Evidence map›Paper›PMID 32753586›Full record

ArticleScientific reports2020

QTL mapping and GWAS for field kernel water content and kernel dehydration rate before physiological maturity in maize.

Shufang Li, Chunxiao Zhang, Ming Lu, Deguang Yang, Yiliang Qian, Yaohai Yue, Zhijun Zhang, Fengxue Jin, Min Wang, Xueyan Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Candidate genes for kernel ratio in maize identified via combined GWAS and QTL mapping across multiple environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  2. Article
  3. A micropeptide regulates seed desiccation.Frontiers in plant science · 2025
    Article
  4. QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  5. Article
  6. Article
  7. 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

12 authors at 3 institutions in 1 country.

Shufang Li *Crop Germplasm Resources Institute, Jilin Academy of Agricultural Sciences, Kemaoxi Street 303, Gongzhuling, 136100, Jilin Province, China.
Chunxiao Zhang *Crop Germplasm Resources Institute, Jilin Academy of Agricultural Sciences, Kemaoxi Street 303, Gongzhuling, 136100, Jilin Province, China.
Ming LuMaize Research Institute, Jilin Academy of Agricultural Sciences, Gongzhuling, 136100, China.
Deguang YangCollege of Agronomy, Northeast Agricultural University, Harbin, 150030, China.
Yiliang QianMaize Research Center, Anhui Academy of Agricultural Science, Hefei, 230001, China.
Yaohai YueMaize Research Institute, Jilin Academy of Agricultural Sciences, Gongzhuling, 136100, China.
Zhijun ZhangMaize Research Institute, Jilin Academy of Agricultural Sciences, Gongzhuling, 136100, China.
Fengxue JinCrop Germplasm Resources Institute, Jilin Academy of Agricultural Sciences, Kemaoxi Street 303, Gongzhuling, 136100, Jilin Province, China.
Min WangMaize Research Institute, Jilin Academy of Agricultural Sciences, Gongzhuling, 136100, China.
Xueyan LiuCrop Germplasm Resources Institute, Jilin Academy of Agricultural Sciences, Kemaoxi Street 303, Gongzhuling, 136100, Jilin Province, China.
Wenguo LiuMaize Research Institute, Jilin Academy of Agricultural Sciences, Gongzhuling, 136100, China. liuwenguo168@163.com.
Xiaohui LiCrop Germplasm Resources Institute, Jilin Academy of Agricultural Sciences, Kemaoxi Street 303, Gongzhuling, 136100, Jilin Province, China. lixiaohui2002lix@163.com.
Jilin Academy of Agricultural Sciences · CNAnhui Academy of Agricultural Sciences · CNNortheast Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kernel water content (KWC) and kernel dehydration rate (KDR) are two main factors affecting maize seed quality and have a decisive influence on the mechanical harvest. It is of great importance to map and mine candidate genes related to KWCs and KDRs before physiological maturity in maize. 120 double-haploid (DH) lines constructed from Si287 with low KWC and JiA512 with high KWC were used as the mapping population. KWCs were measured every 5 days from 10 to 40 days after pollination, and KDRs were calculated. A total of 1702 SNP markers were used to construct a linkage map, with a total length of 1,309.02 cM and an average map distance of 0.77 cM. 10 quantitative trait loci (QTLs) and 27 quantitative trait nucleotides (QTNs) were detected by genome-wide composite interval mapping (GCIM) and multi-locus random-SNP-effect mixed linear model (mrMLM), respectively. One and two QTL hotspot regions were found on Chromosome 3 and 7, respectively. Analysis of the Gene Ontology showed that 2 GO terms of biological processes (BP) were significantly enriched (P ≤ 0.05) and 6 candidate genes were obtained. This study provides theoretical support for marker-assisted breeding of mechanical harvest variety in maize.

Indexed as

Chromosome MappingGenome-Wide Association StudyHaploidyPhenotypePolymorphism, Single NucleotideQuantitative Trait LociWaterZea maysWater

Identifiers

PMID32753586
PMCPMC7403598
OpenAlexW3047341140

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LicenceCC BY
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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.