Evidence map›Paper›PMID 24349424›Full record

ArticlePloS one2013

Genetic mapping of quantitative trait loci underlying flowering time in chrysanthemum (Chrysanthemum morifolium).

Fei Zhang, Sumei Chen, Jiafu Jiang, Zhiyong Guan, Weimin Fang, Fadi Chen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 12% 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, 28 citations in OpenAlex.

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  10. An ultra-dense integrated linkage map for hexaploid chrysanthemum enables multi-allelic QTL analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
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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

6 authors at 1 institution in 1 country.

Fei ZhangCollege of Horticulture, Nanjing Agricultural University, Nanjing, China.
Sumei ChenCollege of Horticulture, Nanjing Agricultural University, Nanjing, China.
Jiafu JiangCollege of Horticulture, Nanjing Agricultural University, Nanjing, China.
Zhiyong GuanCollege of Horticulture, Nanjing Agricultural University, Nanjing, China.
Weimin FangCollege of Horticulture, Nanjing Agricultural University, Nanjing, China.
Fadi ChenCollege of Horticulture, Nanjing Agricultural University, Nanjing, China ; Jiangsu Province Engineering Laboratory for Modern Facility Agriculture Technology & Equipment, Nanjing, China.
Nanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flowering time is an important trait in chrysanthemum, but its genetic basis remains poorly understood. An intra-specific mapping population bred from the cross between the autumn-flowering cultivar 'Yuhualuoying' and the summer-flowering 'Aoyunhanxiao' was used to determine the number and relative effect of QTL segregating for five measures of flowering time. From flowering time data recorded over two consecutive seasons, 35 additive QTL were detected, each explaining between 5.8% and 22.7% of the overall phenotypic variance. Of these, 13 were detected in both years. Nine genomic regions harboring QTL for at least two of the five traits were identified. Ten pairs of loci epistatically determined the flowering time, but their contribution to the overall phenotypic variance was less than for the additive QTL. The results suggest that flowering time in chrysanthemum is principally governed by main effect QTL but that epistasis also contributes to the genetic architecture of the trait, and the major QTL identified herein are useful in our ongoing efforts to streamline the improvement of chrysanthemum via the use of molecular methodology.

Indexed as

Chromosome MappingChrysanthemumEpistasis, GeneticQuantitative Trait Loci

Identifiers

PMID24349424
PMCPMC3859611
OpenAlexW2094214939

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.