Evidence map›Paper›PMID 32271818›Full record

ArticlePloS one2020

Quantitative phenotyping of shell suture strength in walnut (Juglans regia L.) enhances precision for detection of QTL and genome-wide association mapping.

Gina M Sideli, Annarita Marrano, Sara Montanari, Charles A Leslie, Brian J Allen, Hao Cheng, Patrick J Brown, David B Neale

Abstract read
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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  10. Genetic Analysis of Walnut (G3 (Bethesda, Md.) · 2020
    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

8 authors.

Gina M SideliDepartment of Plant Sciences, University of California, Davis, CA, United States of America.ORCID 0000-0003-1056-1496
Annarita MarranoDepartment of Plant Sciences, University of California, Davis, CA, United States of America.ORCID 0000-0001-9560-2706
Sara MontanariPlant and Food Research, Motueka Research Center, Motueka, New Zealand.
Charles A LeslieDepartment of Plant Sciences, University of California, Davis, CA, United States of America.
Brian J AllenDepartment of Plant Sciences, University of California, Davis, CA, United States of America.
Hao ChengDepartment of Animal Sciences, University of California, Davis, CA, United States of America.
Patrick J BrownDepartment of Plant Sciences, University of California, Davis, CA, United States of America.
David B NealeDepartment of Plant Sciences, University of California, Davis, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Walnut shell suture strength directly impacts the ability to maintain shell integrity during harvest and processing, susceptibility to insect damage and other contamination, and the proportion of kernel halves recovered during cracking. Suture strength is therefore an important breeding objective. Here, two methods of phenotyping this trait were investigated: 1) traditional, qualitative and rather subjective scoring on an interval scale by human observers, and; 2) quantitative and continuous measurements captured by a texturometer. The aim of this work was to increase the accuracy of suture strength phenotyping and to then apply two mapping approaches, quantitative trait loci (QTL) mapping and genome wide association (GWAS) models, in order to dissect the genetic basis of the walnut suture trait. Using data collected on trees within the UC Davis Walnut Improvement Program (n = 464), the genetic correlation between the texturometer method and qualitatively scored method was high (0.826). Narrow sense heritability calculated using quantitative measurements was 0.82. A major QTL for suture strength was detected on LG05, explaining 34% of the phenotypic variation; additionally, two minor QTLs were identified on LG01 and LG11. All three QTLs were confirmed with GWAS on corresponding chromosomes. The findings reported in this study are relevant for application towards a molecular breeding program in walnut.

Indexed as

Genome-Wide Association StudyAnalysis of VarianceGenetic Association StudiesGenotypeInheritance PatternsJuglansLinkage DisequilibriumPhenotypePolymorphism, Single NucleotidePrincipal Component AnalysisQuantitative Trait, HeritableQuantitative Trait LociSoftware

Identifiers

PMID32271818
PMCPMC7144996

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.