Evidence map›Paper›PMID 39902057›Full record

ArticleFrontiers in plant science2023

Why does strawberry fruit weight distribution show positive skewness? A simulation model reveals the underlying processes of fruit production.

Zhihao Cao, Zhenfeng Jiang, Guanghui Liu, Yong Wang, Hongchun Qu

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. 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
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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

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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

5 authors.

Zhihao CaoCollege of Information Science and Engineering, Zaozhuang University, Zaozhuang, China.
Zhenfeng JiangCollege of Information Science and Engineering, Zaozhuang University, Zaozhuang, China.
Guanghui LiuPrecision Agriculture Devision, Neumann (Shandong) Institute of Internet of things Co., Ltd, Zaozhuang, China.
Yong WangCollege of Information Science and Engineering, Zaozhuang University, Zaozhuang, China.
Hongchun QuCollege of Information Science and Engineering, Zaozhuang University, Zaozhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is widely accepted that the weight distribution of plant fruits conforms to a standard normal distribution. However, some overlooked evidence suggests that some fruits, including strawberries, exhibit positive skewness in fruit weight distribution. This intriguing observation has received limited attention thus far. To shed light on this phenomenon, we conducted a comprehensive simulation study utilizing greenhouse-grown strawberries as our research subject. We modeled the entire process from bee pollination to pollen fertilization on the stigma and fruit growth. The experimental results demonstrated the reliability of the proposed simulation model and revealed that the positive skewness of the fruit weight distribution was the result of the multiplication of several complex intermediate variable distributions, which led to an approximately lognormal distribution. The simulation model and the derived conclusions presented in this paper offer a plausible explanation for the weight distribution patterns observed in strawberry production systems. Furthermore, research results have the potential to be applied to other berry plants that undergo similar bee pollination processes, thereby expanding our understanding of fruit weight distributions across different species.

Indexed as

bee pollinationfruit weight distributiongreenhouse strawberrylog-normal distributionsimulation modelling

Identifiers

PMID39902057
PMCPMC11790150

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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.