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Predictive diagnostics based on gene expression for rapid assessment of crop load programs and bitter pit disorder in apple fruit (AppleGenie)
Start date: Mar 1, 2014, End date: Feb 28, 2017 PROJECT  FINISHED 

AppleGenie aims at new scientific knowledge and technology for assessing the physiological status of apple orchards as a means to overcome two major burdens for apple growers and fresh chains: Ineffective thinning programs for crop load management; and Bitter pit post-harvesting disorder.The project will display a molecular diagnostics solution given as three different components: full protocols for diagnostics; off-the-shelf sampling kits for on-site preparation of samples prior to analysis; desktop compact laboratory for on-site analysis through the use of the kits.Apple Genie will give molecular diagnostics the momentum it needs in apple horticulture. A new business model based on molecular diagnostics services will be put in place through transnational collaboration to develop reliable diagnostics tools, with a primary focus on two badly needed solutions for the apple sector.
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