Evidence map›Paper›PMID 35348823›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2022

Leaf thickness of barley: genetic dissection, candidate genes prediction and its relationship with yield-related traits.

Zhi Zheng, Haiyan Hu, Shang Gao, Hong Zhou, Wei Luo, Udaykumar Kage, Chunji Liu, Jizeng Jia

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Zhi Zheng *CSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia.
Haiyan Hu *College of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China.
Shang GaoSchool of Life Science, Tsinghua University, Beijing, 100084, China.
Hong ZhouCSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia.
Wei LuoCSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia.
Udaykumar KageCSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia.
Chunji LiuCSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia. chunji.liu@csiro.au.ORCID http://orcid.org/0000-0003-3399-7743
Jizeng JiaNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. jiajizeng@caas.cn.
Commonwealth Scientific and Industrial Research Organisation · AUChinese Academy of Agricultural Sciences · CNHenan Institute of Science and Technology · CNTsinghua University · CN

Funding

Commonwealth Scientific and Industrial Research Organisation R-10191-01Key Scientific and Technological Research Project of Henan Province 192102110030
6 · The paper itself

Abstract

key messageIn this first genetic study on assessing leaf thickness directly in cereals, major and environmentally stable QTL were detected in barley and candidate genes underlying a major locus were identified. Leaf thickness (LT) is an important characteristic affecting leaf functions which have been intensively studied. However, as LT has a small dimension in many plant species and technically difficult to measure, previous studies on this characteristic are often based on indirect estimations. In the first study of detecting QTL controlling LT by directly measuring the characteristic in barley, large and stable loci were detected from both field and glasshouse trials conducted in different cropping seasons by assessing a population of 201 recombinant inbred lines. Four loci (locating on chromosome arms 2H, 3H, 5H and 6H, respectively) were consistently detected for flag leaf thickness (FLT) in each of these trials. The one on 6H had the largest effect, with a maximum LOD 9.8 explaining up to 20.9% of phenotypic variance. FLT does not only show strong interactions with flag leaf width and flag leaf area but has also strong correlations with fertile tiller number, spike row types, kernel number per spike and heading date. Though with reduced efficiency, these loci were also detectable from assessing second last leaf of fully grown plants or even from assessing the third leaves of seedlings. Taking advantage of the high-quality genome assemblies for both parents of the mapping population used in this study, three candidate genes underlying the 6H QTL were predicted based on orthologous analysis. These results do not only broaden our understanding on genetic basis of LT and its relationship with other traits in cereal crops but also form the bases for cloning and functional analysis of genes regulating LT in barley.

Indexed as

HordeumChromosome MappingEdible GrainPhenotypePlant LeavesQuantitative Trait LociBarleyGene predictionLeaf thicknessQTL mapping

Identifiers

PMID35348823
OpenAlexW4221102577

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.