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 --> 00:01:03.500 we're sparking Welcome back to the Bullvine Podcast, 00:01:03.719 --> 00:01:05.599 where we cut through dairy industry noise to 00:01:05.599 --> 00:01:07.760 get you the insights that actually matter for 00:01:07.760 --> 00:01:10.480 your operation. Today, we are focused on something 00:01:10.480 --> 00:01:13.299 that, frankly, is draining hundreds of thousands 00:01:13.299 --> 00:01:15.760 of dollars from the average producer's bank account, 00:01:15.900 --> 00:01:19.599 maybe without them even seeing the specific entry 00:01:19.599 --> 00:01:21.780 on the ledger. We're talking about herd health 00:01:21.780 --> 00:01:25.480 failure. And today we're diving deep into a feature 00:01:25.480 --> 00:01:27.840 piece that's been generating some serious buzz 00:01:27.840 --> 00:01:30.400 across the industry. This isn't just a technical 00:01:30.400 --> 00:01:32.540 article, you know, this one's got layers and 00:01:32.540 --> 00:01:35.280 some hard, surprising truths, really. It's going 00:01:35.280 --> 00:01:38.819 to force farmers, especially those who are. struggling 00:01:38.819 --> 00:01:41.459 to break even to fundamentally rethink how they 00:01:41.459 --> 00:01:44.620 approach cow care, specifically around that relentless 00:01:44.620 --> 00:01:47.900 pattern of repeat mastitis cases. Yeah, we all 00:01:47.900 --> 00:01:49.739 know that frustrating pattern, don't we? The 00:01:49.739 --> 00:01:52.000 cow that gets treated seems better, maybe for 00:01:52.000 --> 00:01:54.500 a bit, only to flare up again a month later. 00:01:54.579 --> 00:01:56.780 It really is the definition of insanity on the 00:01:56.780 --> 00:01:59.299 dairy, doing the same thing over and over and 00:01:59.299 --> 00:02:01.939 expecting a different result. That cycle, it 00:02:01.939 --> 00:02:04.280 shrinks your milk check, drives up your antibiotic 00:02:04.280 --> 00:02:07.239 bill. But what you might not realize is the sheer... 00:02:08.509 --> 00:02:10.389 financial gravity of that situation, not just 00:02:10.389 --> 00:02:12.610 for your farm, but for the whole industry. Exactly. 00:02:12.669 --> 00:02:14.949 And that's precisely why this discussion matters 00:02:14.949 --> 00:02:17.889 right now. We are at a pivot point, truly. The 00:02:17.889 --> 00:02:20.569 industry is facing simultaneous, really intense 00:02:20.569 --> 00:02:23.169 pressures. On one side, you've got regulatory 00:02:23.169 --> 00:02:26.409 mandates, some here, some coming, demanding lower 00:02:26.409 --> 00:02:28.930 antibiotic use. Big concerns over resistance 00:02:28.930 --> 00:02:32.009 there. On the other side, you have poor, sometimes 00:02:32.009 --> 00:02:34.210 even negative economic returns when sticking 00:02:34.210 --> 00:02:36.389 to those traditional costly treatments that, 00:02:36.409 --> 00:02:38.229 well, they just don't deliver lasting solutions. 00:02:38.349 --> 00:02:41.250 You're losing money and pretty soon you might 00:02:41.250 --> 00:02:42.750 not even. even be allowed to treat the same way 00:02:42.750 --> 00:02:46.509 anyway. The stakes here are truly astronomical. 00:02:46.830 --> 00:02:48.909 We pulled the research, looked at Wageningen 00:02:48.909 --> 00:02:50.909 University and the Dutch Agricultural Ministry 00:02:50.909 --> 00:02:53.770 data, and the figures are just staggering. Their 00:02:53.770 --> 00:02:56.669 analysis suggests that collectively, the U .S. 00:02:56.689 --> 00:02:58.810 dairy industry is dealing with a $2 .7 billion 00:02:58.810 --> 00:03:02.099 national hit. It's a billion with a B. all in 00:03:02.099 --> 00:03:04.960 hidden losses tied to these chronic herd health 00:03:04.960 --> 00:03:08.000 failures. Now, a number that big, it almost becomes 00:03:08.000 --> 00:03:10.319 meaningless, right? It's just abstract, big data. 00:03:10.419 --> 00:03:12.419 It is abstract, yeah, until you translate it 00:03:12.419 --> 00:03:14.060 directly to the farm gate. And that's what we 00:03:14.060 --> 00:03:15.840 need to do. If you're running a standard, say, 00:03:15.919 --> 00:03:19.719 200 -cow operation, that huge national loss breaks 00:03:19.719 --> 00:03:22.159 down directly into an almost invisible but constant 00:03:22.159 --> 00:03:24.360 financial drag on your business. The modeling 00:03:24.360 --> 00:03:27.599 shows this hidden cost can easily top $160 ,000 00:03:27.599 --> 00:03:30.879 a year for an average performing herd. $160 ,000. 00:03:31.050 --> 00:03:34.050 Wow. That is immediate measurable capital just. 00:03:35.449 --> 00:03:37.449 Evaporating. And where's it going? It's lost 00:03:37.449 --> 00:03:39.409 milk that gets dumped down the drain. It's those 00:03:39.409 --> 00:03:41.710 premature culls that forced you to buy expensive 00:03:41.710 --> 00:03:44.090 replacements you weren't planning for. And it's 00:03:44.090 --> 00:03:46.129 the sheer wasted labor time, day after day, spent 00:03:46.129 --> 00:03:48.550 dealing with the sick pen, treating chronic issues 00:03:48.550 --> 00:03:51.270 that frankly never seem to fully resolve. That 00:03:51.270 --> 00:03:54.289 figure, $160 ,000. Well, that's the difference 00:03:54.289 --> 00:03:56.069 between surviving a tough year and maybe having 00:03:56.069 --> 00:03:57.669 the capital to buy that new piece of equipment 00:03:57.669 --> 00:04:00.650 or pay down some debt. It's huge. And here is 00:04:00.650 --> 00:04:02.449 where we get into the controversy, because this 00:04:02.449 --> 00:04:06.800 massive quantifiable financial failure. It fundamentally 00:04:06.800 --> 00:04:09.840 challenges conventional wisdom. We've all been 00:04:09.840 --> 00:04:12.180 trained probably since we were kids helping out 00:04:12.180 --> 00:04:15.419 to hit clinical mastitis hard 100 percent of 00:04:15.419 --> 00:04:17.459 the time right with a course of broad spectrum 00:04:17.459 --> 00:04:20.500 antibiotics. But if that protocol actually worked 00:04:20.500 --> 00:04:22.930 as well as we thought. Why are we collectively 00:04:22.930 --> 00:04:27.310 losing $2 .7 billion? The answer, it seems, lies 00:04:27.310 --> 00:04:29.810 in the science of these bacterial fortresses 00:04:29.810 --> 00:04:32.329 and understanding why our traditional, you know, 00:04:32.329 --> 00:04:34.910 tried and true antibiotic tools simply cannot 00:04:34.910 --> 00:04:37.269 breach those walls effectively. We are essentially 00:04:37.269 --> 00:04:39.970 fighting a modern war with old technology. OK, 00:04:40.029 --> 00:04:42.629 let's really unpack that $160 ,000 price tag, 00:04:42.730 --> 00:04:44.389 because that's the number that should keep producers 00:04:44.389 --> 00:04:46.629 up at night. We've established the failure rate 00:04:46.629 --> 00:04:48.649 is high. Studies coming out of places like the 00:04:48.649 --> 00:04:51.160 University of Wisconsin -Cornell. They're consistent. 