WEBVTT

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Creeping across the pasture land. Got dirt on

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the boots and a working hand. From the milk house

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home to the auction call. These are the folks

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standing strong and tall. Yeah, this is... Welcome

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back to The Deep Dive, brought to you by The

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Bullvine, where we cut through dairy industry

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noise to get you the insight that actually matter

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for your operation. And today we're peeling back

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the layers on a story that is, it's really required

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reading for anyone managing genetics in the modern

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era. I agree. This feature piece challenges everything

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the industry tells us about index rankings and,

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you know. price tags, it's got explosive history,

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current warnings, and a massive paradox right

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at its heart. It truly does. We are deep diving

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into the legacy of Carol Prelude M. Toto, the

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Italian specialist bull. When he hit the UK market

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in, what, 1998? He was a total anomaly. Oh, completely.

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He was priced at a painful 40 pounds per straw,

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which was, I mean, quite literally four times

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the average commercial volume bull at the time.

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Yeah. And to add insult to injury, his paper

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proof showed moderate, even mediocre production.

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And the irony here is just stunning. And it's

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really the core thesis of this deep dive. A bull

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that looked like a financial mistake on paper

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expensive, low ranked for milk yield became the

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genetic cornerstone of billion dollar dynasties.

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He arguably saved the structural integrity of

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the Holstein breed in Europe and well, beyond.

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We're going to trace that journey. And critically,

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we're going to show you how. That exact history,

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that pattern of chasing flashy production while

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ignoring durability, it's repeating itself right

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now with genomic selection. Okay, let's unpack

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this and set the stage for why this matters to

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the farmer listening today. We have to rewind

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the clock a bit. We do. Back to the late 1990s.

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This was the peak era of the production at all

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costs mentality. Right. An echo chamber created

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by decades of relentless focus on the bulk tank.

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Volume, volume, volume. And the stakes for understanding

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this history are, they're immense. We talk to

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farm consultants constantly. They show us the

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hard data that separates the survivors from those

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who failed. Think back to the 2008 economic crisis.

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Input costs soared, milk prices tanked, and that

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volatility just crushed operations. I remember

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those times it was absolutely brutal It was.

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And the data shows a really clear pattern. Farms

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that bought the cheap, high production, high

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TPI bulls in the late 90s, the ones that gave

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you those spectacular first lactation numbers.

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Yeah, the ones that look great on paper. Exactly.

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Those were often the ones who couldn't weather

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the storm. Their cows just broke down. They fell

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apart. Replacement rates skyrocketed right when

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money was tightest. They were hemorrhaging cash.

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So the high initial yield was essentially a trap.

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It was a trap. Exactly. But the farms that...

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Invested in Mentodo's survival genetics, paying

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that premium for durability, for health and for,

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you know, a third or fourth lactation. You were

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the one still standing. They were still profitable.

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They were still milking these quiet fifth and

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sixth lactation cows that were just doing their

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job without a vet bill. That investment decision

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25 years ago is often the difference between

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still farming today and seeing your fields become

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suburban development. The fundamental, often

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overlooked lesson here is that longevity is the

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only true sustainable engine of farm profitability.

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And before we dive into all the details, we have

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to tackle the most controversial aspect head

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on, because it's a bit of a mind bender. It is.

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If you look at Bemtodo's current genetic proofs.

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Let's say in the August 2025 UK evaluations,

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the numbers look like a catastrophe. He shows

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negative production traits like minus 18 kilograms

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of milk and a profitable lifetime index, a PLI,

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of minus 112 pounds. That is the ultimate paradox.

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On paper, if you filtered your catalog today

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for anything above a neutral PLI, you would skip

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him entirely. An AI technician pitching him based

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on those raw numbers would be, well, left off

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the farm. But we are arguing that the negative

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proof is actually a measure of his success, not

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his failure. Precisely. His genetics were so

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successful at correcting those Bell -era frailties

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that they lifted the structural and health baseline

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of the entire Holstein population. We're going

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to spend time later explaining the base change

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phenomenon, but think of it this way. He was

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so good at fixing things that the fix became

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the new normal. And this leads to our ultimate

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warning. The bull that's topping all the genomic

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lists today, the one that looks spectacular on

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paper, might just be tomorrow's financial disaster

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for your operation. Just like the high production.

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Low longevity Bell daughters were back in the

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late 1990s. We have to learn from this history

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or we are absolutely doomed to repeat it. OK,

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let's start the investigation by defining the

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colossal problem that Makoto was engineered to

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solve. And that means we have to talk about the

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Bell legacy. Yes. Carlin M. Ivanhoe Bell. He

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arrived on the scene in the late 80s and early

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90s. And for lack of a better phrase, he just

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revolutionized. the bulk tank. He was the definition

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of production, putting an average of, what, 1

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,700 pounds above the herd average into the tanks?

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He was a superstar, no question. Farmers were

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ecstatic because they could immediately see the

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return. But the phrase, no such thing as a free

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lunch, was never more true than with Bell. Right.

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That immense production came at an immense physiological

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cost, something the farmer only discovered, you

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know, a year or two into the daughter's productive

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lives. The sources detail what happened next.

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The Bell paradox was essentially, production

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wrapped in tissue paper. Those genetics drove

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structural frailty across the board. And we're

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not talking about small things. We're talking

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about poorly attached udders that hung low, increasing

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the risk of injury and infection. We're talking

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about cows prone to... devastating metabolic

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disorders, specifically milk fever and ketosis,

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because they just couldn't partition the energy

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required for that spectacular output. And crucially,

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weak legs that simply could not sustain the load

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and the relentless production pace. Producers

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who managed those bell daughters during that

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era described the barn floor as a constant battlefield.

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I mean, that sounds exhausting. It was a management

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nightmare. You had cows everywhere standing with

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splayed rear legs trying to balance these broken

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down udders. You had chronic lameness issues

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starting in the second lactation, and they were

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perpetually struggling to breed back. So the

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replacement rate must have been through the roof.

