Evidence map›Paper›PMID 42111743›Full record

ArticleFrontiers in plant science2026

Mining genes, genomic selection and simulation breeding on hundred-seed weight using a four-way RIL population.

Shuchao Liu, Xianmin Lu, Jiufeng Zhao, Fulin Shan, Zhiyuan Yu, Xu Sun, Guizheng Wang, Haojie Xie, Yanming Zhou, Bo Hu and 2 more

Abstract read
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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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Shuchao Liu *Key Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Xianmin Lu *Key Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Jiufeng Zhao *Key Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Fulin ShanKey Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Zhiyuan YuKey Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Xu SunKey Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Guizheng WangKey Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Haojie XieKey Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Yanming ZhouKey Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Bo HuKey Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Wen-Xia LiKey Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.
Hailong NingKey Laboratory of Soybean Biology, Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics, Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hundred-seed weight (HSW) is a critical determinant of soybean yield potential, yet its genetic dissection is often limited by the restricted allelic diversity of traditional biparental populations. In this study, we developed a four-way recombinant inbred line (FW-RIL) population comprising 144 lines derived from four founders with distinct HSW phenotypes to enhance mapping resolution and allelic richness. By integrating a high-density genetic linkage map with five multi-locus genome-wide association study (GWAS) models, we systemically analyzed the genetic basis of HSW across multiple environments. A total of 16 quantitative trait loci (QTLs) and 40 quantitative trait nucleotides (QTNs) were identified, among which three QTLs and two QTNs were consistently detected across environments and analytical approaches. Co-localization analysis, combined with linkage disequilibrium (LD) mapping, haplotype effect evaluation, and gene expression profiling, prioritized

Indexed as

genomic selectionQTLQTNsimulation breedingsoybean hundred-seed weight

Identifiers

PMID42111743
PMCPMC13149278

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LicenceCC BY
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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.