Evidence map›Paper›PMID 42122884›Full record

ArticlePlants (Basel, Switzerland)2026

Hyperspectral Imaging-Based Evaluation of Seasonal Growth Characteristics in Turfgrass.

Jae Gyeong Jung, Eun Seol Jeong, Jae Yeob Jeong, Jun Hyuck Yoon, Donghwan Shim, Eun Ji Bae

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jae Gyeong JungForest Biomaterials Research Center, National Institute of Forest Science, Jinju 52817, Republic of Korea.ORCID 0009-0005-8244-7141
Eun Seol JeongForest Biomaterials Research Center, National Institute of Forest Science, Jinju 52817, Republic of Korea.
Jae Yeob JeongForest Biomaterials Research Center, National Institute of Forest Science, Jinju 52817, Republic of Korea.ORCID 0000-0003-2647-0441
Jun Hyuck YoonForest Biomaterials Research Center, National Institute of Forest Science, Jinju 52817, Republic of Korea.ORCID 0000-0003-4467-777X
Donghwan ShimDepartment of Biological Sciences, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0000-0002-0223-595X
Eun Ji BaeForest Biomaterials Research Center, National Institute of Forest Science, Jinju 52817, Republic of Korea.ORCID 0000-0003-4597-8873

Funding

National Institute of Forestry Science FE0100-2025-03
6 · The paper itself

Abstract

Efficient phenotyping is essential for accelerating genetic improvement in turfgrass breeding, where manual measurements are labor-intensive. This study evaluated hyperspectral imaging (HSI) as a high-throughput tool for assessing

Indexed as

breeding populationhigh-throughput phenotypinghyperspectral imagingimage segmentationturfgrassvegetation indicesZoysia

Identifiers

PMID42122884
PMCPMC13165248

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.