Improving yield stability in UK blueberry production

产量不稳定对英国软果种植者产生负面影响，阻碍了准确的利润预测和最大化，导致英国供应波动。这个问题现在已经在工业界得到了广泛的认识，尽管造成不同季节产量显著变化的原因尚不清楚。本提案旨在确定产量限制的生理和生化过程，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检查，以便开发预测产量图和模型，为中短期产量优化提供框架。这些可用工具的知识将转移给种植者，并用于开发产量稳定的分子标记，从而为问题提供长期解决方案，从而在未来证明英国软果行业，特别是蓝莓作物应用于其他水果作物。aspbetraspberrygrowing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.