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Unsustainable. Research run by major universities

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documented that bell daughters live significantly

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shorter productive lives, often two to three

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years less than cows with more balanced genetics.

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Wait, I want to drill down on the economics of

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that. If you're getting, say, 1 ,700 pounds of

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extra milk in the first lactation, but you lose

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two full lactations of productive life, where

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does the balance sheet actually land? That's

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the million -dollar question, because that's

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where the industry got fooled. The spectacular

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first lactation production gains were almost

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entirely negated or even reversed by the high

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replacement costs and the vet bills. Right. The

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estimated cost to rear a heifer to first calving

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in the late 90s was substantial. It easily offset

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the marginal gain in that first year. If a cow

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only lasts 2 .5 lactations, you are constantly

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pouring money into raising replacements just

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to maintain your herd size. You are running on

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a genetic treadmill. So the industry had, through

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this relentless focus on volume, effectively

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bred out the necessary resilience. They had created

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these production monsters wrapped in tissue paper.

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Precisely. By the time M. Toto was born in 1993,

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the industry, especially in Europe where environmental

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pressures and longevity demands were higher,

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was desperately searching for wearability, for

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structural correctives, for genetics that could

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handle long -term stress. They needed a fix.

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They did. That structural deficiency is what

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led enlightened breeders to prioritize traits

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like longevity and utter confirmation, because

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the most expensive cow is not the one producing

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less milk. The most expensive cow is the one

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you have to replace too soon. And that desperate

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need for correction created the perfect vacuum

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for a specialist bull like Emtoto. But the correction

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didn't originate from the same production -focused

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genetic programs that created the problem. No,

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it could. It had to come from a different philosophy

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entirely. Which brings us to the unique environment

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of our second deep dive segment, the Italian

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reality check. This is where conventional wisdom

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surrounding U .S. style genetic indices gets

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utterly challenged. The question is, why did

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Italy's breeding philosophy diverge so sharply

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from the North American focus on fluid milk volume?

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It all comes down to the end product, doesn't

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it? In North America, liquid consumption drove

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genetics. In Italy, the sources state that over

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80 % of Italian milk was destined for incredibly

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high -value, quality -controlled cheese production.

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We're talking Parmigiano -Reggiano and Grana

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Padano. And these aren't just commodity products.

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They are protected designation of origin or PDO

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products with exceptionally strict quality requirements.

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So those market realities completely dictate

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the genetic priorities. The Italian National

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Association, ANIFI, They didn't use TPI or PLI

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in the same way. No, they relied on the ILQM,

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the Italian Lactation Quality Merit Index. And

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yes, production was 80 % of the weighting, but

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that remaining 20 % was heavily focused on type,

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with utter confirmation being absolutely central

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to their scoring system. But it goes beyond just

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structure, right? It's about the milk components

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themselves. Absolutely. They weren't just looking

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for volume. They needed specific protein quality.

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This is where we talk about kappa casein content.

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Okay, for the listener, break that down. Why

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does kappa casein matter so much for cheese?

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It's crucial for efficient and stable curd formation

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during cheese making. If you lack the right type

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and quantity of this protein, your cheese yield

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suffers, and the quality of the final cheese

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wheel is compromised. Metodo was bred to boost

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protein quality, ensuring high cheese yield efficiency,

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a factor that production indices often overlook

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in favor of just sheer volume. And they also

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needed ruggedness. These cows had to handle the

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Po Valley environment and the long, sustained

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production cycles required for those high -value

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cheese dairies. Right. Functionality, as Italian

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judge Gianni Beretta noted, was paramount. You

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needed cows that will last four, five, or six

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lactations, producing high -quality milk. Longevity

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in that environment wasn't nice to have. It was

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a non -negotiable economic necessity. So let's

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analyze Metodo's pedigree. because it perfectly

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illustrates how strategically he was designed

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as a corrective tool for the entire breed. He

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was built to address the bell flaws without losing

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the bell production potential. Exactly. His sire

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was Ronnie Burke Prelude, which brought stature,

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style, and that essential durability from the

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legendary Starbuck line. But the maternal side...

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That provided the necessary counterbalance to

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the tall, narrow look. His dam was Dixie Lee

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Bree Star Betsy, a two -mar Black Star daughter.

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And Black Star was the strength and width specialist

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of his generation. So Prelude gave Emtodo height

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and dairy character. Black Star gave him that

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critical width, capacity, and sheer physical

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strength. The sources even provide his AAA code,

00:11:47.929 --> 00:11:51.610
426. For those unfamiliar, AAA is a system focusing

00:11:51.610 --> 00:11:54.799
on physical balance. Walk me through why that

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specific code was the logical corrective fix

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for the narrowbell daughters who just lacked

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capacity. Okay, so the code 426 perfectly signaled

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a corrective bull for the common structural deficits

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of the time. The 4 means strength and width.

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That's targeting heart growth capacity, front

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end width, and overall body depth, counteracting

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the narrowness that Bell introduced. And the

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2 and the 6. The two signal stature, so he kept

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the frame, and the six indicates refinement adding

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dairy quality and clean bone, making sure the

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strength wasn't just brute force. Essentially,

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he was bred to take a frail, high -production

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cow and wrap it in a durable, robust frame. But

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the real genetic masterstroke, the thing that

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fixed the bell udders, was what they called the

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chief mark correction. Yes. The structural weaknesses

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and low -hanging udders that Bell transmitted

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were deep in the pedigree of so many cows. Matodo's

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maternal grand dame was sired by walkway chief

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Mark. And chief Mark was famous for one thing,

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transmitting superior, tightly attached udders

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with correct teat placement. This Belex Chief

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Mark cross, facilitated through Matodo's lineage,

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is cited as one of the most successful nicks

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in Holstein history. So what you're saying is

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Matodo was able to carry the high production

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potential that was locked in the bell line. Yes,

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but the physical deficiencies, the utter flaws,

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were corrected and packaged with the superior

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structure provided by Chief Mark. The pharma

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translation here is just powerful. Matodo was

