论文标题

基于仿真的温室草莓生长和授粉建模

Simulation-based Modelling of Growth and Pollination of Greenhouse Strawberry

论文作者

Cao, Zhihao, Qu, Hongchun

论文摘要

栽培的草莓fragaria ananassa duch。在中国的温室中广泛种植。它的生产在很大程度上取决于授粉服务。与人工授粉相比,蜜蜂授粉可以显着提高水果质量并节省大量的劳动力需求。多种因素,例如蜜蜂觅食行为,种植模式以及随时间和空间相互作用的温室环境的空间复杂性,是理解蜜蜂授粉动态的主要障碍。我们提出了一个基于空间解释的代理模拟模型,该模型允许用户探索包括蜜蜂觅食行为和草莓候物候条件在内的各种因素以及温室环境如何影响授粉效率和水果质量。模拟实验使我们能够比较不同条件下的授粉效率。特别是,根据灵敏度分析,讨论了蜜蜂授粉优势,最佳蜜蜂密度和蜜蜂蜂巢位置的原因。此外,模拟结果为草莓在温室中种植提供了一些见解。经过牢固验证的开源模型是用于草莓授粉研究的假设检验和理论开发的有用工具。

The cultivated strawberry Fragaria ananassa Duch. is widely planted in greenhouses in China. Its production heavily depends on pollination services. Compared with artificial pollination, bee pollination can significantly improve fruit quality and save considerable labor requirement. Multiple factors such as bee foraging behavior, planting pattern and the spatial complexity of the greenhouse environment interacting over time and space are major obstacles to understanding of bee pollination dynamics. We propose a spatially-explicit agent-based simulation model which allows users to explore how various factors including bee foraging behavior and strawberry phenology conditions as well as the greenhouse environment influence pollination efficiency and fruit quality. Simulation experiments allowed us to compare pollination efficiencies in different conditions. Especially, the cause of bee pollination advantage, optimal bee density and bee hive location were discussed based on sensitivity analysis. In addition, simulation results provide some insights for strawberry planting in a greenhouse. The firmly validated open-source model is a useful tool for hypothesis testing and theory development for strawberry pollination research.

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