Evidence map›Paper›PMID 23469248›Full record

ArticlePloS one2013

Association analysis of genomic loci important for grain weight control in elite common wheat varieties cultivated with variable water and fertiliser supply.

Kunpu Zhang, Junjun Wang, Liyi Zhang, Chaowu Rong, Fengwu Zhao, Tao Peng, Huimin Li, Dongmei Cheng, Xin Liu, Huanju Qin and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Review
  6. Article
  7. Review
  8. Article
  9. Molecular Mapping and Genomics of Grain Yield in Durum Wheat: A Review.International journal of molecular sciences · 2020
    Review
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  11. Article
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  13. Article
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  16. A wheat protein kinase gene TaSnRK2.9-5A associated with yield contributing traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    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

13 authors at 5 institutions in 1 country.

Kunpu ZhangThe State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
Junjun Wang
Liyi Zhang
Chaowu Rong
Fengwu Zhao
Tao Peng
Huimin Li
Dongmei Cheng
Xin Liu
Huanju Qin
Aimin Zhang
Yiping Tong
Daowen Wang
Chinese Academy of Sciences · CNInstitute of Genetics and Developmental Biology · CNHebei Academy of Agriculture and Forestry Sciences · CNGuizhou Electric Power Design and Research Institute · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grain weight, an essential yield component, is under strong genetic control and markedly influenced by the environment. Here, by genome-wide association analysis with a panel of 94 elite common wheat varieties, 37 loci were found significantly associated with thousand-grain weight (TGW) in one or more environments differing in water and fertiliser levels. Five loci were stably associated with TGW under all 12 environments examined. Their elite alleles had positive effects on TGW. Four, two, three, and two loci were consistently associated with TGW in the irrigated and fertilised (IF), rainfed (RF), reduced nitrogen (RN), and reduced phosphorus (RP) environments. The elite alleles of the IF-specific loci enhanced TGW under well-resourced conditions, whereas those of the RF-, RN-, or RP-specific loci conferred tolerance to the TGW decrease when irrigation, nitrogen, or phosphorus were reduced. Moreover, the elite alleles of the environment-independent and -specific loci often acted additively to enhance TGW. Four additional loci were found associated with TGW in specific locations, one of which was shown to contribute to the TGW difference between two experimental sites. Further analysis of 14 associated loci revealed that nine affected both grain length and width, whereas the remaining loci influenced either grain length or width, indicating that these loci control grain weight by regulating kernel size. Finally, the elite allele of Xpsp3152 frequently co-segregated with the larger grain haplotype of TaGW2-6A, suggesting probable genetic and functional linkages between Xpsp3152 and GW2 that are important for grain weight control in cereal plants. Our study provides new knowledge on TGW control in elite common wheat lines, which may aid the improvement of wheat grain weight trait in further research.

Indexed as

Quantitative Trait LociAllelesChromosome MappingChromosomes, PlantCrosses, GeneticEdible GrainEnvironmentFertilizersGenetic LinkageGenome-Wide Association StudyHaplotypesNitrogenPhenotypePhosphorusQuantitative Trait, HeritableSeedsFertilizersNitrogenPhosphorusWater

Identifiers

PMID23469248
PMCPMC3587626
OpenAlexW2100314274

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.