WEBVTT

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Welcome to the Bullvine Podcast, where we bring

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you the stories behind dairy's most influential

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figures. Today, we're celebrating a true pioneer

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who transformed how we evaluate and select dairy

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cattle. 80 years ago today, a future visionary

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was born who would help Canadian genetics capture

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of global Holstein semen sales, all while starting

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from a modest farm with just 22 cows. Murray

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Hunt's creation of the dollar difference formula

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fundamentally shifted breeding decisions from

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show ring appearance to economic efficiency.

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In this episode, we'll explore how one man's

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scientific approach and practical farm wisdom

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revolutionized dairy breeding worldwide. From

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his early days at Huntsdale Farm to his groundbreaking

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work at Holstein Canada, This is the Murray Hunt

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story, a birthday tribute to a living legend

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whose influence touches every modern dairy operation.

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Let's dive in. Welcome to the Deep Dive. Today

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we're cracking open the story behind some really

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monumental shifts in Canadian dairy genetics.

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And it's all in honor of Murray Hunt's 80th birthday,

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which is today, April 9th. 2025. So happy birthday

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to him. Yeah, quite a milestone. And what's really

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cool is our source material today. Right. It

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comes straight from his son. So we're getting

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this really unique personal perspective on his

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father's work. It makes it much more than just

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dates and facts, doesn't it? It's like getting

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the inside track on how things really unfolded.

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Totally. Because Murray Hunt, well, he essentially

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injected a huge dose of science right into how

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dairy farmers pick their cows, how they develop

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their herds. It's almost strange to think about

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a time before data was king, but he was like

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a major player in making that switch happen.

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And we've learned there were these two almost

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seismic events he was right in the middle of.

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Yes, the dollar difference formula. That's one.

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And the other was a complete top to bottom redesign

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of the classification systems. His son called

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them watershed moments. And I think that's spot

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on. Not just little tweaks. These were like fundamental

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changes. Like going from, I don't know, a map

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and compass to GPS overnight. Exactly. Game changers.

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But, you know, it wasn't just about the formulas

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and the systems, was it? No, not at all. He was

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also key in building bridges, connecting the

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research folks, the academics with the farmers

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out in the barn all across Canada. And that kind

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of collaboration, that link between the lab and

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the field. That's got a legacy that just keeps

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going. It's where the real progress happens.

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You need that translation, right? Brilliant ideas

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are one thing, but making them work practically,

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that's another skill entirely. And that seems

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to have been one of his real strengths. For sure.

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So for everyone listening in, maybe you're a

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dairy veteran who remembers these changes happening,

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or maybe you're newer to the industry. And curious

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how we got here understanding these shifts is.

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Well, it's pretty crucial. It definitely helps

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make sense of today's industry and maybe even

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gives us clues about what's coming next. Okay,

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so let's hit rewind. Back to the very beginning.

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Huntsdale Farm. Right. And the starting point

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is, well, quite something. April 1st, 1960. Murray's

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grandparents, Sterling and Irene, take over.

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And it wasn't exactly a thriving dairy operation.

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Not at all. A struggling 25 -acre market garden,

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actually, with just, what, two or three Ayrshire

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cows? Yeah, focused mainly on cream production,

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shipping only about 450 pounds of milk a day.

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And the facilities were... Pretty dated. Paints

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a picture, doesn't it? A completely different

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era of farming. And their drive initially wasn't

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about building some massive herd. It was simpler.

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Putting their kids through school. Exactly. His

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son mentioned Grandpa Sterling didn't have a

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ton of prospects at the local co -op feed mill.

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So taking on this farm was a, well. A big leap

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of faith. It kind of shows how innovation sometimes

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starts from necessity, not grand ambition, just

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wanting a better future. And boy, did they transform

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things quickly in those early 60s. Yeah, the

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timeline is impressive. Barn renovation in 61,

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new equipment, better fertilization. They weren't

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messing around. Sounds like they went all in

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on modernizing. And the family skills seemed

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to complement each other. Sterling knew his crops

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and nutrition. Irene handled milking, gardening,

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and was apparently the community connector. It

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really highlights how farming even then was never

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just one thing. It took a team effort. Definitely.

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And by 1965, just five years later, huge change.

