Using this digital twin, the researchers predicted that optimal fruit set was achieved with 60-75 per cent female flowers in the orchard; something that growers could achieve by select pruning of male flowers.
Most pollination benefit was gained from the first six-eight honey bees/1000 flowers, with diminishing returns thereafter.
The research suggested that fruiting success was more sensitive to variation in plant traits and the female-to-male flower ratio than bee density, provided this minimum density was achieved.
"This digital twin allows us to achieve something we couldn't have done before - simultaneous testing of the plant-based factors and the pollinator-based factors. It now provides us with a platform to test many more questions and develop recommendations for growers that can be confirmed in field trials," Dr David Pattemore, pollination scientist at Plant and Food Research and leader of the research team, said.
The prediction should give kiwifruit growers confidence that what they have been practicing is more or less on the right track.
The model provided strategies for improving crop management, such as selection of male and female cultivars which have their peak bloom at the same time, establishing the right balance of female to male flowers in the orchard and placing the sufficient numbers of hives to maintain more than six bees per 1000 flowers in the orchard to optimise yield."
The project was part of a wider programme to develop digital twins for pollination, using a range of different modelling approaches to investigate how different pollination factors interact and influence kiwifruit production.
Although initially designed to investigate honey bees pollinating kiwifruit vines, the models could be adapted to suit a wide range of crop species and pollinators.
The team was currently working to scale up the model to investigate more complex questions, such as the influence of diverse pollinator species and the effect of the spatial layout of orchards.
These digital twins could potentially be used as the foundation for the development of decision support tools for growers, to guide their orchard and pollination management to optimise yields.
The paper, titled Orchard layout and plant traits influence fruit yield more strongly than pollinator behaviour and density in a dioecious crop, has been published in PLOS.