WEBVTT 00:00:11.720 --> 00:00:15.060 Breaking free from the chains of the past Where 00:00:15.060 --> 00:00:18.820 truth moves faster than a Holstein calf No law 00:00:18.820 --> 00:00:21.660 waiting on some printed page We're charting new 00:00:21.660 --> 00:00:25.300 ground in the digital age From genomic codes 00:00:25.300 --> 00:00:29.120 to robot facts We cut through the noise, no hold 00:00:29.280 --> 00:00:32.460 them back not your daddy's dairy news tonight 00:00:32.460 --> 00:01:02.990 we're sparking Welcome to the Bullvine Podcast, 00:01:03.509 --> 00:01:06.269 your go -to source for the latest in dairy innovation, 00:01:06.609 --> 00:01:09.930 science, and business strategy. I'm your host, 00:01:09.989 --> 00:01:12.430 and today we're diving into the next frontier, 00:01:12.730 --> 00:01:16.069 technological and genetic innovations reshaping 00:01:16.069 --> 00:01:20.189 dairy cattle breeding from 2025 to 2030. In this 00:01:20.189 --> 00:01:22.870 special episode, we're unpacking insights powered 00:01:22.870 --> 00:01:26.109 by Notebook LM's audio toolkit, so you'll get 00:01:26.109 --> 00:01:28.730 straight talk on cutting -edge advances like 00:01:28.730 --> 00:01:31.569 CRISPR gene editing, AI -driven herd management, 00:01:31.890 --> 00:01:34.730 genomic selection, and the real economic payback 00:01:34.730 --> 00:01:36.849 these game changers are offering progressive 00:01:36.849 --> 00:01:40.010 dairy producers worldwide. If you're ready to 00:01:40.010 --> 00:01:42.670 leave outdated myths behind and build a future 00:01:42.670 --> 00:01:45.390 -proof, profitable dairy business, this episode's 00:01:45.390 --> 00:01:48.840 for you. Let's dive in. Welcome back to The Deep 00:01:48.840 --> 00:01:51.120 Dive, the show that digs deep into the topics 00:01:51.120 --> 00:01:53.040 that matter to dairy producers. That's right. 00:01:53.159 --> 00:01:55.939 Today we're diving into a really insightful feature 00:01:55.939 --> 00:01:58.560 article from The Bullvine that's sparking a lot 00:01:58.560 --> 00:02:01.260 of conversations across the industry. Yeah, I've 00:02:01.260 --> 00:02:03.239 heard some buzz about this one. It lays out a 00:02:03.239 --> 00:02:05.319 pretty fascinating roadmap for the future of 00:02:05.319 --> 00:02:09.039 dairy. Our mission for this Deep Dive is... really 00:02:09.039 --> 00:02:12.680 to unpack the genetic and technological breakthroughs 00:02:12.680 --> 00:02:14.460 on the horizon. So one's coming up pretty soon, 00:02:14.520 --> 00:02:17.719 right? Yeah. Like between 2025 and 2030. Exactly. 00:02:17.719 --> 00:02:19.780 And show you how these aren't just, you know, 00:02:19.780 --> 00:02:22.319 exciting lab experiments or some theoretical 00:02:22.319 --> 00:02:24.599 ideas. Right. Not just something scientists are 00:02:24.599 --> 00:02:27.780 dreaming up. No, these are very real, tangible 00:02:27.780 --> 00:02:30.099 profit opportunities for your dairy operation. 00:02:30.460 --> 00:02:32.740 We're talking about direct impacts on your bottom 00:02:32.740 --> 00:02:35.129 line. Like what specifically? Like significantly 00:02:35.129 --> 00:02:39.569 lower feed bills, reduced labor costs, and even 00:02:39.569 --> 00:02:43.330 opening up access to entirely new premium milk 00:02:43.330 --> 00:02:45.310 markets. Okay, premium markets. That definitely 00:02:45.310 --> 00:02:47.750 gets your attention. It's a vision for how to 00:02:47.750 --> 00:02:50.189 not just survive, but actually thrive in the, 00:02:50.310 --> 00:02:52.610 you know, the evolving dairy landscape we're 00:02:52.610 --> 00:02:54.870 seeing. Okay, let's unpack this vision then, 00:02:54.909 --> 00:02:57.210 because the article immediately hits us with 00:02:57.210 --> 00:02:59.689 something, well, pretty groundbreaking. This 00:02:59.689 --> 00:03:02.639 idea of designer milk. through advanced gene 00:03:02.639 --> 00:03:05.259 editing and selection. Right. Designer milk. 00:03:05.379 --> 00:03:07.539 And this is something they expect to really emerge 00:03:07.539 --> 00:03:11.659 between 2025 and 2027. So not that far off. No, 00:03:11.719 --> 00:03:14.639 relatively soon. And the article, it draws this 00:03:14.639 --> 00:03:17.939 really compelling parallel to the organic milk 00:03:17.939 --> 00:03:20.580 revolution. Yeah, I saw that. Thinking back, 00:03:20.659 --> 00:03:23.250 organic seemed, I don't know. Almost impossible 00:03:23.250 --> 00:03:25.509 to some people just a few decades ago. Totally. 00:03:25.509 --> 00:03:28.349 A real niche thing. And now. Now it's everywhere. 00:03:28.469 --> 00:03:32.569 A staple. Exactly. So the core idea here is using 00:03:32.569 --> 00:03:36.449 CRISPR technology. Which is like molecular scissors. 00:03:36.530 --> 00:03:38.689 That's the common analogy, yeah. To basically 00:03:38.689 --> 00:03:42.430 snip and modify DNA with incredible precision. 00:03:42.810 --> 00:03:45.349 Okay. And this lets us create milk with very 00:03:45.349 --> 00:03:48.310 specific desired properties right at the genetic 00:03:48.310 --> 00:03:51.830 level of the cow. Wow. Okay. Specific properties 00:03:51.830 --> 00:03:53.889 like what? Well, you know, when I first read 00:03:53.889 --> 00:03:55.770 about this, what really jumped out at me wasn't 00:03:55.770 --> 00:03:58.129 just the science itself, which is amazing. It 00:03:58.129 --> 00:04:00.530 is pretty cool tech. But the why it matters part, 00:04:00.710 --> 00:04:03.270 you know, the practical implications for a dairy 00:04:03.270 --> 00:04:05.229 farm. Right. What does it mean for the producer 00:04:05.229 --> 00:04:09.129 listening? Imagine being able to, say, eliminate 00:04:09.129 --> 00:04:11.870 beta -lactoglobulin. Okay. The protein that causes 00:04:11.870 --> 00:04:13.909 allergies for some people? Exactly that one. 00:04:13.969 --> 00:04:17.230 Just that single change could open up a whole 00:04:17.230 --> 00:04:20.649 new segment of consumers who currently, can't 00:04:20.649 --> 00:04:23.149 drink regular milk. That would immediately expand 00:04:23.149 --> 00:04:25.810 your market potential, wouldn't it? Huge potential. 00:04:26.089 --> 00:04:29.050 But it goes beyond just allergies. The article 00:04:29.050 --> 00:04:31.290 also highlights selecting for cows that produce 00:04:31.290 --> 00:04:34.930 way higher casein content. Higher casein. How 00:04:34.930 --> 00:04:36.470 much higher are we talking? Well, the projections 00:04:36.470 --> 00:04:38.230 are pretty significant. They're talking increases 00:04:38.230 --> 00:04:43.209 between 17 % and, get this, up to 35%. 35%. An 00:04:43.209 --> 00:04:45.709 astounding rate. For anyone in cheese, or even 00:04:45.709 --> 00:04:47.649 just thinking about component pricing, that's 00:04:47.649 --> 00:04:51.350 massive. Absolutely. High casein means more cheese, 00:04:51.610 --> 00:04:54.629 better cheese yield, more product from the same 00:04:54.629 --> 00:04:57.610 volume of milk. And it doesn't stop there. There 00:04:57.610 --> 00:05:00.649 are potential human health benefits, too. Things 00:05:00.649 --> 00:05:04.329 like... Reduced GI symptoms for some consumers, 00:05:04.490 --> 00:05:06.730 maybe better bone health, even benefits for blood 00:05:06.730 --> 00:05:09.089 pressure. Interesting. So all these factors combine 00:05:09.089 --> 00:05:12.790 to create, and this is crucial, brand new high 00:05:12.790 --> 00:05:16.069 value revenue streams for dairy producers. You've 00:05:16.069 --> 00:05:17.709 really hit on a key point there because when 00:05:17.709 --> 00:05:19.709 you combine that science with the financial side, 00:05:19.810 --> 00:05:23.110 the article's projections, it gets incredibly 00:05:23.110 --> 00:05:25.550 compelling. It doesn't shy away from projecting 00:05:25.550 --> 00:05:28.230 access to premium markets. Right. And paying 00:05:28.230 --> 00:05:31.949 what? Paying anywhere from 15 % to 25 % above 00:05:31.949 --> 00:05:34.589 current commodity prices for this kind of specialized 00:05:34.589 --> 00:05:38.490 milk. Wow. 15 % to 25 % premium. And it's not 00:05:38.490 --> 00:05:41.129 just a maybe someday thing. They're talking about 00:05:41.129 --> 00:05:44.490 processors potentially offering significant component 00:05:44.490 --> 00:05:47.709 bonuses specifically for high casein. Like an 00:05:47.709 --> 00:05:50.069 amplified version of what we sometimes see now. 00:05:50.230 --> 00:05:52.269 Exactly. And like you said, it opens up whole 00:05:52.269 --> 00:05:54.730 new customer groups that were, well, off limits 00:05:54.730 --> 00:05:57.269 before. Turning a challenge into a real opportunity. 