Evidence map›Paper›PMID 42802781›Full record

ArticlePeerJ2026

Exploring phenotypic diversity and constructing a floral core collection of

Yuyu Wang, Yuncheng Zhang, Yongqiang Sun, Kaiyun Wang, Xin Zhao, Jianhua Chen, Shengjun Dong

Abstract read
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuyu WangCollege of Forestry, Shenyang Agricultural University, Shenyang, China.
Yuncheng ZhangForestry and Grassland Bureau of Karaqin Left Wing Mongolian Autonomous County, Kazuo, China.
Yongqiang SunCollege of Forestry, Shenyang Agricultural University, Shenyang, China.
Kaiyun WangCollege of Forestry, Shenyang Agricultural University, Shenyang, China.
Xin ZhaoCollege of Forestry, Shenyang Agricultural University, Shenyang, China.
Jianhua ChenCollege of Forestry, Shenyang Agricultural University, Shenyang, China.
Shengjun DongCollege of Forestry, Shenyang Agricultural University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: We evaluated 28 floral traits of 205 sour jujube clones from 30 provenances across eight Chinese provinces. Phenotypic variation was assessed using nested ANOVA, coefficient of variation (CV), and Shannon-Wiener index (H'). Pearson correlation analysis was conducted to examine associations between floral traits and climatic and geographic factors. Principal component analysis (PCA) and hierarchical clustering were used to classify breeding groups, and a core collection was established Results: The results demonstrated significant diversity and variation in the floral organs of sour jujube. The average CV for quantitative and qualitative traits were 25.30% and 37.85%, respectively, while the mean H' for quantitative traits (1.68) was higher than that for qualitative traits (0.81). Variation among provenances was the primary source of phenotypic diversity, with the mean phenotypic differentiation coefficient for the quantitative traits of sour jujube reaching 71.32%. Size-related floral traits, including flower diameter, flower area, and flower disc diameter, were significantly correlated with temperature. These traits exhibited significant negative correlations with mean annual, January, and July temperatures (

Indexed as

FlowersZiziphusChinaCluster AnalysisGenetic VariationPhenotypePrincipal Component AnalysisCore collectionEnvironmental factorsFloral organ traitsPCAZiziphus jujuba var. spinosa

Identifiers

PMID42802781
PMCPMC13616194

What Socratic holds

Textmetadata
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 Socratic graph.