Evidence map›Paper›PMID 30800608›Full record

Article3 Biotech2019

Intra-population genetic diversity of

Feifei Wu, Junhan Chen, Jianli Wang, Xianguo Wang, Yan Lu, Yaming Ning, Yongxiang Li

Abstract read
In one paragraph

Article in 3 Biotech, 2019. 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Photosynthesis, Water Status and KPlants (Basel, Switzerland) · 2023
    Article
  4. Article
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

7 authors.

Feifei Wu1Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China.
Junhan Chen1Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China.
Jianli WangGrass and Science Institute of Heilongjiang Academy of Agricultural Sciences, Harbin, 150086 China.
Xianguo Wang1Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China.
Yan Lu1Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China.
Yaming Ning1Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China.
Yongxiang Li1Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variation and diversity are prerequisites for improvement of buffalograss breeding. To assess the within-population genetic diversity of buffalograss, seven morphological traits were evaluated to confirm the variations at the morphological level. The principal component analysis revealed that leaf length, leaf width and stolon branches had a significant contribution to the total variation. The first three principle components showed 72.55% variation. The DNA analysis performed using SRAP primers was used for deducing the diversity at the DNA level. A total of 125 bands were obtained with 8 selected SRAP primer pairs, of which 119 (95.2%) were polymorphic. The polymorphic information content ranged from 0.94 to 0.97 with a mean of 0.96; the marker index ranged from 10.34 to 18.43 with an average value of 14.28. The individuals were successfully assigned to two major groups according to sex in the PCoA and UPGMA dendrogram based on SRAP data, while the individuals could not be grouped based on morphological traits, and the two markers were not significantly correlated (

Indexed as

BuffalograssGenetic variationMorphological traitsPlant sexSRAP markers

Identifiers

PMID30800608
PMCPMC6385059

What OpenQuestion holds

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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.