00:05:57.589 --> 00:05:59.790 Yeah. And the article gets bold with numbers. 00:06:00.029 --> 00:06:03.610 It projects an extra $3 ,000 to $5 ,000 in revenue. 00:06:03.829 --> 00:06:06.930 Per cow. Per cow annually, just from these specialty 00:06:06.930 --> 00:06:11.569 markets. Three to five grand extra per cow per 00:06:11.569 --> 00:06:14.889 year. That's not just a nice bonus. No way. That's 00:06:14.889 --> 00:06:16.550 transformational for a farm's profitability. 00:06:16.949 --> 00:06:19.470 That figure really makes you pause, doesn't it? 00:06:19.569 --> 00:06:21.949 And it raises a really important point for discussion. 00:06:22.290 --> 00:06:24.310 Which is? Well, obviously, regulatory approval 00:06:24.310 --> 00:06:27.389 is key, right? That's a necessary step. Of course. 00:06:27.870 --> 00:06:30.449 Can't sell it if it's not approved. But the article 00:06:30.449 --> 00:06:32.829 really emphasizes that forward -thinking producers, 00:06:33.050 --> 00:06:35.449 they should already be positioning their herds. 00:06:35.470 --> 00:06:38.829 Okay, but hold on. For a farmer listening, hearing 00:06:38.829 --> 00:06:43.529 about designer milk coming in, say, 2026, that 00:06:43.529 --> 00:06:45.170 might still sound a bit like science fiction. 00:06:45.410 --> 00:06:47.709 I get that. How practical is it really to start 00:06:47.709 --> 00:06:50.629 positioning your herd today for markets that 00:06:50.629 --> 00:06:52.939 aren't even fully formed yet? That's a totally 00:06:52.939 --> 00:06:55.699 fair question. And it really speaks to the long 00:06:55.699 --> 00:06:57.800 game of genetics, doesn't it? Genetics is always 00:06:57.800 --> 00:06:59.980 about looking ahead. True. And the article kind 00:06:59.980 --> 00:07:02.259 of implies it's less about buying some fancy 00:07:02.259 --> 00:07:05.000 new tech right now and more about making smarter 00:07:05.000 --> 00:07:08.379 breeding decisions today. Okay. So using the 00:07:08.379 --> 00:07:10.300 tools we already have, but maybe differently. 00:07:10.779 --> 00:07:14.019 Exactly. Like you can start identifying and selecting 00:07:14.019 --> 00:07:18.500 for the genetic markers for. High casein or say 00:07:18.500 --> 00:07:21.680 A2 protein in your current herd. So leveraging 00:07:21.680 --> 00:07:23.639 what's already there. Right. It's not waiting 00:07:23.639 --> 00:07:26.720 for some magic bullet. It's about building that 00:07:26.720 --> 00:07:30.019 genetic foundation now. Using existing genomic 00:07:30.019 --> 00:07:32.660 testing on your heifers. Screening them specifically 00:07:32.660 --> 00:07:36.079 for these traits. Yeah. Prioritizing those heifers 00:07:36.079 --> 00:07:39.279 for breeding. Actively choosing semen from bulls 00:07:39.279 --> 00:07:41.180 known for these qualities. And maybe talking 00:07:41.180 --> 00:07:43.389 to your suppliers. your processor definitely 00:07:43.389 --> 00:07:46.110 engaging with your genetic suppliers your milk 00:07:46.110 --> 00:07:48.730 processor understanding their long -term plans 00:07:48.730 --> 00:07:50.790 their interest in this stuff so you're building 00:07:50.790 --> 00:07:52.790 the genetic side and the market side kind of 00:07:52.790 --> 00:07:55.569 simultaneously that's the idea so when the green 00:07:55.569 --> 00:07:57.350 light eventually comes you're not scrambling 00:07:57.350 --> 00:07:59.550 you're ready to capture that premium from day 00:07:59.550 --> 00:08:02.050 one so it's less about a huge cash outlay right 00:08:02.050 --> 00:08:05.910 now and more a shift in like breeding philosophy 00:08:05.910 --> 00:08:08.750 using data better I think that's a big part of 00:08:08.750 --> 00:08:10.670 it. Of course, there are costs, but it's strategic. 00:08:10.850 --> 00:08:14.509 Are there maybe some lower cost first steps a 00:08:14.509 --> 00:08:16.410 farmer could take? Sort of dip their toe in? 00:08:16.529 --> 00:08:19.529 Yeah, before going all in. Absolutely. The article 00:08:19.529 --> 00:08:22.430 implies that maybe the first and often most impactful 00:08:22.430 --> 00:08:25.649 step for its cost. Compared to robots, say. Right. 00:08:25.689 --> 00:08:28.389 Is robust genomic testing of your replacement 00:08:28.389 --> 00:08:31.949 heifers. Okay, the testing itself. It's an investment, 00:08:32.129 --> 00:08:35.159 sure. But the data you get is incredible for 00:08:35.159 --> 00:08:38.279 making those informed culling and breeding choices. 00:08:38.659 --> 00:08:40.980 It helps you ask. What genetics do I already 00:08:40.980 --> 00:08:43.720 have that fit this future picture? Exactly. So 00:08:43.720 --> 00:08:46.600 you start shaping the herd strategically, not 00:08:46.600 --> 00:08:49.440 reactively. You optimize where you put your feed 00:08:49.440 --> 00:08:52.000 and labor dollars. By only raising the heifers 00:08:52.000 --> 00:08:54.340 with the best shot at these new markets. You 00:08:54.340 --> 00:08:56.720 got it. It's really a foundational step. That 00:08:56.720 --> 00:08:58.919 makes a lot of sense. And, you know, it leads 00:08:58.919 --> 00:09:01.379 us right into the next big theme because we're 00:09:01.379 --> 00:09:04.360 talking genetics. It's not just about what the 00:09:04.360 --> 00:09:06.879 milk is made of. It's also about the health of 00:09:06.879 --> 00:09:09.559 the animal making it. That's just as vital. Right. 00:09:09.850 --> 00:09:11.669 Couldn't agree more. Sick cows don't pay the 00:09:11.669 --> 00:09:13.690 bills. Every farmer knows that instinctively. 00:09:13.850 --> 00:09:17.230 They cost money, treatment, lost milk, extra 00:09:17.230 --> 00:09:20.629 work. Oh, it's tough. Yeah. So the article moves 00:09:20.629 --> 00:09:23.350 smoothly into breeding healthier animals through 00:09:23.350 --> 00:09:27.230 smart genetics. Also looking at that 2025 -2028 00:09:27.230 --> 00:09:30.110 time frame. And what it shows is how genomic 00:09:30.110 --> 00:09:32.950 selection is getting incredibly precise now at 00:09:32.950 --> 00:09:35.279 predicting animal health. It's not just a vague 00:09:35.279 --> 00:09:37.620 health trait anymore. No, it's super targeted. 00:09:37.840 --> 00:09:40.519 Letting farmers proactively manage their herd's 00:09:40.519 --> 00:09:42.779 well -being in ways they couldn't before. And 00:09:42.779 --> 00:09:45.080 that precision is what makes the numbers really 00:09:45.080 --> 00:09:47.440 stand out. Which brings up the question, what 00:09:47.440 --> 00:09:50.299 does scary good, as the article puts it, actually 00:09:50.299 --> 00:09:52.779 mean in dollars and cents for farmers? Yeah, 00:09:52.799 --> 00:09:54.940 what are the tangible savings? Because that's 00:09:54.940 --> 00:09:56.440 the bottom line. Well, the article gives some 00:09:56.440 --> 00:09:59.639 really powerful examples. Take mastitis. Each 00:09:59.639 --> 00:10:04.240 case you avoid saves about $444. $444. And that's 00:10:04.240 --> 00:10:06.899 not just the drug cost, is it? No way. It's lost 00:10:06.899 --> 00:10:09.759 milk, the labor treating her, maybe discarded 00:10:09.759 --> 00:10:12.259 milk, the stress on the cow, the stress on the 00:10:12.259 --> 00:10:14.600 team. It all adds up fast. Preventing even a 00:10:14.600 --> 00:10:16.419 few cases makes a difference. Huge difference. 00:10:16.559 --> 00:10:19.559 And then lameness, another major headache. Preventing 00:10:19.559 --> 00:10:22.840 that stops those brutal 20 % drops in milk production. 00:10:23.120 --> 00:10:25.179 Which can absolutely cripple your income from 00:10:25.179 --> 00:10:28.230 that cow. Right. And some farms using these genomic 00:10:28.230 --> 00:10:30.570 tools, they're already seeing things like 300 00:10:30.570 --> 00:10:33.889 % better mastitis resistance. 300%. That's not 00:10:33.889 --> 00:10:36.289 just tweaking things. No, that's transformative 00:10:36.289 --> 00:10:38.429 herd health management. And we're seeing this 00:10:38.429 --> 00:10:40.769 play out on real farms, right? It's not just 00:10:40.769 --> 00:10:43.889 theory. Absolutely. The article mentions Dave 00:10:43.889 --> 00:10:47.570 Camel in Wisconsin. He uses robotic milking systems. 