Evidence map›Paper›PMID 28096771›Full record

ArticleHereditas2016

Insight into the genetic variability analysis and cultivar identification of tall fescue by using SSR markers.

Kaixin Fu, Zhihui Guo, Xinquan Zhang, Yan Fan, Wendan Wu, Daxu Li, Yan Peng, Linkai Huang, Ming Sun, Shiqie Bai and 1 more

Abstract read
In one paragraph

Article in Hereditas, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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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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

4 citing papers in PubMed.

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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.

Kaixin Fu *Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Zhihui Guo *Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Xinquan ZhangAnimal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Yan FanChongqing Municipal Institute of Animal Husbandry, Chongqing, 400039 China.
Wendan WuAnimal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Daxu LiSichuan Academy of Grassland Science, Chengdu, 611731 China.
Yan PengAnimal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Linkai HuangAnimal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Ming SunAnimal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Shiqie BaiSichuan Academy of Grassland Science, Chengdu, 611731 China.
Xiao MaAnimal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic diversity of 19 forage-type and 2 turf-type cultivars of tall fescue (

resultsA total of 227 clear band was scored with 14 SSR primers and out of which 201 (88.6 %) were found polymorphic. The percentage of polymorphic bands (PPB) per primer pair varied from 62.5 to 100 % with an average of 86.9 %. The polymorphism information content (PIC) value ranged from 0.116 to 0.347 with an average of 0.257 and the highest PIC value (0.347) was noticed for primer NFA040 followed by NFA113 (0.346) whereas the highest discriminating power (D) of 1 was shown in NFA037 and LMgSSR02-01C. A Neighbor-joining dendrogram and the principal component analysis identified six major clusters and grouped the cultivars in agreement with their breeding histories. STRUCTURE analysis divided these cultivars into 3 sub-clades which correspond to distance based groupings.

conclusionThese findings indicates that SSR markers by bulking strategy are a useful tool to measure genetic diversity among tall fescue cultivars and could be used to supplement morphological data for plant variety protection.

Indexed as

Microsatellite RepeatsPolymorphism, GeneticDNA, PlantFestucaGenetic MarkersSequence Analysis, DNADNA, PlantGenetic MarkersCultivar identificationGenetic diversityNeighbor joiningPopulation structurePrincipal component analysisSSR markersTall fescue

Identifiers

PMID28096771
PMCPMC5226091

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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.