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A REVIEW OF CONTINGENCY PLANNING AND THE EMERGENCY RESPONSE TO THE INCURSION OF SUGARCANE SMUT IN QUEENSLAND
By TREVOR G WILLCOX; BARRY J CROFT; MOHAMED N SALLAM; PETER G ALLSOPP; BERNARD J MILFORD
SUGARCANE smut disease was first found in eastern Australia near Childers in
June 2006. This triggered a large-scale emergency response following
PLANTPLAN and was the first activation of the Government and Plant Industry
Cost Sharing Deed in Respect of Emergency Plant Pest Responses Deed (EPP
Deed). This paper reports industry feedback on the response and
recommendations to improve the sugar industry’s preparedness for incursions of
serious pests in the future. Recommendations were: the industry needs to review
the Sugar Industry Biosecurity Plan following the experience with smut;
industry people need training in what PLANTPLAN entails; contingency plans
and associated operational procedures for each pest need to be tested to
determine what is missing or impractical; a structured communications plan
should be part of each contingency plan; the communication plan must have a
model for stakeholder involvement agreed to by the industry; contingency plans
require a strategy for dealing with privacy issues; contingency plans should have
protocols for movement of machinery and equipment that are practical and
consistent with the biology of the pest; protocols must consider harvest and
transport arrangements; contingency plans should detail the level and methods of
surveillance recommended for various stages of the incursion and include
diagnostic procedures; the sugar industry needs to identify and develop
contingency plans for the major exotic threats and provide training for industry
people in diagnosis; cost sharing under the EPP Deed should be staged with a
guaranteed amount to cover the initial stages of an incursion for defined pests to
allow long-term response plans to be based on better information about the
incursion; test commercial cultivars for resistance to identified major threats
where the appropriate control measure is resistant cultivars and make quantities
of the most productive cultivars with resistance available to all districts.