Evidence map›Paper›PMID 27660632›Full record

ArticleFrontiers in plant science2016

Genome-Wide SNP Linkage Mapping and QTL Analysis for Fiber Quality and Yield Traits in the Upland Cotton Recombinant Inbred Lines Population.

Cong Li, Yating Dong, Tianlun Zhao, Ling Li, Cheng Li, En Yu, Lei Mei, M K Daud, Qiuling He, Jinhong Chen and 1 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

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3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

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  18. GBS-SNP and SSR based genetic mapping and QTL analysis for drought tolerance in upland cotton.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
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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

11 authors.

Cong LiDepartment of Agronomy, Zhejiang University Hangzhou, China.
Yating DongDepartment of Agronomy, Zhejiang University Hangzhou, China.
Tianlun ZhaoDepartment of Agronomy, Zhejiang University Hangzhou, China.
Ling LiDepartment of Agronomy, Zhejiang University Hangzhou, China.
Cheng LiDepartment of Agronomy, Zhejiang University Hangzhou, China.
En YuDepartment of Agronomy, Zhejiang University Hangzhou, China.
Lei MeiDepartment of Agronomy, Zhejiang University Hangzhou, China.
M K DaudDepartment of Biotechnology and Genetic Engineering, Kohat University of Science and Technology Kohat, Pakistan.
Qiuling HeDepartment of Agronomy, Zhejiang University Hangzhou, China.
Jinhong ChenDepartment of Agronomy, Zhejiang University Hangzhou, China.
Shuijin ZhuDepartment of Agronomy, Zhejiang University Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is of significance to discover genes related to fiber quality and yield traits and tightly linked markers for marker-assisted selection (MAS) in cotton breeding. In this study, 188 F8 recombinant inbred lines (RILs), derived from a intraspecific cross between HS46 and MARCABUCAG8US-1-88 were genotyped by the cotton 63K single nucleotide polymorphism (SNP) assay. Field trials were conducted in Sanya, Hainan Province, during the 2014-2015 cropping seasons under standard conditions. Results revealed significant differences (P < 0.05) among RILs, environments and replications for fiber quality and yield traits. Broad-sense heritabilities of all traits including fiber length, fiber uniformity, micronaire, fiber elongation, fiber strength, boll weight, and lint percentage ranged from 0.26 to 0.66. A 1784.28 cM (centimorgans) linkage map, harboring 2618 polymorphic SNP markers, was constructed, which had 0.68 cM per marker density. Seventy-one quantitative trait locus (QTLs) for fiber quality and yield traits were detected on 21 chromosomes, explaining 4.70∼32.28% phenotypic variance, in which 16 were identified as stable QTLs across two environments. Meanwhile, 12 certain regions were investigated to be involved in the control of one (hotspot) or more (cluster) traits, mainly focused on Chr05, Chr09, Chr10, Chr14, Chr19, and Chr20. Nineteen pairs of epistatic QTLs (e-QTLs) were identified, of which two pairs involved in two additive QTLs. These additive QTLs, e-QTLs, and QTL clusters were tightly linked to SNP markers, which may serve as target regions for map-based cloning, gene discovery, and MAS in cotton breeding.

Indexed as

cotton 63K SNP arraylinkage analysismolecular markerQTLsupland cotton

Identifiers

PMID27660632
PMCPMC5014859

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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.