00:13:16.509 --> 00:13:19.409
literally bred. to repair the physical damage

00:13:19.409 --> 00:13:21.350
inflicted by the previous generation's production

00:13:21.350 --> 00:13:23.409
obsession. And the key difference in philosophy

00:13:23.409 --> 00:13:26.269
was longevity, all driven by that PDO cheese

00:13:26.269 --> 00:13:28.990
market. Think about the impact of mastitis in

00:13:28.990 --> 00:13:32.009
a quality market. If your milk has high somatic

00:13:32.009 --> 00:13:34.230
cell counts, indicating infection or inflammation,

00:13:34.710 --> 00:13:37.269
the cheese factory won't just penalize you. They'll

00:13:37.269 --> 00:13:39.889
reject it. They reject the milk outright. You

00:13:39.889 --> 00:13:42.830
lose the sale entirely. Mastitis resistance in

00:13:42.830 --> 00:13:44.950
this context wasn't some health bonus. It was

00:13:44.950 --> 00:13:47.350
a hard economic requirement for survival in a

00:13:47.350 --> 00:13:49.769
quality -driven market. This is why Matodo's

00:13:49.769 --> 00:13:52.409
greatest strengths were invisible traits, utter

00:13:52.409 --> 00:13:54.909
health, and somatic cell score. That brings us

00:13:54.909 --> 00:13:57.490
perfectly to our third deep dive segment, Follow

00:13:57.490 --> 00:14:00.090
the Money. We need to quantify the invisible

00:14:00.090 --> 00:14:02.850
economics of utter health, which ultimately proved

00:14:02.850 --> 00:14:04.909
that the price tag of 40 pounds was actually

00:14:04.909 --> 00:14:07.529
a bargain. You mentioned the defining physical

00:14:07.529 --> 00:14:10.830
trait of Matodo's daughters, tight teat sphincters.

00:14:11.179 --> 00:14:14.980
Yes. They were renowned slow milking transmitters.

00:14:15.220 --> 00:14:18.659
In a high throughput, modern rotary parlor environment

00:14:18.659 --> 00:14:20.500
where the manager is judged on how many cows

00:14:20.500 --> 00:14:22.980
they get through per hour, slow milking is viewed

00:14:22.980 --> 00:14:26.100
as a serious defect. Because speed is king. Speed

00:14:26.100 --> 00:14:29.080
is prioritized above all else. But the source

00:14:29.080 --> 00:14:32.220
analysis explains the precise physiological tradeoff.

00:14:32.360 --> 00:14:34.779
And this is crucial for understanding the economic

00:14:34.779 --> 00:14:37.860
mistake the industry was making. Loose finkters

00:14:37.860 --> 00:14:40.659
mean fast making, which parlor managers love.

00:14:41.200 --> 00:14:43.600
But that loose tissue leads the door wide open

00:14:43.600 --> 00:14:46.019
for bacteria to enter the udder post -milking,

00:14:46.179 --> 00:14:49.019
turning those cows into mastitis magnets. And

00:14:49.019 --> 00:14:51.840
Matodo's genetics transmitted the opposite. Tight

00:14:51.840 --> 00:14:54.639
teat sphincter muscles. This made them snow milkers,

00:14:54.659 --> 00:14:57.100
yes, which frustrated the staff. But those tight

00:14:57.100 --> 00:14:59.379
sphincters created a natural physical barrier,

00:14:59.559 --> 00:15:02.179
an impenetrable defense mechanism against bacterial

00:15:02.179 --> 00:15:04.980
invasion immediately following milking. And this

00:15:04.980 --> 00:15:07.279
resulted in Matodo achieving health proofs that

00:15:07.279 --> 00:15:10.759
were just utterly superior. His UK proofs showed

00:15:10.759 --> 00:15:13.659
an elite somatic cell score of NERIG of 13, a

00:15:13.659 --> 00:15:16.299
healthy cow index of plus 17, and a lame disadvantage

00:15:16.299 --> 00:15:19.419
of plus 0 .7. Let's pause and define what NERIG

00:15:19.419 --> 00:15:22.169
of 13 SCC means for the practical farmer. OK,

00:15:22.269 --> 00:15:24.750
so when we talk about SCC scores, a negative

00:15:24.750 --> 00:15:27.389
number is good, meaning the bull reduces SCC

00:15:27.389 --> 00:15:30.509
in his daughters. A Nader 13 in the UK system

00:15:30.509 --> 00:15:33.590
is considered elite. It translates directly to

00:15:33.590 --> 00:15:36.350
fewer chronic infections, fewer subclinical cases,

00:15:36.590 --> 00:15:38.789
and therefore higher quality milk checks and

00:15:38.789 --> 00:15:41.470
far less dumping of unusable milk. I want to

00:15:41.470 --> 00:15:43.429
challenge the economics here, though. A lot of

00:15:43.429 --> 00:15:45.909
farmers here slow milker and they immediately

00:15:45.909 --> 00:15:48.830
think labor costs. If Mitoto's daughters are

00:15:48.830 --> 00:15:51.049
adding 30 seconds to the milking time for 200.

00:15:51.279 --> 00:15:54.320
cows, that's real labor money being spent. How

00:15:54.320 --> 00:15:56.340
do we balance that tangible cost against the

00:15:56.340 --> 00:15:58.480
invisible savings? That is the perfect question,

00:15:58.580 --> 00:16:00.820
and it illustrates why traditional spreadsheets

00:16:00.820 --> 00:16:03.600
failed to value mTOTO correctly. The parlor manager

00:16:03.600 --> 00:16:06.500
sees the tangible cost. A hard milker costs maybe

00:16:06.500 --> 00:16:09.759
30 or even 50 nevers a year in extra labor because

00:16:09.759 --> 00:16:12.019
of slower throughput. That's a definite calculated

00:16:12.019 --> 00:16:15.440
loss. Okay, so a 50 devery loss per cow per year.

00:16:15.559 --> 00:16:17.919
That's one bad. Now, let's look at the profit

00:16:17.919 --> 00:16:19.899
from what the sources call the invisible cow.

