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 --> 00:01:02.920 we're sparking Welcome to the Bullvine Podcast, 00:01:03.479 --> 00:01:05.819 where we challenge conventional wisdom and spark 00:01:05.819 --> 00:01:08.560 the conversations that matter most in dairy farming. 00:01:09.239 --> 00:01:12.260 I'm your host, bringing you the industry's most 00:01:12.260 --> 00:01:15.239 provocative analysis and game -changing insights. 00:01:16.140 --> 00:01:18.719 Today, we're diving deep into what might be the 00:01:18.719 --> 00:01:21.200 most important shift in cattle health management 00:01:21.200 --> 00:01:24.060 since the development of modern veterinary medicine. 00:01:24.780 --> 00:01:28.730 We're talking about smart sensors, internal monitoring 00:01:28.730 --> 00:01:32.430 technology, and why visual observation, the foundation 00:01:32.430 --> 00:01:35.750 of herd health for over 60 years, is not just 00:01:35.750 --> 00:01:39.609 inadequate, but actively costing you money. You're 00:01:39.609 --> 00:01:41.730 about to hear some uncomfortable truths about 00:01:41.730 --> 00:01:44.930 reactive medicine, discover why Austrian technology 00:01:44.930 --> 00:01:47.849 is disrupting North American dairy, and learn 00:01:47.849 --> 00:01:51.430 how early adopters are capturing 7 .8 times return 00:01:51.430 --> 00:01:54.010 on investment while their neighbors are still 00:01:54.010 --> 00:01:57.150 walking pens with thermometers. This episode 00:01:57.150 --> 00:01:59.069 is based on our comprehensive investigation, 00:01:59.609 --> 00:02:03.329 silent losses, loud profits, how smart sensors 00:02:03.329 --> 00:02:06.769 are saving producers 200 plus dollars per cow 00:02:06.769 --> 00:02:09.669 annually. Research that's already generating 00:02:09.669 --> 00:02:13.210 heated discussions across the industry. Whether 00:02:13.210 --> 00:02:15.669 you're skeptical about new technology or ready 00:02:15.669 --> 00:02:18.389 to revolutionize your operation, what you're 00:02:18.389 --> 00:02:20.669 about to hear will challenge everything you thought 00:02:20.669 --> 00:02:23.849 you knew about herd health management. Let's 00:02:23.849 --> 00:02:26.289 get started. Okay, imagine this for a second, 00:02:26.389 --> 00:02:29.569 right there on your dairy. You're losing significant 00:02:29.569 --> 00:02:32.669 money, like serious money, but it's happening 00:02:32.669 --> 00:02:36.330 silently. You might not even grasp the full scale 00:02:36.330 --> 00:02:39.210 of it. Our latest Bullvine article, it's called 00:02:39.210 --> 00:02:42.430 Cattle Censors, Silent Profits, Loud Returns. 00:02:42.430 --> 00:02:45.330 Well, it kicks off with a number, a statistic 00:02:45.330 --> 00:02:47.689 really, that should honestly make you question, 00:02:47.870 --> 00:02:50.110 well... Pretty much everything you thought you 00:02:50.110 --> 00:02:53.110 knew about managing herd health. It's a truly 00:02:53.110 --> 00:02:55.669 staggering fact, isn't it? And it's really the 00:02:55.669 --> 00:02:57.289 foundation for the whole piece in the bullvine. 00:02:57.409 --> 00:02:59.389 Visual observation, you know, the method we've 00:02:59.389 --> 00:03:01.830 all relied on forever. It misses something like 00:03:01.830 --> 00:03:06.789 40 % of sick cows. A full 40%. 40 %? Yeah. And 00:03:06.789 --> 00:03:08.530 look, that's not just some, you know, academic 00:03:08.530 --> 00:03:11.210 number. If you're running a dairy, that 40%, 00:03:11.210 --> 00:03:13.870 well, it's a massive whole bleeding cash from 00:03:13.870 --> 00:03:15.889 your bottom line. And for way too many producers, 00:03:16.150 --> 00:03:17.849 it's a loss they literally aren't even seeing. 00:03:17.969 --> 00:03:20.620 Right. Right. But then the article shifts gears 00:03:20.620 --> 00:03:22.460 pretty quickly, doesn't it? It brings in the 00:03:22.460 --> 00:03:25.039 solution, or at least a solution, smart sensors. 00:03:25.319 --> 00:03:28.740 It makes a strong case, backed by data, that 00:03:28.740 --> 00:03:32.120 this tech can spot critical issues like my stitis 00:03:32.120 --> 00:03:35.159 maybe four whole days earlier than even the most 00:03:35.159 --> 00:03:37.810 experienced I could. Four days? Yeah, four days. 00:03:37.889 --> 00:03:39.770 And that's not just, you know, finding it a bit 00:03:39.770 --> 00:03:42.310 sooner. It's about unlocking potentially substantial 00:03:42.310 --> 00:03:45.610 returns and maybe more importantly, finally plugging 00:03:45.610 --> 00:03:48.449 that quiet, insidious financial leak that's, 00:03:48.449 --> 00:03:50.349 well, it's been plaguing the industry for decades, 00:03:50.509 --> 00:03:52.710 hasn't it? Absolutely. And the key insight here, 00:03:52.750 --> 00:03:54.669 I think, is that the Bullvine article isn't just 00:03:54.669 --> 00:03:57.509 showing off some new gadget. No, it's fundamentally 00:03:57.509 --> 00:04:00.669 challenging the core assumptions, the reactive 00:04:00.669 --> 00:04:03.090 habits that have guided dairy health for so long. 00:04:03.870 --> 00:04:06.349 So the goal for us here in this deep dive is 00:04:06.349 --> 00:04:08.669 really to unpack why those traditional visual 00:04:08.669 --> 00:04:12.009 methods are costing the industry billions, yes, 00:04:12.050 --> 00:04:15.210 billions with a B, and shed light on how these 00:04:15.210 --> 00:04:17.410 forward -thinking producers are already using 00:04:17.410 --> 00:04:20.310 this stuff to get a massive, almost unfair competitive 00:04:20.310 --> 00:04:22.839 edge. That's exactly it. This isn't just another 00:04:22.839 --> 00:04:25.240 tech review. It's a direct challenge, you could 00:04:25.240 --> 00:04:28.019 even say provocative, to the status quo. And 00:04:28.019 --> 00:04:30.660 it's crucial, I think, to get this. It's not 00:04:30.660 --> 00:04:32.399 just about getting a little bit better at treating 00:04:32.399 --> 00:04:34.480 sick cows. That's where we usually focus, right? 00:04:34.579 --> 00:04:36.560 Our efforts, our money. Yeah, the treatment side. 00:04:36.740 --> 00:04:39.779 But the article hints at something deeper. It's 00:04:39.779 --> 00:04:43.339 about seeing inside the apparently healthy cows 00:04:43.339 --> 00:04:46.819 before they show even the tiniest outward sign. 00:04:47.399 --> 00:04:50.290 This isn't a small tweak. It's not just an upgrade. 00:04:50.410 --> 00:04:54.189 It's a fundamental paradigm shift in how we manage 00:04:54.189 --> 00:04:58.430 dairy health, moving from constant firefighting 00:04:58.430 --> 00:05:01.269 to something truly proactive, predictive, and, 00:05:01.350 --> 00:05:03.649 well, ultimately, a heck of a lot more profitable. 00:05:03.829 --> 00:05:05.410 Exactly. You've hit the nail on the head. It's 00:05:05.410 --> 00:05:08.389 moving from managing what you can see to managing 00:05:08.389 --> 00:05:10.949 what you know is happening internally, often 00:05:10.949 --> 00:05:13.129 days before you'd ever spot anything wrong visually. 00:05:13.350 --> 00:05:15.810 Think about it. Instead of reacting to a crisis, 00:05:15.970 --> 00:05:19.170 you're stopping it. Before it starts or, you 00:05:19.170 --> 00:05:21.470 know, stepping in when it's still a tiny, manageable 00:05:21.470 --> 00:05:24.470 thing that changes everything. Staffing, labor 00:05:24.470 --> 00:05:26.170 allocation, even who makes the decisions on the 00:05:26.170 --> 00:05:29.550 farm. It's it really is a new era of data driven 00:05:29.550 --> 00:05:32.250 dairy intelligence. OK, so let's dig into this 00:05:32.250 --> 00:05:35.019 idea of silent bleeding. The Bullvine article 00:05:35.019 --> 00:05:38.019 jumps right into the, well, the uncomfortable 00:05:38.019 --> 00:05:41.399 numbers around mastitis costs. And it bases this 00:05:41.399 --> 00:05:43.639 on some really solid Michigan State University 00:05:43.639 --> 00:05:45.899 research. This wasn't a tiny study, was it? Oh, 00:05:45.920 --> 00:05:48.100 not at all. It was comprehensive. They tracked, 00:05:48.199 --> 00:05:53.000 get this, 20 ,625 mastitis cases. 