00:10:47.909 --> 00:10:50.710 Okay. And what's his experience? He reports saving 00:10:50.710 --> 00:10:53.190 three hours of labor every single day. Three 00:10:53.190 --> 00:10:56.049 hours a day. Yeah. And at the same time, his 00:10:56.049 --> 00:10:58.509 cows are healthier because the robots offer more 00:10:58.509 --> 00:11:01.309 frequent, gentler milking, plus that constant 00:11:01.309 --> 00:11:03.769 monitoring. For any farmer listening, three hours 00:11:03.769 --> 00:11:06.769 is... That's huge. That's quality of life, not 00:11:06.769 --> 00:11:09.490 just business. It really is. Time with family, 00:11:09.629 --> 00:11:12.649 maybe catching up on sleep, tackling that... 00:11:12.860 --> 00:11:15.000 Endless repair list. Yeah, we all have one of 00:11:15.000 --> 00:11:16.679 those. And it's not just individual benefits. 00:11:16.860 --> 00:11:19.340 Look at the Casey family farm in Ireland. What 00:11:19.340 --> 00:11:21.600 did they achieve? They cut their overall labor 00:11:21.600 --> 00:11:24.899 needs by 25 % by integrating robotic systems. 00:11:25.600 --> 00:11:28.799 25%. I get huge, especially with labor being 00:11:28.799 --> 00:11:31.340 such a challenge everywhere. Exactly. It's not 00:11:31.340 --> 00:11:33.720 just making cows feel better. It's reducing labor 00:11:33.720 --> 00:11:36.460 demand, improving efficiency. boosting the whole 00:11:36.460 --> 00:11:39.019 operation's profitability. That shift from like 00:11:39.019 --> 00:11:42.460 reactive treatment to proactive prevention using 00:11:42.460 --> 00:11:46.139 genetics and tech. It's really powerful. It is, 00:11:46.139 --> 00:11:48.139 which leads to a really important discussion 00:11:48.139 --> 00:11:51.519 point. How does integrating genetics specifically 00:11:51.519 --> 00:11:55.100 for health? impact the entire farm operation 00:11:55.100 --> 00:11:58.500 beyond just that one sick cow? Thinking bigger 00:11:58.500 --> 00:12:01.379 picture, efficiency, even morale. That's a great 00:12:01.379 --> 00:12:03.279 question. It feels like a domino effect, doesn't 00:12:03.279 --> 00:12:06.019 it? How so? Well, healthier cows mean way less 00:12:06.019 --> 00:12:09.240 vet expense, right? Fewer drug costs, less staff 00:12:09.240 --> 00:12:11.399 time spent treating sick animals. Makes sense. 00:12:11.620 --> 00:12:14.000 And crucially, fewer animals leaving the herd 00:12:14.000 --> 00:12:17.419 too early. That has your replacement costs hard. 00:12:17.700 --> 00:12:20.039 Improves herd longevity. Cows stay productive 00:12:20.039 --> 00:12:23.009 longer. Exactly. Which also boosts the overall 00:12:23.009 --> 00:12:25.710 genetic value of your herd over time because 00:12:25.710 --> 00:12:27.490 you're keeping and breeding from your most resilient 00:12:27.490 --> 00:12:29.570 animals. And the workforce is more efficient 00:12:29.570 --> 00:12:31.909 too, right? Not constantly putting out fires. 00:12:32.190 --> 00:12:35.190 Yeah. It's shifting from reactive to proactive, 00:12:35.429 --> 00:12:37.490 preventative health care, basically built into 00:12:37.490 --> 00:12:39.950 your breeding program. Makes for a much more 00:12:39.950 --> 00:12:42.009 stable and profitable environment. Totally agree. 00:12:42.460 --> 00:12:44.919 Healthier herd, more consistent production, better 00:12:44.919 --> 00:12:47.980 milk quality, maybe even less stress on the farm 00:12:47.980 --> 00:12:50.779 team dealing with sick cows. It's a win all around. 00:12:50.940 --> 00:12:53.379 Creates a much more positive vibe for sure. Okay, 00:12:53.419 --> 00:12:56.460 so speaking of robots and efficiency and the 00:12:56.460 --> 00:12:59.159 brains behind them. Ah, the AI part. Let's talk 00:12:59.159 --> 00:13:01.539 about AI that actually thinks like a dairy cattle 00:13:01.539 --> 00:13:05.600 breeder. also in that 2025 -2028 window. This 00:13:05.600 --> 00:13:07.620 isn't just sci -fi anymore, is it? It's about 00:13:07.620 --> 00:13:10.759 smart systems really taking a central role. Definitely 00:13:10.759 --> 00:13:13.659 not sci -fi. The core idea is that today's AI 00:13:13.659 --> 00:13:16.100 can process just a staggering amount of data, 00:13:16.179 --> 00:13:19.000 over 200 genetic markers, for example. While 00:13:19.000 --> 00:13:22.139 also monitoring cows 247. Yeah, through sensors, 00:13:22.379 --> 00:13:25.009 collars, parlors, maybe even feed bunks. And 00:13:25.009 --> 00:13:27.049 it's not just collecting data. It's analyzing 00:13:27.049 --> 00:13:30.309 it. Learning. Exactly. Robotic milking systems 00:13:30.309 --> 00:13:33.190 are evolving. They learn individual cow preferences. 00:13:33.289 --> 00:13:35.649 They optimize feeding, adjust milking routines 00:13:35.649 --> 00:13:38.690 in real time, making decisions way too complex 00:13:38.690 --> 00:13:40.789 for a human to manage across the whole herd. 00:13:40.909 --> 00:13:42.629 Precisely. It's really a complete operational 00:13:42.629 --> 00:13:45.870 optimization tool. You know, when I read about 00:13:45.870 --> 00:13:48.929 these AI capabilities, what really struck me 00:13:48.929 --> 00:13:52.200 wasn't just the automated milking. but how the 00:13:52.200 --> 00:13:56.080 article frames it as a complete management overhaul. 00:13:56.259 --> 00:13:59.799 How deeply it could change daily farm life. Yeah, 00:13:59.820 --> 00:14:02.419 it goes way beyond just milking. And the tangible 00:14:02.419 --> 00:14:04.759 benefits listed are pretty eye -opening. Like 00:14:04.759 --> 00:14:07.840 the labor savings. Up to a 70 % reduction in 00:14:07.840 --> 00:14:11.559 milking labor costs. 70%. Given the labor shortages, 00:14:11.799 --> 00:14:14.860 that alone is monumental. Absolutely. And beyond 00:14:14.860 --> 00:14:18.419 that, a minimum 15 % boost in milk yields. Why 00:14:18.419 --> 00:14:20.960 higher yields? Because cows can be milked more 00:14:20.960 --> 00:14:22.940 often at times that are optimal for them. Less 00:14:22.940 --> 00:14:25.320 stress, maximizing their natural production. 00:14:25.500 --> 00:14:27.940 Makes sense. And maybe one of the biggest savers, 00:14:28.139 --> 00:14:31.580 disease detection up to a full week before symptoms 00:14:31.580 --> 00:14:34.179 are visible to us. A full week early. That's 00:14:34.179 --> 00:14:36.559 incredible. Almost like a crystal ball for herd 00:14:36.559 --> 00:14:38.639 health. Pretty much. And the data backs it up. 00:14:38.700 --> 00:14:41.279 There was a UK study mentioned. It showed AI 00:14:41.279 --> 00:14:44.220 catching mastitis early enough to save 1 ,500 00:14:44.220 --> 00:14:47.860 euros per case saved. 1 ,500 euros per case saved. 00:14:48.240 --> 00:14:51.100 Just by intervening before it becomes a full 00:14:51.100 --> 00:14:54.240 -blown infection, you save on treatments, lost 00:14:54.240 --> 00:14:57.139 milk, potential udder damage, antibiotic use. 00:14:57.440 --> 00:14:59.720 That's the kind of tech that genuinely pays for 00:14:59.720 --> 00:15:02.519 itself pretty quickly, isn't it? By stopping 00:15:02.519 --> 00:15:05.100 small problems from becoming huge ones. Exactly. 00:15:05.100 --> 00:15:07.440 The numbers are really compelling. Which brings 00:15:07.440 --> 00:15:09.799 us to another key discussion point. Okay. When 00:15:09.799 --> 00:15:12.720 you combine these three areas, the designer milk 00:15:12.720 --> 00:15:16.179 potential, healthier animals via genetics, and 00:15:16.179 --> 00:15:19.120 this smart AI optimizing everything. It paints 00:15:19.120 --> 00:15:21.159 a picture of a radically different dairy farm, 00:15:21.240 --> 00:15:23.720 and really soon. Right. So the question becomes, 00:15:23.960 --> 00:15:26.879 what's the biggest barrier to adoption for the 00:15:26.879 --> 00:15:29.320 average producer listening right now? Good question. 00:15:29.440 --> 00:15:32.460 Is it the upfront cost? The capital investment? 00:15:33.000 --> 00:15:35.120 Or maybe the learning curve. These systems sound 00:15:35.120 --> 00:15:37.360 sophisticated. Or is it just the mindset shift, 00:15:37.500 --> 00:15:41.080 moving from traditional ways to this tech -heavy, 00:15:41.200 --> 00:15:43.639 data -driven approach? That's the million -dollar 00:15:43.639 --> 00:15:45.659 question, isn't it? My gut feeling. It's probably 00:15:45.659 --> 00:15:48.720 a mix of all three for many producers. The cost 00:15:48.720 --> 00:15:50.879 of things like robotics can definitely be daunting, 00:15:51.059 --> 00:15:53.480 especially for smaller farms or those on tight 00:15:53.480 --> 00:15:56.600 margins. For sure. But the article keeps hammering 00:15:56.600 --> 00:15:59.850 that long -term ROI. These are investments, not 00:15:59.850 --> 00:16:02.289 just expenses. That's the key perspective shift. 