Evidence map›Paper›PMID 27486464›Full record

ArticleFrontiers in plant science2016

Genome-Wide QTL Mapping for Wheat Processing Quality Parameters in a Gaocheng 8901/Zhoumai 16 Recombinant Inbred Line Population.

Hui Jin, Weie Wen, Jindong Liu, Shengnan Zhai, Yan Zhang, Jun Yan, Zhiyong Liu, Xianchun Xia, Zhonghu He

Abstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Capturing Wheat Phenotypes at the Genome Level.Frontiers in plant science · 2022
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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

9 authors.

Hui JinNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China; Department of Plant Genetics & Breeding/State Key Laboratory for Agrobiotechnology, China Agricultural UniversityBeijing, China.
Weie WenNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural Sciences Beijing, China.
Jindong LiuNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural Sciences Beijing, China.
Shengnan ZhaiNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural Sciences Beijing, China.
Yan ZhangNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural Sciences Beijing, China.
Jun YanWheat and Maize Research Center, Institute of Cotton Research, Chinese Academy of Agricultural Sciences Anyang, China.
Zhiyong LiuDepartment of Plant Genetics & Breeding/State Key Laboratory for Agrobiotechnology, China Agricultural University Beijing, China.
Xianchun XiaNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural Sciences Beijing, China.
Zhonghu HeNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China; International Maize and Wheat Improvement Center (CIMMYT) China officeBeijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dough rheological and starch pasting properties play an important role in determining processing quality in bread wheat (Triticum aestivum L.). In the present study, a recombinant inbred line (RIL) population derived from a Gaocheng 8901/Zhoumai 16 cross grown in three environments was used to identify quantitative trait loci (QTLs) for dough rheological and starch pasting properties evaluated by Mixograph, Rapid Visco-Analyzer (RVA), and Mixolab parameters using the wheat 90 and 660 K single nucleotide polymorphism (SNP) chip assays. A high-density linkage map constructed with 46,961 polymorphic SNP markers from the wheat 90 and 660 K SNP assays spanned a total length of 4121 cM, with an average chromosome length of 196.2 cM and marker density of 0.09 cM/marker; 6596 new SNP markers were anchored to the bread wheat linkage map, with 1046 and 5550 markers from the 90 and 660 K SNP assays, respectively. Composite interval mapping identified 119 additive QTLs on 20 chromosomes except 4D; among them, 15 accounted for more than 10% of the phenotypic variation across two or three environments. Twelve QTLs for Mixograph parameters, 17 for RVA parameters and 55 for Mixolab parameters were new. Eleven QTL clusters were identified. The closely linked SNP markers can be used in marker-assisted wheat breeding in combination with the Kompetitive Allele Specific PCR (KASP) technique for improvement of processing quality in bread wheat.

Indexed as

high-density linkage mapMixographMixolabQTL mappingquality parametersrapid visco-analyzersingle nucleotide polymorphismTriticum aestivum

Identifiers

PMID27486464
PMCPMC4949415

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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.