Evidence map›Paper›PMID 29593752›Full record

ArticleFrontiers in plant science2018

Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat.

Kendra L Jernigan, Jayfred V Godoy, Meng Huang, Yao Zhou, Craig F Morris, Kimberly A Garland-Campbell, Zhiwu Zhang, Arron H Carter

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.5field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 51 citations in OpenAlex.

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  9. Comparison of single-trait and multi-trait genomic predictions on agronomic and disease resistance traits in spring wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 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

8 authors at 3 institutions in 1 country.

Kendra L JerniganDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Jayfred V GodoyDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Meng HuangDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Yao ZhouDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Craig F MorrisWestern Wheat Quality Laboratory, Agricultural Research Service, United States Department of Agriculture, Pullman, WA, United States.
Kimberly A Garland-CampbellWheat Health, Genetics, and Quality Research Unit, Agricultural Research Service, United States Department of Agriculture, Pullman, WA, United States.
Zhiwu ZhangDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Arron H CarterDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Washington State University · USAgricultural Research Service · USQuality Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft white wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 soft white winter wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

Indexed as

association mappingend-use qualitylinkage disequilibriumPacific Northwestplant breedingsoft white wheat

Identifiers

PMID29593752
PMCPMC5861628
OpenAlexW2791913645

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.