এই এপিসোড সম্বন্ধে
Feed efficiency remains one of the biggest gray areas and least understood aspects of livestock production. Yet understanding how much grass a cow consumes to produce a calf or a ewe to produce a lamb is critical not only to farmer and ranch profitability, but also to the sustainability of the industry. At 19 cents per kilogram to grow dry matter, inefficiency compounds rapidly. The difference between efficient and inefficient animals can determine whether operations generate profit or struggle to cover overhead costs.
Today we are joined by Andrew Freshwater, who has spent over 30 years using data to drive efficient breeding decisions across his sheep and cattle production enterprises in northeastern Victoria. Freshwater's family brought Angus cattle and Romney sheep to Australia in 1849, establishing a multi-generational commitment to livestock genetics.
Recent heifer trials demonstrated dramatic efficiency differences between groups run as contemporary cohorts. Through Zoetis genomic testing, Freshwater documented that genetically inferior heifers showed poor feed conversion efficiency and marginal annual returns, while superior genetics in the same management system generated excellent profitability. The lesson is clear: breeding animals is neither pure art nor pure science, but rather a data-informed approach that acknowledges biological complexity while leveraging technology—from genomics to artificial intelligence—to optimize resource utilization across diverse farming systems.
Beginning performance recording in 1989 as a teenager, Freshwater has accumulated over 80,000 sheep records representing approximately 3.5 million data points through long-term progeny testing programs. Rather than relying on static estimated breeding values, he has developed proprietary software that runs Monte Carlo simulations incorporating local climate data, grass types, and historical weather patterns to identify the most profitable animals for specific environmental conditions and management systems.
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