucio F M MotaDepartment of Animal Science, School of Agricultural and Veterinarian Sciences (FCAV), São Paulo State University (UNESP), Jaboticabal, SP, 14884-900, Brazil.
Sabrina T AmorimSchool of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.
Elisa PeripolliSchool of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, SP, 13635-900, Brazil.
Luiz F BritoDepartment of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Claudio U MagnaboscoEmbrapa Rice and Beans, GO-462, km12, Santo Antônio de Goiás, GO, 75375-000, Brazil.
Fernando BaldiDepartment of Animal Science, School of Agricultural and Veterinarian Sciences (FCAV), São Paulo State University (UNESP), Jaboticabal, SP, 14884-900, Brazil.
Universidade Estadual Paulista (Unesp) · BRBrazilian Agricultural Research Corporation · BRPurdue University West Lafayette · USUniversidade de São Paulo · BRVirginia Tech · US

Funding

Coordination for the Improvement of Higher Education Personnel - CAPES - Brazil 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/15385-4
6 · The paper itself

Abstract

backgroundSelecting animals for feed efficiency directly impacts the profitability of the beef cattle industry, which contributes to minimizing the environmental footprint of beef production. Genetic and environmental factors influence animal feed efficiency, leading to phenotypic variability when exposed to different environmental conditions (i.e., temperature and nutritional level). Thus, our aim was to assess potential genotype-by-environment (G × E) interactions for dry matter intake (DMI) and residual feed intake (RFI) in Nellore cattle (Bos taurus indicus) based on bi-trait reaction norm models (RN) and evaluate the genetic association between RFI and DMI across different environmental gradient (EG) levels. For this, we used phenotypic information on 12,958 animals (young bulls and heifers) for DMI and RFI recorded during 158 feed efficiency trials.

resultsThe heritability estimates for DMI and RFI across EG ranged from 0.26 to 0.54 and from 0.07 to 0.41, respectively. The average genetic correlations (± standard deviation) across EG for DMI and RFI were 0.83 ± 0.19 and 0.81 ± 0.21, respectively, with the lowest genetic correlation estimates observed between extreme EG levels (low vs. high) i.e. 0.22 for RFI and 0.26 for DMI, indicating the presence of G × E interactions. The genetic correlation between RFI and DMI across EG levels decreased as the EG became more favorable and ranged from 0.79 (lowest EG) to 0.52 (highest EG). Based on the estimated breeding values from extreme EG levels (low vs. high), we observed a moderate Spearman correlation of 0.61 (RFI) and 0.55 (DMI) and a selection coincidence of 53.3% and 40.0% for RFI and DMI, respectively.

conclusionsOur results show evidence of G × E interactions on feed efficiency traits in Nellore cattle, especially in feeding trials with an average daily gain (ADG) that is far from the expected of 1 kg/day, thus increasing reranking of animals.

Indexed as

EatingGene-Environment InteractionAnimal FeedAnimalsCattleFemaleGenotypeMalePhenotype

Identifiers

PMID38097941
PMCPMC10722809
OpenAlexW4389731507

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.