Evidence map›Paper›PMID 42548777›Full record

ArticleFrontiers in plant science2026

Genomic prediction using a cost-effective mid-density SNP platform in spring wheat.

Yaotian Gao, Guriqbal Singh Dhillon, Amandeep Kaur, Pabitra Joshi, Justin Wheeler, Jianli Chen

Abstract read
In one paragraph

Article in Frontiers in plant science, 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

6 authors.

Yaotian GaoDepartment of Plant Sciences, University of Idaho Aberdeen Research and Extension Center, Aberdeen, ID, United States.
Guriqbal Singh DhillonDepartment of Plant Sciences, University of Idaho Aberdeen Research and Extension Center, Aberdeen, ID, United States.
Amandeep KaurDepartment of Plant Sciences, University of Idaho Aberdeen Research and Extension Center, Aberdeen, ID, United States.
Pabitra JoshiDepartment of Plant Sciences, University of Idaho Aberdeen Research and Extension Center, Aberdeen, ID, United States.
Justin WheelerDepartment of Plant Sciences, University of Idaho Aberdeen Research and Extension Center, Aberdeen, ID, United States.
Jianli ChenDepartment of Plant Sciences, University of Idaho Aberdeen Research and Extension Center, Aberdeen, ID, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotyping cost is one of the major limiting factors for wide adoption of genomic selection in wheat. The present study compared two genotyping platforms, a low-density 4K single nucleotide polymorphism (SNP) chip and a Wheat iSelect 90K SNP, in genomic prediction of grain yield (YLD) and yield related traits in a training population composed of 224 spring wheat lines, and a new population composed of 141 spring wheat lines, with and without consideration of a fixed effect for major plant adaptation genes-derived competitive allele specific PCR (KASP) markers. Five models were evaluated and compared, which included 4K SNP-only, 4K SNP + KASP, 90K SNP-only, 90K SNP + KASP, and KASP-only. Within the training population, the 90K array showed slightly higher predictive ability for YLD, whereas the 4K panel performed better for thousand kernel weight (TKW). Incorporating KASP fixed effects, the 4K SNP + KASP and 90K SNP + KASP models significantly improved prediction for YLD, heading date (HD), and plant height (PHT) compared to the corresponding SNP-only models. KASP-only outperformed both SNP-only models for HD, but for PHT it only outperformed the 4K SNP-only model. In cross-population prediction, KASP-only models outperformed 4K SNP-only for HD and PHT. These results suggest that breeding programs can deploy genomic selection with a mid-density marker platform, especially, the 4K SNP + KASP model offers a cost-effective strategy for genomic prediction, while KASP-only genotyping provides a practical ultra-low-cost option for screening heading date and plant height.

Indexed as

fixed effectgenomic selectionmarker densityplant breedingspring wheatyield prediction

Identifiers

PMID42548777
PMCPMC13429604

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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.