20 ,000 across 00:05:53.000 --> 00:05:56.300 37 different Wisconsin dairy farms. So these 00:05:56.300 --> 00:05:57.860 aren't like theoretical projections. These are 00:05:57.860 --> 00:05:59.620 real numbers from real working dairy. They are 00:05:59.620 --> 00:06:01.800 real data. Absolutely. And that solid base really 00:06:01.800 --> 00:06:03.800 helps us understand the economic hit. What's 00:06:03.800 --> 00:06:05.439 really striking, though, is the range in the 00:06:05.439 --> 00:06:07.800 average cost per case. It could be as low as, 00:06:07.879 --> 00:06:10.920 say, $108, or it could shoot all the way up to 00:06:10.920 --> 00:06:14.899 $337. That's a big swing. Huge difference. But 00:06:14.899 --> 00:06:17.279 when you break down that cost, one thing just 00:06:17.279 --> 00:06:21.339 leaps out. Milk discard. If you're using intramammary 00:06:21.339 --> 00:06:23.800 treatments, throwing that milk away accounts 00:06:23.800 --> 00:06:28.920 for a massive 87 % of the total cost. 87%. Wow. 00:06:28.980 --> 00:06:31.879 So most of the financial damage is just milk 00:06:31.879 --> 00:06:34.300 you produce but can't sell. Precisely. Milk you've 00:06:34.300 --> 00:06:36.540 already paid to produce feed, labor, everything 00:06:36.540 --> 00:06:38.399 just going down the drain. But here's the part 00:06:38.399 --> 00:06:40.689 from that MSU study that... honestly should make 00:06:40.689 --> 00:06:43.110 every producer stop and think. It found that 00:06:43.110 --> 00:06:46.189 nearly a third, 31 % of these mastitis cases 00:06:46.189 --> 00:06:49.389 got no antimicrobial treatment at all. None. 00:06:49.589 --> 00:06:51.769 Right. No antibiotic. And yet they still cost 00:06:51.769 --> 00:06:56.269 farmers an average of $192 per case. That really 00:06:56.269 --> 00:06:58.189 changes how we think about the cost, doesn't 00:06:58.189 --> 00:06:59.810 it? It's not just about the drugs or the vet 00:06:59.810 --> 00:07:01.970 bill. Exactly. It forces you to ask, well, what's 00:07:01.970 --> 00:07:05.069 in that $192 if there's no treatment cost? And 00:07:05.069 --> 00:07:07.879 the answer is... It's the lost production from 00:07:07.879 --> 00:07:10.019 that quarter, even if it's temporary. It's the 00:07:10.019 --> 00:07:12.300 potential impact on future lactations. It's the 00:07:12.300 --> 00:07:15.319 extra labor, you know, handling that cow, monitoring 00:07:15.319 --> 00:07:18.060 her. And it's the risk of it becoming a worse 00:07:18.060 --> 00:07:20.680 case later if it doesn't fully resolve. It really 00:07:20.680 --> 00:07:23.120 shows the inherent cost of just being sick, even 00:07:23.120 --> 00:07:25.360 without factoring in treatment. Productivity 00:07:25.360 --> 00:07:29.420 loss, labor, long -term effects. It all adds 00:07:29.420 --> 00:07:32.579 up. Okay, so that brings us to what the Bullvine 00:07:32.579 --> 00:07:36.579 article calls the lie. Or maybe, you know, the 00:07:36.579 --> 00:07:39.779 deeply held but flawed assumption that just looking 00:07:39.779 --> 00:07:43.100 at cows, visual observation, and clinical exams 00:07:43.100 --> 00:07:46.180 is the best way to assess health. The gold standard. 00:07:46.600 --> 00:07:49.220 The article is pretty blunt. It says, this assumption 00:07:49.220 --> 00:07:52.750 has cost the industry billions. It's like our 00:07:52.750 --> 00:07:55.350 industry's sacred cow, maybe, and it could be 00:07:55.350 --> 00:07:58.230 leading us completely astray, quietly draining 00:07:58.230 --> 00:08:00.870 profit. Well, to build on that, the issue isn't 00:08:00.870 --> 00:08:02.670 that looking at cows is useless. Of course not. 00:08:02.730 --> 00:08:04.790 It's that it's fundamentally reactive. You only 00:08:04.790 --> 00:08:06.470 see something after it's happened internally. 00:08:06.769 --> 00:08:08.769 Right. The article points to some fascinating 00:08:08.769 --> 00:08:11.410 research from beyond the bolus, which gives really 00:08:11.410 --> 00:08:13.709 concrete and sometimes uncomfortable examples, 00:08:14.069 --> 00:08:17.509 like cows identified as sick just by looking 00:08:17.509 --> 00:08:20.579 at them. They already have clear, obvious clinical 00:08:20.579 --> 00:08:22.920 symptoms. So it's not subtle anymore. Not at 00:08:22.920 --> 00:08:25.680 all. Which means the disease has probably been 00:08:25.680 --> 00:08:28.279 brewing inside for a while, often past the point 00:08:28.279 --> 00:08:30.220 where you can intervene really effectively and 00:08:30.220 --> 00:08:32.960 cheaply. So by the time you finally spot that, 00:08:32.980 --> 00:08:35.539 you know, slightly droopy ear, or maybe she's 00:08:35.539 --> 00:08:37.639 just not quite right on her feed or off her feed, 00:08:37.820 --> 00:08:40.480 the clock hasn't just been ticking. It's basically 00:08:40.480 --> 00:08:43.899 run out on the most profitable time to step in. 00:08:44.139 --> 00:08:46.720 Precisely. Another great example from that research 00:08:46.720 --> 00:08:49.960 is bovine respiratory disease, BRD. The clinical 00:08:49.960 --> 00:08:52.559 signs we look for, coughing, nasal discharge, 00:08:52.779 --> 00:08:55.399 they might show up way later than the actual 00:08:55.399 --> 00:08:57.659 fever started. Or sometimes, believe it or not, 00:08:57.740 --> 00:09:00.419 maybe without any fever at all. Really? No fever? 00:09:00.679 --> 00:09:03.159 Yeah, it happens. And with calf scours, neonatal 00:09:03.159 --> 00:09:05.580 diarrhea, you only see the odious signs, the 00:09:05.580 --> 00:09:08.340 scouring itself, after there's already been significant 00:09:08.340 --> 00:09:11.480 damage inside to the gut lining. The damage is 00:09:11.480 --> 00:09:14.179 already done or well underway. You're basically 00:09:14.179 --> 00:09:16.480 responding to the aftermath, not stopping it 00:09:16.480 --> 00:09:18.759 early. So what's the bottom line for, you know, 00:09:18.759 --> 00:09:21.440 for your operation listening to this? It means 00:09:21.440 --> 00:09:23.539 by the time your eyes or your team's eyes tell 00:09:23.539 --> 00:09:26.240 you a cow is sick, that optimal window for intervention, 00:09:26.460 --> 00:09:28.909 it's probably already slammed shut. Yeah, likely 00:09:28.909 --> 00:09:31.210 gone. You're not really doing proactive health 00:09:31.210 --> 00:09:33.490 management anymore. You're doing, like the article 00:09:33.490 --> 00:09:36.769 says, herd damage control, just reacting to problems 00:09:36.769 --> 00:09:39.429 that have already dug in. It's like finding the 00:09:39.429 --> 00:09:41.809 flood in the basement after it's happened instead 00:09:41.809 --> 00:09:44.350 of fixing that tiny drip you could have caught 00:09:44.350 --> 00:09:46.889 days ago. That's a great analogy. And that means 00:09:46.889 --> 00:09:49.990 higher treatment costs, longer recovery, maybe 00:09:49.990 --> 00:09:52.129 even permanent hits to her production. It's just 00:09:52.129 --> 00:09:54.929 expensive. And the Bullvine article makes a really 00:09:54.929 --> 00:09:58.769 strong case that this reactive approach, while 00:09:58.769 --> 00:10:01.990 maybe it was all we had historically, just isn't 00:10:01.990 --> 00:10:05.019 economically smart anymore. Not in today's competitive 00:10:05.019 --> 00:10:07.679 dairy world. Waiting just costs too much. Okay, 00:10:07.720 --> 00:10:10.620 so beyond those internal costs of, well, basically 00:10:10.620 --> 00:10:12.600 guesswork, there's this huge external pressure 00:10:12.600 --> 00:10:15.000 building too. The regulatory world is shifting 00:10:15.000 --> 00:10:17.279 under our feet. The Bullvine article makes it 00:10:17.279 --> 00:10:20.559 crystal clear. Antibiotic use, regulations, it's 00:10:20.559 --> 00:10:23.860 not some far -off issue anymore. It's here now 00:10:23.860 --> 00:10:26.980 affecting producers daily. Yeah, you really have 00:10:26.980 --> 00:10:28.559 to understand the direction things have been 00:10:28.559 --> 00:10:31.940 moving for a while now. Look at the EU major 00:10:31.940 --> 00:10:35.159 dairy player, right? They banned antibiotic growth 00:10:35.159 --> 00:10:39.340 promoters way back in 1999. 1999. That was early. 00:10:39.580 --> 00:10:42.379 Very early. Then the U .S. FDA brought in major 00:10:42.379 --> 00:10:44.279 restrictions on medically important antibiotics 00:10:44.279 --> 00:10:47.620 in 2017. These weren't random events. They were 00:10:47.620 --> 00:10:50.539 signals of a big global shift. And some recent 00:10:50.539 --> 00:10:52.659 research in Nature Communications, well, the 00:10:52.659 --> 00:10:55.039 numbers are pretty stark. Business as usual. 00:10:55.200 --> 00:10:57.659 Global antibiotic use in livestock could hit 00:10:57.659 --> 00:11:02.100 like... 143 ,000 tons by 2040. Wow. It's nearly 00:11:02.100 --> 00:11:05.000 a 30 % increase from where we are now. It's huge. 00:11:05.259 --> 00:11:06.840 And that's not just chickens and pigs, right? 