Station to host beef genetics field day
Lochinver Station a test site for programme
Farmers will get an opportunity to see the groundbreaking Informing New Zealand Beef (INZB) genetics programme in action at a field day at Lochinver Station in the central North Island next month.
The event on Tuesday, March 5, will provide insights into the sevenyear INZB programme, which aims to improve profitability and enhance sustainability across the beef industry through the development and adoption of improved genetics.
Lochinver, on the Rangitāiki Plains near Taupō, is one of New Zealand’s largest farms and is a Beef Progeny Test site for the programme supported by Beef+Lamb New Zealand, the New Zealand Meat Board and the Ministry for Primary Industries’ Sustainable Food & Fibre Futures Fund.
The across-breed progeny test, which builds on previous progeny tests, uses Angus, Hereford and Simmental genetics to identify the performance of agreed-on traits linking with international beef and dairy
beef genetics.
It will provide the ability to demonstrate the differences and similarities between the breeds, along with the benefits of hybrid vigour, and to evaluate good bulls on the same basis.
The field day will include insights into the station’s operation with Steve Smith, business manager for Lochinver owner Rimanui Farms. There will also be an opportunity to view the cattle involved in the progeny test.
B+LNZ Genetics will provide updates on the programme, including results from the Beef Progeny Test data. Accredited structural assessment technician Bill Austin will provide a beef class structural assessment demonstration.
Ginny Dodunski, programme
manager with the B+LNZ-funded Wormwise project, will lead a session on parasite management, and Melissa Sowden, agribusiness technical support for Silver Fern Farms, will be sharing perspectives on carcass traits.
In addition to developing a beef genetic evaluation system to support a sustainable beef farming industry in New Zealand, the INZB programme is creating easy-to-use tools to enable data to be efficiently collected, managed, analysed and used by commercial farmers to make profitable decisions for their operation.