Evidence map›Paper›PMID 42589150›Full record

ArticleBiology2026

To Explore the Utility of Leaf Morphological, Color, and Chlorophyll Traits in Assessing Inter-Cultivar Variations Among Six Tea Plant Cultivars.

Pengliang Pan, Shibao Guo, Ruifei Wang, Zhou Zhou, Hongmin Liu, Hongzhong Shi, Gailing Zhang

Abstract read
In one paragraph

Article in Biology, 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.

Pengliang PanCollege of Agronomy, Xinyang Agriculture and Forestry University, Xinyang 464000, China.ORCID 0000-0001-7532-9415
Shibao GuoCollege of Agronomy, Xinyang Agriculture and Forestry University, Xinyang 464000, China.
Ruifei WangCollege of Agronomy, Xinyang Agriculture and Forestry University, Xinyang 464000, China.ORCID 0000-0003-0895-6114
Zhou ZhouCollege of Agronomy, Xinyang Agriculture and Forestry University, Xinyang 464000, China.
Hongmin LiuCollege of Agronomy, Xinyang Agriculture and Forestry University, Xinyang 464000, China.
Hongzhong ShiCollege of Agronomy, Xinyang Agriculture and Forestry University, Xinyang 464000, China.
Gailing ZhangCollege of Agronomy, Xinyang Agriculture and Forestry University, Xinyang 464000, China.

Funding

the Henan Province Natural Science Foundation Project 252300420217the Henan Provincial Key R&D Program 261111114300the Key Research and Development Program of Dabie Mountain Laboratory DMLP006
6 · The paper itself

Abstract

Reliable traits are needed for identification of tea (

Indexed as

Camellia sinensischlorophyll contentcultivar identificationdigital image analysisdiscriminant analysisgenetic similarityleaf morphology

Identifiers

PMID42589150
PMCPMC13465405

What OpenQuestion 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 OpenQuestion graph.