00:16:20.360 --> 00:16:23.100
What is the cost of a single severe mastitis

00:16:23.100 --> 00:16:26.139
case? Conservatively, you lose the milk from

00:16:26.139 --> 00:16:28.500
the infected quarter, you spend on the vet visit,

00:16:28.679 --> 00:16:30.799
you spend on antibiotics, you spend time on labor

00:16:30.799 --> 00:16:32.539
for treatments. Three times a day for a week.

00:16:32.759 --> 00:16:34.860
Right. And you have milk withholding. Yeah. That

00:16:34.860 --> 00:16:37.320
total cost for a single severe case can easily

00:16:37.320 --> 00:16:40.039
run 300 to 500 euros. The bold daughter might

00:16:40.039 --> 00:16:42.220
have three or four severe cases in a short career.

00:16:42.419 --> 00:16:45.769
Exactly. So now... Combine the avoided vet bills,

00:16:46.049 --> 00:16:48.750
the avoided labor, the avoided milk loss, the

00:16:48.750 --> 00:16:51.210
avoided permanent damage to the udder, and then

00:16:51.210 --> 00:16:53.690
add the biggest saving of all, avoided culling.

00:16:54.049 --> 00:16:56.730
By avoiding those problems and getting just two

00:16:56.730 --> 00:16:59.629
or three extra profitable lactations, which metodo

00:16:59.629 --> 00:17:02.919
daughters routinely did, you generate 2 ,000

00:17:02.919 --> 00:17:06.420
to 3 ,000 in additional pure profit per cow over

00:17:06.420 --> 00:17:08.559
her lifetime. So we're comparing a certain 50

00:17:08.559 --> 00:17:11.299
annual labor cost against a potential 3 ,000

00:17:11.299 --> 00:17:13.519
lifetime profit increase from avoided disaster.

00:17:13.920 --> 00:17:15.960
The spreadsheet's were dead wrong when they only

00:17:15.960 --> 00:17:18.319
focused on fast milking and volume. They were

00:17:18.319 --> 00:17:20.859
catastrophically wrong. The mtoto cow wasn't

00:17:20.859 --> 00:17:22.900
spectacular. She was profitable because she was

00:17:22.900 --> 00:17:25.500
quiet. She cost nothing to keep running. She

00:17:25.500 --> 00:17:27.420
was the definition of functional resilience.

00:17:27.920 --> 00:17:31.220
And that ultimately justifies the famous 40 -pound

00:17:31.220 --> 00:17:34.500
question. When Avoncroft introduced him in 1998,

00:17:34.859 --> 00:17:37.559
he was 40 pounds per straw when competitors like

00:17:37.559 --> 00:17:40.059
Ulma Prelude Tugelo were 20 pounds and General

00:17:40.059 --> 00:17:42.319
Purpose Volume Sires were, what, 10 pounds, 15

00:17:42.319 --> 00:17:45.019
pounds? It required a philosophical leap to stid

00:17:45.019 --> 00:17:47.099
that money. It was a strategic investment, not

00:17:47.099 --> 00:17:49.359
an expense. Farmers weren't paying 40 pounds

00:17:49.359 --> 00:17:51.519
for production volume. They were paying 40 pounds

00:17:51.519 --> 00:17:54.220
for an insurance policy. They were buying a targeted

00:17:54.220 --> 00:17:57.220
solution to expensive systemic problems, mastitis,

00:17:57.420 --> 00:17:59.460
high replacement rates, structural breakdown

00:17:59.460 --> 00:18:02.099
that were bleeding their operations dry. That

00:18:02.099 --> 00:18:04.279
premium price reflected his specialty status

00:18:04.279 --> 00:18:06.559
and his ability to fix problems that cost 10

00:18:06.559 --> 00:18:08.740
times that much to manage. Forward -thinking

00:18:08.740 --> 00:18:11.539
producers recognize that value, even if his production

00:18:11.539 --> 00:18:14.599
proofs were just moderate. And that strategic

00:18:14.599 --> 00:18:17.559
contrarian application of M -Toto is perfectly

00:18:17.559 --> 00:18:19.799
illustrated in our fourth deep dive segment.

00:18:20.240 --> 00:18:22.819
The case studies and examples which led to the

00:18:22.819 --> 00:18:25.900
birth of the shuttle dynasty. This story is the

00:18:25.900 --> 00:18:28.140
ultimate example of defying the conventional

00:18:28.140 --> 00:18:30.500
wisdom of the AI industry. We're talking about

00:18:30.500 --> 00:18:32.799
the Pickford family in the UK and their cow,

00:18:33.039 --> 00:18:36.859
Condon Arrow Sharon, classified EX91. The year

00:18:36.859 --> 00:18:39.720
is 1999, and Sharon is eight years old. Eight

00:18:39.720 --> 00:18:41.640
years old. Think about that in terms of genetic

00:18:41.640 --> 00:18:43.779
turnover. The industry had fully filtered her

00:18:43.779 --> 00:18:46.680
out. She was, by all accounts, a genetic antique.

00:18:47.160 --> 00:18:50.740
Obsolete. Yeah. AI companies want young, high

00:18:50.740 --> 00:18:53.059
-genomic heifers to breed from because progress

00:18:53.059 --> 00:18:55.759
moves so fast. Sharon was considered completely

00:18:55.759 --> 00:18:58.339
obsolete. But the Pickfers looked past the hype.

00:18:58.640 --> 00:19:00.779
They recognized that Sharon possessed the most

00:19:00.779 --> 00:19:02.819
important genetic trait you can't get from a

00:19:02.819 --> 00:19:05.519
genomic test. durability. She had survived eight

00:19:05.519 --> 00:19:07.940
years of high production, maintained a high classification,

00:19:08.299 --> 00:19:10.920
and kept breeding back. She was a proven survivor.

