Evidence map›Paper›PMID 41514891›Full record

ArticleBiology2025

Genome-Wide Association Study on Grain Length and Grain Width of Rice.

Xing Li, Siyu Wang, Siyuan Ma, Siqi Liu, Wuzhong Yin, Liang Xu, Chiyu Wang, Xiaoqing Yang, Xin Gu, Xunchao Xiang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Xing LiRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Siyu WangRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Siyuan MaRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Siqi LiuRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Wuzhong YinRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Liang XuRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Chiyu WangRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Xiaoqing YangRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Xin GuRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Xunchao XiangRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.
Yungao HuRice Research Institute, Southwest University of Science and Technology, Mianyang 621010, China.

Funding

Key Research and Development Program of Sichuan 2021YFYZ0016Major Science and Technology Projects in Sichuan Province 2022ZDZX0012Natural Science Foundation of Southwest University of Science and Technology 22zx7144opening Foundation of State Key Laboratory of Crop Gene Resources and Breeding CGRB-2025-03Postgraduate Innovation Fund Project by Southwest University of Science and Technology 25ycx2079
6 · The paper itself

Abstract

The morphology of rice grains represents one of the most vital agronomic characteristics, significantly impacting both grain productivity and the subsequent milling and nutritional quality of the crop. A comprehensive understanding of the genetic basis and molecular drivers of grain shape is vital for the targeted breeding of high-performance rice lines with consistent yield stability. To pinpoint the genomic regions influencing grain dimensions, we conducted a genome-wide association analysis across a panel of 231 distinct rice accessions, focusing on the discovery of loci associated with length and width. Our analysis revealed four consistent quantitative trait loci (QTLs) distributed across chromosomes 3, 4, and 11. Notably, grain length was associated with qGL3.1, qGL3.2, and qGL11. The first two were co-localized with

Indexed as

candidate genesgrain shapeGWAShaplotyperice

Identifiers

PMID41514891
PMCPMC12785118

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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.