The collaborative dairy RD&E program for NSW

This study aims to enhance the selection of heat-tolerant dairy cattle by integrating artificial intelligence into the current model used to calculate the Australian Breeding Value for Heat Tolerance.

The study analysed almost 400,000 herd test records from more than 30,000 cows across 85 farms in New South Wales to assess the relationship between lactose output and milk yield, composition and quality, genetics, and environmental factors.

This study compared the effectiveness of heat stress detection methods, with a particular focus on HSP70, a protein in milk that has been identified as a potential non-invasive biomarker.

Dairy UP is validating potential markers and technologies (sensors, AI, etc.) to quantify production responses and recoveries to rumen microbial imbalances.

This study investigated changes in the fungal community and metabolite profiles in kikuyu under conditions designed to replicate those that lead to kikuyu poisoning.

This study aimed to predict short-term (daily) changes in the nutritional value of kikuyu pasture regrowth. Kikuyu is a widely used grass that grows rapidly but its nutritive value declines quickly.