00:19:11.279 --> 00:19:14.420
Their decision was a calculated wager. They bred

00:19:14.420 --> 00:19:16.799
this proven survivor, Sharon, to the durability

00:19:16.799 --> 00:19:20.680
specialist, Mentoto. The goal wasn't just maximizing

00:19:20.680 --> 00:19:23.559
milk. It was locking in that longevity and adding

00:19:23.559 --> 00:19:26.279
Mentoto's elite low SCC and utter refinement,

00:19:26.460 --> 00:19:28.900
specifically to counter the prevailing industry

00:19:28.900 --> 00:19:31.700
age bias. And that decision created a dynasty.

00:19:32.240 --> 00:19:36.779
On July 23, 1999, Pixton Schottel was born. The

00:19:36.779 --> 00:19:39.220
sources describe Schottel as a perfected mtoto.

00:19:39.380 --> 00:19:42.339
He successfully retained the elite low SCC and

00:19:42.339 --> 00:19:44.940
the functional correct type of his sire, but

00:19:44.940 --> 00:19:47.099
he gained the necessary increased milk flow and

00:19:47.099 --> 00:19:49.619
powerful frame from his dam's high -producing

00:19:49.619 --> 00:19:52.039
lineage. The phenomenon that followed was unprecedented,

00:19:52.359 --> 00:19:54.940
and it confirms the economic theory of the invisible

00:19:54.940 --> 00:19:57.960
cow. Farmers didn't notice shottle daughters

00:19:57.960 --> 00:20:00.099
for their spectacular production. I mean, they

00:20:00.099 --> 00:20:02.140
were good, but not record breakers. They noticed

00:20:02.140 --> 00:20:04.160
them for their total lack of drama. The invisible

00:20:04.160 --> 00:20:07.099
cow. Yes. The shottle daughters rarely needed

00:20:07.099 --> 00:20:09.660
vet treatment. They bred back easily. They quietly

00:20:09.660 --> 00:20:12.259
produced for five, six, even seven lactations.

00:20:12.460 --> 00:20:14.819
This complete lack of management headaches drove

00:20:14.819 --> 00:20:17.539
what industry analysts called unprecedented reorder

00:20:17.539 --> 00:20:19.559
rates. I remember reading about that. It wasn't

00:20:19.559 --> 00:20:21.779
just a bull selling well. It was repeat business

00:20:21.779 --> 00:20:25.240
based on actual farm level performance. Exactly.

00:20:25.279 --> 00:20:28.359
The process was a farmer would try 10 straws,

00:20:28.380 --> 00:20:30.940
see the functional results, the easy calving,

00:20:31.000 --> 00:20:33.220
the clean, utter health, and they would immediately

00:20:33.220 --> 00:20:36.099
call wanting hundreds more. That right there

00:20:36.099 --> 00:20:39.180
is the real metric of a bull's value. Customer

00:20:39.180 --> 00:20:41.799
satisfaction and reorder rates based on durability,

00:20:42.160 --> 00:20:45.880
not just the initial glossy index ranking. Schottl's

00:20:45.880 --> 00:20:49.170
dominance then went global. In 2008, he achieved

00:20:49.170 --> 00:20:51.710
the number one TPI ranking in the United States.

00:20:51.769 --> 00:20:54.650
I mean, think about that. A UK bred bull from

00:20:54.650 --> 00:20:57.309
an Italian sire focusing on cheese genetics and

00:20:57.309 --> 00:20:59.920
an old cow. dominating North American genetics,

00:21:00.000 --> 00:21:02.299
which was focused on volume. It just demonstrates

00:21:02.299 --> 00:21:04.420
the desperate global need for that kind of correction.

00:21:04.700 --> 00:21:07.460
His legacy is difficult to quantify fully. Over

00:21:07.460 --> 00:21:10.960
1 .17 million doses sold globally and an estimated

00:21:10.960 --> 00:21:12.819
economic impact in the billions, predominantly

00:21:12.819 --> 00:21:15.720
through saved costs. Reduced mastitis treatments,

00:21:16.059 --> 00:21:18.380
fewer involuntary calls, and extended productive

00:21:18.380 --> 00:21:21.450
lives. I'm Toto in shuttle. proved that durability

00:21:21.450 --> 00:21:24.430
and consistency are the fundamental drivers of

00:21:24.430 --> 00:21:26.990
long -term profit, not the spectacular short

00:21:26.990 --> 00:21:30.289
-term production highs. No doubt. So, we've established

00:21:30.289 --> 00:21:32.569
that Memtoto was a genetic giant, a revolutionary

00:21:32.569 --> 00:21:35.069
for his time, but we have to return to the elephant

00:21:35.069 --> 00:21:38.250
in the room that we teased earlier. Why are Memtoto's

00:21:38.250 --> 00:21:42.029
2025 proofs negative? Milk minus 18 kilograms.

00:21:42.829 --> 00:21:46.589
PLI minus 112 pounds. Why does the bull that

00:21:46.589 --> 00:21:48.869
saved the breed look like a disaster on today's

00:21:48.869 --> 00:21:51.309
catalog? This is where we need to slow down and

00:21:51.309 --> 00:21:53.289
really understand the concept of base change

00:21:53.289 --> 00:21:56.569
reality. The Holstein breed average, which determines

00:21:56.569 --> 00:21:58.869
the genetic proof rankings, resets approximately

00:21:58.869 --> 00:22:01.309
every five years to reflect the progress made

00:22:01.309 --> 00:22:03.369
by the entire population. Okay, think of it like

00:22:03.369 --> 00:22:05.630
Olympic records. Every four years, the average

00:22:05.630 --> 00:22:08.009
performance of top athletes gets better, so a

00:22:08.009 --> 00:22:10.549
gold medal performance from 1998 might not even

00:22:10.549 --> 00:22:13.470
qualify for the finals in 2025. That's a perfect

00:22:13.470 --> 00:22:16.609
analogy. Matodo's genetics were so successful

00:22:16.609 --> 00:22:18.829
at introducing health, longevity, and structural

00:22:18.829 --> 00:22:21.369
soundness that they lifted the floor of the entire

00:22:21.369 --> 00:22:24.069
population. The cow that was the exceptional

00:22:24.069 --> 00:22:26.390
standard bearer for utter quality and structural

00:22:26.390 --> 00:22:29.490
correctness in 1998 is, by today's standards,

00:22:29.710 --> 00:22:32.549
merely average. Because the average cow today

00:22:32.549 --> 00:22:35.049
is just structurally and functionally superior

00:22:35.049 --> 00:22:38.369
to the average cow 30 years ago. Largely thanks

00:22:38.369 --> 00:22:41.259
to Matodo's influence. So those negative production