00:16:02.590 --> 00:16:05.830 True. And the learning curve is real, too. Integrating 00:16:05.830 --> 00:16:09.149 new tech takes training, changing routines. Although 00:16:09.149 --> 00:16:11.149 most tech companies now offer pretty good support 00:16:11.149 --> 00:16:13.429 and training, don't they? Usually, yeah. But 00:16:13.429 --> 00:16:15.269 maybe the biggest hurdle, the most subtle one, 00:16:15.330 --> 00:16:18.149 is that mindset piece. Trusting the algorithm 00:16:18.149 --> 00:16:21.490 as much as your gut? Kind of. Farmers are practical, 00:16:21.610 --> 00:16:24.730 right? Relying on generations of knowledge, hands 00:16:24.730 --> 00:16:27.970 -on experience, moving to rely so heavily on 00:16:27.970 --> 00:16:31.590 data, on automated systems. That's a different 00:16:31.590 --> 00:16:33.570 way of thinking about managing your farm. I agree 00:16:33.570 --> 00:16:35.889 that mindset shift is huge, moving from reacting 00:16:35.889 --> 00:16:39.110 to problems to proactively anticipating and preventing 00:16:39.110 --> 00:16:41.509 them with data. For farmers already stretched 00:16:41.509 --> 00:16:44.029 thin on labor, looking for efficiency for profit. 00:16:44.230 --> 00:16:46.090 The promise of these technologies, especially 00:16:46.090 --> 00:16:48.370 the labor savings, might be the ultimate nudge 00:16:48.370 --> 00:16:51.470 they need. Could be. That 70 % figure is hard 00:16:51.470 --> 00:16:55.529 to ignore. The economic benefits plus maybe a 00:16:55.529 --> 00:16:58.490 better quality of life. Those are powerful drivers. 00:16:58.850 --> 00:17:01.629 Very powerful incentives indeed. Okay, so that 00:17:01.629 --> 00:17:04.130 leads us to the next logical question then. How 00:17:04.130 --> 00:17:06.329 do we take these immediate insights, these near 00:17:06.329 --> 00:17:09.289 -term technologies, and leverage them for the 00:17:09.289 --> 00:17:11.430 next generation, for the future of the herd? 00:17:11.549 --> 00:17:13.289 Right, and that's where the article introduces 00:17:13.289 --> 00:17:16.049 what feels like a real paradigm shift for how 00:17:16.049 --> 00:17:19.029 we manage heifers. Which is? Know your calf's 00:17:19.029 --> 00:17:22.119 future at birth. A medium -term game changer, 00:17:22.299 --> 00:17:25.339 they're saying, expected around 2026 to 2028. 00:17:25.660 --> 00:17:28.259 Know its future at birth. How? Through genomic 00:17:28.259 --> 00:17:31.220 testing on newborn calves. The core idea is this 00:17:31.220 --> 00:17:33.839 testing offers incredible reliability on their 00:17:33.839 --> 00:17:37.480 lifetime breeding values, like 65 % to 80 % reliable. 00:17:37.640 --> 00:17:40.079 65 % to 80 % compared to what we get now just 00:17:40.079 --> 00:17:41.559 from looking at the parents. Which is only about 00:17:41.559 --> 00:17:44.079 20 -25 % reliable. So it's a massive leap in 00:17:44.079 --> 00:17:46.720 accuracy. A much clearer crystal ball into her 00:17:46.720 --> 00:17:48.700 future potential right from day one. Exactly. 00:17:48.700 --> 00:17:51.220 And that increased reliability is the game changer. 00:17:51.319 --> 00:17:54.319 It allows for truly strategic early decision 00:17:54.319 --> 00:17:56.680 making. Okay, so what's the financial angle here? 00:17:56.799 --> 00:17:59.440 What does better reliability actually mean for 00:17:59.440 --> 00:18:02.240 the bottom line? Fundamentally, it's about making 00:18:02.240 --> 00:18:04.980 smarter, earlier choices about your herd's future. 00:18:05.180 --> 00:18:07.599 The Council on Dairy Cattle Breeding, they track, 00:18:07.799 --> 00:18:11.180 what, 49 different traits? Yeah, and they estimate 00:18:11.180 --> 00:18:14.200 lifetime profit. Using the net merit index. Right, 00:18:14.259 --> 00:18:17.259 the net merit index, which for listeners basically 00:18:17.259 --> 00:18:20.059 boils down all that genetic potential, production, 00:18:20.400 --> 00:18:24.500 health, fertility into a single dollar value 00:18:24.500 --> 00:18:27.019 for profitability. Super useful tool. And the 00:18:27.019 --> 00:18:28.660 article gives a concrete example, doesn't it? 00:18:28.700 --> 00:18:31.920 It does. A calf with a $300 breeding value on 00:18:31.920 --> 00:18:35.660 that index, she'll make you $450 more over her 00:18:35.660 --> 00:18:38.480 lifetime compared to one with a negative $150 00:18:38.480 --> 00:18:41.319 value. $450 difference per animal. That's not 00:18:41.319 --> 00:18:43.119 abstract. That's real money you're either making 00:18:43.119 --> 00:18:45.619 or losing based on who you keep. Precisely. And 00:18:45.619 --> 00:18:47.900 the math, as the article says, is pretty simple 00:18:47.900 --> 00:18:50.700 but powerful. Which is? Stop feeding $1 ,400 00:18:50.700 --> 00:18:53.480 to $2 ,000 worth of feed. The cost to raise a 00:18:53.480 --> 00:18:55.779 heifer. To animals that will never pay it back 00:18:55.779 --> 00:18:58.140 over their productive life. That's money straight 00:18:58.140 --> 00:19:00.599 out of your pocket. Yeah. Wasted resources on 00:19:00.599 --> 00:19:02.759 animals that end up being liabilities. Exactly. 00:19:03.079 --> 00:19:06.319 So the strategy becomes crystal clear. Test early. 00:19:06.680 --> 00:19:09.700 Call smart. Invest your precious resources feed, 00:19:09.900 --> 00:19:12.930 housing. Labor in the winners. The heifers with 00:19:12.930 --> 00:19:15.509 the high genetic merit, poised to be profitable 00:19:15.509 --> 00:19:18.910 cows for years. You got it. Focus your efforts 00:19:18.910 --> 00:19:20.789 where they'll actually wield the greatest return. 00:19:21.210 --> 00:19:22.849 And that really flips the script, doesn't it? 00:19:22.890 --> 00:19:25.089 Yeah. From just kind of hoping for the best with 00:19:25.089 --> 00:19:27.470 your heifers. Right. To actively planning for 00:19:27.470 --> 00:19:30.069 profitability right from day one. So what does 00:19:30.069 --> 00:19:32.750 this mean for traditional heifer raising strategies? 00:19:33.150 --> 00:19:34.769 Because this sounds like a complete overhaul 00:19:34.769 --> 00:19:36.849 for a lot of farms. It's a pretty significant 00:19:36.849 --> 00:19:39.349 transformation. Yeah. Instead of just raising 00:19:39.349 --> 00:19:41.930 every heifer calf or maybe keeping the ones whose 00:19:41.930 --> 00:19:44.230 parents looked good on paper. Right. The old 00:19:44.230 --> 00:19:46.750 way. You can now make highly informed decisions 00:19:46.750 --> 00:19:50.369 much, much earlier, like at birth. And the impact 00:19:50.369 --> 00:19:53.009 of that is? Much more efficient use of resources 00:19:53.009 --> 00:19:56.170 across the whole farm. You can likely reduce 00:19:56.170 --> 00:19:58.309 the number of heifers you need to raise. Which 00:19:58.309 --> 00:20:02.369 immediately cuts feed costs, housing costs, frees 00:20:02.369 --> 00:20:05.549 up labor. Dramatically. And it also means you 00:20:05.549 --> 00:20:08.210 accelerate genetic progress in your herd way 00:20:08.210 --> 00:20:10.450 faster. Because you're only keeping and breeding 00:20:10.450 --> 00:20:13.160 the best of the best. Ensuring each generation 00:20:13.160 --> 00:20:15.720 is truly better. Exactly. It's not just about 00:20:15.720 --> 00:20:17.380 calling the bottom end. It's about optimizing 00:20:17.380 --> 00:20:19.779 your entire replacement strategy for maximum 00:20:19.779 --> 00:20:22.299 efficiency and profit. Sounds like a really powerful 00:20:22.299 --> 00:20:24.400 way to shape your herd's future. Definitely. 