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30 cows cranking out 2 ,000 pounds of milk daily,

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plus selling breeding stock to Canada and the

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U .S. That's serious progress. And 65 was also

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key because the Ontario Milk Marketing Board

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started up. Yeah. That allowed them to buy quota,

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which would have, you know, stabilized things

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financially. And get this, the payoff. By 1967,

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they owned the farm free and clear. Incredible.

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Just through productivity and sheer efficiency.

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Speaks volumes about their management. Sets the

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stage nicely for where young Murray comes in.

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Because he wasn't just doing chores. Even back

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in 1960, as a kid, he was already involved in

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the serious stuff. Animal recording, the breeding

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programs. Right. Laying the groundwork for his

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whole career, basically. And he was quick to

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adopt new things. Record of performance, the

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ROP system in 1962. Artificial insemination the

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same year. type classification in 63. These were

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big deals back then. You can just picture him,

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this young guy, meticulously tracking everything

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in the barn, notebook in hand. Yeah, planting

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the seeds for a data -driven approach, even if

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he didn't fully realize it then. And he was busy

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outside the barn, too. All sorts of 4 -H dairy,

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potatoes, tractors, public speaking, you name

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it. A well -rounded kid. Plus sports and clubs

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at school. But then there was that shoulder injury.

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Ah, the farm accident in 61. A recurring dislocation

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sounds painful and probably limiting for farm

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work. Definitely. And that injury turned out

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to be, well, a bit of a turning point. His mother,

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Irene, suggested college because of the shoulder,

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right? Yeah. It makes you wonder, doesn't it?

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If that hadn't happened, would things have gone

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differently? One of those sliding doors moments.

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It really shows how setbacks can sometimes redirect

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you onto an equally impactful path, maybe even

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more so. So off he went. September 65, University

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of Gulf, Ontario Agricultural College. Thinking

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veterinary medicine at first. But that shifted.

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By 67, he was into a Bachelor of Science in Ag,

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then onto a Master's. Putting the, quote, Huntsdale

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dream on hold, at least for a while. And specializing

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in animal science, genetics. Yeah. And importantly,

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computer applications. That mix was key. Definitely.

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And university wasn't just about academics. August

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67, he met Karen. Ah, yes. They married in 69.

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And he considers that his most significant legacy.

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It's great, isn't it? He said, K &M's legacy

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will be the great things that our families achieve.

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Puts all the career stuff in perspective. It

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absolutely does. A reminder that life's bigger

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than just work. even for someone who changed

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an industry. And he had mentors too, right? People

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who helped guide him early on. Yes, the Sagers,

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Mo Freeman, Roger Diamond, Doug Wingrove, and

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later names like George Clemens, Bob Lang, Harley

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Nicholson. Sounds like he soaked up knowledge

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wherever he could find it. Which is often a hallmark

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of people who achieve great things, that constant

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learning. Okay, fast forward a bit. 1970, the

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master's thesis. This is where things really

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start to have industry -wide whipples. His son

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describes it as basically the foundation for

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Canadian breeding strategies for decades. That's

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a huge statement. No kidding. And he used computer

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simulation, which was seriously cutting edge

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stuff back then, to make some pretty, well, radical

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recommendations. Like what? Like sampling four

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times as many young sires as they were doing

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and putting a much bigger emphasis on production

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traits. So moving away from just the visual,

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the confirmation towards what the animals could

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actually do makes sense economically. Totally.

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And then there was the all -young bull stud concept.

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I'll explain that one. Okay. So the idea was

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to collect and store semen from a whole bunch

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of young, unproven bulls, then wait and see which

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ones turned out to be genetically elite based

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on their daughter's performance. Ah, I see. So

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you could then use that stored semen from the

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proven top guys for future generations. Exactly.

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And his son points out how eerily similar that

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is to how genomic selection works today. The

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guy was thinking decades ahead. Way ahead of

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the curve. And you can understand his pride that

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Canadian AI organizations actually ran with that

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plan. Yeah, achieving 25 % of global Holstein

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semen sales with less than 2 % of the world's

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cows. That's punching way above your weight.

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Testament to the strategal. Absolutely. And sort

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of spinning out of that master's work came something

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else huge. The dollar difference formula. Right.

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This formula was brilliant in its simplicity,

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really. Calculate the value, the revenue a bull's

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daughters are likely to generate, then subtract

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the costs associated with that production. Giving

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you a bottom line dollar figure for choosing

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one bull over another is basically a total merit

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index. But, you know, decades before TMIs became

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standard. The TMI before TMI. Love that. It shifted

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the focus squarely onto profitability. And the

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OMAFRA folks, the government people, they got

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it. They supported it strongly. But not everyone

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was on board initially. No, the breed associations.