00:22:41.259 --> 00:22:44.279
figures reflect 30 years of intense, successful

00:22:44.279 --> 00:22:46.880
selection pressure on the breed as a whole. It

00:22:46.880 --> 00:22:49.079
means the breed has successfully caught up to

00:22:49.079 --> 00:22:51.319
and surpassed Matoda's production capability

00:22:51.319 --> 00:22:54.420
while retaining the durability he provided. And

00:22:54.420 --> 00:22:55.900
you have to look at his health traits. They're

00:22:55.900 --> 00:22:58.519
still there. Critically, yes. Look at his health

00:22:58.519 --> 00:23:01.220
traits. His SEC score still sits at negative

00:23:01.220 --> 00:23:04.549
13. Those functional genes survived 30 years

00:23:04.549 --> 00:23:07.190
of selection because they work. Genomic analysis

00:23:07.190 --> 00:23:09.769
confirms his foundational influence. His genetics

00:23:09.769 --> 00:23:12.170
consistently show up in analyses of genes in

00:23:12.170 --> 00:23:14.750
common with the current elite population, making

00:23:14.750 --> 00:23:17.849
up 6 .44 % of the shared genetics. That is incredible.

00:23:18.089 --> 00:23:20.930
That level of persistent influence is the ultimate

00:23:20.930 --> 00:23:24.049
proof of value. This historical perspective gives

00:23:24.049 --> 00:23:25.930
us a critical warning for the present moment.

00:23:26.190 --> 00:23:28.650
If Intoto represented the correction for the

00:23:28.650 --> 00:23:33.049
disastrous Bell era, are we now... today facing

00:23:33.049 --> 00:23:36.029
bill 2 .0 we are and we are repeating the mistake

00:23:36.029 --> 00:23:38.269
at warp speed because of the power of genomics

00:23:38.269 --> 00:23:41.829
in the 1980s it took years of progeny testing

00:23:41.829 --> 00:23:44.130
to realize the bill daughters were breaking down

00:23:44.130 --> 00:23:46.829
today we can saturate the breed with similar

00:23:46.829 --> 00:23:50.119
high production low resilience genetics in 18

00:23:50.119 --> 00:23:53.579
months. We are aggressively selecting for high

00:23:53.579 --> 00:23:56.460
TPI, which is heavily skewed toward production

00:23:56.460 --> 00:23:59.480
and component yield, while dangerously underweighting

00:23:59.480 --> 00:24:01.460
the survival traits that are often harder to

00:24:01.460 --> 00:24:04.279
predict accurately from a calf's DNA. We've seen

00:24:04.279 --> 00:24:07.000
the consultants' reports, and they paint a terrifyingly

00:24:07.000 --> 00:24:10.269
familiar picture. They quote the exact same pattern.

00:24:10.509 --> 00:24:14.009
Herds using only the top 10 TPI bulls see absolutely

00:24:14.009 --> 00:24:17.089
beautiful, spectacular first lactations. Then

00:24:17.089 --> 00:24:19.369
structural or metabolic problems emerge by the

00:24:19.369 --> 00:24:21.970
second, and those high TPI cows are often gone,

00:24:22.130 --> 00:24:24.750
culled, or struggling by the third. Genomic selection

00:24:24.750 --> 00:24:26.890
has simply created fragility at a much faster

00:24:26.890 --> 00:24:29.109
rate. Wait, I need more detail on that frailty

00:24:29.109 --> 00:24:32.250
problem. What specifically is breaking down in

00:24:32.250 --> 00:24:35.099
these modern top -indexed cows? It's the same

00:24:35.099 --> 00:24:37.700
bill era mechanics, just expressed differently

00:24:37.700 --> 00:24:40.000
due to, you know, modern environmental pressures.

00:24:40.180 --> 00:24:43.240
We see early metabolic collapse when the cow's

00:24:43.240 --> 00:24:45.539
energy partitioning system can't keep up with

00:24:45.539 --> 00:24:47.940
the component yield demand. That leads to poor

00:24:47.940 --> 00:24:50.640
fertility and an increased risk of milk fever

00:24:50.640 --> 00:24:54.279
or ketosis. We see foot and leg issues, specifically

00:24:54.279 --> 00:24:56.759
digital dermatitis, because their frame is pushed

00:24:56.759 --> 00:24:59.160
too hard. And worst of all, reproductive failure

00:24:59.160 --> 00:25:01.859
is soaring, meaning they simply fail to breed

00:25:01.859 --> 00:25:04.359
back, forcing involuntary culture. after the

00:25:04.359 --> 00:25:06.460
first or second lactation. And this fragility

00:25:06.460 --> 00:25:08.680
is compounded by the diversity crisis, isn't

00:25:08.680 --> 00:25:11.279
it? Exactly. The research is scary. It shows

00:25:11.279 --> 00:25:13.519
the Holstein breed's effective population size

00:25:13.519 --> 00:25:16.740
has collapsed to maybe 50 to 100 animals. We

00:25:16.740 --> 00:25:18.880
are increasing the risk of inbreeding and disease

00:25:18.880 --> 00:25:21.240
susceptibility while still chasing that singular

00:25:21.240 --> 00:25:24.160
high TPI metric. We're putting all our genetic

00:25:24.160 --> 00:25:27.519
eggs into a single fragile basket. So we're forgetting

00:25:27.519 --> 00:25:29.900
the lesson Imtoto taught us. It seems like it.

00:25:29.980 --> 00:25:32.700
mToto taught us to diversify and prioritize resilience.

