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… and farmers work in partnership, underscored by transparency of market opportunities and what is required behind the farm gate in order to seize these opportunities. Staying ahead of trends We want to lead the red meat sector in … brought about by cutting edge food production technologies and global trends. What we’re doing We’re not just focusing on common goals to align the sector and ‘grow the pie’, we’re encouraging healthy competition and innovation to ‘take a …

… at the bottom. Our position is clear – we are not anti-forestry.  A lot of farmers are looking to integrate trees on farms and that’s a good thing. Trees absorb carbon dioxide and it’s good for the climate and the environment to plant … campaign, which prominently featured this issue ( visit the website ).  Media releases 8 August 2019: Wairoa case study report released 2 June 2020: Call for limits on exotic forestry offsets in ETS 17 June 2020: Reaction to emissions trading … change report reinforces need for intervention 4 December 2024: B+LNZ welcomes announcement on measures to curb farm sales to carbon farming 26 March 2025: B+LNZ’s advocacy on afforestation 10 April 2025: B+LNZ welcomes report …

… FITT was a B+LNZ initiative to improve farm profitability. It offered funding for groups of sheep and cattle farmers to trial new approaches or farming systems. … to address a local problem or opportunity.  Suitable projects  The project must have immediate and relevant application on-farm. The emphasis must be on developing practical systems to solve immediate farming problems or develop opportunities, which means any research …

… The eight farm classes … We provide accurate, independent information to help farmers, meat processors, consultants and other … to interactive tools. … What is "all classes"? The all classes distributions are weighted averages of individual farm class data to correctly portray a whole region or the New Zealand lambing percentage distribution. They help you to evaluate where your lambing percentage sits nationally, within your region and within a particular farm class. If there aren’t enough observations within a class and region you’ll need to compare your farm with its whole …