Evidence map›Paper›PMID 30258057›Full record

ArticleScientific reports2018

Manipulation and prediction of spike morphology traits for the improvement of grain yield in wheat.

Zifeng Guo, Yusheng Zhao, Marion S Röder, Jochen C Reif, Martin W Ganal, Dijun Chen, Thorsten Schnurbusch

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–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

28 citing papers in PubMed.

  1. Article
  2. Article
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  4. Analysis of Wheat Spike Morphological Traits by 2D Imaging.Plant phenomics (Washington, D.C.) · 2025
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  11. Physical mapping of the wheat genes in low-recombination regions: radiation hybrid mapping of the C-locus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  12. Article
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  16. Genome-Wide Association Analysis for Hybrid Breeding in Wheat.International journal of molecular sciences · 2022
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  17. Article
  18. Article
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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

7 authors.

Zifeng GuoIndependent HEISENBERG Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research, 06466, Gatersleben, Germany.
Yusheng ZhaoResearch Group Quantitative Genetics, Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research, 06466, Gatersleben, Germany.ORCID http://orcid.org/0000-0001-6783-5182
Marion S RöderResearch Group Gene and Genome Mapping, Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research, 06466, Gatersleben, Germany.
Jochen C ReifResearch Group Quantitative Genetics, Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research, 06466, Gatersleben, Germany.ORCID http://orcid.org/0000-0002-6742-265X
Martin W GanalTraitGenetics GmbH, 06466, Gatersleben, Germany.
Dijun ChenResearch Group Image Analysis, Leibniz Institute of Plant Genetics and Crop Plant Research, 06466, Gatersleben, Germany.ORCID http://orcid.org/0000-0002-7456-2511
Thorsten SchnurbuschIndependent HEISENBERG Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research, 06466, Gatersleben, Germany. thor@ipk-gatersleben.de.

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) SCHN 768/8-1
6 · The paper itself

Abstract

In wheat (Triticum spp.), modifying inflorescence (spike) morphology can increase grain number and size and thus improve yield. Here, we demonstrated the potential for manipulating and predicting spike morphology, based on 44 traits. In 12 wheat cultivars, we observed that detillering (removal of branches), which alters photosynthate distribution, changed spike morphology. Our genome-wide association study detected close associations between carbon partitioning (e.g. tiller number, main shoot dry weight) and spike morphology (e.g. spike length, spikelet density) traits in 210 cultivars. Most carbon-partitioning traits (e.g. tiller dry weight, harvest index) demonstrated high prediction abilities (>0.5). For spike morphology, some traits (e.g. total and fertile spikelet number, spike length) displayed high prediction abilities (0.3-0.5), but others (e.g. spikelet fertility, spikelet density) exhibited low prediction abilities (<0.2). Grain size traits were closely correlated in field and greenhouse experiments. Stepwise regression analysis suggests that significantly associated traits in the greenhouse explain 35.35% of the variation in grain yield and 67.63% of the variation in thousand-kernel weight in the field. Therefore, the traits identified in this study affect spike morphology; these traits can be used to predict and improve plant architecture and thus increase yield.

Indexed as

Crop ProductionQuantitative Trait, HeritableSeedsTriticum

Identifiers

PMID30258057
PMCPMC6158183

What OpenQuestion holds

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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.