00:25:33.119 --> 00:25:35.279
The industry seems to be forgetting that lesson

00:25:35.279 --> 00:25:37.660
in the pursuit of a higher index rank. So if

00:25:37.660 --> 00:25:40.079
we need to apply the brakes on this genetic speedrun

00:25:40.079 --> 00:25:42.839
and diversify our selection, where do we find

00:25:42.839 --> 00:25:45.599
today's mToto? We know he's not going to be topping

00:25:45.599 --> 00:25:48.539
the TPI list, he'll probably be expensive, and

00:25:48.539 --> 00:25:50.700
his production will look moderate. The contrarian

00:25:50.700 --> 00:25:53.880
argument is powerful. The most profitable bull

00:25:53.880 --> 00:25:55.559
in the catalog for many commercial operations,

00:25:56.000 --> 00:25:57.900
the one who will keep your farm running until

00:25:57.900 --> 00:26:01.160
2040, is likely hiding down at TPI rank, hashtag

00:26:01.160 --> 00:26:05.059
300, hashtag 400. That low? Yeah. He misses the

00:26:05.059 --> 00:26:07.279
spectacular production metrics that grab the

00:26:07.279 --> 00:26:09.680
headlines, but he possesses the comprehensive

00:26:09.680 --> 00:26:11.940
durability traits that actually make you money.

00:26:12.099 --> 00:26:14.079
Okay, so I'm the farmer listening right now.

00:26:14.140 --> 00:26:16.380
I'm skeptical of paying premium prices for moderate

00:26:16.380 --> 00:26:19.190
production. Walk me through the criteria. What

00:26:19.190 --> 00:26:22.769
specific survival genetics define the 2025 mTOTO

00:26:22.769 --> 00:26:25.230
profile needed for the modern dairy environment?

00:26:25.630 --> 00:26:28.349
Volatile input costs, climate change, robotic

00:26:28.349 --> 00:26:30.910
milking demands. We need to define the survival

00:26:30.910 --> 00:26:34.029
traits with precision. First, reproductive efficiency.

00:26:34.569 --> 00:26:38.210
That bull needs daughter pregnancy rates, DPR,

00:26:38.450 --> 00:26:42.150
at plus 3 .0 or better. Why that number specifically?

00:26:42.650 --> 00:26:44.849
Because a cow that breeds back easily is a cow

00:26:44.849 --> 00:26:47.259
that stays in the herd. It's that simple. For

00:26:47.259 --> 00:26:50.160
robotic systems, consistent breeding is non -negotiable

00:26:50.160 --> 00:26:52.640
for parlor flow and efficiency. What about health?

00:26:52.980 --> 00:26:56.930
Metodo specialty. We need elite SCC scores. Definitely

00:26:56.930 --> 00:26:59.910
under 2 .7 in the U .S. system or the equivalent

00:26:59.910 --> 00:27:03.309
of mTOTO's negative 13 in the U .K. system. This

00:27:03.309 --> 00:27:06.450
means mastitis resistance. Second, we need metabolic

00:27:06.450 --> 00:27:09.269
resilience cows that don't crash in early lactation

00:27:09.269 --> 00:27:11.509
when pushed for high components. They manage

00:27:11.509 --> 00:27:13.829
their energy demand without resorting to chronic

00:27:13.829 --> 00:27:16.230
negative energy balance. And finally, structure.

00:27:16.720 --> 00:27:18.839
And finally, functional structure, robust feet

00:27:18.839 --> 00:27:21.160
and legs that can handle concrete floors and

00:27:21.160 --> 00:27:23.180
the specific movement demands of robotic gates.

00:27:23.380 --> 00:27:25.740
If that bull is ranked half -tech 350 in TPI,

00:27:26.059 --> 00:27:28.920
his price might still be high, say $50 or $60

00:27:28.920 --> 00:27:31.779
a straw, because the AI companies know the functional

00:27:31.779 --> 00:27:34.440
value is premium. This means the farmer still

00:27:34.440 --> 00:27:37.079
has to overcome the exact same psychological

00:27:37.079 --> 00:27:39.980
barrier the Pickfords faced with the 40 -pound

00:27:39.980 --> 00:27:43.119
M. Toto straw back in 1998. That's the key takeaway.

00:27:43.359 --> 00:27:45.599
You must recognize that paying a premium for

00:27:45.599 --> 00:27:47.660
a moderate production bolt isn't an expense.

00:27:47.960 --> 00:27:50.500
It's the lowest cost insurance policy you can

00:27:50.500 --> 00:27:52.660
buy against metabolic and structural breakdown.

00:27:53.039 --> 00:27:56.480
The price reflects the avoided disaster. Emtoto

00:27:56.480 --> 00:27:58.779
and Schottl prove that durability and consistency

00:27:58.779 --> 00:28:01.799
lasting six or seven lactations are the real

00:28:01.799 --> 00:28:04.619
quiet engines of long -term profit, entirely

00:28:04.619 --> 00:28:07.240
outweighing the spectacular short -term production

00:28:07.240 --> 00:28:09.779
highs. It's about shifting the focus from income

00:28:09.779 --> 00:28:12.829
maximization to cost minimization. The bull that

00:28:12.829 --> 00:28:14.750
costs you the least in vet bills and replacement

00:28:14.750 --> 00:28:17.190
heifers is the most profitable bull. At the end

00:28:17.190 --> 00:28:18.730
of the day, that's it. All right. This has been

00:28:18.730 --> 00:28:21.630
a profound historical and current analysis. The

00:28:21.630 --> 00:28:23.309
farmer listening just finished morning milking.