00:11:06.940 --> 00:11:09.000 That includes us, cattle. Oh yeah, very much 00:11:09.000 --> 00:11:11.100 so. Cattle farming is actually projected to be 00:11:11.100 --> 00:11:13.200 the biggest slice of that pie, currently around 00:11:13.200 --> 00:11:17.059 53 .5 % of all global livestock antimicrobial 00:11:17.059 --> 00:11:19.139 use. So yeah, cattle producers are right in the 00:11:19.139 --> 00:11:21.779 spotlight for future regulations and public pressure. 00:11:22.000 --> 00:11:25.100 So connecting that back. While some farms might 00:11:25.100 --> 00:11:28.320 really struggle trying to make old reactive protocols 00:11:28.320 --> 00:11:31.539 work as rules tighten, the article suggests these 00:11:31.539 --> 00:11:33.940 forward -thinking farms, the ones using proactive, 00:11:34.200 --> 00:11:37.360 data -driven health management, they're finding 00:11:37.360 --> 00:11:39.480 it's not just about ticking compliance boxes, 00:11:39.519 --> 00:11:41.799 is it? Not at all. They're finding it's actually 00:11:41.799 --> 00:11:44.879 dramatically more profitable. It sounds counterintuitive 00:11:44.879 --> 00:11:47.580 maybe, but by getting ahead of the curve, by 00:11:47.580 --> 00:11:49.600 managing health differently, they're finding 00:11:49.600 --> 00:11:52.299 a path to better economic performance and easier 00:11:52.299 --> 00:11:55.100 compliance. dramatically more profitable. That's 00:11:55.100 --> 00:11:57.379 a strong claim. Does a Bullvine article back 00:11:57.379 --> 00:11:59.840 that up with data? It absolutely does. The numbers 00:11:59.840 --> 00:12:01.980 really support this. Farms have already put in 00:12:01.980 --> 00:12:04.080 continuous monitoring systems. They're seeing 00:12:04.080 --> 00:12:07.559 disease incidents drop by up to 30%, 30 % fewer 00:12:07.559 --> 00:12:10.139 cases, and maybe even more directly hitting the 00:12:10.139 --> 00:12:13.259 wallet. They're cutting vet costs by about 25%. 00:12:13.259 --> 00:12:16.539 That's not pocket change. These are real substantial 00:12:16.539 --> 00:12:19.629 improvements. Think about what that means day 00:12:19.629 --> 00:12:22.690 to day. Fewer vet calls, less drug spending, 00:12:22.950 --> 00:12:26.590 less milk dumped, healthier cows. It all flows 00:12:26.590 --> 00:12:28.669 straight to the bottom line. It's about being 00:12:28.669 --> 00:12:31.129 efficient and proactive, not just constantly 00:12:31.129 --> 00:12:33.629 reacting and paying for it. And it's not just 00:12:33.629 --> 00:12:35.970 the regulators pushing this change, is it? The 00:12:35.970 --> 00:12:38.529 article brings up another huge factor. Us, the 00:12:38.529 --> 00:12:40.769 consumers, people want antibiotic -free products 00:12:40.769 --> 00:12:43.730 more and more. That creates, well, a bit of a 00:12:43.730 --> 00:12:45.350 double -edged sword, doesn't it? It really does. 00:12:45.429 --> 00:12:47.950 It's a crucial point. On one side, yes, this 00:12:47.950 --> 00:12:50.149 huge consumer demand creates these amazing premium 00:12:50.149 --> 00:12:53.009 market opportunities. If you can reliably produce 00:12:53.009 --> 00:12:55.769 milk that meets those antibiotic -free or raised 00:12:55.769 --> 00:12:57.870 without antibiotic standards, there are often 00:12:57.870 --> 00:12:59.789 better prices and new markets available. Right, 00:12:59.850 --> 00:13:01.830 the upside. But the other edge of that sword. 00:13:02.460 --> 00:13:04.899 It creates intense pressure, almost existential 00:13:04.899 --> 00:13:07.580 pressure, for producers who haven't figured out 00:13:07.580 --> 00:13:09.960 alternative ways to manage health without relying 00:13:09.960 --> 00:13:12.559 heavily on antibiotics. The market is sending 00:13:12.559 --> 00:13:15.539 a very clear signal. The old way isn't the only 00:13:15.539 --> 00:13:17.620 way anymore, and maybe it's rapidly becoming 00:13:17.620 --> 00:13:20.240 not the preferred way. That pressure isn't going 00:13:20.240 --> 00:13:23.519 away. With anything, it's growing. So the stakes 00:13:23.519 --> 00:13:26.460 are really high. Compliance, market access, basic 00:13:26.460 --> 00:13:29.299 economic survival. The article puts a number 00:13:29.299 --> 00:13:31.299 on the bigger picture, too. The global cost of 00:13:31.299 --> 00:13:33.639 dairy cattle diseases. What was it? An absolutely 00:13:33.639 --> 00:13:38.320 mind boggling $65 billion. Yeah. Annually. Globally. 00:13:38.480 --> 00:13:40.659 $65 billion. That really puts the scale of the 00:13:40.659 --> 00:13:43.019 problem in perspective. It does. And to make 00:13:43.019 --> 00:13:45.100 it even more concrete, to bring it down from 00:13:45.100 --> 00:13:47.840 that huge global number, the Bullvine article 00:13:47.840 --> 00:13:50.779 zooms in on just one specific, often silent condition. 00:13:51.879 --> 00:13:54.440 Subclinical ketosis. Ah, yes. The sneaky one. 00:13:54.580 --> 00:13:56.320 Exactly. It doesn't always show obvious signs, 00:13:56.419 --> 00:13:58.500 right? The cow isn't dramatically off -eater 00:13:58.500 --> 00:14:01.519 down. But it's there. And that alone accounts 00:14:01.519 --> 00:14:04.480 for an estimated $18 billion in losses globally. 00:14:04.879 --> 00:14:07.899 $18 billion. Just from subclinical ketosis. Just 00:14:07.899 --> 00:14:11.639 from that one condition. Because it quietly eats 00:14:11.639 --> 00:14:14.779 away at profits. Lower feed intake. Lower peak 00:14:14.779 --> 00:14:17.509 milk. Poor repro performance makes them more 00:14:17.509 --> 00:14:19.789 susceptible to other things like mastitis or 00:14:19.789 --> 00:14:22.649 DAs. It perfectly illustrates the point. Even 00:14:22.649 --> 00:14:25.450 things you can't easily see are financially devastating. 00:14:25.710 --> 00:14:27.929 They're eroding your profitability under the 00:14:27.929 --> 00:14:30.710 surface, often completely missed by traditional 00:14:30.710 --> 00:14:33.289 reactive management. So whether it's regulations 00:14:33.289 --> 00:14:36.049 tightening, consumers demanding change, or these 00:14:36.049 --> 00:14:38.690 hidden costs just bleeding you dry, the message 00:14:38.690 --> 00:14:40.850 from the Bullvine article seems loud and clear. 00:14:41.029 --> 00:14:43.730 The industry is at a tipping point. Standing 00:14:43.730 --> 00:14:46.929 still isn't really an option anymore. Which leads 00:14:46.929 --> 00:14:49.429 us perfectly into this idea of a revolution from 00:14:49.429 --> 00:14:51.970 within. The Bullvine article really highlights 00:14:51.970 --> 00:14:53.750 this, pointing to it not just as a solution, 00:14:53.830 --> 00:14:56.429 but maybe the groundbreaking approach. And it 00:14:56.429 --> 00:14:58.850 features Smackstick, that Austrian company, says 00:14:58.850 --> 00:15:01.110 they've been, what, quietly revolutionizing European 00:15:01.110 --> 00:15:04.230 dairy management since 2009? Yeah, SmacksTech. 00:15:04.350 --> 00:15:06.470 Their approach really cuts against that good 00:15:06.470 --> 00:15:08.230 enough mindset of just looking at the outside 00:15:08.230 --> 00:15:10.370 of the cow, the external monitoring that, let's 00:15:10.370 --> 00:15:12.629 be honest, many operations still rely on. So 00:15:12.629 --> 00:15:14.330 what do they do differently? What's the core 00:15:14.330 --> 00:15:17.289 idea? Well, what's really cool is how they basically 00:15:17.289 --> 00:15:20.350 figure out how to turn each cow into her own 00:15:20.350 --> 00:15:23.529 super accurate internal health monitor. It's 00:15:23.529 --> 00:15:25.649 not just about sticking a tag on her ear or a 00:15:25.649 --> 00:15:27.830 collar on her neck. It's about putting a sophisticated 00:15:27.830 --> 00:15:31.049 sensor inside her. Inside. Inside. Right in the 00:15:31.049 --> 00:15:33.009 reticulum, actually. That's where it can get 00:15:33.009 --> 00:15:35.309 the most stable, most accurate readings of her 00:15:35.309 --> 00:15:37.690 core physiology. And that's the bolus the article 00:15:37.690 --> 00:15:39.830 talks about, right? Explain that tech a bit more. 00:15:40.049 --> 00:15:42.190 Exactly. The bolus. It's the heart of their system. 00:15:42.230 --> 00:15:45.490 It's this battery -powered sensor housed in a 00:15:45.490 --> 00:15:48.169 durable ceramic casing. And it just sits there 00:15:48.169 --> 00:15:51.509 safely in the cow's reticulum. for up to five 00:15:51.509 --> 00:15:54.929 years doing its job. Five years. Wow. Yeah, long 00:15:54.929 --> 00:15:57.750 life. And because it's inside in that stable 00:15:57.750 --> 00:16:00.450 core environment, it can continuously measure 00:16:00.450 --> 00:16:03.009 key internal signs with incredible accuracy. 00:16:03.289 --> 00:16:05.490 It's not guessing based on outside activity. 