00:04:51.339 --> 00:04:53.500 Current traditional mastitis treatments often 00:04:53.500 --> 00:04:55.360 fail to deliver lasting cures. You get these 00:04:55.360 --> 00:04:57.100 recurrence rates that just severely undercut 00:04:57.100 --> 00:04:59.100 profitability. Let's get specific on where those 00:04:59.100 --> 00:05:01.259 costs pile up. Right. And this is where the paper 00:05:01.259 --> 00:05:03.319 trail often goes cold for most farmers because 00:05:03.319 --> 00:05:05.540 these costs are spread out. They're not one line 00:05:05.540 --> 00:05:09.139 item. But let's model just a single chronic cow. 00:05:09.339 --> 00:05:12.040 OK, let's say you treat her three times for clinical 00:05:12.040 --> 00:05:15.319 mastitis and just one lactation. Then you finally 00:05:15.319 --> 00:05:17.720 call her because her SEC is just chronically 00:05:17.720 --> 00:05:20.649 high. Look at the specific costs stacking up 00:05:20.649 --> 00:05:23.610 for just that one animal. Okay. First, the drugs 00:05:23.610 --> 00:05:25.610 themselves. The standard course of intramemory 00:05:25.610 --> 00:05:28.730 antibiotics. It isn't cheap. Maybe $20 to $40 00:05:28.730 --> 00:05:31.009 per dose per quarter, depending. So if you treat 00:05:31.009 --> 00:05:32.670 her three separate times, you've easily spent 00:05:32.670 --> 00:05:36.069 maybe $100, $120 just on the drug. And that's 00:05:36.069 --> 00:05:38.050 ignoring any initial diagnostics you might have 00:05:38.050 --> 00:05:40.519 done. But honestly. That's the smallest piece 00:05:40.519 --> 00:05:42.920 of the puzzle. The drug cost is minor compared 00:05:42.920 --> 00:05:44.519 to the rest. Think about the dumped milk. You're 00:05:44.519 --> 00:05:47.160 dumping milk for, what, 7 to 10 days after each 00:05:47.160 --> 00:05:48.959 treatment? Sometimes longer, depending on the 00:05:48.959 --> 00:05:51.120 drug and testing. If that cow is a decent producer, 00:05:51.399 --> 00:05:54.439 maybe 80 pounds a day, and milk is, let's say, 00:05:54.540 --> 00:05:57.560 $20 a hundredweight, you've lost $16 a day right 00:05:57.560 --> 00:05:59.540 there. Over three treatments, that could be 21, 00:05:59.620 --> 00:06:01.680 maybe even 30 days of dumped milk. That's easily 00:06:01.680 --> 00:06:04.860 over $330, maybe $400 in lost revenue per cow, 00:06:04.959 --> 00:06:07.000 just from milk you couldn't sell. Now multiply 00:06:07.000 --> 00:06:09.730 that by, say, the 50 to 80. 80 cows in your herd 00:06:09.730 --> 00:06:12.189 that might experience chronic or repeat mastitis 00:06:12.189 --> 00:06:14.870 over a year. The milk loss alone starts creeping 00:06:14.870 --> 00:06:17.709 towards $20 ,000 or more before you even think 00:06:17.709 --> 00:06:20.970 about culling. And then there's the labor. Ugh, 00:06:21.230 --> 00:06:23.329 this is the hidden monster, isn't it? Every single 00:06:23.329 --> 00:06:25.569 time you pull a cow into the sick pen, treat 00:06:25.569 --> 00:06:28.430 her, monitor her, dump her milk separately, clean 00:06:28.430 --> 00:06:30.449 the equipment, reintroduce her, you're looking 00:06:30.449 --> 00:06:32.730 at a minimum of three to four hours of labor. 00:06:33.040 --> 00:06:34.899 probably more, spread across that week or so. 00:06:35.180 --> 00:06:37.879 If you value your time or your hired hand's time 00:06:37.879 --> 00:06:41.480 at, say, $25 an hour, that's easily another $100 00:06:41.480 --> 00:06:43.959 per treatment incident in just labor. Repeat 00:06:43.959 --> 00:06:47.459 it three times for that chronic cow. That's $300 00:06:47.459 --> 00:06:50.199 in essentially wasted nursing time for one animal 00:06:50.199 --> 00:06:52.100 that doesn't get better long term. Right. And 00:06:52.100 --> 00:06:54.180 you often end up right back where you started 00:06:54.180 --> 00:06:56.639 or worse. That's the core frustration for the 00:06:56.639 --> 00:06:58.660 producer, isn't it? You invest the labor, you 00:06:58.660 --> 00:07:00.319 invest the supplies, you follow the protocol, 00:07:00.480 --> 00:07:02.740 and the animal either ends up back in the chronic 00:07:02.740 --> 00:07:04.959 pen or you just make that hard decision to call 00:07:04.959 --> 00:07:07.420 her early. Because the return on that repeated 00:07:07.420 --> 00:07:09.680 investment just isn't there. That chronic cow 00:07:09.680 --> 00:07:12.439 becomes the engine driving that huge $160 ,000 00:07:12.439 --> 00:07:15.250 annual loss figure we talked about. And that's 00:07:15.250 --> 00:07:17.629 the insidious cycle. We often talk about early 00:07:17.629 --> 00:07:19.889 culling in terms of lost future production, which 00:07:19.889 --> 00:07:23.149 is true. But we need to account for the immediate 00:07:23.149 --> 00:07:26.370 measurable cash outflow, the replacement cost. 00:07:26.509 --> 00:07:28.730 It's real money going out the door today. If 00:07:28.730 --> 00:07:30.149 you have to replace an animal that really should 00:07:30.149 --> 00:07:31.990 have given you maybe five, six lactations, but 00:07:31.990 --> 00:07:33.509 she only gave you two because of utter health, 00:07:33.629 --> 00:07:36.610 you now have to spend upwards of $1 ,800, maybe 00:07:36.610 --> 00:07:40.009 $2 ,200 immediately to buy or develop a replacement 00:07:40.009 --> 00:07:42.009 heifer just to maintain your herd size. That's 00:07:42.009 --> 00:07:44.420 a huge hit. And while the financial risk, the 00:07:44.420 --> 00:07:46.620 total dollar amount, obviously magnifies for 00:07:46.620 --> 00:07:49.379 a massive 1000 cow operation where those losses 00:07:49.379 --> 00:07:52.000 could easily top seven figures, we really need 00:07:52.000 --> 00:07:54.100 to stress that it's the percentage loss that 00:07:54.100 --> 00:07:57.319 is just devastating for smaller farms. $160 ,000 00:07:57.319 --> 00:07:59.819 loss might represent a manageable risk, maybe 00:07:59.819 --> 00:08:02.379 for a multi -thousand head herd with deeper pockets, 00:08:02.639 --> 00:08:05.579 but for a 200 cow family farm operating on already 00:08:05.579 --> 00:08:08.519 thin margins, that $160 ,000 is potentially farm 00:08:08.519 --> 00:08:10.620 ending debt that just accumulates year after 00:08:10.620 --> 00:08:13.569 year. The failure of The old protocol hits everyone, 00:08:13.689 --> 00:08:15.730 yeah, but it cripples the smaller producer much, 00:08:15.810 --> 00:08:17.970 much faster. So we know that traditional antibiotic 00:08:17.970 --> 00:08:21.870 treatments fail way too often. If the money is 00:08:21.870 --> 00:08:24.329 bleeding out this badly, why are farmers still 00:08:24.329 --> 00:08:27.670 so reliant on this method? The industry reality 00:08:27.670 --> 00:08:30.329 check starts with recognizing that the push away 00:08:30.329 --> 00:08:32.809 from antibiotics, it isn't just about regulatory 00:08:32.809 --> 00:08:35.309 pressure anymore, though that's part of it, it's 00:08:35.309 --> 00:08:37.610 becoming a necessity