00:20:24.440 --> 00:20:26.440 And speaking of shaping the future and tackling 00:20:26.440 --> 00:20:28.480 longstanding challenges. Uh -oh, what's next? 00:20:28.839 --> 00:20:31.640 Finally fixing fertility issues. Expected around 00:20:31.640 --> 00:20:35.279 2027, 2030. Now, that is a bold claim. Yeah, 00:20:35.359 --> 00:20:37.940 finally fixing fertility. That's been a tough 00:20:37.940 --> 00:20:41.750 nut to crack for dairy genetics for... It really 00:20:41.750 --> 00:20:44.730 has. Partly due to low heritability, it's just 00:20:44.730 --> 00:20:47.589 not strongly cast down, and partly due to, well, 00:20:47.750 --> 00:20:51.069 a lack of really robust data sometimes. So what's 00:20:51.069 --> 00:20:53.650 changing? How are we finally fixing it? The core 00:20:53.650 --> 00:20:56.269 idea now is combining advanced reproductive tech 00:20:56.269 --> 00:20:59.230 things, like better AI protocols, maybe hormonal 00:20:59.230 --> 00:21:02.390 therapies, with that increasingly precise genomic 00:21:02.390 --> 00:21:04.250 selection we've been talking about. Putting those 00:21:04.250 --> 00:21:06.170 two together is starting to make a real difference. 00:21:06.490 --> 00:21:09.109 And what's fascinating here again is how... Even 00:21:09.109 --> 00:21:11.569 seemingly small improvements in fertility numbers 00:21:11.569 --> 00:21:14.390 can translate into huge savings. The financial 00:21:14.390 --> 00:21:16.670 impact is pretty profound. The article points 00:21:16.670 --> 00:21:18.730 out that just a five -day improvement in the 00:21:18.730 --> 00:21:20.869 average calving interval. It's five days shorter. 00:21:21.109 --> 00:21:26.049 Saves a 1 ,000 cow dairy about $17 ,500 a year. 00:21:26.289 --> 00:21:28.789 17 and a half grand just for five days. Wow. 00:21:29.240 --> 00:21:31.880 Think about the cumulative effect. And then if 00:21:31.880 --> 00:21:34.559 you can boost your 21 -day pregnancy rate, say, 00:21:34.720 --> 00:21:38.680 from a typical 12 % up to a much healthier 33%. 00:21:38.680 --> 00:21:41.200 Which is achievable with focus. You can slash 00:21:41.200 --> 00:21:44.759 calving intervals by a massive 63 days. 63 days. 00:21:44.900 --> 00:21:47.119 That's over two months. And remember, each new 00:21:47.119 --> 00:21:49.119 pregnancy itself is valued somewhere between 00:21:49.119 --> 00:21:52.279 $100 and $500, depending on milk prices, heifer 00:21:52.279 --> 00:21:55.339 values, your farm costs. When you multiply that 00:21:55.339 --> 00:21:58.000 across a whole herd over a year. Yeah. Those 00:21:58.000 --> 00:22:00.160 dollars. add up incredibly fast. It's a huge 00:22:00.160 --> 00:22:02.539 lever for profit. Absolutely. So this clearly 00:22:02.539 --> 00:22:04.839 isn't just about, you know, getting cows pregnant 00:22:04.839 --> 00:22:07.019 eventually. No, it's optimizing the whole reproductive 00:22:07.019 --> 00:22:09.140 cycle, isn't it? And thinking about its massive 00:22:09.140 --> 00:22:12.079 impact on herd efficiency and farm income. For 00:22:12.079 --> 00:22:15.500 sure. How does this connect back to, say, labor 00:22:15.500 --> 00:22:18.660 savings or even overall herd health beyond just 00:22:18.660 --> 00:22:21.400 the direct fertility numbers? Well, it seems 00:22:21.400 --> 00:22:24.200 deeply connected. Better fertility means fewer 00:22:24.200 --> 00:22:27.599 days open per cow. Right. Which means a more 00:22:27.599 --> 00:22:30.259 consistent lactation curve, more predictable 00:22:30.259 --> 00:22:33.059 milk flow across the herd. That simplifies management 00:22:33.059 --> 00:22:35.859 and planning. Okay. Makes sense. And critically, 00:22:36.079 --> 00:22:38.319 it cuts down the time and effort spent just on 00:22:38.319 --> 00:22:41.519 breeding management. Fewer rebreedings, fewer 00:22:41.519 --> 00:22:44.220 vet checks for problem cows, less time maybe 00:22:44.220 --> 00:22:46.440 on heat detection. Which can be a huge labor 00:22:46.440 --> 00:22:48.740 drain. Exactly. So direct labor savings there. 00:22:49.319 --> 00:22:52.200 Plus, cows that get pregnant efficiently and 00:22:52.200 --> 00:22:55.150 predictably. They tend to be healthier overall, 00:22:55.329 --> 00:22:57.309 don't they? Less stress on their system from 00:22:57.309 --> 00:22:59.269 repeated breeding attempts or being open too 00:22:59.269 --> 00:23:01.990 long. Yeah. It likely impacts their longevity, 00:23:02.309 --> 00:23:05.130 their well -being. It feels like a holistic improvement 00:23:05.130 --> 00:23:07.710 that just ripples through the whole farm's efficiency 00:23:07.710 --> 00:23:10.289 and financial health. A really virtuous cycle. 00:23:10.549 --> 00:23:12.369 Now let's tackle the big one. Yeah. The single 00:23:12.369 --> 00:23:14.470 largest variable expense on pretty much every 00:23:14.470 --> 00:23:17.410 dairy farm. Gotta be feed costs. The article 00:23:17.410 --> 00:23:20.269 promises feed efficiency that actually matters, 00:23:20.450 --> 00:23:24.569 looking out to 2027 -2030. And feed usually eats 00:23:24.569 --> 00:23:27.650 up, what, 50, 60 percent of the milking herd's 00:23:27.650 --> 00:23:30.369 variable expenses? Easily. So even small improvements 00:23:30.369 --> 00:23:33.089 here can be absolutely transformational for a 00:23:33.089 --> 00:23:36.250 dairy's bottom line. So the core idea is, through 00:23:36.250 --> 00:23:38.910 advanced genetic selection, specifically for... 00:23:39.099 --> 00:23:42.099 feed conversion efficiency, even a modest bump 00:23:42.099 --> 00:23:44.140 makes a huge difference. That's the promise. 00:23:44.599 --> 00:23:46.559 Significant savings. And if we connect this to 00:23:46.559 --> 00:23:48.700 the bigger picture, feed efficiency isn't just 00:23:48.700 --> 00:23:50.799 about saving money on your inputs, right? No, 00:23:50.839 --> 00:23:52.579 it ties directly into those environmental goals, 00:23:52.640 --> 00:23:54.480 too. It actually lets you turn environmental 00:23:54.480 --> 00:23:56.819 stewardship into a profit center. Okay, how? 00:23:57.140 --> 00:23:59.059 Let's top numbers. What kind of savings are we 00:23:59.059 --> 00:24:00.759 looking at? The article projects some really 00:24:00.759 --> 00:24:02.559 substantial figures. It estimates that just a 00:24:02.559 --> 00:24:05.519 5 % to 15 % improvement in feed conversion efficiency. 00:24:05.859 --> 00:24:08.259 Which sounds modest, maybe achievable. Could 00:24:08.259 --> 00:24:12.640 lead to $87 ,500 to nearly $400 ,000 in annual 00:24:12.640 --> 00:24:16.440 savings for a 1 ,000 cow operation. Whoa. $87 00:24:16.440 --> 00:24:18.539 ,000 to almost $400 ,000 back in your pocket. 00:24:18.660 --> 00:24:20.559 Just from getting more milk out of less feed. 00:24:21.039 --> 00:24:23.180 Making your operation leaner, more resilient. 00:24:23.579 --> 00:24:25.859 That's a staggering amount. And here's where 00:24:25.859 --> 00:24:27.980 that environmental link gets really powerful 00:24:27.980 --> 00:24:30.160 and potentially opens up new revenue streams, 00:24:30.319 --> 00:24:32.440 too. Okay. New feed additives are coming out. 00:24:32.500 --> 00:24:35.180 The article mentions one from Ruminate showing, 00:24:35.380 --> 00:24:40.359 get this, 95 .2 % methane reductions. 95 % reduction 00:24:40.359 --> 00:24:43.240 in methane without hurting milk production. Apparently 00:24:43.240 --> 00:24:46.259 so. Yeah. That's a massive win -win. Good for 00:24:46.259 --> 00:24:49.140 profits. Good for the planet. Addresses those 00:24:49.140 --> 00:24:51.960 consumer and regulatory pressures head on. Huge. 00:24:52.440 --> 00:24:54.200 And we're seeing examples like those Massachusetts 00:24:54.200 --> 00:24:56.920 dairy farms using anaerobic digesters. Turning 00:24:56.920 --> 00:24:59.660 manure into energy. Yeah. Offsetting millions 00:24:59.660 --> 00:25:02.839 of pounds of CO2 annually, powering homes. And 00:25:02.839 --> 00:25:05.539 in Europe, some farms are earning 12 ,000 euros 00:25:05.539 --> 00:25:09.000 a year in carbon credit subsidies. 12 ,000 euros 00:25:09.000 --> 00:25:11.779 annually just for reducing their footprint. Just 00:25:11.779 --> 00:25:13.859 by doing things that often make them more efficient 00:25:13.859 --> 00:25:16.940 anyway. It shows environmental stewardship is 00:25:16.940 --> 00:25:19.819 shifting from being just a cost to a real financial 00:25:19.819 --> 00:25:22.619 opportunity. That creates this really powerful 00:25:22.619 --> 00:25:25.119 synergy, doesn't it? Economic efficiency and 00:25:25.119 --> 00:25:27.920 environmental responsibility hand in hand. Definitely. 