00:16:05.649 --> 00:16:08.850 It's getting direct internal data. That's a fundamental 00:16:08.850 --> 00:16:11.710 difference from external sensors. And the article 00:16:11.710 --> 00:16:13.690 gets specific about what it measures, and the 00:16:13.690 --> 00:16:16.850 accuracy is pretty mind -blowing. Core body temp, 00:16:16.970 --> 00:16:20.450 it says, with clinical grade accuracy, plus or 00:16:20.450 --> 00:16:24.049 minus 0 .018 degrees Fahrenheit. That seems incredibly 00:16:24.049 --> 00:16:27.029 precise for something inside a cow. It is incredibly 00:16:27.029 --> 00:16:29.590 precise. And that's crucial because core body 00:16:29.590 --> 00:16:32.690 temp is such a stable early warning sign. It 00:16:32.690 --> 00:16:34.610 changes often before anything else when there's 00:16:34.610 --> 00:16:36.509 metabolic stress or an infection starting. OK, 00:16:36.570 --> 00:16:38.590 so temperature. What else? Well, beyond temp, 00:16:38.690 --> 00:16:41.289 it continuously tracks individual water intake. 00:16:41.509 --> 00:16:43.570 They have this patented tech called true drinking. 00:16:44.200 --> 00:16:46.559 And that's huge because subtle shifts in how 00:16:46.559 --> 00:16:49.320 much or how often a cow drinks can be one of 00:16:49.320 --> 00:16:51.360 the very first signs something's up. Sometimes 00:16:51.360 --> 00:16:53.679 even before her temperature spikes. Interesting. 00:16:53.759 --> 00:16:56.360 Water intake first. Often, yeah. Yeah. It also 00:16:56.360 --> 00:16:58.519 measures rumination activity precisely using 00:16:58.519 --> 00:17:01.080 their true rumia sensors. That gives you a direct 00:17:01.080 --> 00:17:03.580 window into her digestive health, her comfort. 00:17:03.740 --> 00:17:05.900 Yeah. Because rumination is so closely tied to 00:17:05.900 --> 00:17:08.619 how she's feeling and digesting. Optionally, 00:17:08.619 --> 00:17:11.039 you can add room in pH monitoring, too, vital 00:17:11.039 --> 00:17:13.740 for managing acidosis risk and really dialing 00:17:13.740 --> 00:17:16.779 in feed efficiency. So it's painting this really 00:17:16.779 --> 00:17:19.660 detailed, real -time internal picture of every 00:17:19.660 --> 00:17:23.299 single animal, not just one data point. But what's 00:17:23.299 --> 00:17:26.079 the real leap here? The article used that phrase, 00:17:26.259 --> 00:17:28.480 economic time travel. What does that mean in 00:17:28.480 --> 00:17:32.099 practice? Huh, yeah, economic time travel. It 00:17:32.099 --> 00:17:34.539 sounds dramatic, but it really captures the power 00:17:34.539 --> 00:17:37.190 of this early detection. The research that the 00:17:37.190 --> 00:17:39.190 article cites shows pretty clearly that these 00:17:39.190 --> 00:17:41.309 internal temperature changes, they can show up 00:17:41.309 --> 00:17:43.849 four full days before you'd see any visual signs 00:17:43.849 --> 00:17:45.890 of something like mastitis. Four days earlier. 00:17:46.299 --> 00:17:48.640 Four days. That's not just early detection. That 00:17:48.640 --> 00:17:51.279 is a massive leap forward. It literally buys 00:17:51.279 --> 00:17:54.339 you time. Time to step in proactively, maybe 00:17:54.339 --> 00:17:56.059 with something less aggressive, less expensive. 00:17:56.220 --> 00:17:58.759 Time to prevent a full -blown crisis. Time to 00:17:58.759 --> 00:18:00.940 save a ton of money on discarded milk, drugs, 00:18:01.180 --> 00:18:03.960 labor. That's the economic time travel. You get 00:18:03.960 --> 00:18:06.359 to act before the big economic damage starts 00:18:06.359 --> 00:18:08.990 piling up. Think about treating subclinical mastitis 00:18:08.990 --> 00:18:11.569 with maybe just a supportive therapy or a small 00:18:11.569 --> 00:18:13.930 management change instead of waiting until it's 00:18:13.930 --> 00:18:16.309 clinical and needs antibiotics and a week of 00:18:16.309 --> 00:18:19.170 dumped milk. That's the power of that extra time. 00:18:19.309 --> 00:18:22.109 It enables precision intervention. And it's not 00:18:22.109 --> 00:18:24.630 just spitting out raw numbers, is it? The article 00:18:24.630 --> 00:18:27.569 mentions the AI side, the artificial intelligence 00:18:27.569 --> 00:18:30.049 driving the diagnostics. That seems key. Oh, 00:18:30.089 --> 00:18:32.890 absolutely key, because raw data is just data. 00:18:33.009 --> 00:18:35.430 You need intelligence to make it useful. The 00:18:35.430 --> 00:18:38.849 AI in this system is constantly analyzing all 00:18:38.849 --> 00:18:42.450 those different data streams, temp, water, rumination, 00:18:42.650 --> 00:18:46.230 pH, maybe all at the same time. It learns each 00:18:46.230 --> 00:18:48.569 cow's normal baseline, looks for deviations, 00:18:48.569 --> 00:18:51.170 compares patterns across the herd. So it's pattern 00:18:51.170 --> 00:18:53.990 recognition. Exactly. Complex pattern recognition. 00:18:54.029 --> 00:18:55.950 It's not just a simple alert like temperature's 00:18:55.950 --> 00:18:58.470 high. It's much smarter. For instance, a high 00:18:58.470 --> 00:19:01.150 temp with normal rumination, but a drop in water 00:19:01.150 --> 00:19:03.170 intake. That suggests something different than 00:19:03.170 --> 00:19:05.130 a high temp where rumination is crash and rumen 00:19:05.130 --> 00:19:07.170 pH is low. Yeah. That might point more towards 00:19:07.170 --> 00:19:08.970 acidosis. Makes sense. Different patterns, different 00:19:08.970 --> 00:19:11.750 problems. Precisely. So the system gives you 00:19:11.750 --> 00:19:14.349 what the article calls qualified diagnostic leads. 00:19:14.980 --> 00:19:17.400 It's not just a raw alert dump that leaves you 00:19:17.400 --> 00:19:19.900 guessing. It's giving you actionable intelligence, 00:19:20.180 --> 00:19:23.160 pointing you towards the likely issue. So you 00:19:23.160 --> 00:19:25.319 can make a much more informed, targeted decision 00:19:25.319 --> 00:19:28.099 about what to do next. It moves you from guesswork 00:19:28.099 --> 00:19:32.380 to data -driven confidence. This all sounds incredibly 00:19:32.380 --> 00:19:35.039 advanced, incredibly promising. But, you know, 00:19:35.039 --> 00:19:37.160 on a dairy, it always comes down to the dollars 00:19:37.160 --> 00:19:38.900 and cents, doesn't it? Does it actually pay? 00:19:39.660 --> 00:19:42.519 The Bullvine article tackles this head on with 00:19:42.519 --> 00:19:44.559 results from an independent study, that 2024 00:19:44.559 --> 00:19:47.559 IFCN study. And the numbers aren't small, are 00:19:47.559 --> 00:19:49.240 they? They're the kind of numbers that, yeah, 00:19:49.279 --> 00:19:51.460 maybe should terrify your competition. Yeah, 00:19:51.480 --> 00:19:53.839 the findings from that IFCN study are really 00:19:53.839 --> 00:19:56.259 quite something. They provide solid proof. They 00:19:56.259 --> 00:19:59.259 documented on average a $210 per cow increase 00:19:59.259 --> 00:20:03.160 in returns. $210. Per cow? Per cow, per year. 00:20:03.420 --> 00:20:06.900 And on top of that, another $190 per cow in just 00:20:06.900 --> 00:20:09.069 straight up additional income. So you put those 00:20:09.069 --> 00:20:12.130 together, that's $400 per cow in improved profitability. 00:20:12.430 --> 00:20:14.890 $400 per cow. And it wasn't just money. They 00:20:14.890 --> 00:20:17.390 also saw significant bumps in milk yield 330 00:20:17.390 --> 00:20:20.190 kilograms of solids -corrected milk annually. 00:20:20.829 --> 00:20:22.549 And solids -corrected milk, you know, it's a 00:20:22.549 --> 00:20:24.329 better measure because it accounts for the energy, 00:20:24.410 --> 00:20:26.650 the fat and protein content, not just raw volume. 00:20:26.809 --> 00:20:28.930 It gives you a truer picture of output. Right, 00:20:28.970 --> 00:20:31.509 quality matters. Exactly. And the study's overall 00:20:31.509 --> 00:20:34.250 conclusion was pretty broad. It had a positive 00:20:34.250 --> 00:20:36.190 effect on the most important indicators like 00:20:36.190 --> 00:20:39.789 milk yield, labor, returns, income, and carbon 00:20:39.789 --> 00:20:42.269 footprint. So not just hitting one target, but 00:20:42.269 --> 00:20:44.309 improving things across the board. Okay, let's 00:20:44.309 --> 00:20:46.069 put those numbers into perspective, make them 00:20:46.069 --> 00:20:49.329 real. The article helps here. On a, say, 500 00:20:49.329 --> 00:20:52.960 -cow dairy, What does that look like? Well, you 00:20:52.960 --> 00:20:56.519 do the math. $210 per cow times 500 cows. Yeah. 00:20:56.579 --> 00:20:59.539 That's $105 ,000 in additional returns. And the 00:20:59.539 --> 00:21:02.099 $190 per cow in extra income, that's another 00:21:02.099 --> 00:21:04.940 $95 ,000. Wow. So yeah, you're looking at around 00:21:04.940 --> 00:21:07.839 $200 ,000 in direct financial gain just for those 00:21:07.839 --> 00:21:10.039 two metrics alone every single year. That's substantial. 