because the science has 00:08:37.610 --> 00:08:40.070 fundamentally changed how we view infection, 00:08:40.230 --> 00:08:43.519 particularly. chronic infection. Yeah, it's recognizing 00:08:43.519 --> 00:08:46.039 the myth of antibiotic dominance, as some are 00:08:46.039 --> 00:08:48.580 calling it. For decades, the basic assumption 00:08:48.580 --> 00:08:50.720 was that if you just hit it hard enough with 00:08:50.720 --> 00:08:52.820 the right concentration of antibiotics applied 00:08:52.820 --> 00:08:54.980 aggressively, you could overcome pretty much 00:08:54.980 --> 00:08:57.960 any infection. We treated bacteria like they 00:08:57.960 --> 00:09:00.659 were just individual, free -floating, independent 00:09:00.659 --> 00:09:04.590 cells. easy targets. But the science, especially 00:09:04.590 --> 00:09:06.929 the work detailed in our source material, it 00:09:06.929 --> 00:09:09.549 proves that assumption wrong, especially for 00:09:09.549 --> 00:09:11.610 chronic infections that have had time to really 00:09:11.610 --> 00:09:14.070 dig in and set up shop. And this brings us to 00:09:14.070 --> 00:09:16.190 the core science that every single producer really 00:09:16.190 --> 00:09:18.950 needs to understand now. Biofilms and quorum 00:09:18.950 --> 00:09:21.950 sensing, or QS. We introduced them quickly earlier, 00:09:22.009 --> 00:09:24.129 but let's go a bit deeper here because it's critical. 00:09:24.289 --> 00:09:28.269 Okay. biofilms. They are not just simple fortresses. 00:09:28.269 --> 00:09:31.269 Think of them as highly structured, self -produced, 00:09:31.269 --> 00:09:33.730 protective communities the bacteria build around 00:09:33.730 --> 00:09:36.710 themselves, often deep inside the utter tissue. 00:09:37.340 --> 00:09:40.419 Imagine, like, bacterial high -rise condominiums 00:09:40.419 --> 00:09:43.659 completely encased in this thick, slimy polymer 00:09:43.659 --> 00:09:46.740 shell they manufacture themselves. The sources 00:09:46.740 --> 00:09:49.580 refer to this structure technically as an extracellular 00:09:49.580 --> 00:09:53.100 polymeric substance, or EPS matrix. It's basically 00:09:53.100 --> 00:09:56.120 bacterial slime armor. And that EPS matrix, that 00:09:56.120 --> 00:09:58.240 slime armor, is the key failure point for our 00:09:58.240 --> 00:10:00.700 traditional treatments, isn't it? This slimy, 00:10:00.700 --> 00:10:03.080 sticky shield is made of stuff like polysaccharides 00:10:03.080 --> 00:10:05.700 and proteins. It does two critical things. First, 00:10:05.779 --> 00:10:27.559 it physically blocks. Exactly. And then you add 00:10:27.559 --> 00:10:30.299 quorum sensing on top of that. This is the sophisticated 00:10:30.299 --> 00:10:33.220 internal messaging system the bacteria use to 00:10:33.220 --> 00:10:35.720 communicate within that fortress. We're talking 00:10:35.720 --> 00:10:38.740 about chemical signals, specific molecules, often 00:10:38.740 --> 00:10:41.399 called autoinducers, that they release into their 00:10:41.399 --> 00:10:43.950 local environment. They basically use these signals 00:10:43.950 --> 00:10:47.250 to take a census. They don't launch a major attack 00:10:47.250 --> 00:10:49.909 or build the thickest fortress walls until they 00:10:49.909 --> 00:10:52.809 reach a certain population density, until they 00:10:52.809 --> 00:10:55.149 achieve a quorum. Wait, wait, that part about 00:10:55.149 --> 00:10:57.629 density is fascinating. They aren't just sitting 00:10:57.629 --> 00:10:59.570 there passively, they're actively monitoring 00:10:59.570 --> 00:11:01.870 their numbers. So once they realize, hey, there 00:11:01.870 --> 00:11:04.110 are enough of us now, we've reached the quorum, 00:11:04.230 --> 00:11:06.750 that's when they coordinate their defenses. That's 00:11:06.750 --> 00:11:08.629 when they launch a synchronized virulence attack, 00:11:08.769 --> 00:11:11.750 producing toxins, and crucially, ramp up production. 00:11:11.789 --> 00:11:14.870 of that protective EPS matrix, that sticky antibiotic 00:11:14.870 --> 00:11:17.899 -proof fortress wall. That's precisely it. And 00:11:17.899 --> 00:11:20.399 that is the critical failure point of regular 00:11:20.399 --> 00:11:22.539 antibiotics when dealing with these established 00:11:22.539 --> 00:11:25.399 infections. Sure, the antibiotic might kill some 00:11:25.399 --> 00:11:27.159 of the free -floating bacteria, the planktonic 00:11:27.159 --> 00:11:29.240 ones, the individuals who haven't joined the 00:11:29.240 --> 00:11:30.799 fortress yet. Maybe it knocks the population 00:11:30.799 --> 00:11:33.840 back temporarily. But they typically do not break 00:11:33.840 --> 00:11:36.240 this bacterial communication chain. They don't 00:11:36.240 --> 00:11:38.320 disrupt the quorum sensing system. They leave 00:11:38.320 --> 00:11:40.179 the coordinating command structure and the protective 00:11:40.179 --> 00:11:43.519 fortress wall largely intact. So the moment that 00:11:43.519 --> 00:11:46.090 antibiotic concentration drops below low effective 00:11:46.090 --> 00:11:48.889 levels, the remaining bacteria still protected 00:11:48.889 --> 00:11:51.850 by their EPS matrix, just regroup, start communicating 00:11:51.850 --> 00:11:55.049 again and reestablish the infection, which leads 00:11:55.049 --> 00:11:57.490 directly to that inevitable recurrence. You only 00:11:57.490 --> 00:11:59.389 treated the symptom, maybe knocked back the fire 00:11:59.389 --> 00:12:01.870 temporarily, but you didn't address the underlying 00:12:01.870 --> 00:12:04.309 cause, the coordinated bacterial community. OK, 00:12:04.389 --> 00:12:06.389 so why did it take this long then for the dairy 00:12:06.389 --> 00:12:08.509 industry to really integrate this understanding? 00:12:08.809 --> 00:12:10.970 I mean, biofilm science isn't brand new, is it? 00:12:11.210 --> 00:12:14.789 Why are we only now seeing solutions specifically? 00:12:14.990 --> 00:12:17.350 targeted at this mechanism when farmers have 00:12:17.350 --> 00:12:20.269 apparently been losing this $2 .7 billion collectively 00:12:20.269 --> 00:12:23.559 for decades. Yeah, that's a tough question. It 00:12:23.559 --> 00:12:25.519 probably has a few answers. Part of it is likely 00:12:25.519 --> 00:12:27.879 regulatory inertia. You know, we relied on the 00:12:27.879 --> 00:12:29.860 broad spectrum approach for so long because, 00:12:29.940 --> 00:12:33.080 frankly, it was effective enough for many acute 00:12:33.080 --> 00:12:35.159 early infections. It seemed to work, mostly. 