Evidence map›Paper›PMID 39911907›Full record

ArticleMethodsX2025

NIRS as an alternative method for table grapes Seedlessness sorting.

Chaorai Kanchanomai, Parichat Theanjumpol, Phonkrit Maniwara, Sila Kittiwachana, Sujitra Funsueb, Shintaroh Ohashi, Daruni Naphrom

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2025. 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.

Chaorai KanchanomaiGraduate School, Chiang Mai University, Chiang Mai 50200, Thailand.
Parichat TheanjumpolPostharvest Technology Research Center, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand.
Phonkrit ManiwaraPostharvest Technology Research Center, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand.
Sila KittiwachanaDepartment of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand.
Sujitra FunsuebDepartment of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand.
Shintaroh OhashiGraduate School of Science and Technology, Niigata University, 2-8050 Ikarashi, Niigata 950-2181, Japan.
Daruni NaphromDepartment of Plant and Soil Sciences, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seedlessness in table grapes is a desirable trait for consumers. Plant growth regulators (PGRs) have been extensively utilized to induce seedlessness. However, the efficacy of these PGRs is not uniformly successful. In addition, the seedlessness is difficult to detect by cutting and counting technique. The shortwave-near infrared spectroscopy (SW-NIRS), coupled with suitable chemometric analysis, is a non-destructive method for sorting and prediction of seedlessness grapes. The NIRS is higher efficiency than original technique in term of accuracy, measuring time and waste reduction.•The SW-NIR spectra of 240 grape berries were recorded. Each reflectance spectrum was acquired in the wavenumber of 3996-12,489 cm

Indexed as

ChemometricsNondestructive method for seedlessness sortingNon-destructive technologySeedlessnessSelf-organizing mapsTable grapes

Identifiers

PMID39911907
PMCPMC11794173

What OpenQuestion holds

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LicenceCC BY-NC
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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.