Evidence map›Paper›PMID 28588594›Full record

ArticleFrontiers in plant science2017

Quantitative Trait Locus Analysis for Deep-Sowing Germination Ability in the Maize IBM Syn10 DH Population.

Hongjun Liu, Lin Zhang, Jiechen Wang, Changsheng Li, Xing Zeng, Shupeng Xie, Yongzhong Zhang, Sisi Liu, Songlin Hu, Jianhua Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  7. A combination of QTL mapping and genome-wide association study revealed the key gene for husk number in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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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

13 authors at 8 institutions in 2 countries.

Hongjun LiuState Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural UniversityTai'an, China.
Lin ZhangDepartment of Agronomy, Northeast Agricultural UniversityHarbin, China.
Jiechen WangNational Key Laboratory of Plant Molecular Genetics, Institute of Plant Physiology & Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of SciencesShanghai, China.
Changsheng LiDepartment of Agronomy, Shenyang Agricultural UniversityShenyang, China.
Xing ZengDepartment of Agronomy, Northeast Agricultural UniversityHarbin, China.
Shupeng XieSuihua Sub-academy, Heilongjiang Academy of Agricultural SciencesSuihua, China.
Yongzhong ZhangDepartment of Plant Genetics and Breeding, College of Agronomy Sciences, Shandong Agricultural UniversityTai'an, China.
Sisi LiuKey Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural UniversityChengdu, China.
Songlin HuDepartment of Agronomy, Iowa State UniversityAmes, IA, United States.
Jianhua WangDepartment of Plant Genetics, Breeding and Seed Science, China Agricultural UniversityBeijing, China.
Michael LeeDepartment of Agronomy, Iowa State UniversityAmes, IA, United States.
Thomas LübberstedtDepartment of Agronomy, Iowa State UniversityAmes, IA, United States.
Guangwu ZhaoThe Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Agriculture and Food Science, Zhejiang Agriculture and Forestry UniversityLin'an, China.
Iowa State University · USNortheast Agricultural University · CNShandong Agricultural University · CNCenter for Excellence in Molecular Plant Sciences · CNChinese Academy of Sciences · CNShenyang Agricultural University · CNSichuan Agricultural University · CNZhejiang A & F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep-sowing is an effective measure to ensure seeds absorbing water from deep soil layer and emerging normally in arid and semiarid regions. However, existing varieties demonstrate poor germination ability in deep soil layer and some key quantitative trait loci (QTL) or genes related to deep-sowing germination ability remain to be identified and analyzed. In this study, a high-resolution genetic map based on 280 lines of the intermated B73 × Mo17 (IBM) Syn10 doubled haploid (DH) population which comprised 6618 bin markers was used for the QTL analysis of deep-sowing germination related traits. The results showed significant differences in germination related traits under deep-sowing condition (12.5 cm) and standard-germination condition (2 cm) between two parental lines. In total, 8, 11, 13, 15, and 18 QTL for germination rate, seedling length, mesocotyl length, plumule length, and coleoptile length were detected for the two sowing conditions, respectively. These QTL explained 2.51-7.8% of the phenotypic variance with LOD scores ranging from 2.52 to 7.13. Additionally, 32 overlapping QTL formed 11 QTL clusters on all chromosomes except for chromosome 8, indicating the minor effect genes have a pleiotropic role in regulating various traits. Furthermore, we identified six candidate genes related to deep-sowing germination ability, which were co-located in the cluster regions. The results provide a basis for molecular marker assisted breeding and functional study in deep-sowing germination ability of maize.

Indexed as

deep-sowinggermination abilityIBM Syn10 DH populationmaizequantitative trait locus

Identifiers

PMID28588594
PMCPMC5439002
OpenAlexW2616655271

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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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.