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Well, they were still very much focused on confirmation,

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how the cows looked, the type. There was definitely

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some resistance there. That classic tension between

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tradition and data -driven change happens everywhere.

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So after his master's, his first job was with

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Omafra's Dairy Herd Improvement Program, the

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DHI, managed a big team. And he mentioned being

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proud of getting DHI records officially accepted

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by Holstein Canada. Yeah, another step towards

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integrating data, making it central to decision

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making. Breaking down silos. That's crucial.

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You need reliable standardized data for any meaningful

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genetic evaluation. Then June 73, he moves over

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to Holstein Canada itself. And this is where

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he really encounters the prevailing mindset.

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Which is still very phenotype driven. Based on

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looks. Almost entirely, according to his son.

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They were largely ignoring the genetic evaluation

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methods that were emerging, including the milk

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and fat bull proofs coming from Ag Canada. Wow,

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so the tools were there, but the main breed organization

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wasn't really using them. Pretty much. Purebred

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breeders were still putting more faith in show

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ring results than in, you know, scientific proofs.

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Must have been frustrating for him. You can imagine.

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Bringing science to the table when the culture

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is still rooted in visual appraisal. That's a

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tough sell. But he was determined. He started

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collaborating with researchers, particularly

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E .B. Burnside at Gulf, who were pioneers in

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BLUP methods. Ah, best linear unbiased prediction.

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That was the breakthrough technology, really.

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Explain BLUP. Okay, well, essentially, BLUP allowed

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for much fairer genetic comparisons between animals.

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It could mathematically separate the effects

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of the environment, like feed, management, different

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farms, from the animal's actual inherent genetic

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merit. Much more accurate. Got it. So it levels

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the playing field for genetic evaluation. Precisely.

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And Murray's biggest contribution at Holstein

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Canada, arguably, was leading the charge to completely

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overhaul their type classification system using

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these BLUP methods. Right. Culminating in the

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BLUP animal model in the early 80s. That wasn't

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just a tweak. It was a revolution in how they

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evaluated type. Absolutely fundamental. Moving

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beyond just subjective scores based on appearance

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to incorporating objective genetic predictions.

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And the results. The program took off. Eightfold

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growth between 73 and 90. And it got adopted

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internationally. That speaks volumes about its

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success and value. Okay. Let's circle back specifically

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to those two big innovations. The dollar difference

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formula and the type classification overhaul.

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That dollar difference formula, even though it

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came from his masters, its impact was felt across

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North America. It really changed the conversation

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around bull selection. Yeah, it challenged that

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generations old focus on show ring aesthetics.

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You know, the traits that win ribbons versus

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the traits that actually... pay the bills. His

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formula quantified that. It put a dollar value

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on the revenue minus cost equation for a sire's

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daughters. The TMI before TMI. It made the economic

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case crystal clear. And while government folks

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saw the practical value, you still had that pushback

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from the breed associations clinging to high

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type. That tension was real. And the type classification

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rewrite, that was equally transformative. He

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didn't just slap. BLUP onto the old system. He

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led a total rewrite using his statistical training.

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Moving it from purely phenotype, what you see,

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to incorporating genetic potential in a statistically

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robust way. That was the key. And a big part

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of making it work was ensuring the classifiers

00:12:52.029 --> 00:12:54.549
were all on the same page, right? Uniform standards.

00:12:55.029 --> 00:12:57.370
Absolutely critical. You need consistency in

00:12:57.370 --> 00:13:00.289
scoring for the genetic evaluations, the bullproofs,

00:13:00.289 --> 00:13:03.429
to be accurate and reliable. So he had to get

00:13:03.429 --> 00:13:05.549
the Holstein board behind it, get the field staff

00:13:05.549 --> 00:13:07.970
out there promoting it, explaining the value.

00:13:08.129 --> 00:13:10.330
It was a change management challenge as much

00:13:10.330 --> 00:13:12.110
as a technical one. Which is often the case.