00:12:35.320 --> 00:12:38.019 Part of it is the cost and complexity of R &D. 00:12:38.559 --> 00:12:40.919 Developing targeted non -antibiotic solutions 00:12:40.919 --> 00:12:44.139 based on disrupting communication, that's complex 00:12:44.139 --> 00:12:47.110 biological work. But the sources strongly suggest 00:12:47.110 --> 00:12:49.210 that the combined pressure of regulatory phase 00:12:49.210 --> 00:12:52.309 -outs of certain key antibiotics, plus this really 00:12:52.309 --> 00:12:55.330 catastrophic financial data like those Wagening 00:12:55.330 --> 00:12:57.710 numbers hitting the headlines, finally forced 00:12:57.710 --> 00:13:00.389 the smart money, the innovators, to look seriously 00:13:00.389 --> 00:13:02.590 for solutions that don't just rely on chemical 00:13:02.590 --> 00:13:04.409 overpowering. They needed something smarter. 00:13:04.710 --> 00:13:07.149 Right. If the problem is sophisticated communication 00:13:07.149 --> 00:13:10.210 and coordinated defense, then the solution has 00:13:10.210 --> 00:13:12.649 to be about causing communication failure. Makes 00:13:12.649 --> 00:13:14.789 sense. This is where these targeted treatments, 00:13:14.990 --> 00:13:17.549 specifically quorum sensing inhibition or QSI 00:13:17.549 --> 00:13:19.830 technology, are really starting to gain traction. 00:13:20.379 --> 00:13:22.679 Companies like AHV International are mentioned 00:13:22.679 --> 00:13:25.720 as pioneers in this space, specifically targeting 00:13:25.720 --> 00:13:28.200 that bacterial communication system itself. And 00:13:28.200 --> 00:13:30.539 this is where the deeper science is so critical 00:13:30.539 --> 00:13:33.659 for our listeners to grasp. QSI is not an antibiotic. 00:13:33.919 --> 00:13:36.500 Let's be perfectly clear on that. It doesn't 00:13:36.500 --> 00:13:38.440 necessarily kill the bacteria directly through 00:13:38.440 --> 00:13:41.059 chemical poisoning like an antibiotic does. Instead, 00:13:41.259 --> 00:13:44.720 it works by mimicking or jamming the bacteria's 00:13:44.720 --> 00:13:47.279 own signaling molecules. Think of it less like 00:13:47.279 --> 00:13:54.549 radio static, maybe, and more like insert. So 00:13:54.549 --> 00:13:57.470 by introducing these specific inhibitory compounds, 00:13:57.789 --> 00:14:00.350 and it sounds like in some cases they're modeled 00:14:00.350 --> 00:14:02.509 after natural antagonists found in plants or 00:14:02.509 --> 00:14:05.909 other microbes like certain furanones, the QSI 00:14:05.909 --> 00:14:08.600 literally jumbles the bacterial messages. The 00:14:08.600 --> 00:14:11.139 bacteria basically can no longer accurately determine 00:14:11.139 --> 00:14:13.419 their own density. They can't coordinate their 00:14:13.419 --> 00:14:15.679 defense effectively. And they certainly can't 00:14:15.679 --> 00:14:18.620 launch that synchronized virulent attack. They 00:14:18.620 --> 00:14:21.940 lose the ability to properly build and maintain 00:14:21.940 --> 00:14:24.620 the structural integrity of the biofilm fortress. 00:14:24.940 --> 00:14:27.740 Exactly. By disrupting that coordinated defense, 00:14:28.000 --> 00:14:30.039 the bacteria are essentially reverted back to 00:14:30.039 --> 00:14:32.360 behaving like individual disorganized cells again. 00:14:32.460 --> 00:14:34.759 Less like an army, more like a confused mob. 00:14:35.039 --> 00:14:37.159 They can no longer hold their formation. The 00:14:37.159 --> 00:14:39.389 biofilm. structure weakens, it starts to dissolve 00:14:39.389 --> 00:14:41.789 or become porous, and that is the crucial moment. 00:14:41.929 --> 00:14:44.129 That disruption allows the cow's own natural, 00:14:44.250 --> 00:14:46.350 healthy immune defenses, you know, the white 00:14:46.350 --> 00:14:48.590 blood cells, the macrophages, to finally step 00:14:48.590 --> 00:14:51.049 in effectively. They can now penetrate the weakened 00:14:51.049 --> 00:14:53.269 stronghold, break down the remaining bacteria, 00:14:53.450 --> 00:14:56.009 and clear the infection properly. often without 00:14:56.009 --> 00:14:57.710 needing that high -dose chemical intervention 00:14:57.710 --> 00:15:00.509 we relied on before. So it's really about empowering 00:15:00.509 --> 00:15:03.029 the cow's existing defenses. It's working with 00:15:03.029 --> 00:15:05.190 the animal's biology, not just trying to overpower 00:15:05.190 --> 00:15:07.950 the infection with chemicals that the bacteria 00:15:07.950 --> 00:15:11.129 have already, in many cases, learned how to defeat 00:15:11.129 --> 00:15:13.960 or shield themselves from. But... This is a really 00:15:13.960 --> 00:15:15.820 important, but here's the practical context. 00:15:15.919 --> 00:15:18.620 It's crucial. QSI or any targeted technology 00:15:18.620 --> 00:15:21.399 like it is not a magic bullet. It won't fix a 00:15:21.399 --> 00:15:23.879 poorly managed farm. The source material is absolutely 00:15:23.879 --> 00:15:26.840 adamant about this. This targeted approach must 00:15:26.840 --> 00:15:29.519 be paired with solid foundational dairy management. 00:15:29.759 --> 00:15:32.379 If your cows are walking around and muck up to 00:15:32.379 --> 00:15:34.559 their hawks, if your feed program is deficient 00:15:34.559 --> 00:15:36.679 in key immune supporting vitamins and minerals, 00:15:36.860 --> 00:15:39.379 or if your heat abatement strategy is inadequate, 00:15:39.759 --> 00:15:42.580 well, no amount of fancy QI technology is going. 00:15:42.639 --> 00:15:44.820 to magically save you. Yeah, it sounds like it's 00:15:44.820 --> 00:15:46.620 more of an efficiency tool for the cow's immune 00:15:46.620 --> 00:15:49.200 system. It takes your existing good management, 00:15:49.340 --> 00:15:52.059 things like cleaner, drier barn environments, 00:15:52.340 --> 00:15:54.720 optimized feeding that really supports overall 00:15:54.720 --> 00:15:57.200 immune function, tighter dry cow care protocols, 00:15:57.500 --> 00:16:00.000 and it elevates the effectiveness of that management 00:16:00.000 --> 00:16:03.179 against these tougher chronic challenges. But 00:16:03.179 --> 00:16:04.779 if you're not managing well in the first place, 00:16:04.879 --> 00:16:06.740 the investment in these targeted treatments will 00:16:06.740 --> 00:16:09.230 probably just be wasted money. Precisely. You 00:16:09.230 --> 00:16:11.909 need both parts of the equation. Good management 00:16:11.909 --> 00:16:14.409 provides the foundation. Targeted tech helps 00:16:14.409 --> 00:16:17.269 overcome specific hurdles like biofilms. OK, 00:16:17.330 --> 00:16:19.289 let's circle back and talk about the uncomfortable 00:16:19.289 --> 00:16:22.129 truth buried in the economics here, because this 00:16:22.129 --> 00:16:24.929 is where the tension between tradition and, well, 00:16:25.070 --> 00:16:28.759 profit truly hits home. Our sources touch on 00:16:28.759 --> 00:16:31.120 what some call the dirty secret of the traditional 00:16:31.120 --> 00:16:33.700 vet model. Not all vets, of course, but the structure 00:16:33.700 --> 00:16:36.860 itself. By nature of its often transaction -based 00:16:36.860 --> 00:16:39.240 structure, it sometimes inadvertently relies 00:16:39.240 --> 00:16:41.480 on repeat visits to cover its overhead and be 00:16:41.480 --> 00:16:43.720 profitable. Is it fair to say they are sometimes 00:16:43.720 --> 00:16:46.440 incentivized by treatment failure rather than 00:16:46.440 --> 00:16:48.720 by achieving lasting herd health? Now, hold on. 00:16:48.740 --> 00:16:52.399 I wouldn't frame it entirely as malice or intentionally 00:16:52.399 --> 00:16:55.629 wanting failures. Most vets I know are incredibly 00:16:55.629 --> 00:16:58.269 dedicated to animal welfare. However, I absolutely 00:16:58.269 --> 00:17:00.509 see the systemic flaw you're pointing out in 00:17:00.509 --> 00:17:02.389 the traditional model. It's a structural issue. 