Management of postharvest diseases in subtropical and tropical fruit

Development of disease management strategies for subtropical and tropical fruit based on natural resistance mechanisms.

Mango Fruit Genomics

Genomics approaches for marker assisted selection of improved mango fruit.

The cause, distribution and economic importance of fruit speckle of banana in north Queensland

Banana Fruit Speckle.

Alternaria Fruit Spot: New Directions

This project determined the identity of causal pathogens, epidemiology and disease cycle of Alternaria leaf blotch and fruit spot in Australian apples and provided a management strategy for both diseases for inclusion in the integrated fruit production manual.

Better Macadamia crop forecasting

Better Macadamia crop forecasting.

Alternative fruit fly management for market access for apples

Difficulty with control of Queensland fruit fly with four cultivars of apples on the Granite Belt, Qld. Warnings that the insecticides dimethoate & fenthion might be removed from the market for apples, had been current for several years. Dimethoate was widely used as a post harvest control measure as well as an in-field treatment. Fenthion also had and still has in-field usage. The project attempted to find a replacement for these control measures.

Improving avocado fruit quality and market potential by pre and post harvest factors

Improving avocado fruit quality and market potential by pre and post harvest factors.

Transgenic rootstocks for production of GM-free fruit

Development of regeneration and transformation methods for genetic improvement of rootstocks for mango, avocado and citrus.

Fruit fly host status testing of a new passionfruit cultivar

Fruit fly host status testing of a new passionfruit cultivar.

Development of commercial application of an avocado fruit robustness test

Fruit quality is one of the major factors limiting growth in avocado retail sales. Avocado growers are often unaware of their end-use fruit quality since quality problems only manifest upon fruit ripening and growers receive limited feedback from the supply chain. If growers were aware of their expected fruit quality they would be equipped to make better marketing decisions and if necessary to take remedial actions to improve their fruit quality. Avotest is being developed as a quick and easy method of determining expected end-use fruit quality before the start of the commercial fruit harvest. The test aims at distinguishing between blocks with robust fruit and those with less robust fruit. The test could also be used to predict the resulting fruit quality after the implementation of new farming practices.

Improved domestic profitability and export competitiveness of selected fruit value chains in the southern Philippines and Australia program

The goal of the Program is to contribute to economic growth in the Philippines through increased income and improved livelihoods of tropical fruit growers in southern Philippines. The purpose of the Program is to improve the smallholder and industry profitability and export competitiveness of selected tropical fruits industries in the southern Philippines. Fruit crops to be targeted are mango, papaya, durian and jackfruit. The primary audience for the outcomes of this Program are medium to large scale commercial fruit growers and farmers predominantly in the regions of Leyte (VIII), northern Mindanao/Cagayan de Oro (X) and southern Mindanao/Davao (XI).

Integrated crop management for brassica production

Early season beneficials in brassica crops.

Management of Phytophthora fruit rot and Pythium-related root rot of papaya

Management of Phytophthora fruit rot and Pythium-related root rot of papaya.

CRC40088 Pre-harvest for Fruit Fly

CRCNPB funded project aimed to develop improved pre-harvest control strategies for Queensland fruit fly based on autecology and behaviour.

Better Macadamia Crop Forecasting - Part 2

The continually expanding macadamia industry needs an accurate crop forecasting system to allow it to develop effective crop handling and marketing strategies, particularly when the industry faces recurring cycles of unsustainably high and low commodity prices. This project aims to provide the AMS with a robust, reliable predictive model of national crop volume within 10% of the actual crop by 1 April each year by factoring known seasonal, environmental, cultural, climatic, management and biological constraints, together with the existing AMS database which includes data on tree numbers, tree age, variety, location and previous season's production.