00:28:23.390 --> 00:28:25.369
They're heading to the feed store, catalog open,

00:28:25.509 --> 00:28:27.390
or perhaps they're logging into their breeding

00:28:27.390 --> 00:28:31.410
software. What are the three structured, actionable

00:28:31.410 --> 00:28:33.529
insights they need to take from this deep dive

00:28:33.529 --> 00:28:36.089
into Mentoto's legacy? OK, we need to structure

00:28:36.089 --> 00:28:39.410
this into immediate, medium and long term actions

00:28:39.410 --> 00:28:42.200
to make this knowledge practical. Let's start

00:28:42.200 --> 00:28:44.200
with immediate action. What should they review

00:28:44.200 --> 00:28:46.559
this week? Immediately, you need to review your

00:28:46.559 --> 00:28:48.880
current bull filtering system and your internal

00:28:48.880 --> 00:28:52.079
culling reports. Stop filtering exclusively for

00:28:52.079 --> 00:28:55.200
the top 50 TPI list, which is often just chasing

00:28:55.200 --> 00:28:57.579
vanity metrics. So change the search parameters.

00:28:57.839 --> 00:29:00.220
Exactly. Start screening the entire catalog for

00:29:00.220 --> 00:29:03.660
the mToto profile. Bulls with elite health traits,

00:29:03.859 --> 00:29:06.859
specifically low SCC, utter health, and lameness

00:29:06.859 --> 00:29:10.259
advantage, even if the overall PLI or TPI rank

00:29:10.259 --> 00:29:12.680
is moderate, like in the hashtag 200 to hashtag

00:29:12.680 --> 00:29:15.390
400 range. If you're struggling with mastitis

00:29:15.390 --> 00:29:18.230
or fertility, that bull at hashtag 350 might

00:29:18.230 --> 00:29:20.789
be the one saving your farm in 2028. You need

00:29:20.789 --> 00:29:22.730
to identify your weakest link and start searching

00:29:22.730 --> 00:29:25.109
for the corrective tool. OK, medium term strategy.

00:29:25.710 --> 00:29:27.690
What strategic changes should they implement

00:29:27.690 --> 00:29:29.710
over the next three to six months? Implement

00:29:29.710 --> 00:29:33.250
corrective mating strategically. Remember, mToto

00:29:33.250 --> 00:29:35.430
was marketed as a high -price corrective tool,

00:29:35.549 --> 00:29:37.930
not a general -purpose sire for the entire herd.

00:29:38.730 --> 00:29:41.230
Identify specific cow families or individual

00:29:41.230 --> 00:29:44.309
cows that exhibit the Bell -era flaws, poor udders,

00:29:44.410 --> 00:29:47.329
chronic mastitis, or poor fertility. Target the

00:29:47.329 --> 00:29:50.220
problem, Cass. Right. Use the premium specialized

00:29:50.220 --> 00:29:52.960
sires, the ones that cost more, but offer high

00:29:52.960 --> 00:29:56.400
DPR or SCC only on those specific cows that need

00:29:56.400 --> 00:29:59.259
that targeted structural correction. Use the

00:29:59.259 --> 00:30:01.740
cheaper volume bulls only on your genetically

00:30:01.740 --> 00:30:04.619
sound cow families. Don't waste the specialist

00:30:04.619 --> 00:30:06.619
genetics on cows that don't need the correction.

00:30:06.980 --> 00:30:09.859
And finally, long -term positioning. How do they

00:30:09.859 --> 00:30:11.900
align their operation for the next one to two

00:30:11.900 --> 00:30:14.079
years? You must redefine your profit drivers.

00:30:14.339 --> 00:30:17.299
Make longevity metrics productive life. Healthy

00:30:17.299 --> 00:30:19.880
cow index and daughter pregnancy rate, the primary

00:30:19.880 --> 00:30:22.480
factors in your breeding index. You have to recognize

00:30:22.480 --> 00:30:25.319
that two extra profitable lactations from an

00:30:25.319 --> 00:30:28.859
invisible cow are worth far more than 500 pounds

00:30:28.859 --> 00:30:30.880
of extra milk in the first. And what if you're

00:30:30.880 --> 00:30:33.400
using robots? If your operation is moving toward

00:30:33.400 --> 00:30:37.099
or already uses robotic milking, mTOTO's functional

00:30:37.099 --> 00:30:39.339
type, specifically the tight udder attachment

00:30:39.339 --> 00:30:42.029
and correct... centrally placed teat position

00:30:42.029 --> 00:30:45.829
is non -negotiable for system efficiency. Align

00:30:45.829 --> 00:30:47.650
your breeding objectives with the reality of

00:30:47.650 --> 00:30:49.809
your farm management, not the glossy magazine

00:30:49.809 --> 00:30:52.349
rankings. This has been another deep dive from

00:30:52.349 --> 00:30:54.750
the Bullbine podcast, reminding us that genetic

00:30:54.750 --> 00:30:57.670
value depends entirely on context. The bull that

00:30:57.670 --> 00:30:59.690
looks like an expensive failure on paper can,

00:30:59.789 --> 00:31:02.009
in fact, be the essential specialist who saves

00:31:02.009 --> 00:31:04.690
your herd from economic disaster. If this kind

00:31:04.690 --> 00:31:07.369
of impartial, no -BS industry analysis helps

00:31:07.369 --> 00:31:16.009
your operation, head to www. And seriously, subscribe

00:31:16.009 --> 00:31:18.890
wherever you get your deep dives. We're releasing

00:31:18.890 --> 00:31:21.150
episodes twice weekly now, and trust me, you

00:31:21.150 --> 00:31:22.529
don't want to miss what we've got coming next

00:31:22.529 --> 00:31:25.269
week. We're doing a comprehensive deep dive into

00:31:25.269 --> 00:31:27.509
the genetic revolution, how record -breaking

00:31:27.509 --> 00:31:29.970
milk components are reshaping dairy's future.

00:31:30.150 --> 00:31:32.569
We will focus heavily on the new net merit 2025

00:31:32.569 --> 00:31:35.369
formula, why the industry is pivoting hard toward

00:31:35.369 --> 00:31:38.029
butterfat and protein yield. and why feed efficiency

00:31:38.029 --> 00:31:40.450
is not just a secondary metric anymore, but the

00:31:40.450 --> 00:31:42.569
single most crucial factor for surviving volatile

00:31:42.569 --> 00:31:45.269
input costs in the coming decade. We'll see you

00:31:45.269 --> 00:31:45.549
next time.
