Queensland’s sheep flocks are slowly rebuilding after persistent dry seasons – but how do producers balance lambing rates with available feed over winter?
A free webinar organised by the Queensland Department of Agriculture and Fisheries (DAF) and delivered by benchmarking specialists Holmes Sackett has been planned to assist producers answer this question.
The webinar will be held on Wednesday 5 July 2017 from 1pm – 2pm.
DAF sheep and beef extension officer Andrea Wiles said many producers were finding higher scanning rates, and some higher twinning rates. However, with the generally low level of feed heading into winter, it could be leading up to the perfect storm.
“Given many producers are focusing on rebuilding their flocks and herds, a good lambing this season could have a huge impact on many businesses and low grain prices may make this possible,” Ms Wiles said.
“This webinar is aimed at giving you an insight into the cost of feeding to produce lambs and allow you to assess the cost-benefit.”
Holmes Sackett has been assisting agricultural enterprises benchmark across their business for 20 years. Farm benchmarking is a process that analyses the base productivity of the whole farm business, and individual enterprises within the farm.
Holmes Sackett are also interested in forming benchmarking groups for producers across Queensland. For those interested in learning more, contact firstname.lastname@example.org.
The webinar will be conducted by Holmes Sackett’s expert David Brown.
Once producers learn the basics of cost-benefit analysis, the theory can be applied to many scenarios, such as determining if it is economic to have an exclusion fence or implement a vaccination program,” Ms Wiles said.
The webinar is funded by the Queensland Government’s $17.5 million Drought and Climate Adaption Program (DCAP). This program is focused on improving drought preparedness and resilience for Queensland producers to benefit the long-term productivity of the agri-business sector and the Queensland economy.
Source: QLD Government