00:17:02.529 --> 00:17:04.869 If your conventional treatment protocol has, 00:17:05.049 --> 00:17:08.150 say, a known 30 or 40 % failure rate for chronic 00:17:08.150 --> 00:17:10.750 mastitis cases, while that inherently means 30, 00:17:10.809 --> 00:17:13.609 40 % more follow -up calls, 30, 40 % more treatment 00:17:13.609 --> 00:17:15.329 supplies purchased from the practice inventory, 00:17:15.509 --> 00:17:18.430 and 30, 40 % more billable time spent on that 00:17:18.430 --> 00:17:20.710 farm dealing with the recurrence. So the traditional 00:17:20.710 --> 00:17:22.930 model, by its very definition, can incentivize 00:17:22.930 --> 00:17:25.240 reaction. to failure rather than investing heavily 00:17:25.240 --> 00:17:27.579 in deep -seated prevention or ensuring that first 00:17:27.579 --> 00:17:29.839 treatment leads to a long -term lasting cure. 00:17:30.019 --> 00:17:32.220 Exactly. It's a structural flaw, not necessarily 00:17:32.220 --> 00:17:35.420 a flaw in the vets themselves. The paradigm shift 00:17:35.420 --> 00:17:37.819 we're seeing is about moving away from that purely 00:17:37.819 --> 00:17:42.039 reaction -based economy. The goal of QSI and 00:17:42.039 --> 00:17:44.460 these similar immune -supportive approaches is 00:17:44.460 --> 00:17:46.299 really about getting the treatment strategy right 00:17:46.299 --> 00:17:49.240 the first time to achieve resolution and prevent 00:17:49.240 --> 00:17:52.529 recurrence. This immediately cuts down on those 00:17:52.529 --> 00:17:55.250 repeated visits, dramatically reduces the farmer's 00:17:55.250 --> 00:17:57.569 own supply and labor costs, and interestingly, 00:17:57.730 --> 00:17:59.750 it ultimately benefits the progressive vets too. 00:18:00.109 --> 00:18:02.089 Those who are willing to pivot more towards a 00:18:02.089 --> 00:18:04.210 consultative model, focusing on prevention and 00:18:04.210 --> 00:18:06.430 long -term health planning, they build stronger, 00:18:06.430 --> 00:18:08.329 more profitable long -term relationships with 00:18:08.329 --> 00:18:10.730 producers who are also more profitable. And if 00:18:10.730 --> 00:18:13.490 we connect this potential structural shift directly 00:18:13.490 --> 00:18:16.309 to the farm's bottom line, the economic modeling 00:18:16.309 --> 00:18:19.250 presented is incredibly persuasive. The data 00:18:19.250 --> 00:18:21.289 strongest suggests that farms just sticking to 00:18:21.289 --> 00:18:23.829 the old antibiotic heavy protocols, especially 00:18:23.829 --> 00:18:26.890 for chronic issues, could be losing conservatively 00:18:26.890 --> 00:18:29.950 $200 ,000 or more a year compared to operations 00:18:29.950 --> 00:18:32.769 that are proactively adopting these new targeted 00:18:32.769 --> 00:18:35.509 immune focused protocols. That difference. It 00:18:35.509 --> 00:18:37.470 isn't just a minor profit margin tweak. It's 00:18:37.470 --> 00:18:40.750 becoming a significant competitive. golf. And 00:18:40.750 --> 00:18:43.450 in a sustained low milk price environment, that 00:18:43.450 --> 00:18:45.309 golf could easily put traditionalists out of 00:18:45.309 --> 00:18:47.690 business. Yeah. And nothing hammers home that 00:18:47.690 --> 00:18:50.190 financial impact, quite like the economics of 00:18:50.190 --> 00:18:52.029 culling. Let's look closely at that example mentioned, 00:18:52.170 --> 00:18:54.690 Peter Smith in the Northeast. He focused heavily 00:18:54.690 --> 00:18:56.630 on implementing these immune supporting protocols 00:18:56.630 --> 00:18:59.109 across his herd. The results on culling were 00:18:59.109 --> 00:19:01.210 dramatic. He went from culling roughly one in 00:19:01.210 --> 00:19:03.109 three cows, primarily for utter health issues, 00:19:03.210 --> 00:19:05.529 down to culling only one in seven for those same 00:19:05.529 --> 00:19:09.299 reasons in just a few years. That is. That's 00:19:09.299 --> 00:19:11.440 immense. Let's just break down what saving those 00:19:11.440 --> 00:19:13.279 cows actually looks like on the balance sheet 00:19:13.279 --> 00:19:16.170 for, say, That typical 200 -cow farm we discussed. 00:19:16.470 --> 00:19:19.509 Going from a 33 % cull rate specifically for 00:19:19.509 --> 00:19:22.369 udder issues, that's about 66 cows leaving the 00:19:22.369 --> 00:19:25.269 herd prematurely each year, down to a 14 % rate, 00:19:25.369 --> 00:19:27.970 which is around 28 cows. That means he prevented 00:19:27.970 --> 00:19:30.769 nearly 40 cows from being culled early just by 00:19:30.769 --> 00:19:32.930 addressing udder health more effectively. 40 00:19:32.930 --> 00:19:35.630 cows saved per year. Okay, so 40 cows saved. 00:19:35.930 --> 00:19:37.789 Now, if we assume the average cost to either 00:19:37.789 --> 00:19:40.549 develop or purchase a replacement heifer is around 00:19:40.549 --> 00:19:43.230 $2 ,000, and you're right, many producers probably 00:19:43.230 --> 00:19:44.890 under - estimate this figure when they factor 00:19:44.890 --> 00:19:48.250 in feed, labor, breeding costs, and risk. Saving 00:19:48.250 --> 00:19:50.529 those 40 cows translates pretty directly to an 00:19:50.529 --> 00:19:52.970 $80 ,000 immediate avoidance of cash outflow 00:19:52.970 --> 00:19:56.109 just on replacement costs alone. It's huge. Plus, 00:19:56.210 --> 00:19:58.569 think about which cows you are retaining. You're 00:19:58.569 --> 00:20:00.890 keeping mature cows, cows in their second, third, 00:20:00.970 --> 00:20:04.109 fourth lactation. These are animals hitting their 00:20:04.109 --> 00:20:06.539 peak production years. When you cull one of those 00:20:06.539 --> 00:20:08.980 animals early due to a chronic issue, you're 00:20:08.980 --> 00:20:11.440 not only spending $2 ,000 on a heifer that won't 00:20:11.440 --> 00:20:13.319 reach peak production herself for another 18 00:20:13.319 --> 00:20:16.440 months or so, but you are also sacrificing years 00:20:16.440 --> 00:20:19.140 of high -volume, high -efficiency milk production 00:20:19.140 --> 00:20:22.740 from that mature cow you lost. So Peter Smith's 00:20:22.740 --> 00:20:25.140 overall herd efficiency and profitability improved 00:20:25.140 --> 00:20:27.740 almost instantly, simply because he was able 00:20:27.740 --> 00:20:29.680 to retain his high -performing mature animals 00:20:29.680 --> 00:20:32.519 for longer. This significant shift in the cull 