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Breakfeed: Hill Country Futures - The TGM model

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Manage episode 355506655 series 3359916
Content provided by Beef + Lamb New Zealand. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Beef + Lamb New Zealand or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Breakfeeds are shorter podcasts from Beef + Lamb New Zealand

Professor Derrick Moot (Lincoln University) talks about the development of the thermal time-based (TGM) model within the Hill Country Futures Partnership programme and how is it going to help farmers with pasture planning. Hill Country Futures was a long-term $8.1m programme focused on future proofing the profitability, sustainability and wellbeing of New Zealand’s hill country farmers, their farm systems, the environment and rural communities. For more information: https://www.hillcountryfutures.co.nz/

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100 episodes

Artwork
iconShare
 
Manage episode 355506655 series 3359916
Content provided by Beef + Lamb New Zealand. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Beef + Lamb New Zealand or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Breakfeeds are shorter podcasts from Beef + Lamb New Zealand

Professor Derrick Moot (Lincoln University) talks about the development of the thermal time-based (TGM) model within the Hill Country Futures Partnership programme and how is it going to help farmers with pasture planning. Hill Country Futures was a long-term $8.1m programme focused on future proofing the profitability, sustainability and wellbeing of New Zealand’s hill country farmers, their farm systems, the environment and rural communities. For more information: https://www.hillcountryfutures.co.nz/

  continue reading

100 episodes

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