00:13:12.250 --> 00:13:15.450
Great ideas need great implementation and communication

00:13:15.450 --> 00:13:18.549
strategies to succeed. And again, that eight

00:13:18.549 --> 00:13:21.809
-fold growth shows they pulled it off. The industry

00:13:21.809 --> 00:13:24.149
eventually saw the benefits. It marked a really

00:13:24.149 --> 00:13:26.909
significant shift in thinking, accepting that

00:13:26.909 --> 00:13:29.009
science and data could lead to better breeding

00:13:29.009 --> 00:13:32.049
decisions than just the eye test alone. So his

00:13:32.049 --> 00:13:34.250
career really spans this fundamental change in

00:13:34.250 --> 00:13:37.009
breeding philosophy for Holsteins. From prioritizing

00:13:37.009 --> 00:13:39.990
show ring looks. To focusing much more on farm

00:13:39.990 --> 00:13:43.730
profitability, efficiency, sustainability, things

00:13:43.730 --> 00:13:46.090
that matter day to day. A maturing of the industry,

00:13:46.210 --> 00:13:48.730
really. Recognizing that long -term success isn't

00:13:48.730 --> 00:13:51.409
just about ribbons. You saw that initial reluctance

00:13:51.409 --> 00:13:54.070
in the early 70s, though. Hallstein Canada focused

00:13:54.070 --> 00:13:57.429
on phenotype, breed associations wary of the

00:13:57.429 --> 00:14:00.210
dollar difference guide, breeders ignoring Ag

00:14:00.210 --> 00:14:03.610
Canada proofs. Inertia is powerful. Tradition,

00:14:03.629 --> 00:14:07.629
prestige tied to the show ring. It takes time

00:14:07.629 --> 00:14:10.230
and strong evidence to shift that kind of deeply

00:14:10.230 --> 00:14:13.250
ingrained focus. And he noted that even the BLUP

00:14:13.250 --> 00:14:15.649
production indexes took longer to catch on with

00:14:15.649 --> 00:14:18.090
individual breeders compared to the AI organizations.

00:14:18.590 --> 00:14:21.070
That makes sense. AI units are purely focused

00:14:21.070 --> 00:14:24.009
on delivering genetic progress efficiently. They

00:14:24.009 --> 00:14:27.090
saw the power of BLUP immediately. Breeders might

00:14:27.090 --> 00:14:29.929
have had other factors influencing their decisions.

00:14:30.169 --> 00:14:32.909
But the tide did turn. Better data, more accurate

00:14:32.909 --> 00:14:35.450
evaluations, plus a new generation coming back

00:14:35.450 --> 00:14:37.789
to the farms in the 70s may be more open to the

00:14:37.789 --> 00:14:40.350
science. That generational shift is often a catalyst

00:14:40.350 --> 00:14:42.269
for adopting new technologies and approaches.

00:14:42.549 --> 00:14:44.669
And you absolutely cannot talk about this transformation

00:14:44.669 --> 00:14:46.769
without talking about artificial insemination.

00:14:46.850 --> 00:14:49.570
No, AI was the engine driving a lot of this genetic

00:14:49.570 --> 00:14:52.690
game. As Murray himself said, 90 % of genetic

00:14:52.690 --> 00:14:55.129
gain in a population comes from the sires used.

00:14:55.389 --> 00:14:58.169
That just nails it. It highlights the immense

00:14:58.169 --> 00:15:01.309
leverage AI provides. Use the best bulls widely,

00:15:01.490 --> 00:15:03.850
and you accelerate progress dramatically. And

00:15:03.850 --> 00:15:05.590
looking back at his master's recommendations,

00:15:06.049 --> 00:15:08.889
sample more young bulls, focus on production,

00:15:08.990 --> 00:15:11.830
and seeing Canada capture 25 % of the global

00:15:11.830 --> 00:15:14.549
semen market. It's powerful validation. It shows

00:15:14.549 --> 00:15:16.769
those early science -based strategies really

00:15:16.769 --> 00:15:19.529
worked, putting Canada on the map for dairy genetics.

00:15:20.029 --> 00:15:22.149
Okay, let's shift focus a bit from the what to

00:15:22.149 --> 00:15:25.230
the how. His leadership style. His son stresses

00:15:25.230 --> 00:15:27.850
he wasn't a limelight seeker, but very collaborative.