00:20:32.519 --> 00:20:35.500 rate creates a massive financial swing. It easily 00:20:35.500 --> 00:20:37.920 justifies the investment in targeted health protocols 00:20:37.920 --> 00:20:41.019 multiple times over just on calling alone. It 00:20:41.019 --> 00:20:42.720 really highlights the difference between constantly 00:20:42.720 --> 00:20:45.279 cycling through cheaper, lower producing heifers 00:20:45.279 --> 00:20:48.640 versus maximizing productive lifespan and the 00:20:48.640 --> 00:20:50.819 inherent efficiency of your most valuable assets, 00:20:50.859 --> 00:20:53.380 those mature cows. Exactly. Keep the good ones 00:20:53.380 --> 00:20:56.019 working longer. Now, the theory and the economic 00:20:56.019 --> 00:20:58.420 modeling are powerful, definitely. But the real 00:20:58.420 --> 00:21:01.279 proof has to be in the data from actual farms 00:21:01.279 --> 00:21:04.710 making these changes. Let's dive into the results 00:21:04.710 --> 00:21:06.950 from Trevor Nutscher in the Midwest. This is 00:21:06.950 --> 00:21:09.269 presented as a massive success story, really 00:21:09.269 --> 00:21:11.309 showing the potential power of shifting protocols 00:21:11.309 --> 00:21:14.549 towards immune support and utilizing QSI. Get 00:21:14.549 --> 00:21:17.490 this. In just 18 months, he achieved an over 00:21:17.490 --> 00:21:20.670 95 % reduction in antibiotic use specifically 00:21:20.670 --> 00:21:24.269 for treating mastitis cases. 95%. Just stop and 00:21:24.269 --> 00:21:25.930 think about the implications of that for a moment. 00:21:26.319 --> 00:21:28.440 Not only is he dramatically reducing his regulatory 00:21:28.440 --> 00:21:30.960 risk exposure and improving the consumer perception 00:21:30.960 --> 00:21:33.440 of his operation, but his tangible production 00:21:33.440 --> 00:21:35.740 results are clear evidence that this targeted 00:21:35.740 --> 00:21:38.039 approach really works on the ground. His bulk 00:21:38.039 --> 00:21:40.299 tank somatic cell count data showed a drop from 00:21:40.299 --> 00:21:44.220 around 180 ,000 down to just over 120 ,000. That's 00:21:44.220 --> 00:21:46.140 not just a marginal improvement, Sarah, that's 00:21:46.140 --> 00:21:48.319 a significant shift. It moves him from being 00:21:48.319 --> 00:21:50.539 constantly worried about potential quality penalties 00:21:50.539 --> 00:21:53.680 or regulatory action to operating in a much safer, 00:21:53.880 --> 00:21:56.369 potentially premium -eligible milk quality tier. 00:21:56.529 --> 00:21:59.349 And what I find particularly fascinating in Nutscher's 00:21:59.349 --> 00:22:02.009 reported data is the ancillary benefit they highlighted. 00:22:02.450 --> 00:22:05.529 Improved fertility makes sense, right? When cows 00:22:05.529 --> 00:22:07.470 are healthier internally, when their immune system 00:22:07.470 --> 00:22:09.789 isn't constantly bogged down, fighting chronic 00:22:09.789 --> 00:22:12.410 low -grade inflammation or infection, they breed 00:22:12.410 --> 00:22:15.150 back faster, more consistently. That 60 ,000 00:22:15.150 --> 00:22:18.490 point drop in SEC likely means less chronic inflammation 00:22:18.490 --> 00:22:20.990 systemically, less metabolic stress overall. 00:22:21.289 --> 00:22:23.390 And that translates directly into healthier reproductive 00:22:23.390 --> 00:22:25.849 cycles. Conception rates improve. That's the 00:22:25.849 --> 00:22:28.150 holistic view. Exactly. The view that farmers 00:22:28.150 --> 00:22:30.529 sometimes miss when they're solely focused on 00:22:30.529 --> 00:22:33.910 the udder as an isolated problem. A chronic inflammation 00:22:33.910 --> 00:22:37.980 issue like persistent high SEC. It's not just 00:22:37.980 --> 00:22:40.660 an utter issue, it becomes a systemic drain on 00:22:40.660 --> 00:22:43.539 the cow's resources. By resolving that chronic 00:22:43.539 --> 00:22:45.440 state through these more targeted approaches, 00:22:45.700 --> 00:22:47.839 you often see performance benefits across the 00:22:47.839 --> 00:22:50.259 board, milk production, reproduction, maybe even 00:22:50.259 --> 00:22:52.900 feed efficiency. Furthermore, just think about 00:22:52.900 --> 00:22:55.619 that SEC drop purely in terms of daily farm labor. 00:22:56.200 --> 00:22:58.140 Fewer clinical flare -ups mean significantly 00:22:58.140 --> 00:23:00.859 less time spent identifying cows, separating 00:23:00.859 --> 00:23:02.839 them, treating them, dumping their milk, cleaning 00:23:02.839 --> 00:23:05.619 extra equipment. Trevor Nutscher's success isn't 00:23:05.619 --> 00:23:07.440 just about the money he saved on drugs or lost 00:23:07.440 --> 00:23:09.319 milk. It's also about a measurable improvement 00:23:09.319 --> 00:23:11.559 in the quality of life and the labor efficiency 00:23:11.559 --> 00:23:14.640 on his farm day to day. Less hassle. That's a 00:23:14.640 --> 00:23:16.839 great point. We also have the example cited of 00:23:16.839 --> 00:23:19.559 Joe Soares out west. His operation apparently 00:23:19.559 --> 00:23:24.079 focused heavily on immune support. And that investment 00:23:24.079 --> 00:23:26.680 paid off in a really unexpected way when external 00:23:26.680 --> 00:23:29.880 volatility hit the industry, specifically during 00:23:29.880 --> 00:23:32.700 the regional outbreak of avian influenza or bird 00:23:32.700 --> 00:23:35.160 flu that impacted some dairies. Yeah, this is 00:23:35.160 --> 00:23:37.720 almost the definition of building systemic resilience 00:23:37.720 --> 00:23:40.240 and mitigating unforeseen risks. It's fascinating. 00:23:40.519 --> 00:23:43.220 When bird flu hit that region, the report says 00:23:43.220 --> 00:23:45.839 neighboring farms, maybe those still using more 00:23:45.839 --> 00:23:48.680 traditional reactive health protocols, suffered 00:23:48.680 --> 00:23:51.460 steep sustained drops in milk production as their 00:23:51.460 --> 00:23:54.460 herds came under stress. But Soares, whose prior 00:23:54.460 --> 00:23:56.900 investment in robust, proactive immune health 00:23:56.900 --> 00:23:59.019 meant his cows were already operating at a higher 00:23:59.019 --> 00:24:01.839 baseline of health and efficiency, his herd was 00:24:01.839 --> 00:24:04.119 apparently able to weather that swarm much better. 00:24:04.240 --> 00:24:06.440 While neighbor production reportedly tanked, 00:24:06.460 --> 00:24:09.380 his held relatively steady. That demonstrates 00:24:09.380 --> 00:24:11.740 an immune focus that goes beyond just the udder. 00:24:11.839 --> 00:24:14.180 It acts almost like an insurance policy against 00:24:14.180 --> 00:24:16.920 these unpredictable external pressures. Exactly. 00:24:17.119 --> 00:24:20.200 His proactive investment acted as a kind of biological 00:24:20.200 --> 00:24:22.900 buffer, making his herd more resilient against 00:24:22.900 --> 00:24:24.759 new environmental challenges or health threats. 