00:25:28.579 --> 00:25:31.059 Which leads to a critical discussion point. Are 00:25:31.059 --> 00:25:33.519 farmers ready? Yeah. Are farmers ready to view 00:25:33.519 --> 00:25:36.839 net zero not just as a burden or a PR exercise, 00:25:37.000 --> 00:25:40.680 but as a genuine profit opportunity? The article 00:25:40.680 --> 00:25:43.190 seems to argue they have to be. I think the article 00:25:43.190 --> 00:25:45.390 doesn't just say they should be ready. It builds 00:25:45.390 --> 00:25:48.029 a strong case for why they will be ready. It's 00:25:48.029 --> 00:25:50.710 driven by these real financial incentives. The 00:25:50.710 --> 00:25:53.450 old view of green initiatives as just an added 00:25:53.450 --> 00:25:57.890 cost, that's fading fast. It has to. When you 00:25:57.890 --> 00:26:00.630 can cut your single biggest expense feed by making 00:26:00.630 --> 00:26:03.529 cows more efficient and potentially qualify for 00:26:03.529 --> 00:26:06.049 carbon credits or processor premiums at the same 00:26:06.049 --> 00:26:08.430 time. The whole calculation changes. Completely. 00:26:08.509 --> 00:26:10.809 It's recognizing that what's good for the planet 00:26:10.809 --> 00:26:13.730 can directly boost your bottom line. Lower input 00:26:13.730 --> 00:26:17.150 costs, new revenue from carbon markets, maybe 00:26:17.150 --> 00:26:19.430 premiums from buyers who value sustainability. 00:26:19.529 --> 00:26:21.930 It's a fundamental shift in perspective that 00:26:21.930 --> 00:26:23.950 smart farmers are already making or definitely 00:26:23.950 --> 00:26:26.099 need to start thinking about seriously. It really 00:26:26.099 --> 00:26:28.980 is about seeing sustainability as a competitive 00:26:28.980 --> 00:26:32.299 advantage, not just a chore. Okay, so we've covered 00:26:32.299 --> 00:26:35.180 a lot of the science, the potential. It's exciting 00:26:35.180 --> 00:26:37.440 stuff. But how do you translate all this from, 00:26:37.519 --> 00:26:40.859 you know, science to sales pitch? Ah, making 00:26:40.859 --> 00:26:43.160 it real for the farmer on the ground. Exactly. 00:26:43.160 --> 00:26:46.099 The article brings in Juan Moreno from SD Genetics, 00:26:46.180 --> 00:26:49.000 who seems to have really cracked this code. Yeah, 00:26:49.059 --> 00:26:52.549 his approach is interesting. His core idea. Focus 00:26:52.549 --> 00:26:55.630 purely on the dollars and cents, tangible benefits, 00:26:55.930 --> 00:26:59.009 measurable ROI. Not getting lost in the complex 00:26:59.009 --> 00:27:01.789 genomics or the abstract markers. Right. Speak 00:27:01.789 --> 00:27:04.089 the farmer's language. And he gives some great, 00:27:04.210 --> 00:27:07.269 clear examples. Like what? Like how a simple 00:27:07.269 --> 00:27:10.930 $30 genomic test can save a farmer $1 ,400. $1 00:27:10.930 --> 00:27:13.660 ,400. Just by helping them avoid raising the 00:27:13.660 --> 00:27:15.920 wrong heifer, that unproductive one that will 00:27:15.920 --> 00:27:18.640 never earn back her feed and labor costs, it's 00:27:18.640 --> 00:27:21.079 about preventing a future loss, framed very simply. 00:27:21.279 --> 00:27:23.160 Okay, that's clear. And his ecofeed technology 00:27:23.160 --> 00:27:25.799 example, he says it saves 10 % on feed costs, 00:27:25.839 --> 00:27:28.339 but then immediately connects it. Feed is 55 00:27:28.339 --> 00:27:31.859 % of your animal operating expenses. So he frames 00:27:31.859 --> 00:27:35.299 it in terms that instantly hit home on the balance 00:27:35.299 --> 00:27:37.660 sheet. It's not just a percentage. It's about 00:27:37.660 --> 00:27:40.500 your costs. Exactly. It resonates. And what's 00:27:40.500 --> 00:27:43.059 also fascinating about his approach, beyond just 00:27:43.059 --> 00:27:46.480 the numbers, is his emphasis on customized solutions. 00:27:46.859 --> 00:27:49.839 He gets that it's not one size fits all. Right. 00:27:49.920 --> 00:27:52.440 A grass -based farm in New Zealand is totally 00:27:52.440 --> 00:27:55.079 different from a big confinement operation in 00:27:55.079 --> 00:27:57.059 Wisconsin. Different climate, different grazing, 00:27:57.200 --> 00:27:58.940 different markets, different priorities, different 00:27:58.940 --> 00:28:02.500 economics. Exactly. So technology adoption has 00:28:02.500 --> 00:28:04.690 to be tailored. It needs to fit the specific 00:28:04.690 --> 00:28:07.369 needs, the infrastructure, the long -term goals 00:28:07.369 --> 00:28:11.049 of that individual farm. Which highlights a really 00:28:11.049 --> 00:28:13.369 crucial point for every farmer listening, doesn't 00:28:13.369 --> 00:28:15.529 it? What's that? The importance of truly understanding 00:28:15.529 --> 00:28:18.549 your own farm's unique context before jumping 00:28:18.549 --> 00:28:21.470 on any new technology bandwagon. Absolutely critical. 00:28:21.710 --> 00:28:24.289 How does a farmer actually do that? Assess their 00:28:24.289 --> 00:28:26.549 own operation to make the right choices for them? 00:28:26.730 --> 00:28:28.950 Well, it's not about just grabbing the shiniest 00:28:28.950 --> 00:28:31.490 new toy. It's about strategic integration. You've 00:28:31.490 --> 00:28:33.769 got to start... By really assessing your current 00:28:33.769 --> 00:28:36.009 challenges. Like, what's your biggest pain point 00:28:36.009 --> 00:28:40.769 right now? Labor. Feed costs. Market access. 00:28:41.250 --> 00:28:44.509 Exactly. Then look realistically at your existing 00:28:44.509 --> 00:28:47.250 setup. Can your barns, your parlor, your land 00:28:47.250 --> 00:28:49.849 actually support a new system? Or does it need 00:28:49.849 --> 00:28:53.029 a huge extra investment? Good point. Infrastructure 00:28:53.029 --> 00:28:56.650 matters. And, maybe most importantly, what are 00:28:56.650 --> 00:28:59.130 your long -term goals? Are you shooting for max 00:28:59.130 --> 00:29:02.509 volume? premium quality, being a sustainability 00:29:02.509 --> 00:29:05.990 leader, or just simplifying operations. Defining 00:29:05.990 --> 00:29:08.430 those goals clearly. Yeah. Once you define those 00:29:08.430 --> 00:29:10.069 things, you can filter through all the emerging 00:29:10.069 --> 00:29:12.609 tech and pinpoint what genuinely fits your operation 00:29:12.609 --> 00:29:15.730 and offers the best potential ROI for you. It's 00:29:15.730 --> 00:29:18.029 about being purposeful with innovation. That 00:29:18.029 --> 00:29:19.789 makes a lot of sense. Be strategic, not just 00:29:19.789 --> 00:29:22.150 reactive. And building on that idea, turning 00:29:22.150 --> 00:29:24.609 challenges into opportunities. The article talks 00:29:24.609 --> 00:29:26.930 about making net zero actually make sense. Right. 00:29:26.990 --> 00:29:29.230 Encouraging that mindset shift again. seeing 00:29:29.230 --> 00:29:31.869 environmental goals not as cost, but as potential 00:29:31.869 --> 00:29:34.349 profit centers. Because the core idea is those 00:29:34.349 --> 00:29:36.750 environmental benefits, like better feed conversion. 00:29:37.049 --> 00:29:39.009 Which we just talked about. They don't just lower 00:29:39.009 --> 00:29:41.349 your carbon footprint. They cut methane, and 00:29:41.349 --> 00:29:43.390 they cut your biggest expense feed. It's a direct 00:29:43.390 --> 00:29:45.789 link. Same with water conservation. Looks good 00:29:45.789 --> 00:29:48.269 to regulators, looks good to consumers, and it 00:29:48.269 --> 00:29:51.349 can also slash your water bills by up to 30%. 00:29:51.349 --> 00:29:54.769 It's a true dual benefit. Good stewardship directly 00:29:54.769 --> 00:29:57.230 hitting the bottom line. But this raises a practical 00:29:57.230 --> 00:30:00.680 question again. What tangible support or incentives 00:30:00.680 --> 00:30:03.359 are actually out there for farmers who want to 00:30:03.359 --> 00:30:06.440 pursue these goals? The long -term benefits are 00:30:06.440 --> 00:30:09.640 clear, but upfront costs can be tough, especially 00:30:09.640 --> 00:30:12.480 for smaller farms. That's fair. And the good 00:30:12.480 --> 00:30:15.019 news is, the article points to some significant 00:30:15.019 --> 00:30:17.900 opportunities. The USDA, for example. They're 00:30:17.900 --> 00:30:21.339 allocating a massive $7 .7 billion for climate 00:30:21.339 --> 00:30:24.119 smart practices. $7 .7 billion. That's a huge 00:30:24.119 --> 00:30:26.900 cot of money. It is. designed specifically to 00:30:26.900 --> 00:30:29.079 help farmers adopt sustainable methods, make 00:30:29.079 --> 00:30:31.640 these transitions more affordable, and beyond 00:30:31.640 --> 00:30:34.140 government programs. We're seeing this growing 00:30:34.140 --> 00:30:36.259 trend where processors are actually starting 00:30:36.259 --> 00:30:38.759 to pay premiums for verified farm sustainability 00:30:38.759 --> 00:30:41.779 data. So if you can prove lower emissions, better 00:30:41.779 --> 00:30:45.839 water use, maybe reduced antibiotic use. your 00:30:45.839 --> 00:30:48.140 milk could actually fetch a higher price. That's 00:30:48.140 --> 00:30:50.500 the emerging reality. As the article puts it, 00:30:50.579 --> 00:30:52.799 smart farmers are figuring out how to get paid 00:30:52.799 --> 00:30:54.460 for doing what they should probably be doing 00:30:54.460 --> 00:30:56.759 anyway, making their operations more efficient 00:30:56.759 --> 00:31:00.000 and environmentally sound. It's about aligning 00:31:00.000 --> 00:31:03.160 those economic incentives with ecological responsibility. 