00:21:10.299 --> 00:21:12.160 That really drives home the point, doesn't it? 00:21:12.220 --> 00:21:14.680 Some might hesitate over the upfront cost of 00:21:14.680 --> 00:21:16.700 technology like this. But those numbers show 00:21:16.700 --> 00:21:18.779 it's not really an expense. It's an investment, 00:21:19.039 --> 00:21:22.079 a strategic one with a potentially massive and 00:21:22.079 --> 00:21:24.599 rapid return. Absolutely. This is where those 00:21:24.599 --> 00:21:26.640 huge competitive advantages are being built right 00:21:26.640 --> 00:21:29.519 now. While some farms are still walking pens, 00:21:29.720 --> 00:21:32.319 reacting to what they see, others are leveraging 00:21:32.319 --> 00:21:34.980 this data and capturing that value. They're essentially 00:21:34.980 --> 00:21:36.859 leaving money on the table if they don't adapt. 00:21:37.119 --> 00:21:39.720 And it's not just theoretical studies. The Bullvine 00:21:39.720 --> 00:21:42.480 article includes a really powerful real -world 00:21:42.480 --> 00:21:45.779 example, doesn't it? Amber Horn Leiterman, milking 00:21:45.779 --> 00:21:48.539 over 2 ,100 cows up in Brilliant, Wisconsin. 00:21:48.960 --> 00:21:51.259 That's boots on the ground proof. Yeah, her story 00:21:51.259 --> 00:21:53.180 is incredibly compelling because it's from a 00:21:53.180 --> 00:21:56.259 large, successful commercial operation. Her numbers 00:21:56.259 --> 00:21:59.539 are stunning. She calculated, get this, a 7 .8 00:21:59.539 --> 00:22:02.839 times return on her investment. Almost 8x ROI. 00:22:03.200 --> 00:22:06.400 8 times? Based on what? Based only on improvements 00:22:06.400 --> 00:22:09.799 in her call rate. Just from making smarter, earlier 00:22:09.799 --> 00:22:11.880 decisions about which cows needed to leave the 00:22:11.880 --> 00:22:14.359 herd, that alone gave her an almost 8x return. 00:22:14.579 --> 00:22:17.119 And the total savings, just within her replacement 00:22:17.119 --> 00:22:20.059 program, from better culling and management, 00:22:20.200 --> 00:22:23.819 it exceeded half a million dollars in 2023. 500 00:22:23.819 --> 00:22:26.940 ,000. Half a million dollars. Just from that 00:22:26.940 --> 00:22:29.000 aspect. Just from that. And she really believes 00:22:29.000 --> 00:22:31.180 in the approach. The article quotes her directly. 00:22:31.480 --> 00:22:34.440 The inner body temperature monitoring that SmacksTech 00:22:34.440 --> 00:22:37.279 provides has been a game changer for us. The 00:22:37.279 --> 00:22:39.460 inner temperature allows us to provide preventative 00:22:39.460 --> 00:22:42.200 and supportive care to our cows and helps catch 00:22:42.200 --> 00:22:44.700 inflammation and metabolic issues in transition 00:22:44.700 --> 00:22:47.990 cows before these issues get out of hand. That 00:22:47.990 --> 00:22:50.210 focus on preventative and supportive care really 00:22:50.210 --> 00:22:52.250 stands out. It's not about waiting for disaster. 00:22:52.690 --> 00:22:54.950 Exactly. It's not waiting for the full -blown 00:22:54.950 --> 00:22:57.549 expensive illness. It's catching those subtle 00:22:57.549 --> 00:22:59.789 signs, the early inflammation, the metabolic 00:22:59.789 --> 00:23:02.190 wobbles, especially those vulnerable transition 00:23:02.190 --> 00:23:04.789 cows, before they spiral out of control into 00:23:04.789 --> 00:23:07.250 something really serious and costly. It ties 00:23:07.250 --> 00:23:09.309 right back to that economic time travel idea, 00:23:09.509 --> 00:23:12.170 acting days ahead of the visible problem. And 00:23:12.170 --> 00:23:14.410 the article makes it clear the benefits go beyond 00:23:14.410 --> 00:23:17.190 just stopping sickness, right? It mentions big 00:23:17.190 --> 00:23:19.829 gains in reproductive efficiency, too, which, 00:23:19.930 --> 00:23:22.190 let's face it, is huge for dairy profitability. 00:23:22.529 --> 00:23:24.470 Oh, absolutely fundamental. Better repro drives 00:23:24.470 --> 00:23:27.309 everything. The article highlights that Wisconsin 00:23:27.309 --> 00:23:29.890 producers using this kind of smart, bolus tech 00:23:29.890 --> 00:23:32.269 were achieving really precise heat detection, 00:23:32.470 --> 00:23:35.430 pinpoint accuracy. And that led to pregnancy 00:23:35.430 --> 00:23:38.829 rates approaching 30%. 30 % preg rates? That's 00:23:38.829 --> 00:23:40.650 top tier. Top tier, exactly. And what does that 00:23:40.650 --> 00:23:44.009 mean practically? It means fewer days open. That 00:23:44.009 --> 00:23:45.690 time between calving and getting pregnant again 00:23:45.690 --> 00:23:48.069 shrinks dramatically. And every day you shave 00:23:48.069 --> 00:23:50.769 off the days open, average across the herd, saves 00:23:50.769 --> 00:23:53.470 money. Because every day a cow isn't pregnant 00:23:53.470 --> 00:23:55.970 when she should be or isn't progressing efficiently 00:23:55.970 --> 00:24:00.319 to her next lactation. That's lost income. Historically, 00:24:00.339 --> 00:24:02.660 missing a heat cycle, extending days open by 00:24:02.660 --> 00:24:06.400 just 10 days, could cost $30 per cow. Eliminate 00:24:06.400 --> 00:24:08.559 those misses with accurate detection. The savings 00:24:08.559 --> 00:24:11.480 tile up fast. So it really is this compounding 00:24:11.480 --> 00:24:13.539 advantage. The article loops back to that MSU 00:24:13.539 --> 00:24:16.059 research again, pointing out that just shortening 00:24:16.059 --> 00:24:18.720 mastitis treatment by one day saves about $65 00:24:18.720 --> 00:24:22.619 per case. Right. Now connect that back. If these 00:24:22.619 --> 00:24:25.220 sensors let you detect problems four days earlier 00:24:25.220 --> 00:24:28.829 than just looking, what does that mean? You're 00:24:28.829 --> 00:24:30.630 not just saving a bit on the initial treatment. 00:24:30.710 --> 00:24:33.490 Exactly. You're unlocking these competitive advantages 00:24:33.490 --> 00:24:36.029 that build on each other across the whole operation. 00:24:36.460 --> 00:24:39.259 Every day of treatment you cut, every severe 00:24:39.259 --> 00:24:41.839 case you prevent, every heat cycle you catch 00:24:41.839 --> 00:24:44.200 perfectly, every culling decision you make smarter, 00:24:44.460 --> 00:24:47.519 it all adds up. It compounds. It's not just an 00:24:47.519 --> 00:24:49.539 advantage. It becomes an exponential advantage 00:24:49.539 --> 00:24:53.000 in efficiency, profitability, and yeah, animal 00:24:53.000 --> 00:24:55.980 welfare too. It fundamentally separates the operations 00:24:55.980 --> 00:24:58.640 embracing this from those sticking to the old 00:24:58.640 --> 00:25:01.289 ways. Now, while these sensors are clearly changing 00:25:01.289 --> 00:25:03.849 the game on the detection side, the Bullvine 00:25:03.849 --> 00:25:05.890 article also looks ahead, doesn't it? It shifts 00:25:05.890 --> 00:25:08.230 focus to the future of treatment, and it introduces 00:25:08.230 --> 00:25:11.670 something pretty fascinating. Antimicrobial peptides, 00:25:11.730 --> 00:25:15.089 or AMPs, describes them as nature's answer to 00:25:15.089 --> 00:25:18.049 resistance. That sounds hopeful. It really does. 00:25:18.250 --> 00:25:20.950 It's an intriguing development. The article introduces 00:25:20.950 --> 00:25:24.369 PeptoBiotics, a startup out of Singapore, that's 00:25:24.369 --> 00:25:26.369 actively working on engineering these things. 00:25:26.730 --> 00:25:29.109 AMPs, basically, are nature's own antibiotics. 00:25:29.569 --> 00:25:31.690 You find them everywhere in biology, bacteria, 00:25:31.869 --> 00:25:34.769 plants, animals, us. Really? We have them too. 00:25:35.029 --> 00:25:38.390 We do. And they show huge promise for being effective 00:25:38.390 --> 00:25:41.220 against a lot of different bugs. But... And this 00:25:41.220 --> 00:25:43.279 is a crucial part. Without carrying the same 00:25:43.279 --> 00:25:45.940 high risk of bacteria developing resistance that 00:25:45.940 --> 00:25:48.059 we're constantly battling with conventional antibiotics, 00:25:48.460 --> 00:25:51.359 this could be a massive deal for the long -term 00:25:51.359 --> 00:25:53.539 sustainability of animal health. Okay, how do 00:25:53.539 --> 00:25:55.900 they actually work? Why are they less prone to 00:25:55.900 --> 00:25:58.059 resistance? The article mentions PMC research 00:25:58.059 --> 00:26:01.559 on... Right. So unlike our traditional antibiotics, 00:26:01.779 --> 00:26:03.779 which usually target a very specific process 00:26:03.779 --> 00:26:05.960 inside the bacteria, like building a cell wall 00:26:05.960 --> 00:26:09.240 or making a protein, something the bacteria can 00:26:09.240 --> 00:26:11.119 often mutate to get around. Find a workaround. 