Evidence map›Paper›PMID 31035920›Full record

ArticleBMC plant biology2019

Genetic architecture of grain yield in bread wheat based on genome-wide association studies.

Faji Li, Weie Wen, Jindong Liu, Yong Zhang, Shuanghe Cao, Zhonghu He, Awais Rasheed, Hui Jin, Chi Zhang, Jun Yan and 3 more

Abstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 2 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

113 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Genome-wide association studies reveal genomic regions for kernel-related traits in durum wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  10. Genome-wide association study of alkali tolerance at germination stage in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  17. Joint linkage and association analysis identifies genomic regions and candidate genes for yield-related traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  20. Mapping and validation of QTkw.cau-3DL, a major QTL controlling thousand-kernel weight in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article

53 more citing papers are in PubMed but not listed here.

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.

Faji LiCollege of Agronomy, Xinjiang Agricultural University, Urumqi, 830052, Xinjiang, China.
Weie WenCollege of Agronomy, Xinjiang Agricultural University, Urumqi, 830052, Xinjiang, China.
Jindong LiuInstitute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
Yong ZhangInstitute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
Shuanghe CaoInstitute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
Zhonghu HeInstitute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
Awais RasheedInstitute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
Hui JinInstitute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
Chi ZhangSchool of Chemical Science and Engineering, Royal Institute of Technology, Teknikringen 42, SE-100 44, Stockholm, Sweden.
Jun YanInstitute of Cotton Research, Chinese Academy of Agricultural Sciences (CAAS), 38 Huanghe Street, Anyang, 455000, Henan, China.
Pingzhi ZhangCrop Research Institute, Anhui Academy of Agricultural Sciences, 40 Nongke South Street, Hefei, 230001, Anhui, China.
Yingxiu WanCrop Research Institute, Anhui Academy of Agricultural Sciences, 40 Nongke South Street, Hefei, 230001, Anhui, China.
Xianchun XiaInstitute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China. xiaxianchun@caas.cn.ORCID http://orcid.org/0000-0003-2071-197X

Funding

CAAS Science and Technology Innovation Program NoNational Basic Research Program of China 2014CB138105National Key Research and Development Programs of China 2016YFD0101802National Key Research and Development Programs of China 2016YFE0108600National Natural Science Foundation of China 31461143021
6 · The paper itself

Abstract

backgroundIdentification of loci for grain yield (GY) and related traits, and dissection of the genetic architecture are important for yield improvement through marker-assisted selection (MAS). Two genome-wide association study (GWAS) methods were used on a diverse panel of 166 elite wheat varieties from the Yellow and Huai River Valleys Wheat Zone (YHRVWD) of China to detect stable loci and analyze relationships among GY and related traits.

resultsA total of 326,570 single nucleotide polymorphism (SNP) markers from the wheat 90 K and 660 K SNP arrays were chosen for GWAS of GY and related traits, generating a physical distance of 14,064.8 Mb. One hundred and twenty common loci were detected using SNP-GWAS and Haplotype-GWAS, among which two were potentially functional genes underpinning kernel weight and plant height (PH), eight were at similar locations to the quantitative trait loci (QTL) identified in recombinant inbred line (RIL) populations in a previous study, and 78 were potentially new. Twelve pleiotropic loci were detected on eight chromosomes; among these the interval 714.4-725.8 Mb on chromosome 3A was significantly associated with GY, kernel number per spike (KNS), kernel width (KW), spike dry weight (SDW), PH, uppermost internode length (UIL), and flag leaf length (FLL). GY shared five loci with thousand kernel weight (TKW) and PH, indicating significantly affected by two traits. Compared with the total number of loci for each trait in the diverse panel, the average number of alleles for increasing phenotypic values of GY, TKW, kernel length (KL), KW, and flag leaf width (FLW) were higher, whereas the numbers for PH, UIL and FLL were lower. There were significant additive effects for each trait when favorable alleles were combined. UIL and FLL can be directly used for selecting high-yielding varieties, whereas FLW can be used to select spike number per unit area (SN) and KNS.

conclusionsThe loci and significant SNP markers identified in the present study can be used for pyramiding favorable alleles in developing high-yielding varieties. Our study proved that both GWAS methods and high-density genetic markers are reliable means of identifying loci for GY and related traits, and provided new insight to the genetic architecture of GY.

Indexed as

Genome, PlantGenome-Wide Association StudyAllelesChinaGenetic MarkersGenetic PleiotropyGenetic VariationHaplotypesLinkage DisequilibriumPhenotypePlant DevelopmentPlant LeavesPolymorphism, Single NucleotideQuantitative Trait LociSeedsTriticumGenetic MarkersGWASMarker-assisted selectionSingle nucleotide polymorphismTriticum aestivum

Identifiers

PMID31035920
PMCPMC6489268

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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.