Evidence map›Paper›PMID 36684753›Full record

ArticleFrontiers in plant science2022

Genome-wide association study of yield-related traits in common wheat (

Jie Zhao, Lijing Sun, Huimin Gao, Mengyun Hu, Liming Mu, Xiaohu Cheng, Jianbing Wang, Yun Zhao, Qianying Li, Peinan Wang and 2 more

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 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

12 authors.

Jie ZhaoInstitute of Cereal and Oil Crops, Laboratory of Crop Genetics and Breeding of Hebei, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Lijing SunInstitute of Cereal and Oil Crops, Laboratory of Crop Genetics and Breeding of Hebei, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Huimin GaoInstitute of Cash Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Mengyun HuInstitute of Cereal and Oil Crops, Laboratory of Crop Genetics and Breeding of Hebei, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Liming MuInstitute of Cereal Crops, Dingxi Academy of Agricultural Sciences, Dingxi, China.
Xiaohu ChengInstitute of Cereal Crops, Dingxi Academy of Agricultural Sciences, Dingxi, China.
Jianbing WangInstitute of Cereal Crops, Dingxi Academy of Agricultural Sciences, Dingxi, China.
Yun ZhaoInstitute of Cereal and Oil Crops, Laboratory of Crop Genetics and Breeding of Hebei, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Qianying LiInstitute of Cereal and Oil Crops, Laboratory of Crop Genetics and Breeding of Hebei, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Peinan WangInstitute of Cereal and Oil Crops, Laboratory of Crop Genetics and Breeding of Hebei, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Hui LiInstitute of Cereal and Oil Crops, Laboratory of Crop Genetics and Breeding of Hebei, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Yingjun ZhangInstitute of Cereal and Oil Crops, Laboratory of Crop Genetics and Breeding of Hebei, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary goal of modern wheat breeding is to develop new high-yielding and widely adaptable varieties. We analyzed four yield-related agronomic traits in 502 wheat accessions under normal conditions (NC) and drought treatment (DT) conditions over three years. The genome-wide association analysis identified 51 yield-related and nine drought-resistance-related QTL, including 13 for the thousand-grain weight (TGW), 30 for grain length (GL), three for grain width (GW), five for spike length (SL) and nine for stress tolerance index (STI) QTL in wheat. These QTL, containing 72 single nucleotide polymorphisms (SNPs), explained 2.23 - 7.35% of the phenotypic variation across multiple environments. Eight stable SNPs on chromosomes 2A, 2D, 3B, 4A, 5B, 5D, and 7D were associated with phenotypic stability under NC and DT conditions. Two of these stable SNPs had association with TGW and STI. Several novel QTL for TGW, GL and SL were identified on different chromosomes. Three linked SNPs were transformed into kompetitive allele-specific PCR (KASP) markers. These results will facilitate the discovery of promising SNPs for yield-related traits and/or drought stress tolerance and will accelerate the development of new wheat varieties with desirable alleles.

Indexed as

common wheatdroughtGWASKASP markersyield

Identifiers

PMID36684753
PMCPMC9846334

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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.