Evidence map›Paper›PMID 42802479›Full record

ArticleThe plant genome2026

An IRAT109 NAM population: Genetic characterization and mapping utility for trait dissection in japonica rice (Oryza sativa L.).

Fergie Ann Quilloy, Ricky Vinarao, Christopher Proud, Thi Quynh Chang Nguyen, Dara Daygon, Shu Fukai, Jaquie Mitchell

Abstract read
In one paragraph

Article in The plant genome, 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

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

1 citing paper in PubMed.

  1. Article
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.

Fergie Ann QuilloySchool of Agriculture and Food Sustainability, The University of Queensland, St Lucia, Queensland, Australia.ORCID https://orcid.org/0000-0002-4385-5434
Ricky VinaraoSchool of Agriculture and Food Sustainability, The University of Queensland, St Lucia, Queensland, Australia.ORCID https://orcid.org/0000-0002-2420-1611
Christopher ProudRice Breeding Australia, Leeton, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6867-6360
Thi Quynh Chang NguyenSchool of Agriculture and Food Sustainability, The University of Queensland, St Lucia, Queensland, Australia.ORCID https://orcid.org/0009-0007-6288-3821
Dara DaygonQueensland Metabolomics and Proteomics Facility, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, Australia.ORCID https://orcid.org/0000-0003-0805-5148
Shu FukaiSchool of Agriculture and Food Sustainability, The University of Queensland, St Lucia, Queensland, Australia.ORCID https://orcid.org/0000-0002-1015-9395
Jaquie MitchellSchool of Agriculture and Food Sustainability, The University of Queensland, St Lucia, Queensland, Australia.ORCID https://orcid.org/0000-0001-7641-7935

Funding

Agrifutures Australia PRO-011067Agrifutures Australia PRO-013282Agrifutures Australia PRO-019881The University of Queensland UQ Research Training Program Scholarship
6 · The paper itself

Abstract

Complex agronomic traits in rice (Oryza sativa L.) are controlled by many genetic loci; however, dissection is often constrained in biparental mapping populations by limited recombination and narrow genetic diversity, and in diversity sets by spurious associations arising from cryptic relatedness. To overcome these limitations, we developed a nested association mapping (NAM) population of 422 recombinant inbred lines by crossing the upland tropical japonica IRAT109 with three genetically diverse japonica donors (Norin PL8, Langi, and RL11). Genotyping identified 4515 high‑quality polymorphic single nucleotide polymorphisms and revealed clear population stratification of the three subpopulations, with faster linkage disequilibrium decay (∼1.6 Mb) and broad allelic diversity, confirming that the genetic diversity of the NAM was sufficient for dissecting quantitative traits. Phenotyping under aerobic field conditions across two summer seasons for days to heading (DTH) and plant height (PH) recorded high heritabilities (0.96 for DTH; 0.92 for PH) and wide phenotypic ranges, confirming adequate phenotypic diversity for genomic analyses. Using multi-locus genome-wide association study (GWAS) models (Fixed and Random Model Circulating Probability Unification [FarmCPU] and Bayesian-Information and Linkage-Disequilibrium Iteratively Nested Keyway [BLINK]) alongside biparental linkage mapping, NAM identified nine additional loci undetected in biparental populations, improved mapping resolution by up to 6.3 Mb at specific loci, and revealed two quantitative trait loci (QTLs) co-localizing with known genes controlling DTH and PH, while linkage mapping captured family-specific allelic effects complementary to GWAS. Candidate genes were identified for the major‑effect QTLs qDTH6 (LOC_Os06g15370, LOC_Os06g16370, and LOC_Os06g16390) and qDTH7.1/qPH7.1 (LOC_Os07g15770), with sequence polymorphisms co‑segregating with donor alleles identified in GWAS, demonstrating the value of the IRAT109 NAM population for mapping and the discovery of loci underlying quantitative traits in rice.

Indexed as

OryzaQuantitative Trait LociChromosome MappingGenetic VariationGenome, PlantGenome-Wide Association StudyGenotypeLinkage DisequilibriumPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID42802479
PMCPMC13617205

What Socratic 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 Socratic graph.