Evidence map›Paper›PMID 41415159›Full record

ArticlePlant phenomics (Washington, D.C.)2025

Limit and enhancing potential of canopy photosynthesis for greenhouse tomato: a model analysis in different climatic environments.

Xiaolong Ma, Jiayue Chang, Wuqiang Li, Rui Li, Dan Jing, Lili Zhang, Yong Liu, Jianming Li

Abstract read
In one paragraph

Article in Plant phenomics (Washington, D.C.), 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

8 authors.

Xiaolong MaCollege of Horticulture, Northwest A & F University, Yangling 712100, Shaanxi, China.
Jiayue ChangCollege of Horticulture, Northwest A & F University, Yangling 712100, Shaanxi, China.
Wuqiang LiYulin Agricultural Research Institute, Yulin 719000, Shaanxi, China.
Rui LiCollege of Horticulture, Northwest A & F University, Yangling 712100, Shaanxi, China.
Dan JingHanzhong Agricultural Research Institute, Hanzhong 723000, Shaanxi, China.
Lili ZhangYulin Agricultural Research Institute, Yulin 719000, Shaanxi, China.
Yong LiuHanzhong Agricultural Research Institute, Hanzhong 723000, Shaanxi, China.
Jianming LiCollege of Horticulture, Northwest A & F University, Yangling 712100, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canopy photosynthetic productivity is crucial for the formation of crop yields. Identifying limiting factors and adjustment targets for canopy photosynthesis in specific climates is important for yield increase. However, conducting relevant quantitative research remains challenging. In this study, two typical regions with distinct climatic characteristics were selected for a two-year trial of greenhouse tomatoes grown in different seasons. A three-dimensional canopy photosynthesis model was developed to quantify the factor contributions to the regional differences in accumulated canopy photosynthesis throughout the entire growing season (ACP), and to predict gains in ACP through three scenarios: leaf photosynthetic modifications (S1), plant layout adjustments (S2), and greenhouse film haze increase (S3). The results indicated that differences in ACP were mainly influenced by light environment (LE), leaf photosynthetic physiology (PP), and LE-PP interaction in spring, and canopy structure (CS), PP, LE, and LE-PP interaction in autumn. The predicted ACP enhancement showed as S1 ​> ​S2 ​> ​S3, with S3 showing a more limited effect. The light quantum efficiency under limiting light (

Indexed as

Canopy photosynthesis modelClimatic environmentPhotosynthetic enhancementPhotosynthetic limitation

Identifiers

PMID41415159
PMCPMC12709912

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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.