5 resultados para The 7pm Project

em eResearch Archive - Queensland Department of Agriculture


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The Fitzroy Basin is the second largest catchment area in Australia covering 143,00 km² and is the largest catchment for the Great Barrier Reef lagoon (Karfs et al., 2009). The Great Barrier Reef is the largest reef system in the world; it covers an area of approximately 225,000 km² in the northern Queensland continental shelf. There are approximately 750 reefs that exist within 40 km of the Queensland Coast (Haynes et al., 2007). The prime determinant for the changes in water quality have been attributed to grazing, with beef production the largest single land use industry comprising 90% of the land area (Karfs et al., 2009). In response to the depletion of water quality in the reef, in 2003 a Reef Water Quality plan was developed by the Australian and Queensland governments. The plan targets as a priority sediment contributions from grazing cattle in high risk catchments (The State of Queensland and Commonwealth of Australia, 2003). The economic incentive strategy designed includes analysing the costs and benefits of best management practice that will lead to improved water quality (The State of Queensland and Commonwealth of Australia, 2003).

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The proposed project focuses on developing research-based indicators that growers and extensionists can use to assess soil health status (including key chemical, physical and biological variables), as well as extension approaches to communicate soil health.

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This project has shown the potential for cotton production in the region developed a range of tactics that can be deployed to minimise the impact of cloudy wet weather. These agronomic tactics have been published in a new book - NORpak - Cotton production and management guidelines for the Burdekin and NQ coastal dry tropics. This publication has been specifically targeted for local sugarcane producers who may stand to benefit by including cotton rotation crops into their current largely mono-culture production systems. This publication is available at http://www.cottoncrc.org.au/industry/Publications/Northern_Production.

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Understanding the host range for all of the fruit fly species within the South Pacific region is vital to establishing trade and quarantine protocols. This is important for the countries within the region and their trade partners. A significant aspect of the Australian Centre for International Agricultural Research (ACIAR) and Regional Fruit Fly Projects (RFFP) has been host fruit collecting which has provided information on fruit fly host records in the seven participating countries. This work is still continuing in all project countries at different intensities. In the Cook Islands, Fiji, Tonga and Western Samoa, fruit surveys have assumed a quarantine surveillance role, with a focus on high risk fruits, such as guava, mango, citrus, bananas, cucurbits and solanaceous fruits. In the Solomon Islands, Vanuatu and the Federated States of Micronesia (FSM), fruit surveys are still at the stage where host ranges are far from complete. By the end of the current project a more complete picture of the fruit fly hosts in these countries will have been gained. A brief summary of the data collected to date is as follows: 23 947 fruit samples collected to date; 2181 positive host fruit records; 31 fruit fly species reared from fruit; 12 species reared from commercial fruit. A commercial fruit is classed as an edible fruit with potential for trade at either a local or international level. This allows for the inclusion of endemic fruit species that have cultural significance as a food source. On the basis of these results, there are fruit fly species of major economic importance in the South Pacific region. However, considerably more fruit survey work is required in order to establish a detailed understanding of all the pest species.

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Two trials were done in this project. One was a continuation of work started under a previous GRDC/SRDC-funded activity, 'Strategies to improve the integration of legumes into cane based farming systems'. This trial aimed to assess the impact of trash and tillage management options and nematicide application on nematodes and crop performance. Methods and results are contained in the following publication: Halpin NV, Stirling GR, Rehbein WE, Quinn B, Jakins A, Ginns SP. The impact of trash and tillage management options and nematicide application on crop performance and plant-parasitic nematode populations in a sugarcane/peanut farming system. Proc. Aust. Soc. Sugar Cane Technol. 37, 192-203. Nematicide application in the plant crop significantly reduced total numbers of plant parasitic nematodes (PPN) but there was no impact on yield. Application of nematicide to the ratoon crop significantly reduced sugar yield. The study confirmed other work demonstrating that implementation of strategies like reduced tillage reduced populations of total PPN, suggesting that the soil was more suppressive to PPN in those treatments. The second trial, a variety trial, demonstrated the limited value of nematicide application in sugarcane farming systems. This study has highlighted that growers shouldn’t view nematicides as a ‘cure all’ for paddocks that have historically had high PPN numbers. Nematicides have high mammalian toxicity, have the potential to contaminate ground water (Kookana et al. 1995) and are costly. The cost of nematicide used in R1 was approx. $320 - $350/ha, adding $3.50/t of cane in a 100 t/ha crop. Also, our study demonstrated that a single nematicide treatment at the application rate registered for sugarcane is not very effective in reducing populations of nematode pests. There appears to be some levels of resistance to nematodes within the current suite of varieties available to the southern canelands. For example the soil in plots that were growing Q183 had 560% more root knot nematodes / 200mL soil compared to plots that grew Q245. The authors see great value in investment into a nematode screening program that could rate varieties into groups of susceptibility to both major sugarcane nematode pests. Such a rating could then be built into a decision support ‘tree’ or tool to better enable producers to select varieties on a paddock by paddock basis.