00:15:28.149 --> 00:15:29.870
Which is often the most effective kind of leadership,

00:15:29.990 --> 00:15:32.289
isn't it? Building consensus, working together,

00:15:32.470 --> 00:15:35.360
even without being the loudest voice. especially

00:15:35.360 --> 00:15:37.700
in a diverse industry. And he managed to get

00:15:37.700 --> 00:15:40.399
competitors, the AI organizations, to cooperate

00:15:40.399 --> 00:15:42.980
on research and national initiatives through

00:15:42.980 --> 00:15:45.259
the Canadian Association of Animal Breeders.

00:15:45.399 --> 00:15:47.720
That takes skill. It shows he can help people

00:15:47.720 --> 00:15:50.019
see the bigger picture, that some things benefit

00:15:50.019 --> 00:15:52.220
the whole industry, even if you're competing

00:15:52.220 --> 00:15:54.500
day to day. His mentorship philosophy is interesting

00:15:54.500 --> 00:15:56.620
too, very forward -looking. Yeah, he believed

00:15:56.620 --> 00:15:59.200
a mentor's job isn't just to get mentees to repeat

00:15:59.200 --> 00:16:02.019
the past, especially if the past no longer applies.

00:16:02.220 --> 00:16:04.580
It's about preparing them for the future. That

00:16:04.580 --> 00:16:07.580
quote is great. A mentor is not an honest mentor

00:16:07.580 --> 00:16:10.159
if all they do is encourage mentees to repeat

00:16:10.159 --> 00:16:13.679
the past that no longer applies. Powerful stuff.

00:16:14.159 --> 00:16:18.220
Requires constant adaptation. Absolutely. Visioning

00:16:18.220 --> 00:16:20.240
the future, he noted, can make people uncomfortable.

00:16:21.230 --> 00:16:23.870
But it's necessary. And he had a process for

00:16:23.870 --> 00:16:26.769
tackling big industry problems. Methodical, it

00:16:26.769 --> 00:16:29.389
sounds like. Define the issue clearly. Get all

00:16:29.389 --> 00:16:31.590
the willing players involved in an independent

00:16:31.590 --> 00:16:34.950
task force. Bring in visionaries. Circulate recommendations.

00:16:35.009 --> 00:16:37.929
Get feedback. Then bring everyone together for

00:16:37.929 --> 00:16:40.470
buy -in. It's a solid blueprint for driving change

00:16:40.470 --> 00:16:43.250
in a complex system. Inclusive and structured.

00:16:43.570 --> 00:16:46.179
And he put it into practice. leading the move

00:16:46.179 --> 00:16:49.000
to privatize milk recording and genetic evaluations

00:16:49.000 --> 00:16:52.700
when government support shifted. That took foresight

00:16:52.700 --> 00:16:54.840
and initiative, ensuring those vital services

00:16:54.840 --> 00:16:57.559
continued. Didn't just wait for things to fall

00:16:57.559 --> 00:17:01.100
apart. Proactive leadership. And helping establish

00:17:01.100 --> 00:17:03.899
the Genetic Evaluation Board, supporting the

00:17:03.899 --> 00:17:05.900
Center for Genetic Improvement of Livestock.

00:17:06.500 --> 00:17:09.339
More building blocks for the future. Absolutely.

00:17:09.420 --> 00:17:11.920
Building the infrastructure needed for ongoing

00:17:11.920 --> 00:17:14.680
progress. So now we look ahead. It's his 80th

00:17:14.680 --> 00:17:17.460
birthday today, but he's clearly still thinking

00:17:17.460 --> 00:17:20.039
about the future of dairy. And his son shares

00:17:20.039 --> 00:17:22.920
that ultimately his greatest pride, his main

00:17:22.920 --> 00:17:27.000
legacy, is his family. That quote again. K &M's

00:17:27.000 --> 00:17:29.019
legacy will be the great things that our families

00:17:29.019 --> 00:17:32.160
achieve. Really grounding. Puts everything in

00:17:32.160 --> 00:17:34.660
perspective. But he still has strong views on

00:17:34.660 --> 00:17:36.759
the industry's direction. He's got some concerns.

00:17:36.940 --> 00:17:39.880
Like the overuse of TMIs. Exactly. Worries that

00:17:39.880 --> 00:17:42.640
focusing too heavily on those total merit indexes,

00:17:42.640 --> 00:17:46.160
TPI, LPI, net merit, pro way, might come at the

00:17:46.160 --> 00:17:48.619
expense of other crucial traits. Like health,

00:17:48.680 --> 00:17:51.480
mobility, fertility. The functional traits that

00:17:51.480 --> 00:17:54.359
keep cows healthy and productive long term. Yeah,

00:17:54.400 --> 00:17:56.759
he thinks that narrow focus might hinder developing

00:17:56.759 --> 00:17:58.660
the kind of cows we'll actually need in, say,

00:17:58.720 --> 00:18:01.920
2050. More resilient animals. It's a valid concern.