00:31:03.500 --> 00:31:06.380 Exactly. Strategic alignment. Doing good for 00:31:06.380 --> 00:31:08.839 the planet can genuinely be good for the pocketbook. 00:31:09.000 --> 00:31:11.700 It's moving beyond just compliance to finding 00:31:11.700 --> 00:31:14.660 real competitive advantage. Okay. It's one thing 00:31:14.660 --> 00:31:16.960 to talk about potential, the projections. But 00:31:16.960 --> 00:31:19.299 does it work in the real world? Exactly. The 00:31:19.299 --> 00:31:21.500 article gives us real -world results you can 00:31:21.500 --> 00:31:23.759 actually believe. These aren't just hypotheticals. 00:31:23.759 --> 00:31:26.269 They're happening now. on farms. Like the Korean 00:31:26.269 --> 00:31:28.710 robotic success story? Yeah, tell us about that. 00:31:28.910 --> 00:31:31.609 Dairy farms in Korea using robotic systems saw 00:31:31.609 --> 00:31:35.569 on average 2 .44 to 2 .88 kilos more milk per 00:31:35.569 --> 00:31:38.009 cow per day. More milk, okay. Anything else? 00:31:38.190 --> 00:31:40.990 On top of that, they produced 0 .1 to 0 .11 more 00:31:40.990 --> 00:31:44.029 calves per cow annually. More calves too. And 00:31:44.029 --> 00:31:47.460 as we discussed, huge labor savings. Especially 00:31:47.460 --> 00:31:49.660 crucial for smaller family operations where every 00:31:49.660 --> 00:31:52.240 hour counts towards quality of life and just 00:31:52.240 --> 00:31:54.579 staying viable. That really demonstrates measurable 00:31:54.579 --> 00:31:56.960 commercial results, doesn't it? More milk is 00:31:56.960 --> 00:31:59.640 great, but more calves too. That ripples through 00:31:59.640 --> 00:32:03.680 herd expansion, sales, overall viability. Absolutely. 00:32:03.940 --> 00:32:06.279 And then there's the Welsh genomic testing win. 00:32:06.799 --> 00:32:09.480 Equally compelling. What happened in Wales? Farmers 00:32:09.480 --> 00:32:12.039 there genomically tested their heifers and found 00:32:12.039 --> 00:32:15.420 that a staggering 23%. Nearly quarter. Would 00:32:15.420 --> 00:32:18.220 have been kept using the old ways, visual checks, 00:32:18.319 --> 00:32:20.440 parent records, but should have been called based 00:32:20.440 --> 00:32:22.740 on their low genetic potential revealed by the 00:32:22.740 --> 00:32:27.240 test. Wow. Imagine the feed, labor. Time wasted 00:32:27.240 --> 00:32:29.420 on raising those unproductive animals. Exactly. 00:32:29.740 --> 00:32:32.519 The study calculated the net benefit, even after 00:32:32.519 --> 00:32:35.599 paying for the test, was 19 pounds 39 per heifer. 00:32:35.660 --> 00:32:37.839 Almost 20 quid per head. And that compounds fast, 00:32:38.140 --> 00:32:40.759 right? Across the whole herd over multiple generations, 00:32:41.079 --> 00:32:43.920 it's clear proof that smart culling saves real 00:32:43.920 --> 00:32:46.500 money and speeds up genetic progress. These examples 00:32:46.500 --> 00:32:48.799 are really powerful. They show this isn't just 00:32:48.799 --> 00:32:52.660 future gazing. Not at all. So what do these case 00:32:52.660 --> 00:32:55.500 studies tell us about the pace of adoption? What 00:32:55.500 --> 00:32:57.859 might push other farmers to make these kinds 00:32:57.859 --> 00:33:01.140 of big shifts? Well, they tell us pretty unequivocally, 00:33:01.140 --> 00:33:04.539 this stuff isn't some distant dream. It's happening 00:33:04.539 --> 00:33:07.400 now for those willing to embrace change. The 00:33:07.400 --> 00:33:10.160 benefits are measurable, tangible, significant. 00:33:10.599 --> 00:33:12.839 Providing strong incentives for others to follow. 00:33:12.940 --> 00:33:15.059 Exactly. These aren't just isolated cases. They're 00:33:15.059 --> 00:33:17.839 blueprints for success. They show that early 00:33:17.839 --> 00:33:20.299 adopters really do gain a significant competitive 00:33:20.299 --> 00:33:24.339 edge efficiency, profit, sustainability. So what 00:33:24.339 --> 00:33:27.559 prompts the shift? Is it just profit? I think 00:33:27.559 --> 00:33:29.400 it's more than just the promise of profit. It's 00:33:29.400 --> 00:33:32.140 the demonstrable proof that these systems work, 00:33:32.279 --> 00:33:34.680 that they pay for themselves, and that they can 00:33:34.680 --> 00:33:36.859 fundamentally change a farm's future for the 00:33:36.859 --> 00:33:39.559 better. Seeing your peers succeed makes you realize 00:33:39.559 --> 00:33:41.839 standing still isn't really an option anymore. 00:33:42.220 --> 00:33:45.019 Exactly. Not in such a rapidly evolving industry. 00:33:45.480 --> 00:33:47.460 That's a fantastic summary of all the insights 00:33:47.460 --> 00:33:49.559 we've pulled from the article. So after all that, 00:33:49.700 --> 00:33:52.240 what's the absolute key takeaway for a farmer 00:33:52.240 --> 00:33:54.119 listening right now? Well, the article does a 00:33:54.119 --> 00:33:56.420 great job boiling it down. It gives some excellent 00:33:56.420 --> 00:33:59.000 key takeaways and even lays out an implementation 00:33:59.000 --> 00:34:01.640 roadmap, which I think really brings it all together 00:34:01.640 --> 00:34:03.579 nicely. OK, let's hit those key takeaways. What's 00:34:03.579 --> 00:34:06.180 number one? Number one, and maybe the most fundamental 00:34:06.180 --> 00:34:09.679 shift needed, is to challenge the volume over 00:34:09.679 --> 00:34:12.760 value orthodoxy. OK, stop chasing just pounds 00:34:12.760 --> 00:34:16.150 or liters. For too long. The focus has been purely 00:34:16.150 --> 00:34:19.989 on volume, but the article makes it clear. Precision 00:34:19.989 --> 00:34:23.070 genetics for milk composition. Like A2 markets, 00:34:23.349 --> 00:34:27.409 or boosting that casein by 1735%, can deliver 00:34:27.409 --> 00:34:30.429 an incredible $3 ,000 to $5 ,000 extra annual 00:34:30.429 --> 00:34:33.329 revenue per cow. That proves it, right? Composition 00:34:33.329 --> 00:34:35.829 can now drive profit even more than sheer volume, 00:34:36.050 --> 00:34:39.170 maximize the value of every drop. Exactly. Okay, 00:34:39.250 --> 00:34:41.349 takeaway number two directly hits that labor 00:34:41.349 --> 00:34:43.869 crisis we keep mentioning. Implement AI -powered 00:34:43.869 --> 00:34:47.409 precision, to cut labor by 70 percent 70 that's 00:34:47.409 --> 00:34:50.190 massive robotic systems with predictive analytics 00:34:50.190 --> 00:34:52.849 can slash those milking labor costs huge when 00:34:52.849 --> 00:34:55.210 labor is scarce and pricey and at the same time 00:34:55.210 --> 00:34:58.130 they boost milk yields by at least 15 that's 00:34:58.130 --> 00:35:00.909 22 to 25 liters daily per cow because of better 00:35:00.909 --> 00:35:03.500 milking frequency and less stress Plus, that 00:35:03.500 --> 00:35:05.619 early mastitis detection saves potentially 1 00:35:05.619 --> 00:35:08.900 ,500 euro per case. It tackles labor and boosts 00:35:08.900 --> 00:35:11.000 health and efficiency. Win, win, win. Okay. Number 00:35:11.000 --> 00:35:13.940 three focuses on smarter resource use. Leverage 00:35:13.940 --> 00:35:16.320 genomic testing for strategic culling decisions. 00:35:16.719 --> 00:35:19.559 Right. That early life test gives you 65 -70 00:35:19.559 --> 00:35:22.460 % reliability on breeding value, way up from 00:35:22.460 --> 00:35:25.519 the old 20 -25 % from parent averages. Which 00:35:25.519 --> 00:35:27.880 means you spot those low potential animals before 00:35:27.880 --> 00:35:30.980 sinking $1 ,400 to $2 ,000 in feed costs to raise 00:35:30.980 --> 00:35:33.929 them. Exactly. The math is clear. A $300 net 00:35:33.929 --> 00:35:37.949 merit calf makes $450 more lifetime profit than 00:35:37.949 --> 00:35:40.429 a negative $150 one. It's about smart resource 00:35:40.429 --> 00:35:43.289 allocation, maximizing ROI on every animal. Makes 00:35:43.289 --> 00:35:45.269 perfect sense. What's the fourth takeaway? This 00:35:45.269 --> 00:35:47.420 one targets your biggest expense. Optimize total 00:35:47.420 --> 00:35:49.519 farm feed efficiency for maximum cost savings. 