00:26:11.319 --> 00:26:13.579 Exactly. AMPs work differently. They're more 00:26:13.579 --> 00:26:16.500 like physical attackers. They directly mess with 00:26:16.500 --> 00:26:18.960 the bacterial cell membrane itself. Imagine them 00:26:18.960 --> 00:26:21.140 punching holes in the outer wall of the bacteria. 00:26:21.319 --> 00:26:23.759 Like little molecular battering rams. Kind of, 00:26:23.759 --> 00:26:26.460 yeah. They disrupt the membrane, cause the cell 00:26:26.460 --> 00:26:29.460 contents to leak out, and the bacteria basically 00:26:29.460 --> 00:26:31.720 dies. And because they attack that fundamental 00:26:31.720 --> 00:26:34.460 structure, the cell membrane, it's much, much 00:26:34.460 --> 00:26:36.920 harder for bacteria to evolve resistance. They'd 00:26:36.920 --> 00:26:38.759 have to completely change their basic structure, 00:26:38.839 --> 00:26:41.440 which is way harder than just tweaking one internal 00:26:41.440 --> 00:26:43.660 enzyme. It's a really different, more robust 00:26:43.660 --> 00:26:45.720 way to go after them. A whole different strategy. 00:26:45.819 --> 00:26:48.700 So is it working? Are there studies showing effectiveness? 00:26:49.160 --> 00:26:51.099 Yeah, the early signs are definitely promising. 00:26:51.359 --> 00:26:54.240 Studies have shown AMPs are effective against 00:26:54.240 --> 00:26:57.539 some really important livestock pathogens, including 00:26:57.539 --> 00:27:00.079 Staphylococcus aureus, which, as you know, causes 00:27:00.079 --> 00:27:02.680 a lot of persistent, costly mastitis and dairy 00:27:02.680 --> 00:27:05.420 hurts. Big problem, Staphylococcus aureus. Huge. 00:27:05.779 --> 00:27:08.380 And they've shown significant antibacterial effects, 00:27:08.599 --> 00:27:11.400 both in the lab that's in vitro and in live animal 00:27:11.400 --> 00:27:14.279 studies in vivo. So it's moving beyond theory. 00:27:14.759 --> 00:27:17.180 This could be a critical tool for future -proofing 00:27:17.180 --> 00:27:19.500 our treatment options against that ever -growing 00:27:19.500 --> 00:27:21.660 threat of antibiotic resistance, letting us keep 00:27:21.660 --> 00:27:23.980 animals healthy while maybe relying less on the 00:27:23.980 --> 00:27:26.460 old standbys. So for the producers listening, 00:27:26.579 --> 00:27:30.079 thinking about their own herds, how soon could 00:27:30.079 --> 00:27:32.720 this be a reality? Is it something available 00:27:32.720 --> 00:27:36.839 for cattle now? Ah, the timeline question. Always 00:27:36.839 --> 00:27:39.319 important. The Bullvine article clarifies that 00:27:39.319 --> 00:27:41.839 right now, peptobiotics seems to be focusing 00:27:41.839 --> 00:27:44.859 mainly on aquaculture, fish farming, and poultry. 00:27:45.000 --> 00:27:47.740 Okay, not cattle yet. Not yet announced for cattle 00:27:47.740 --> 00:27:50.299 in North America. Those sectors often have really 00:27:50.299 --> 00:27:53.220 acute disease issues where resistance is a massive 00:27:53.220 --> 00:27:55.400 problem, making them good places to prove the 00:27:55.400 --> 00:27:58.950 tech first. And this is a big good. But they 00:27:58.950 --> 00:28:02.029 just raised $6 .2 million in Series A funding 00:28:02.029 --> 00:28:05.750 back in April 2024. Serious money. Very serious 00:28:05.750 --> 00:28:08.269 money. That signals major investor confidence. 00:28:08.609 --> 00:28:10.849 They believe this technology has a real future, 00:28:10.910 --> 00:28:13.509 a big market potential. It's not just a science 00:28:13.509 --> 00:28:15.910 project anymore. So it's not here today for dairy. 00:28:16.430 --> 00:28:18.509 But the investment suggests it's definitely on 00:28:18.509 --> 00:28:20.589 the horizon. Exactly. It looks like a classic 00:28:20.589 --> 00:28:23.049 beachhead strategy. You prove your technology 00:28:23.049 --> 00:28:25.349 works, prove it's commercially viable in these 00:28:25.349 --> 00:28:27.150 initial markets like fish and chickens where 00:28:27.150 --> 00:28:29.170 the need is urgent. Then once you've got that 00:28:29.170 --> 00:28:31.410 foothold, you expand into the bigger opportunities 00:28:31.410 --> 00:28:34.849 like cattle. Right. Establish a base camp. Precisely. 00:28:34.869 --> 00:28:37.569 Yeah. So it feels less like a question of if 00:28:37.569 --> 00:28:39.950 this kind of technology comes to dairy and more 00:28:39.950 --> 00:28:42.369 a question of when. And for producers thinking 00:28:42.369 --> 00:28:45.710 strategically, knowing this is coming helps shape 00:28:45.710 --> 00:28:48.490 how you plan for a future that might rely less 00:28:48.490 --> 00:28:50.470 on the conventional antibiotics we use today. 00:28:50.880 --> 00:28:53.140 You know, all this talk about advanced monitoring, 00:28:53.480 --> 00:28:56.759 AI, new treatments, it brings us to another really 00:28:56.759 --> 00:28:59.039 profound disruption the Bullvine article touches 00:28:59.039 --> 00:29:01.440 on. And this one isn't just about technology, 00:29:01.619 --> 00:29:04.579 it's about relationships. Specifically, the relationship 00:29:04.579 --> 00:29:07.859 between the producer and the veterinarian. Smart 00:29:07.859 --> 00:29:10.519 monitoring seems to fundamentally challenge the 00:29:10.519 --> 00:29:12.960 way vets have done business for decades. It really 00:29:12.960 --> 00:29:15.039 does. It's a fascinating transformation that 00:29:15.039 --> 00:29:17.759 it demands or maybe enables. Veterinarians are 00:29:17.759 --> 00:29:20.079 kind of shifting or being asked to shift from... 00:29:20.329 --> 00:29:22.529 Being primarily the emergency responders, right? 00:29:22.569 --> 00:29:24.710 The person you call when a cow is down or there's 00:29:24.710 --> 00:29:26.990 a crisis. Like the fire brigade. Exactly. Shifting 00:29:26.990 --> 00:29:30.369 from that to becoming more like strategic data 00:29:30.369 --> 00:29:33.230 savvy health advisors. It's a whole different 00:29:33.230 --> 00:29:35.410 way of thinking about their role on the farm. 00:29:35.750 --> 00:29:40.150 Moving from just fixing acute problems to proactively 00:29:40.150 --> 00:29:42.390 planning for long -term health and prevention. 00:29:42.829 --> 00:29:44.910 And the article captures this perfectly with 00:29:44.910 --> 00:29:48.130 that quote from Dr. Rachel Budd at Metzger Veterinary 00:29:48.130 --> 00:29:51.569 Services. She really nails the shift, doesn't 00:29:51.569 --> 00:29:53.950 she? She really does. Her quote is so insightful. 00:29:54.069 --> 00:29:55.950 She says, there are actually a lot of things 00:29:55.950 --> 00:29:58.450 that we get called on farm to do as dairy vets 00:29:58.450 --> 00:30:00.869 that the farmer is more than capable of handling 00:30:00.869 --> 00:30:03.230 themselves. We're trying to provide training 00:30:03.230 --> 00:30:05.910 and tools, number one, but also some new technologies 00:30:05.910 --> 00:30:07.650 that will help people be more self -sufficient. 00:30:07.809 --> 00:30:10.329 More self -sufficient, but also more collaborative. 