Evidence map›Paper›PMID 38931093›Full record

ArticlePlants (Basel, Switzerland)2024

Testing a Simulation Model for the Response of Tomato Fruit Quality Formation to Temperature and Light in Solar Greenhouses.

Yongdong Qin, Ao Gong, Xigang Liu, Nan Li, Tuo Ji, Jing Li, Fengjuan Yang

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. 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

7 authors.

Yongdong QinCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Ao GongCollege of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Xigang LiuCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Nan LiCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Tuo JiCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Jing LiCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.ORCID 0000-0003-1346-8422
Fengjuan YangCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.

Funding

Key Research and Development Program of Ningxia Hui Autonomouse Region 2023BCF01042Major Scientific Innovation Project of Shandong Province 2019JZZY010715National Key Research and Development Program 2023YFD2300702Shandong Provincial Key Research and Development Program 2022LZGC009
6 · The paper itself

Abstract

Temperature and light are the key factors affecting the formation of tomato fruit quality in greenhouse cultivation. However, there are few simulation models that examine the relationship between tomato fruit quality formation and temperature and light. In this study, a model was established that investigated the relationships between soluble sugar (SSC), organic acid content (OAC), and SSC/OAC and the cumulative product of thermal effectiveness and photosynthetically active radiation (TEP) during the fruit-ripening period in a solar greenhouse. The root mean square error (RMSE) values were calculated to compare the consistency between the simulated and measured values, and the RMSE values for SSC, OAC, and SSC/OAC were 0.09%, 0.14%, and 0.358, respectively. The combined weights of quality indicators were obtained using the analytic hierarchy process (AHP) and entropy weighting method, ranking as SSC > OAC > SSC/OAC > CI > lycopene > Vc > fruit firmness. The comprehensive fruit quality evaluation value was obtained using the TOPSIS method (Technique for Order Preference by Similarity to an Ideal Solution) and a simulation model between comprehensive tomato fruit quality and TEP was explored. This study could accurately simulate and quantify the accumulation of tomato fruit quality during fruit ripening in response to environmental conditions in a solar greenhouse.

Indexed as

fruit qualitylight and temperaturesimulation modelTEPtomato

Identifiers

PMID38931093
PMCPMC11207517

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.