00:35:49.679 --> 00:35:52.360 Feed, yeah, 50 -60 % of variable costs. So genetic 00:35:52.360 --> 00:35:54.400 selection for feed conversion efficiency, even 00:35:54.400 --> 00:35:56.940 modest 5 -15 % improvements. Can deliver that 00:35:56.940 --> 00:36:02.539 stunning $87 ,500 to $393 ,750 in annual savings 00:36:02.539 --> 00:36:06.199 for a 1 ,000 cow herd. And importantly, it opens 00:36:06.199 --> 00:36:09.260 the door to carbon credit revenue streams, maybe 00:36:09.260 --> 00:36:12.960 $12 ,000 a year, through methane reduction. Powerful 00:36:12.960 --> 00:36:17.280 double win. Wallet and plant. Great point. And 00:36:17.280 --> 00:36:19.599 the final takeaway. A crucial call to action. 00:36:20.400 --> 00:36:23.179 Adopt global success models over traditional 00:36:23.179 --> 00:36:25.599 approaches. Learn from those who are already 00:36:25.599 --> 00:36:28.559 doing it successfully elsewhere. Precisely. Look 00:36:28.559 --> 00:36:30.539 at New Zealand, getting years ahead in genetic 00:36:30.539 --> 00:36:33.260 progress with female genomic selection and sex 00:36:33.260 --> 00:36:36.269 semen. Look at Korea. boosting daily production 00:36:36.269 --> 00:36:38.909 by kilos, and getting more calves per cow with 00:36:38.909 --> 00:36:41.389 robotics. These aren't theories. They're real 00:36:41.389 --> 00:36:43.610 -world examples proving these integrated systems 00:36:43.610 --> 00:36:46.190 deliver measurable results that transform farm 00:36:46.190 --> 00:36:49.030 economics. Blueprints for success. Absolutely. 00:36:49.329 --> 00:36:51.789 That's a fantastic summary of the core insights. 00:36:52.090 --> 00:36:54.250 And for anyone listening now thinking, okay, 00:36:54.289 --> 00:36:56.210 that's a lot. Where do I even start? Yeah, how 00:36:56.210 --> 00:36:57.929 do you actually implement this? The article provides 00:36:57.929 --> 00:37:00.590 a clear implementation roadmap, breaking it down 00:37:00.590 --> 00:37:03.489 into manageable phases. which is really helpful. 00:37:03.670 --> 00:37:05.329 Okay, walk us through it. What's the first phase? 00:37:05.570 --> 00:37:08.349 First is the start now phase, basically 2025 00:37:08.349 --> 00:37:13.789 -2026. Step one, no excuses, begin genomic testing 00:37:13.789 --> 00:37:16.510 on your replacement heifers. Get that data flowing. 00:37:16.710 --> 00:37:19.730 Foundational. What else? Step two, make sure 00:37:19.730 --> 00:37:22.050 you explicitly include health trait selection 00:37:22.050 --> 00:37:24.670 in your breeding program. Don't just focus on 00:37:24.670 --> 00:37:27.050 production. Right. Breed for resilience. And 00:37:27.050 --> 00:37:30.130 third, start using basic sensors. Monitor cow 00:37:30.130 --> 00:37:33.579 and heifer performance, behavior, health. Even 00:37:33.579 --> 00:37:35.599 simple sensors give you crucial data to make 00:37:35.599 --> 00:37:38.460 better decisions. These are relatively low -cost, 00:37:38.519 --> 00:37:40.780 high -impact starting points. Okay, that sounds 00:37:40.780 --> 00:37:43.019 achievable. What's the next phase? The next phase 00:37:43.019 --> 00:37:46.900 runs from 2026 -2028. This is where you seriously 00:37:46.900 --> 00:37:49.500 consider installing robotic systems. If the numbers, 00:37:49.639 --> 00:37:52.000 the labor savings pencil out for your specific 00:37:52.000 --> 00:37:54.869 operation. Not a must -do for everyone, but evaluate 00:37:54.869 --> 00:37:57.409 it seriously. Exactly. Also in this phase, start 00:37:57.409 --> 00:37:59.650 incorporating feed conversion efficiency genetics 00:37:59.650 --> 00:38:02.190 into your selection criteria. Building on the 00:38:02.190 --> 00:38:05.170 feed savings potential. Crucially, really advance 00:38:05.170 --> 00:38:06.849 your reproductive performance and management 00:38:06.849 --> 00:38:09.030 by using that genomic data you started collecting. 00:38:09.250 --> 00:38:12.150 Don't just collect it, apply it. Okay, deeper 00:38:12.150 --> 00:38:15.190 integration, optimizing core areas. Makes sense. 00:38:15.429 --> 00:38:18.579 And the long -term. The long -term play. Looking 00:38:18.579 --> 00:38:22.260 out to 2028 -2030. The goal here is implementing 00:38:22.260 --> 00:38:25.019 full precision farming integration across the 00:38:25.019 --> 00:38:27.320 entire operation. Connecting all the pieces, 00:38:27.599 --> 00:38:30.099 AI, data, genetics, working together seamlessly. 00:38:30.500 --> 00:38:33.380 That's the vision. Also, actively enrolling carbon 00:38:33.380 --> 00:38:35.840 credit programs. Get those environmental benefits 00:38:35.840 --> 00:38:38.639 verified and monetized. Turn sustainability into 00:38:38.639 --> 00:38:40.980 cash flow. Right. Capitalizing on those opportunities. 00:38:41.400 --> 00:38:44.039 And finally, by this stage, you should be positioned 00:38:44.039 --> 00:38:46.659 to benefit from premium product marketing based 00:38:46.659 --> 00:38:49.039 on your designer milk, your genetic improvements, 00:38:49.280 --> 00:38:52.219 your sustainable practices. Solidify those high 00:38:52.219 --> 00:38:55.019 -value revenue streams. Future -proof the business. 00:38:55.280 --> 00:38:58.179 Wow. That roadmap really lays it out. The bottom 00:38:58.179 --> 00:38:59.719 line from the article feels pretty powerful, 00:38:59.840 --> 00:39:01.539 doesn't it? It really does. This transformation, 00:39:01.860 --> 00:39:04.250 it won't be easy. Let's be real. But the early 00:39:04.250 --> 00:39:07.489 adopters, they stand to gain massive advantages. 00:39:07.869 --> 00:39:09.849 It's not about just being the most high -tech 00:39:09.849 --> 00:39:13.349 farm around. No, it's about being the most profitable. 00:39:13.949 --> 00:39:16.809 These innovations are direct paths to better 00:39:16.809 --> 00:39:19.670 margins, smoother operations, and building farms 00:39:19.670 --> 00:39:22.369 that will actually thrive for the next generation. 00:39:22.730 --> 00:39:24.670 So the question really isn't if these changes 00:39:24.670 --> 00:39:26.369 are coming. They're already here knocking at 00:39:26.369 --> 00:39:30.369 the door. The real question is, will you lead 00:39:30.369 --> 00:39:34.309 the charge? Or will you spend the next decade 00:39:34.309 --> 00:39:36.710 trying to play catch up? Or worse, potentially 00:39:36.710 --> 00:39:38.869 having to exit the industry because you couldn't 00:39:38.869 --> 00:39:41.909 adapt. It's a stark choice. Smart money, as the 00:39:41.909 --> 00:39:43.769 article implies, says it's time to start planning 00:39:43.769 --> 00:39:47.889 your move now. Great points. And that's probably 00:39:47.889 --> 00:39:49.829 all the time we have for today's deep dive. It 00:39:49.829 --> 00:39:52.110 flew by. Lots to think about there. Definitely. 00:39:52.750 --> 00:39:54.590 For more articles and insights like the one we 00:39:54.590 --> 00:39:58.210 discussed today, be sure to visit www .thebullvine 00:39:58.210 --> 00:40:00.530 .com. And don't forget to subscribe wherever 00:40:00.530 --> 00:40:02.969 you get your podcasts so you don't miss our next 00:40:02.969 --> 00:40:05.889 deep dive. Thanks for listening. That wraps up 00:40:05.889 --> 00:40:08.789 another episode of The Bullvine Podcast, where 00:40:08.789 --> 00:40:11.750 we break down the latest research and tech so 00:40:11.750 --> 00:40:14.050 you can make the best decisions for your dairy 00:40:14.050 --> 00:40:17.190 operation. Thanks for listening. If you found 00:40:17.190 --> 00:40:19.570 value in today's show, share it with a fellow 00:40:19.570 --> 00:40:21.929 dairy innovator. Subscribe for more evidence 00:40:21.929 --> 00:40:25.050 -based insights and visit us at thebullvine .com 00:40:25.050 --> 00:40:28.469 for articles, webinars, and tools built specifically 00:40:28.469 --> 00:40:31.949 for forward -thinking producers like you. Until 00:40:31.949 --> 00:40:34.690 next time, remember, don't chase trends, create 00:40:34.690 --> 00:40:38.090 them. Stay curious, stay profitable, and keep 00:40:38.090 --> 00:40:39.170 leading the herd forward.