Improving yield stability in UK blueberry production

产量不稳定对英国软果种植者造成负面影响，阻碍了准确的利润预测和最大化，导致英国供应的波动。这个问题现在已经在行业内得到了很好的认识，尽管季节间产量显著差异的原因尚不清楚。这一建议旨在确定产量限制的生理生化过程，从而确定产量波动表型的原因。将对种植环境和管理实践对产量的影响进行审查，以开发预测产量图&为中短期产量优化提供框架的模型。这些可用于辅助管理的工具的知识将被转移给种植者，并用于开发产量稳定性的分子标记，从而为问题的长期解决方案，从而为英国软果业，特别是蓝莓作物应用于其他水果作物提供未来验证。这是一个发展迅速的行业。

Yield instability negatively impacts UK soft fruit growers, preventing accurate profit prediction and maximisation, causing volatility of UK supply. The problem is now well recognised within industry, though the causes of significant season to season yield variation are unknown. This proposal aims to identify the physiological and biochemical processes underlying yield limitations, thereby identifying causes of the yield volatility phenotype. An examination of the impact of growing environment and management practices on yield will be undertaken to allow development of predictive yield maps & models that provide frameworks for yield optimisation in the short to medium term. This knowledge of availabletools to assist management will be transferred to growers and also used to develop molecular markers for yield stability allowing long-term solutions to the problem, thereby future proofing the UK soft fruit industry, particularly blueberry crops with application to other fruit crops. aspbetraspberrygrowing industry.