Evidence map›Paper›PMID 33264303›Full record

ArticlePloS one2020

Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112.

Yan Yang, Smit Dhakal, Chenggen Chu, Shichen Wang, Qingwu Xue, Jackie C Rudd, Amir M H Ibrahim, Kirk Jessup, Jason Baker, Maria Pilar Fuentealba and 5 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  6. Meta-QTL mapping for wheat thousand kernel weight.Frontiers in plant science · 2024
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  9. MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.).DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
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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

15 authors at 2 institutions in 1 country.

Yan YangTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.
Smit DhakalTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.ORCID 0000-0002-1166-1168
Chenggen ChuTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.ORCID 0000-0001-6189-5985
Shichen WangGenomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, United States of America.
Qingwu XueTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.
Jackie C RuddTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.
Amir M H IbrahimDepartment of Soil and Crop Science, Texas A&M University, College Station, Texas, United States of America.
Kirk JessupTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.
Jason BakerTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.
Maria Pilar FuentealbaTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.
Ravindra DevkotaTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.
Shannon BakerTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.
Charles D JohnsonGenomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, United States of America.
Richard MetzGenomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, United States of America.
Shuyu LiuTexas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.
Texas A&M University System · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two drought-tolerant wheat cultivars, 'TAM 111' and 'TAM 112', have been widely grown in the Southern Great Plains of the U.S. and used as parents in many wheat breeding programs worldwide. This study aimed to reveal genetic control of yield and yield components in the two cultivars under both dryland and irrigated conditions. A mapping population containing 124 F5:7 recombinant inbred lines (RILs) was developed from the cross of TAM 112/TAM 111. A set of 5,948 SNPs from the wheat 90K iSelect array and double digest restriction-site associated DNA sequencing was used to construct high-density genetic maps. Data for yield and yield components were obtained from 11 environments. QTL analyses were performed based on 11 individual environments, across all environments, within and across mega-environments. Thirty-six unique consistent QTL regions were distributed on 13 chromosomes including 1A, 1B, 1D, 2A, 2D, 3D, 4B, 4D, 6A, 6B, 6D, 7B, and 7D. Ten unique QTL with pleiotropic effects were identified on four chromosomes and eight were in common with the consistent QTL. These QTL increased dry biomass grain yield by 16.3 g m-2, plot yield by 28.1 g m-2, kernels spike-1 by 0.7, spikes m-2 by 14.8, thousand kernel weight by 0.9 g with favorable alleles from either parent. TAM 112 alleles mainly increased spikes m-2 and thousand kernel weight while TMA 111 alleles increased kernels spike-1, harvest index and grain yield. The saturated genetic map and markers linked to significant QTL from this study will be very useful in developing high throughput genotyping markers for tracking the desirable haplotypes of these important yield-related traits in popular parental cultivars.

Indexed as

Gene-Environment InteractionPolymorphism, Single NucleotideQuantitative Trait LociAgricultural IrrigationAllelesChromosome MappingChromosomes, PlantDNA, PlantGenetic Association StudiesGenetic LinkageGenetic MarkersGenome-Wide Association StudyGenotypeHaplotypesMultifactorial InheritanceOrgan SizeDNA, PlantGenetic Markers

Identifiers

PMID33264303
PMCPMC7710072
OpenAlexW3107963438

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.