Evidence map›Paper›PMID 36160981›Full record

ArticleFrontiers in plant science2022

Identification of genetic loci for flag-leaf-related traits in wheat (

Ying Wang, Ling Qiao, Chenkang Yang, Xiaohua Li, Jiajia Zhao, Bangbang Wu, Xingwei Zheng, Pengbo Li, Jun Zheng

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
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  8. Dissecting the genetic architecture of flag leaf morphology in Sichuan Wheat Germplasm using genome-wide association study.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  14. Identification of structural variations related to drought tolerance in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    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

9 authors.

Ying WangInstitute of Wheat Research, Shanxi Agricultural University, Linfen, China.
Ling QiaoInstitute of Wheat Research, Shanxi Agricultural University, Linfen, China.
Chenkang YangInstitute of Wheat Research, Shanxi Agricultural University, Linfen, China.
Xiaohua LiInstitute of Wheat Research, Shanxi Agricultural University, Linfen, China.
Jiajia ZhaoInstitute of Wheat Research, Shanxi Agricultural University, Linfen, China.
Bangbang WuInstitute of Wheat Research, Shanxi Agricultural University, Linfen, China.
Xingwei ZhengInstitute of Wheat Research, Shanxi Agricultural University, Linfen, China.
Pengbo LiInstitute of Cotton Research, Shanxi Agricultural University, Yuncheng, China.
Jun ZhengInstitute of Wheat Research, Shanxi Agricultural University, Linfen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flag-leaf-related traits including length (FLL), width (FLW), area (FLA), thickness (FLT), and volume (FLV) of flag leaves are the most important determinants of plant architecture and yield in wheat. Understanding the genetic basis of these traits could accelerate the breeding of high yield wheat varieties. In this study, we constructed a doubled haploid (DH) population and analyzed flag-leaf-related traits in five experimental locations/years using the wheat 90K single-nucleotide polymorphism array. It's worth noting that a novel method was used to measure FLT and FLV easily. Leaf thickness at two-thirds of the leaf length from tip to collar represented the average leaf thickness as measured with freehand sections and was used to calculate the leaf volume. In addition, flag-leaf-related traits showed positive correlations with yield related traits under two different water regimes. A total of 79 quantitative trait loci (QTL) controlling the five traits were detected among all chromosomes except 4D and 5A, explaining 3.09-14.52% of the phenotypic variation. Among them, 15 stable QTL were identified in more than three environments, including two major QTL for FLT, six for FLW, three for FLA, two for FLT and two for FLV. DH lines with positive alleles at both QTL regions had an average FLL (9.90%), FLW (32.87%), FLT (6.62%), FLA (18.47%), and FLV (20.87%) greater than lines with contrasting alleles.

Indexed as

flag leafflag leaf volume measurementgrainquantitative trait lociwheat

Identifiers

PMID36160981
PMCPMC9493265

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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.