00:18:02.380 --> 00:18:05.039
Optimizing for one index can sometimes lead to

00:18:05.039 --> 00:18:07.599
unintended consequences in other areas. We need

00:18:07.599 --> 00:18:09.960
a balanced approach. He's a big advocate for

00:18:09.960 --> 00:18:12.799
breeding programs that actively incorporate adaptability

00:18:12.799 --> 00:18:15.839
and disease resistance. His son asked, and his

00:18:15.839 --> 00:18:19.900
answer was emphatic. For sure, yes. Cannot happen

00:18:19.900 --> 00:18:22.900
soon enough. That makes perfect sense. With climate

00:18:22.900 --> 00:18:25.920
change, evolving disease pressures, Cows that

00:18:25.920 --> 00:18:28.359
can cope, that are naturally more robust, are

00:18:28.359 --> 00:18:30.880
going to be increasingly valuable. He also throws

00:18:30.880 --> 00:18:32.920
out a really interesting, maybe even provocative

00:18:32.920 --> 00:18:35.599
idea about genetic diversity. Oh, what's his

00:18:35.599 --> 00:18:38.059
take? He suggests maybe we're too focused on

00:18:38.059 --> 00:18:40.920
just inbreeding common ancestors. He thinks we

00:18:40.920 --> 00:18:42.839
need more information on the specific genetic

00:18:42.839 --> 00:18:46.000
combinations that actually cause problems. So

00:18:46.000 --> 00:18:48.940
less about how related parents are, more about

00:18:48.940 --> 00:18:51.799
identifying specific problematic gene interactions

00:18:51.799 --> 00:18:54.700
in the offspring. Kind of. His quote was, we

00:18:54.700 --> 00:18:56.759
need more information on the genetic makeups

00:18:56.759 --> 00:18:59.220
that cause problems and not just on common ancestry.

00:18:59.480 --> 00:19:02.180
The commonality of future offspring, not about

00:19:02.180 --> 00:19:04.859
common ancestors. It's a different way to frame

00:19:04.859 --> 00:19:07.799
the diversity issue. That's fascinating. It implies

00:19:07.799 --> 00:19:10.160
a need for deeper genomic understanding beyond

00:19:10.160 --> 00:19:12.599
just pedigree tracking. Very forward thinking.

00:19:12.819 --> 00:19:15.569
He also looks at the industry structure. acknowledges

