Evidence map›Paper›PMID 41234313›Full record

ArticleFrontiers in plant science2025

Increased genomic predictive ability in mango using GWAS-preselected variants and fixed-effect SNPs.

Norman Munyengwa, Melanie J Wilkinson, Daniel Ortiz-Barrientos, Natalie L Dillon, Matthew Webb, Asjad Ali, Ian S E Bally, Alexander A Myburg, Craig M Hardner

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. 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.

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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

9 authors.

Norman MunyengwaQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia.
Melanie J WilkinsonQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia.
Daniel Ortiz-BarrientosSchool of the Environment, The University of Queensland, Brisbane, QLD, Australia.
Natalie L DillonQueensland Department of Primary Industries, Mareeba, QLD, Australia.
Matthew WebbQueensland Department of Primary Industries, Brisbane, QLD, Australia.
Asjad AliQueensland Department of Primary Industries, Mareeba, QLD, Australia.
Ian S E BallyQueensland Department of Primary Industries, Mareeba, QLD, Australia.
Alexander A MyburgDepartment of Genetics, Stellenbosch University, Stellenbosch, South Africa.
Craig M HardnerQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic selection (GS) using whole-genome sequencing (WGS) data has potential to improve breeding value accuracy in fruit trees, but previous studies have reported limited gains compared to high-density marker sets. Incorporating preselected variants identified through genome-wide association studies (GWAS) is a promising strategy to enhance the predictive power of WGS data. We investigated whether incorporating GWAS-preselected variants and fixed-effect markers into genomic best linear unbiased prediction (GBLUP) models improves predictive ability for fruit blush color (FBC), average fruit weight (AFW), fruit firmness (FF), and trunk circumference (TC) in mango (

Indexed as

genome-wide association studiesgenomic predictionGWAS-preselected variantsmangopopulation structureprediction accuracywhole-genome sequencing

Identifiers

PMID41234313
PMCPMC12605043

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.