00:24:25.059 --> 00:24:27.319 But, and this is a point the source material 00:24:27.319 --> 00:24:29.819 reportedly stresses repeatedly, these successes 00:24:29.819 --> 00:24:32.660 are not magic. They don't just happen by buying 00:24:32.660 --> 00:24:35.140 a new product. These results come from hard work, 00:24:35.240 --> 00:24:37.519 from dedication, and from the willingness to 00:24:37.519 --> 00:24:40.380 meticulously monitor results and adjust protocols 00:24:40.380 --> 00:24:42.880 to the specific needs of their individual farm. 00:24:43.369 --> 00:24:46.829 Right. The technology, like QSI, provides a new 00:24:46.829 --> 00:24:49.849 pathway, a new tool. But the producer still has 00:24:49.849 --> 00:24:51.869 to commit to walking that path, adapting the 00:24:51.869 --> 00:24:54.529 strategy, tweaking things, and monitoring constantly 00:24:54.529 --> 00:24:57.029 to make it work optimally for them. Okay, so 00:24:57.029 --> 00:24:59.269 connecting all this evidence, the economics, 00:24:59.490 --> 00:25:01.190 the science, the case studies, to the bigger 00:25:01.190 --> 00:25:03.690 picture, it really does feel like the dairy world 00:25:03.690 --> 00:25:05.450 is splitting right now, doesn't it? Absolutely. 00:25:05.549 --> 00:25:07.890 We are clearly observing the emergence of two 00:25:07.890 --> 00:25:10.549 very distinct groups of producers, and the difference 00:25:10.549 --> 00:25:12.809 between them increasingly seems to be massive. 00:25:13.519 --> 00:25:16.500 quantifiable profitability and resilience. Group 00:25:16.500 --> 00:25:19.000 one, let's call them the adopters. They're embracing 00:25:19.000 --> 00:25:20.740 this new science, these targeted approaches, 00:25:20.960 --> 00:25:23.880 and they're seeing tangible, verifiable benefits. 00:25:24.140 --> 00:25:26.259 Their cows seem to live longer. They make more 00:25:26.259 --> 00:25:28.660 milk more efficiently over their lifetimes. Their 00:25:28.660 --> 00:25:30.880 labor costs associated with health issues decline. 00:25:31.359 --> 00:25:34.119 And critically, they often gain easier access 00:25:34.119 --> 00:25:37.140 to what the sources call nicer markets. These 00:25:37.140 --> 00:25:38.680 are likely markets with stringent regulatory 00:25:38.680 --> 00:25:41.160 requirements or strong consumer demand for certified 00:25:41.160 --> 00:25:43.900 cleaner production, maybe antibiotic -free milk 00:25:43.900 --> 00:25:46.519 lines. These markets often offer significant 00:25:46.519 --> 00:25:49.119 milk quality premiums that the traditionalists 00:25:49.119 --> 00:25:51.059 simply cannot access. And then you have group 00:25:51.059 --> 00:25:53.460 two, the traditionalists. Maybe through inertia, 00:25:53.759 --> 00:25:56.500 maybe skepticism, maybe lack of capital to invest 00:25:56.500 --> 00:25:59.359 initially. But they risk falling irreversibly 00:25:59.359 --> 00:26:02.680 behind. The game is clearly evolving. Sticking 00:26:02.680 --> 00:26:05.319 solely to the old protocols means you are increasingly 00:26:05.319 --> 00:26:07.700 subjecting your operation to those harsh financial 00:26:07.700 --> 00:26:10.339 models we talked about, the ones showing $160 00:26:10.339 --> 00:26:14.039 ,000, maybe $200 ,000 plus in hidden annual losses 00:26:14.039 --> 00:26:16.480 compared to the adopters. The cost of sitting 00:26:16.480 --> 00:26:18.980 still is no longer just theoretical inefficiency. 00:26:19.180 --> 00:26:21.559 It's becoming a serious competitive disadvantage. 00:26:21.900 --> 00:26:24.400 And long term, that disadvantage could very well 00:26:24.400 --> 00:26:27.059 be farm ending, especially during downturns. 00:26:27.059 --> 00:26:29.440 And this shift isn't just a North American phenomenon, 00:26:29.660 --> 00:26:32.109 right? The sources mentioned global trends. Yeah, 00:26:32.250 --> 00:26:35.109 most notably in Europe. We're seeing established 00:26:35.109 --> 00:26:37.589 evidence there where farms have been operating 00:26:37.589 --> 00:26:40.109 under stricter antibiotic regulations for years. 00:26:40.390 --> 00:26:43.069 They are successfully using drastically fewer 00:26:43.069 --> 00:26:45.910 antibiotics overall, while often maintaining 00:26:45.910 --> 00:26:48.289 or even increasing their production levels per 00:26:48.289 --> 00:26:51.880 cow. The proof that this targeted proactive paradigm 00:26:51.880 --> 00:26:54.400 can work effectively at scale, it's not just 00:26:54.400 --> 00:26:57.059 theoretical anymore. It's been demonstrated over 00:26:57.059 --> 00:27:00.200 perhaps a decade or more in these highly regulated 00:27:00.200 --> 00:27:03.079 competitive markets. They figured it out. So 00:27:03.079 --> 00:27:05.000 the external pressure is just mounting on all 00:27:05.000 --> 00:27:06.980 fronts, isn't it? Regulations are only going 00:27:06.980 --> 00:27:09.799 to get tighter, not looser. Right. Consumer markets 00:27:09.799 --> 00:27:12.319 increasingly demand cleaner, more transparent 00:27:12.319 --> 00:27:15.619 production methods. Think responsible use, raised 00:27:15.619 --> 00:27:18.220 without antibiotics. And frankly, your competition, 00:27:18.420 --> 00:27:20.640 both down the road and internationally, they 00:27:20.640 --> 00:27:22.180 are not waiting for you to catch up. They're 00:27:22.180 --> 00:27:24.339 already implementing these protocols, banking 00:27:24.339 --> 00:27:26.460 the savings and replacement costs, capturing 00:27:26.460 --> 00:27:28.579 labor efficiencies and accessing those premium 00:27:28.579 --> 00:27:31.059 markets. So what does this all boil down to? 00:27:31.180 --> 00:27:32.759 for the producer listening to this right now. 00:27:33.059 --> 00:27:35.819 The final, maybe provocative thought is this. 00:27:36.220 --> 00:27:39.380 The cost of sitting still, of sticking with only 00:27:39.380 --> 00:27:41.839 the traditional methods for chronic issues, is 00:27:41.839 --> 00:27:44.240 not just theoretical inefficiency anymore. It 00:27:44.240 --> 00:27:46.759 is being modeled consistently at over $200 ,000 00:27:46.759 --> 00:27:50.299 a year for an average farm, maybe more. And if 00:27:50.299 --> 00:27:53.059 that leak isn't addressed, Well, it looks like 00:27:53.059 --> 00:27:55.380 a direct line towards potential insolvency over 00:27:55.380 --> 00:27:57.880 time. The smart money, it seems, is betting on 00:27:57.880 --> 00:27:59.519 those producers who are asking the really hard 00:27:59.519 --> 00:28:01.799 questions about their current treatment failure 00:28:01.799 --> 00:28:04.440 rates, their call rates for health issues, and 00:28:04.440 --> 00:28:06.480 who are actively embracing science -backed solutions 00:28:06.480 --> 00:28:09.240 that work with the cow's biology, not just against 00:28:09.240 --> 00:28:12.059 the bacteria. Well said. It's about evolving 00:28:12.059 --> 00:28:14.440 or risking being left behind. Hashtag tag tag 00:28:14.440 --> 00:28:16.859 tag actionable insight segment. All right, we've 00:28:16.859 --> 00:28:19.740 covered a lot of ground. The $2 .7 billion national 00:28:19.740 --> 00:28:23.380 problem, the science of EPS matrix in biofilms, 00:28:23.380 --> 00:28:26.279 the limitations of traditional antibiotics, and 00:28:26.279 --> 00:28:28.980 the potential of QSI. Now let's bring it right 00:28:28.980 --> 00:28:31.240 back home. Let's say a farmer just finished morning 00:28:31.240 --> 00:28:33.359 milking, they're jumping in the truck, driving 00:28:33.359 --> 00:28:35.539 to the feed store, listening to this. They need 00:28:35.539 --> 00:28:37.740 a plan. What are the three essential takeaways, 00:28:37.940 --> 00:28:39.920 the action items they need to consider implementing, 00:28:40.140 --> 00:28:43.220 broken down by a practical timeline? Okay, immediate 00:28:43.220 --> 00:28:46.240 action, like this week or next. Upgrade diagnosis. 