66 resultados para Agricultural mathematics


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This project ensures Queensland's involvement in Beef CRC Project 5.4 Accelerated Adoption through Sustainable Beef Profit Partnerships (BPP). The project researches, develops and achieves measurable improvements in business and industry productivity, profit and efficiency.

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Leading Sheep is a framework for supporting decision-making about technologies and practices to increase the profitability and productivity of the Queensland Sheep Businesses. Leading Sheep aims to achieve a high level of engagement with sheep businesses in Queensland to support their ongoing decision making processes about productivity and profitability.

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Northern Beef Scoping Study. To investigate alternate pathways for the northern Australia beef industry on a regional basis and assess their contribution to increased productivity and maintain condition.

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Making More from Sheep (MMfS) is a majority market extension program funded by Meat & Livestock Australia (MLA) and Australian Wool Innovation (AWI). Phase II of MMfS commenced in Queensland with a business planning process in October 2010 and delivery from November 2010 until November 2013. Mr Tony Hamilton of the Department of Agriculture, Fisheries and Forestry (DAFF) was initially the State Coordinator with responsibility for planning, project implementation, monitoring and evaluation. He was replaced by Ms Nicole Sallur from DAFF towards the end of the project. Delivery involving partner organisations provided best practice management information and tools to sheep producers with target Key Performance Indicators (KPI’s) exceeded across all three tiers of engagement category. 31 events were delivered to 551 participants. Satisfaction and value scores averaged across all events measured 8.7 and 8.2 respectively. Operational recommendations have been included in the report.

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BCC Benefits Composted Organics Farm Systems.

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Despite recent flooding in eastern Australia, the availability/quality of irrigation water is a long-term issue for Australian vegetable growers. To survive, producers are told to implement new technologies. However, there is often little practical information investigating which improvements could make a real difference, and keep production profitable. In an Horticulture Australia Ltd three year project, scientists from the Department of Employment, Economic Development and Innovation (QLD), CSIRO, Department of Industry and Investment (NSW), and the National Centre for Engineering in Agriculture, evaluated practical irrigation improvements. We conducted experiments and case studies on farms in southern Queensland and Riverina vegetable districts, with over 100 extension events, including irrigation workshops, conferences, and field days.

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Improving development outcomes for smallholder farmers through closer collaboration between landcare and other ACIAR projects.

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Development of an internet based spatial data delivery and reporting system for the Australian Cotton Industry.

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Jointly manage The Farm Program within the Cotton Catchment Communities CRC.

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To interogate spatial data sets including satellite imagery, EM surveys and ground samples to identify the efficiencies of current management practices within Australian cane regions.

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This project - Improved Sugarcane Farming Systems (BSS286) - was designed to build on the outcomes of phase 1 and 2 or the Sugar Yield Decline Joint Venture (STDJV). Thus its main focus was on issues that had been identified in the SYDJV that were not fully researched in the earlier programs and/or required further development.

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The project aims at improving the productivity and profitability of mung beans, soy beans and peanuts.

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Research, development and extension to achieve the implementation of Integrated Pest Management in grains-cotton broadacre farming systems.

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This paper describes the employment of two experienced graziers as consultants to apply and evaluate a model for calculating 'safe' long-term grazing capacities of individual properties. The model was based on ecological principles and entailed estimates of average annual forage grown (kglha) on the different land systems on each property and the calculation of the number of livestock (dry sheep equivalents, DSE) required to 'safely' utilise this forage. The grazier consultants applied and evaluated the 'safe' grazing capacity model on 20 properties of their choosing. For evaluation, model results were compared with; (a) the Department of Lands rated carrying capacities for those properties and (b) the grazing capacity assessed independently by the owners of those properties. For the 20 properties, the average 'safe' grazing capacity calculated by the model (21.0 DSE/kmZ) was 8% lighter than the average of the owner assessed capacities (22.7 DSE/kmZ), which in tum was 37% lighter than the average of the pre-1989 Department of Lands rated carrying capacity (31.0 DSE/kmZ). The grazing land management and administrative implications of these results and the role graziers played as consultants are discussed.

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Few tools are available to assist graziers, land administrators and financiers in making objective grazing capacity decisions on Australian rangelands, despite existing knowledge regarding stocking rate theory and the impact of stocking rates on land condition. To address this issue a model for objectively estimating 'safe' grazing capacities on individual grazing properties in south-west Queensland was developed. The method is based on 'safe' levels of utilisation (15%-20%) by domestic livestock of average annual forage grown for each land system on a property. Average annual forage grown (kglha) was calculated as the product of the rainfall use efficiency (kglhdmm) and average annual rainfall (mm) for a land system. This estimate included the impact of tree and shrub cover on forage production. The 'safe' levels of forage utilisation for south- west Queensland pastures were derived from the combined experience of (1) re-analysis of the results of grazing trials, (2) reaching a consensus on local knowledge and (3) examination of existing grazing practice on 'benchmark' grazing properties. We recognise the problems in defining, determining and using grazing capacity values, but consider that the model offers decision makers a tool that can be used to assess the grazing capacity of individual properties.