00:30:10.769 --> 00:30:12.950 Exactly. It's about empowering the producer to 00:30:12.950 --> 00:30:15.609 handle more routine stuff confidently, using 00:30:15.609 --> 00:30:18.069 the data, which then frees up the vet's time 00:30:18.069 --> 00:30:20.029 and expertise for the more complex strategic 00:30:20.029 --> 00:30:22.809 overview. So how does this tech, this continuous 00:30:22.809 --> 00:30:25.369 internal monitoring, actually make that shift 00:30:25.369 --> 00:30:27.829 happen in practice? How does it change the day 00:30:27.829 --> 00:30:30.369 -to -day interaction? Well, think about it. Instead 00:30:30.369 --> 00:30:33.029 of most vet interactions being those reactive 00:30:33.029 --> 00:30:36.519 farm calls for individual sick cows, This technology 00:30:36.519 --> 00:30:39.700 allows vets to remotely review continuous data 00:30:39.700 --> 00:30:43.539 streams from the entire herd, or specific groups 00:30:43.539 --> 00:30:45.579 anyway. Right, seeing the trends. Seeing the 00:30:45.579 --> 00:30:47.680 trends, seeing the subtle changes before they 00:30:47.680 --> 00:30:50.640 become big problems. This enables truly proactive 00:30:50.640 --> 00:30:54.829 consultation, often remotely. Vets can move beyond 00:30:54.829 --> 00:30:57.250 just diagnosing and treating the sick ones. They 00:30:57.250 --> 00:31:00.029 become interpreters of complex data, advisors 00:31:00.029 --> 00:31:02.250 recommending preventative strategies before things 00:31:02.250 --> 00:31:05.109 go wrong, and objective evaluators of how well 00:31:05.109 --> 00:31:07.190 treatments are actually working using real -time 00:31:07.190 --> 00:31:09.490 evidence. So instead of me calling the vet saying, 00:31:09.609 --> 00:31:13.089 cow 123 looks off, the vet might call me. Potentially, 00:31:13.210 --> 00:31:15.289 yeah. Imagine your vet calling you and saying, 00:31:15.369 --> 00:31:17.309 hey, I was looking at the data for PEN3, the 00:31:17.309 --> 00:31:19.829 fresh cows, seeing a little dip in rumination 00:31:19.829 --> 00:31:21.789 and water intake across a few of them compared 00:31:21.789 --> 00:31:24.230 to last week. Did you change the ration recently? 00:31:24.589 --> 00:31:26.630 Let's look into that. That's a completely different 00:31:26.630 --> 00:31:28.450 interaction than waiting for you to spot a clinical 00:31:28.450 --> 00:31:31.009 case days later. It's moving from crisis management 00:31:31.009 --> 00:31:34.809 to proactive optimization. Okay, but doesn't 00:31:34.809 --> 00:31:37.799 that kind of wreck? the traditional vet business 00:31:37.799 --> 00:31:41.880 model, the one based on charging per visit, per 00:31:41.880 --> 00:31:45.440 procedure, the billable hour, if they're doing 00:31:45.440 --> 00:31:47.220 more remote advising. That's the million -dollar 00:31:47.220 --> 00:31:50.299 question, isn't it? And yes, it absolutely challenges 00:31:50.299 --> 00:31:52.799 that traditional model. But the forward -thinking 00:31:52.799 --> 00:31:55.460 practices, the ones adapting, are already finding 00:31:55.460 --> 00:31:58.000 new ways. The Bullvine article mentions the rise 00:31:58.000 --> 00:32:00.440 of subscription -based remote monitoring services. 00:32:00.759 --> 00:32:03.240 Like a retainer. Sort of, yeah. It's a bit more 00:32:03.240 --> 00:32:05.559 like a comprehensive health management plan for 00:32:05.559 --> 00:32:08.019 your herd. You pay a regular fee, and in return, 00:32:08.059 --> 00:32:10.220 you get continuous oversight, proactive advice, 00:32:10.339 --> 00:32:13.119 data analysis. The goal shifts. It becomes about 00:32:13.119 --> 00:32:15.160 the vet helping you prevent problems and maintain 00:32:15.160 --> 00:32:18.039 health rather than just charging you to fix things 00:32:18.039 --> 00:32:20.299 after they break. A health insurance that tries 00:32:20.299 --> 00:32:22.359 to prevent claims. That's a perfect way to put 00:32:22.359 --> 00:32:25.519 it. It creates a real win -win. The vet gets 00:32:25.519 --> 00:32:28.700 stable, predictable income and gets to use their 00:32:28.700 --> 00:32:31.619 expertise more strategically. The producer gets 00:32:31.619 --> 00:32:34.460 consistent proactive management, likely fewer 00:32:34.460 --> 00:32:37.640 costly emergencies, better overall herd health, 00:32:37.759 --> 00:32:40.619 and potentially higher productivity. It transforms 00:32:40.619 --> 00:32:42.640 the relationship from just a service provider 00:32:42.640 --> 00:32:46.000 to a true integrated partner in the farm's success. 00:32:46.480 --> 00:32:48.579 Okay, so for everyone listening, the farmers, 00:32:48.720 --> 00:32:50.559 the industry pros, trying to figure out how to 00:32:50.559 --> 00:32:53.000 navigate all this, let's talk practical steps. 00:32:53.220 --> 00:32:55.160 Let's talk about your evidence -based disruption 00:32:55.160 --> 00:32:57.440 roadmap. Because the Bullvine article doesn't 00:32:57.440 --> 00:32:59.619 just lay out the problems and the cool tech. 00:32:59.799 --> 00:33:02.440 It gives you a concrete plan, actionable steps 00:33:02.440 --> 00:33:04.339 you can start thinking about, maybe even taking 00:33:04.339 --> 00:33:06.920 today. Yeah, and what's really useful, I think, 00:33:06.920 --> 00:33:09.180 is that it brings it down into a clear three 00:33:09.180 --> 00:33:11.200 -month strategy. It's not just throwing ideas 00:33:11.200 --> 00:33:13.779 out there. It's a phased approach. Month by month, 00:33:13.920 --> 00:33:16.319 here's how you can start integrating this. All 00:33:16.319 --> 00:33:21.859 right, let's walk through it. Month one, reality 00:33:21.859 --> 00:33:24.359 assessment. What are the key actions producers 00:33:24.359 --> 00:33:27.200 need to take right at the start? Okay, month 00:33:27.200 --> 00:33:29.440 one is all about getting a really honest picture 00:33:29.440 --> 00:33:32.970 of where you are right now. Ground zero. First, 00:33:33.230 --> 00:33:35.369 you absolutely need to calculate your current 00:33:35.369 --> 00:33:38.410 mastitis costs. Use that MSU research range we 00:33:38.410 --> 00:33:41.809 talked about, the $118 to $337 per case, and 00:33:41.809 --> 00:33:44.049 apply it to your own records. What is reactive 00:33:44.049 --> 00:33:46.289 management actually costing you? Get a real number. 00:33:46.450 --> 00:33:49.470 Know your baseline. Exactly. At the same time, 00:33:49.490 --> 00:33:51.390 look at your existing herd management software. 00:33:51.829 --> 00:33:54.269 Can it integrate with these continuous monitoring 00:33:54.269 --> 00:33:57.349 systems? Does it have APIs? Can data flow easily? 00:33:57.509 --> 00:33:59.450 You need to know the tech landscape on your farm. 00:33:59.609 --> 00:34:01.910 And crucially, schedule a sit -down with your 00:34:01.910 --> 00:34:04.700 vet. Not just the usual herd check, but a specific 00:34:04.700 --> 00:34:07.119 conversation about moving beyond purely reactive 00:34:07.119 --> 00:34:09.539 protocols. Talk about how you can partner differently 00:34:09.539 --> 00:34:11.679 using data. It's about setting that foundation 00:34:11.679 --> 00:34:14.380 for change based on your current reality. Okay, 00:34:14.420 --> 00:34:16.360 that makes sense. Month one, know thyself, know 00:34:16.360 --> 00:34:19.059 thy costs. Then month two, technology evaluation. 00:34:19.440 --> 00:34:22.099 What happens next? Right. Month two is when you 00:34:22.099 --> 00:34:23.880 start actively looking at the solutions out there. 00:34:23.940 --> 00:34:25.900 Get demos from the monitoring system providers. 00:34:26.440 --> 00:34:29.119 But, and this is important, focus on the ones 00:34:29.119 --> 00:34:31.699 who have... Published, peer -reviewed research 00:34:31.699 --> 00:34:34.880 validating their claims. Don't just go by the 00:34:34.880 --> 00:34:37.380 glossy brochures. Look for independent proof. 00:34:37.619 --> 00:34:40.920 Evidence -based? Definitely. And review case 00:34:40.920 --> 00:34:43.800 studies. Find examples from farms that are similar 00:34:43.800 --> 00:34:46.820 to yours in size, maybe management style. How 00:34:46.820 --> 00:34:48.500 did they implement it? What challenges did they 00:34:48.500 --> 00:34:51.619 face? What results did they really get? This 00:34:51.619 --> 00:34:53.599 helps you see how it might work in your specific 00:34:53.599 --> 00:34:56.579 situation. And finally, start sketching out an 00:34:56.579 --> 00:34:59.469 implementation timeline. Think strategically. 00:34:59.710 --> 00:35:02.050 How can you get ahead of the curve, start reaping 00:35:02.050 --> 00:35:04.050 those early adopter benefits, whether it's better 00:35:04.050 --> 00:35:06.329 efficiency or maybe access to premium markets 00:35:06.329 --> 00:35:08.889 down the road? Got it. Research, validate, plan. 00:35:09.230 --> 00:35:12.050 Now, month three. Competitive advantage implementation. 00:35:12.489 --> 00:35:14.429 This is where the rubber meets the road. This 00:35:14.429 --> 00:35:16.210 is where you start making it happen. The article 00:35:16.210 --> 00:35:18.190 suggests starting with a subset of your cows. 00:35:18.369 --> 00:35:20.570 Don't necessarily jump in with a whole herd right 00:35:20.570 --> 00:35:22.949 away. A pilot group. Exactly. A pilot group. 00:35:23.110 --> 00:35:25.739 Test it out. Validate that the system performs 00:35:25.739 --> 00:35:28.280 well in your specific barns with your specific 00:35:28.280 --> 00:35:31.019 routines, your team. Make sure it works for you 00:35:31.019 --> 00:35:34.559 before scaling up. Then establish your new baseline 00:35:34.559 --> 00:35:37.420 metrics. Track health costs, treatments, production 00:35:37.420 --> 00:35:40.119 outcomes with the system in place. This way, 00:35:40.179 --> 00:35:42.340 you can accurately measure the impact against 00:35:42.340 --> 00:35:45.159 where you started in month one. See the ROI clearly. 