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.
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
Published 2023 in Frontiers in Plant Science
ABSTRACT
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- Publication year
2023
- Venue
Frontiers in Plant Science
- Publication date
2023-12-14
- Fields of study
Agricultural and Food Sciences, Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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