Trev Integrates with LIC MINDA
Farm software outfit Trev has released new integrations with LIC, giving farmers a more connected view of animal performance across the season and turning routine data capture into actionable farm intelligence.
717054 Rissington C200 was one of the top 5 all-round sires as reported in the September 2019 interim report of B+LNZ Genetics Dairy Beef Progeny Test.
Making quality beef genetics easier for dairy farmers to access is the aim of a new industry partnership.
Beef + Lamb New Zealand (B+LNZ) Genetics and LIC are collaborating to help fulfil growing demand for beef genetics suitable for New Zealand dairy cows.
The collaboration has seen the creation of the B+LNZ Genetics Dairy Beef Progeny Test, devised to identify quality beef bulls and help enable their widespread use for dairy beef.
Beef breeders can nominate their best bulls for consideration for the programme, with successful bulls then becoming part of the progeny test scheme.
B+LNZ Genetics and LIC says this will offer breeders a potential path to the dairy market for the first time.B+LNZ Genetics’ general manager, Dan Brier says he is excited about the collaboration and says dairy farmers are an important and valued part of B+LNZ.LIC chief executive, Wayne McNee says the collaboration helps add value to all stages of the dairy beef market.
“Beef sales are likely to increase significantly over the next decade and it is important LIC aligns itself with industry leaders such as B+LNZ Genetics and beef breeders to ensure the best beef bulls are available for the domestic and international dairy markets.
“We know farmers are focused more than ever on doing their bit to help reduce the number of bobby calves leaving their properties and the addition of this progeny test will further help with this objective.”
Nominations close 14 August with successful farmers notified 28 August.
Farm software outfit Trev has released new integrations with LIC, giving farmers a more connected view of animal performance across the season and turning routine data capture into actionable farm intelligence.
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