Influence of cyclonic winds on the performance of hardwood plantations in tropical north Queensland.

Severe Tropical Cyclone Yasi crossed the far north Queensland coast at Mission Beach on February 3rd, 2011, shattering the regions developing hardwood plantation industry. The cyclone’s path covered the primary areas of hardwood and softwood plantations in this region, causing widespread destruction. The extent of cyclone damage, coupled with the weak international economy has resulted in a severe decline in industry confidence for the future of timber plantations in this region. This report reviews the impacts of Severe TC Yasi on the performance of key hardwood plantation species in north Queensland. It summarises the influence of species, genetics, plantation design, management and age on plantation resilience. The information will contribute to a “Best Practice Guide for Timber Plantations in Cyclonic Areas” to be produced by Timber Queensland. This will assist companies with future plantation investment decisions in the tropical cyclone zone. 2 200 trees were assessed, including 44 species at 32 localities located from Daintree to Townsville. Data are also presented for a post-cyclone assessment of 5 900 African mahogany trees on four sites in the Ingham region. A report prepared for the Timber Queensland project: Best Practice Guide for Timber Plantations in Cyclonic Areas.

Influence of plant traits on production costs and profitability of strawberry in southeast Queensland.

In Queensland the subtropical strawberry ( Fragaria * ananassa) breeding program aims to combine traits into novel genotypes that increase production efficiency. The contribution of individual plant traits to cost and income under subtropical Queensland conditions was investigated, with the overall goal of improving the profitability of the industry through the release of new strawberry cultivars. The study involved specifying the production and marketing system using three cultivars of strawberry that are currently widely grown annually in southeast Queensland, developing methods to assess the economic impact of changes to the system, and identifying plant traits that influence outcomes from the system. From May through September P (price; $ punnet -1), V (monthly mass; tonne of fruit on the market) and M (calendar month; i.e. May=5) were found to be related ( r2=0.92) by the function (SE) P=4.741(0.469)-0.001630(0.0005) V-0.226(0.102) M using data from 2006 to 2010 for the Brisbane central market. Both income and cost elements in the gross margin were subject to sensitivity analysis. 'Harvesting' and 'Handling/Packing' 'Groups' of 'Activities' were the major contributors to variable costs (each >20%) in the gross margin analysis. Within the 'Harvesting Group', the 'Picking Activity' contributed most (>80%) with the trait 'display of fruit' having the greatest (33%) influence on the cost of the 'Picking Activity'. Within the 'Handling/Packing Group', the 'Packing Activity' contributed 50% of costs with the traits 'fruit shape', 'fruit size variation' and 'resistance to bruising' having the greatest (12-62%) influence on the cost of the 'Packing Activity'. Non-plant items (e.g. carton purchases) made up the other 50% of the costs within the 'Handling/Packing Group'. When any of the individual traits in the 'Harvesting' and 'Handling/Packing' groups were changed by one unit (on a 1-9 scale) the gross margin changed by up to 1%. Increasing yield increased the gross margin to a maximum (15% above present) at 1320 g plant -1 (94% above present). A 10% redistribution of total yield from September to May increased the gross margin by 23%. Increasing fruit size increased gross margin: a 75% increase in fruit size (to ~30 g) produced a 22% increase in the gross margin. The modified gross margin analysis developed in this study allowed simultaneous estimation of the gross margin for the producer and gross value of the industry. These parameters sometimes move in opposite directions.