00:19:15.569 --> 00:19:17.630
the reality of consolidation, especially in the

00:19:17.630 --> 00:19:20.869
U .S., with huge herds. Yes, 75 % U .S. milk

00:19:20.869 --> 00:19:24.289
coming from herds of 1 ,000 -plus cows. That's

00:19:24.289 --> 00:19:26.769
a staggering statistic. And he believes smaller

00:19:26.769 --> 00:19:29.470
breeders, maybe those under 100 cows, need to

00:19:29.470 --> 00:19:32.690
find a novel, unique specialty to thrive in that

00:19:32.690 --> 00:19:35.589
environment. Niche markets, specialized genetics,

00:19:35.890 --> 00:19:38.910
finding a way to differentiate beyond just scale

00:19:38.910 --> 00:19:41.490
makes sense. And he's pretty blunt about the

00:19:41.490 --> 00:19:43.799
future drivers. Future milk production, like

00:19:43.799 --> 00:19:46.180
it or not, depends on technology. Scale is a

00:19:46.180 --> 00:19:49.019
must. Automation. Time waits for no one. A stark

00:19:49.019 --> 00:19:51.680
but likely realistic assessment. Efficiency and

00:19:51.680 --> 00:19:54.240
tech adoption are key. Finally, he calls for

00:19:54.240 --> 00:19:56.160
a more integrated approach to solving future

00:19:56.160 --> 00:19:58.779
problems. Less working in silos. Criticizing

00:19:58.779 --> 00:20:01.279
too much individual silo work approached and

00:20:01.279 --> 00:20:04.140
pushing for a wide -scoped approach. Bringing

00:20:04.140 --> 00:20:06.400
together different disciplines. Yeah, recognizing

00:20:06.400 --> 00:20:08.960
that the challenges are complex and need expertise

00:20:08.960 --> 00:20:12.170
from genetics, nutrition, health. engineering,

00:20:12.329 --> 00:20:15.589
economics, all working together. A holistic view,

00:20:15.730 --> 00:20:18.970
which seems fitting given his career. So wrapping

00:20:18.970 --> 00:20:23.390
up this deep dive on Murray Hunt at 80, his legacy

00:20:23.390 --> 00:20:25.750
is just this incredible mix, isn't it? Scientific

00:20:25.750 --> 00:20:29.289
rigor, practical application, visionary leadership.

00:20:29.950 --> 00:20:33.049
Absolutely. The dollar difference formula, modernizing

00:20:33.049 --> 00:20:35.450
type classification, these weren't just academic

00:20:35.450 --> 00:20:38.529
exercises. They fundamentally changed how farmers

00:20:38.529 --> 00:20:41.250
made decisions and built the success of Canadian

00:20:41.250 --> 00:20:43.630
Holstein genetics globally. And achieved through

00:20:43.630 --> 00:20:45.950
collaboration, not just top -down directives.

00:20:45.950 --> 00:20:48.289
Getting people to work together. Plus that constant

00:20:48.289 --> 00:20:50.960
challenge to think ahead. to adapt, not just

00:20:50.960 --> 00:20:53.299
repeating the past, like his view on mentorship.

00:20:53.680 --> 00:20:55.859
A mentor is not an honest mentor if all they

00:20:55.859 --> 00:20:58.160
do is encourage mentees to repeat the past that

00:20:58.160 --> 00:21:00.400
no longer applies. Worth repeating. Definitely.

00:21:00.579 --> 00:21:02.980
And balancing all that professional drive with

00:21:02.980 --> 00:21:05.559
a clear focus on his family as his ultimate priority.

00:21:05.759 --> 00:21:08.460
A really well -rounded impact. So as we reflect

00:21:08.460 --> 00:21:11.259
on Murray Hunt's forward look, his focus on adaptability,

00:21:11.500 --> 00:21:15.519
disease resistance, a holistic view, it leaves

00:21:15.519 --> 00:21:18.240
us with a question for you, our listeners. How

00:21:18.240 --> 00:21:20.119
are you thinking about these broader factors

00:21:20.119 --> 00:21:22.539
beyond the immediate production numbers? How

00:21:22.539 --> 00:21:24.500
are you building resilience and sustainability

00:21:24.500 --> 00:21:27.839
into your own operations for the dairy landscape

00:21:27.839 --> 00:21:29.880
of tomorrow? Definitely something to chew on.

00:21:29.980 --> 00:21:32.740
Happy 80th birthday, Murray Hunt. And thanks,

00:21:32.799 --> 00:21:34.819
everyone, for joining us on this deep dive. As

00:21:34.819 --> 00:21:37.380
we conclude our tribute to Murray Hunt on his

00:21:37.380 --> 00:21:40.680
80th birthday, we're reminded that true innovation

00:21:40.680 --> 00:21:43.519
often comes from those who can bridge scientific

00:21:43.519 --> 00:21:47.619
precision with practical farming knowledge. Murray's

00:21:47.619 --> 00:21:50.500
legacy lives on, not just in the evaluation systems

00:21:50.500 --> 00:21:53.180
that determine breeding decisions worldwide,

00:21:53.440 --> 00:21:56.579
but in the mentorship he provided to countless

00:21:56.579 --> 00:21:59.180
industry professionals. His forward -thinking

00:21:59.180 --> 00:22:02.119
approach, balancing production goals with animal

00:22:02.119 --> 00:22:05.160
health and functionality, offers valuable guidance

00:22:05.160 --> 00:22:08.940
as we face dairy's future challenges. Thank you

00:22:08.940 --> 00:22:10.900
for joining us today on the Bullvine Podcast.

00:22:11.299 --> 00:22:13.779
If you're working with dairy genetics, remember

00:22:13.779 --> 00:22:16.819
Murray's wisdom. that a mentor is not an honest

00:22:16.819 --> 00:22:19.839
mentor if all they do is encourage mentees to

00:22:19.839 --> 00:22:23.259
repeat the past that no longer applies. Until

00:22:23.259 --> 00:22:26.339
next time, keep reading for better tomorrows.
