Evidence map›Paper›PMID 36570880›Full record

ArticleFrontiers in plant science2022

QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster.

Zhen Wang, Smit Dhakal, Mustafa Cerit, Shichen Wang, Yahya Rauf, Shuhao Yu, Frank Maulana, Wangqi Huang, Joshua D Anderson, Xue-Feng Ma and 10 more

Open access · goldAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  7. QTL mapping and candidate gene analysis reveal two major loci regulating green leaf color in non-heading Chinese cabbage.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    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

20 authors at 5 institutions in 1 country.

Zhen WangTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Smit DhakalTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Mustafa CeritTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Shichen WangGenomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, United States.
Yahya RaufTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Shuhao YuTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Frank MaulanaNoble Research Institute, Ardmore, OK, United States.
Wangqi HuangNoble Research Institute, Ardmore, OK, United States.
Joshua D AndersonNoble Research Institute, Ardmore, OK, United States.
Xue-Feng MaNoble Research Institute, Ardmore, OK, United States.
Jackie C RuddTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Amir M H IbrahimDepartment of Soil and Crop Science, Texas A&M University, College Station, TX, United States.
Qingwu XueTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Dirk B HaysDepartment of Soil and Crop Science, Texas A&M University, College Station, TX, United States.
Amy BernardoCentral Small Grain Genotyping Lab and Hard Winter Wheat Genetics Research Unit, U.S. Department of Agriculture-Agricultural Research Service, Manhattan, KS, United States.
Paul St AmandCentral Small Grain Genotyping Lab and Hard Winter Wheat Genetics Research Unit, U.S. Department of Agriculture-Agricultural Research Service, Manhattan, KS, United States.
Guihua BaiCentral Small Grain Genotyping Lab and Hard Winter Wheat Genetics Research Unit, U.S. Department of Agriculture-Agricultural Research Service, Manhattan, KS, United States.
Jason BakerTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Shannon BakerTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Shuyu LiuTexas A&M AgriLife Research and Extension Center, Amarillo, TX, United States.
Texas A&M University System · USNoble Research Institute · USCenter for Grain and Animal Health Research · USTexas A&M University · USAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the Southern Great Plains, wheat cultivars have been selected for a combination of outstanding yield and drought tolerance as a long-term breeding goal. To understand the underlying genetic mechanisms, this study aimed to dissect the quantitative trait loci (QTL) associated with yield components and kernel traits in two wheat cultivars `TAM 112' and `Duster' under both irrigated and dryland environments. A set of 182 recombined inbred lines (RIL) derived from the cross of TAM 112/Duster were planted in 13 diverse environments for evaluation of 18 yield and kernel related traits. High-density genetic linkage map was constructed using 5,081 single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing (GBS). QTL mapping analysis detected 134 QTL regions on all 21 wheat chromosomes, including 30 pleiotropic QTL regions and 21 consistent QTL regions, with 10 QTL regions in common. Three major pleiotropic QTL on the short arms of chromosomes 2B (57.5 - 61.6 Mbps), 2D (37.1 - 38.7 Mbps), and 7D (66.0 - 69.2 Mbps) colocalized with genes

Indexed as

kernel traitsmultiple-environment trialsQTL mappingwheatyield components

Identifiers

PMID36570880
PMCPMC9768232
OpenAlexW4311708036

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.