00:35:45.380 --> 00:35:48.159 Measure the change. Measure the change. And probably 00:35:48.159 --> 00:35:51.230 the most critical piece, train your staff. This 00:35:51.230 --> 00:35:53.389 isn't just about installing hardware. Your team 00:35:53.389 --> 00:35:55.449 needs to learn how to interpret this new stream 00:35:55.449 --> 00:35:58.210 of data, how to trust it, how to act on it differently 00:35:58.210 --> 00:36:00.909 than just relying on visual cues. It's a skill 00:36:00.909 --> 00:36:03.409 shift. Empowering them to use these insights 00:36:03.409 --> 00:36:05.510 effectively is key to getting the full value. 00:36:05.670 --> 00:36:08.110 This whole three -month plan gives you a structured 00:36:08.110 --> 00:36:10.610 way to move from reactive to proactive, setting 00:36:10.610 --> 00:36:12.849 yourself up for the future. So as we kind of 00:36:12.849 --> 00:36:14.909 pull all these threads together from this deep 00:36:14.909 --> 00:36:17.349 dive into... Cattle censors, silent profits, 00:36:17.630 --> 00:36:20.269 loud returns. The main takeaway from the Bullvine 00:36:20.269 --> 00:36:22.789 article feels really stark, almost unavoidable, 00:36:22.789 --> 00:36:25.090 doesn't it? This industry habit, this addiction 00:36:25.090 --> 00:36:28.550 maybe to reactive medicine. It's not just inefficient. 00:36:28.710 --> 00:36:31.429 It's actively propping up that inefficiency and, 00:36:31.550 --> 00:36:34.309 frankly, hurting the long -term competitiveness 00:36:34.309 --> 00:36:36.750 of farms. Yeah, it's a strong message. And what 00:36:36.750 --> 00:36:39.329 makes it so compelling are the documented benefits 00:36:39.329 --> 00:36:42.050 the article lays out. We're not talking hypotheticals 00:36:42.050 --> 00:36:44.289 here. Early adopters are capturing that $210 00:36:44.289 --> 00:36:47.670 per cow in extra returns. They are seeing that 00:36:47.670 --> 00:36:51.489 incredible 7 .8x ROI in some cases, like Amberhorn 00:36:51.489 --> 00:36:53.389 Leitermans. While others are still debating. 00:36:53.510 --> 00:36:55.690 While others are still debating, exactly. Meanwhile, 00:36:55.809 --> 00:36:57.769 the regulatory world is changing, pushing for 00:36:57.769 --> 00:37:00.030 less antibiotic use. Consumers are demanding 00:37:00.030 --> 00:37:02.570 different products and creating real market premiums 00:37:02.570 --> 00:37:04.389 that these early adopters are already grabbing. 00:37:04.590 --> 00:37:07.360 The context is shifting rapidly. Let's circle 00:37:07.360 --> 00:37:09.199 right back to that very first statistic we talked 00:37:09.199 --> 00:37:12.119 about from Michigan State. That average mastitis 00:37:12.119 --> 00:37:16.480 cost $118 up to $337 per case. And remember, 00:37:16.599 --> 00:37:20.159 87 % of that often is just milk discard. That 00:37:20.159 --> 00:37:22.099 number isn't just some industry average anymore. 00:37:22.340 --> 00:37:25.139 For you listening right now, that range is your 00:37:25.139 --> 00:37:27.659 personal benchmark. It's the real cost of sticking 00:37:27.659 --> 00:37:30.340 with purely reactive management versus investing 00:37:30.340 --> 00:37:32.539 in this predictive tech. And this really leads 00:37:32.539 --> 00:37:35.440 to the final crucial point. When you see documented 00:37:35.440 --> 00:37:38.519 benefits like $210 per cow and added returns, 00:37:38.760 --> 00:37:41.800 another $190 per cow, extra income, plus yield 00:37:41.800 --> 00:37:44.420 bumps like 330 kilos of solids corrected milk. 00:37:45.460 --> 00:37:47.539 This isn't just a minor improvement. It's not 00:37:47.539 --> 00:37:50.019 just another tool in the toolbox. It genuinely 00:37:50.019 --> 00:37:52.159 represents arguably the single biggest opportunity 00:37:52.159 --> 00:37:54.420 for operational advantage that the dairy industry 00:37:54.420 --> 00:37:57.099 has seen in decades. The economic argument, when 00:37:57.099 --> 00:37:58.760 you look at the current costs and the document 00:37:58.760 --> 00:38:01.400 potential gains, is just overwhelming. So, OK, 00:38:01.460 --> 00:38:03.019 here's the final thought we want to leave you 00:38:03.019 --> 00:38:05.699 with, something to really chew on. The big question 00:38:05.699 --> 00:38:07.639 isn't if this transformation in dairy health 00:38:07.639 --> 00:38:09.800 management is going to happen. The data, the 00:38:09.800 --> 00:38:11.619 market forces, they make it pretty clear it's 00:38:11.619 --> 00:38:14.320 inevitable. The real question is, will you lead 00:38:14.320 --> 00:38:16.820 it or will you be forced to follow? And if you 00:38:16.820 --> 00:38:19.780 want one immediate, concrete, actionable thing 00:38:19.780 --> 00:38:22.119 you can do right now after listening to this, 00:38:22.179 --> 00:38:25.579 here it is. At your very next hurt health check, 00:38:25.739 --> 00:38:28.000 sit down with your vet and do the math on your 00:38:28.000 --> 00:38:31.300 last three mastitis cases. Use that MSU framework, 00:38:31.380 --> 00:38:35.539 that $118 to $337 range as your guide. And don't 00:38:35.539 --> 00:38:38.360 forget to factor in that $65 per day cost for 00:38:38.360 --> 00:38:40.019 extended treatment duration the article highlighted. 00:38:40.519 --> 00:38:43.780 Calculate your specific cost, that number. right 00:38:43.780 --> 00:38:46.099 there on paper. That's your true personalized 00:38:46.099 --> 00:38:48.559 ROI benchmark for investing in predictive health 00:38:48.559 --> 00:38:50.539 technology. In an industry where the leaders 00:38:50.539 --> 00:38:53.239 are already proving 7 .8x returns and building 00:38:53.239 --> 00:38:55.119 huge advantages while others stick to reactive 00:38:55.119 --> 00:38:57.579 protocols, well, waiting isn't just expensive 00:38:57.579 --> 00:39:00.179 anymore. It's becoming strategically devastating. 00:39:00.639 --> 00:39:03.679 The evidence is overwhelming. The economics are 00:39:03.679 --> 00:39:06.679 undeniable. The question isn't whether smart 00:39:06.679 --> 00:39:09.019 sensor technology will become standard practice 00:39:09.019 --> 00:39:11.880 in the dairy industry. It's whether you'll be 00:39:11.880 --> 00:39:14.219 an early adopter capturing competitive advantages 00:39:14.219 --> 00:39:18.980 or a late adopter paying catch -up costs. This 00:39:18.980 --> 00:39:21.219 has been the Bullvine Podcast, where we don't 00:39:21.219 --> 00:39:23.820 just report on industry changes, we help you 00:39:23.820 --> 00:39:26.260 get ahead of them. For the complete analysis, 00:39:26.579 --> 00:39:29.760 including detailed economic breakdowns, implementation 00:39:29.760 --> 00:39:33.619 roadmaps, and producer testimonials, visit www 00:39:33.619 --> 00:39:37.099 .thebullvine .com and read our full investigation, 00:39:37.500 --> 00:39:41.250 Silent Losses, Loud Profits. You'll also find 00:39:41.250 --> 00:39:43.650 our exclusive calculator to determine your specific 00:39:43.650 --> 00:39:46.449 ROI benchmark based on your current mastitis 00:39:46.449 --> 00:39:49.309 costs. If this episode challenged your thinking 00:39:49.309 --> 00:39:51.650 or confirmed your suspicions about the future 00:39:51.650 --> 00:39:53.909 of herd health, share it with fellow producers. 00:39:54.190 --> 00:39:57.190 The Bullvine reaches over 400 ,000 dairy professionals 00:39:57.190 --> 00:40:00.050 monthly because we're willing to ask the hard 00:40:00.050 --> 00:40:03.130 questions and challenge the sacred cows, literally 00:40:03.130 --> 00:40:07.190 and figuratively. Subscribe to The Bullvine Podcast 00:40:07.190 --> 00:40:10.559 wherever you get your shows. and join our community 00:40:10.559 --> 00:40:13.420 of forward -thinking dairy professionals at thebullvine 00:40:13.420 --> 00:40:17.280 .com. Remember, in an industry where change is 00:40:17.280 --> 00:40:20.139 accelerating and margins are tightening, the 00:40:20.139 --> 00:40:22.760 cost of staying informed isn't just about knowledge, 00:40:22.940 --> 00:40:26.539 it's about survival. Until next time, this is 00:40:26.539 --> 00:40:29.079 The Bullvine, fostering transparency, sparking 00:40:29.079 --> 00:40:31.659 essential conversations, and driving positive 00:40:31.659 --> 00:40:34.980 change in the dairy industry. Keep pushing boundaries.