00:28:46.700 --> 00:28:49.359 Seriously. You absolutely need to know exactly 00:28:49.359 --> 00:28:52.240 who you're dealing with bacteriologically. Stop 00:28:52.240 --> 00:28:54.539 the generalized shotgun application of treatments 00:28:54.539 --> 00:28:57.480 for every mastitis case. Invest in better, maybe 00:28:57.480 --> 00:28:59.940 more rapid, diagnostic methods for identifying 00:28:59.940 --> 00:29:02.259 infections, whether that's on -farm culturing, 00:29:02.440 --> 00:29:04.980 sending more samples for PCR testing, whatever 00:29:04.980 --> 00:29:07.640 fits your system. But get the info. This ensures 00:29:07.640 --> 00:29:09.619 that any treatment you choose, whether it's still 00:29:09.619 --> 00:29:11.920 a traditional antibiotic for an acute case or 00:29:11.920 --> 00:29:14.839 a targeted QSI approach for a chronic one, is 00:29:14.839 --> 00:29:17.200 precisely focused. If you don't know the specific 00:29:17.200 --> 00:29:19.559 pathogen causing the problem, you're not really 00:29:19.559 --> 00:29:21.460 treating, you're just guessing. And that guessing, 00:29:21.539 --> 00:29:24.099 as we've established, costs you potentially $160 00:29:24.099 --> 00:29:26.880 ,000 a year or more. Start with better info. 00:29:27.059 --> 00:29:28.769 Okay, that's fundamental. Can't use targeted 00:29:28.769 --> 00:29:30.890 tech without targeted info. Makes perfect sense. 00:29:31.049 --> 00:29:33.809 What about medium term strategy, say, over the 00:29:33.809 --> 00:29:36.829 next three to six months? Medium term. Targeted 00:29:36.829 --> 00:29:39.930 protocol implementation. This means actively 00:29:39.930 --> 00:29:42.470 starting to explore and integrate some of these 00:29:42.470 --> 00:29:44.309 targeted treatments into your protocols where 00:29:44.309 --> 00:29:47.230 appropriate. Look seriously at QSI technology 00:29:47.230 --> 00:29:51.650 for those chronic high SCC cows or maybe for 00:29:51.650 --> 00:29:54.690 fresh cow protocols. Implement truly selective 00:29:54.690 --> 00:29:58.230 dry cow therapy based on end of lactation diagnostics 00:29:58.230 --> 00:30:00.950 and cow history. No more blanket dry cow therapy 00:30:00.950 --> 00:30:03.589 across the entire herd if it's not needed. That 00:30:03.589 --> 00:30:06.069 saves money and reduces overall antibiotic use 00:30:06.069 --> 00:30:08.880 right there. Or, critically, take this time to 00:30:08.880 --> 00:30:11.059 significantly bump up your herd nutrition program, 00:30:11.279 --> 00:30:13.980 specifically to aggressively support immune function. 00:30:14.640 --> 00:30:16.799 Focus especially during those high -stress transition 00:30:16.799 --> 00:30:19.779 periods, like calving and early lactation. Make 00:30:19.779 --> 00:30:21.519 sure your vitamin E, your selenium, your zinc, 00:30:21.680 --> 00:30:23.799 copper, other key trace minerals that prime the 00:30:23.799 --> 00:30:25.559 immune system, make sure those levels are absolutely 00:30:25.559 --> 00:30:27.839 optimal. Nutrition is foundational. Right. Build 00:30:27.839 --> 00:30:30.279 that baseline resilience. Good. And then long 00:30:30.279 --> 00:30:31.700 -term positioning. Thinking out over the next 00:30:31.700 --> 00:30:34.099 one to two years. Long -term positioning is about 00:30:34.099 --> 00:30:36.890 strategic change management. Look, change takes 00:30:36.890 --> 00:30:39.549 guts, and practically it demands bandwidth from 00:30:39.549 --> 00:30:42.150 you and your team. So pick a dedicated time for 00:30:42.150 --> 00:30:44.309 major implementation shifts when your crew isn't 00:30:44.309 --> 00:30:47.029 already completely burned out. Maybe late winter 00:30:47.029 --> 00:30:49.630 or early spring, as suggested, when the pressures 00:30:49.630 --> 00:30:51.809 of summer breeding, heat stress, or harvest might 00:30:51.809 --> 00:30:54.710 be lower. Develop a clear, written plan for the 00:30:54.710 --> 00:30:57.190 changes you want to make. Seek out good coaching 00:30:57.190 --> 00:30:59.529 or veterinary advice from people who actually 00:30:59.529 --> 00:31:02.009 understand these newer protocols and the science 00:31:02.009 --> 00:31:04.190 behind them. And crucially, acknowledge that 00:31:04.190 --> 00:31:06.000 what works beautifully hopefully on Peter Smith's 00:31:06.000 --> 00:31:08.180 farm in the Northeast or Trevor Nutter's in the 00:31:08.180 --> 00:31:10.839 Midwest, must be adapted specifically to your 00:31:10.839 --> 00:31:12.980 individual barn design, your labor structure, 00:31:13.160 --> 00:31:15.700 your herd genetics, your management style, and 00:31:15.700 --> 00:31:18.119 your specific challenges. It is absolutely not 00:31:18.119 --> 00:31:19.799 a cookie cutter, one size fits all solution. 00:31:20.039 --> 00:31:23.220 You have to tailor it. That adaptation point 00:31:23.220 --> 00:31:25.460 is so key, isn't it? You have to build your health 00:31:25.460 --> 00:31:27.519 protocol around your farm's management reality, 00:31:27.759 --> 00:31:29.839 not try to force your reality to fit some generic 00:31:29.839 --> 00:31:32.269 protocol. Couldn't agree more. Tailoring is essential 00:31:32.269 --> 00:31:34.890 for success. Hashtag, hashtag, enhance show outro. 00:31:36.380 --> 00:31:38.039 Well, this has been another deep dive from the 00:31:38.039 --> 00:31:40.579 Bullvine podcast. Today, we really focused on 00:31:40.579 --> 00:31:42.920 how we might finally start to address those massive 00:31:42.920 --> 00:31:45.680 hidden costs and the structural flaws in some 00:31:45.680 --> 00:31:48.119 of our traditional herd health protocols, mainly 00:31:48.119 --> 00:31:51.299 by embracing targeted science like QSI. If this 00:31:51.299 --> 00:31:53.920 kind of impartial data -driven analysis helps 00:31:53.920 --> 00:31:56.160 your operations stay competitive, stay profitable, 00:31:56.380 --> 00:31:59.279 head over to www .thebullvine .com. There are 00:31:59.279 --> 00:32:01.079 more articles there that really try to tell you 00:32:01.079 --> 00:32:02.660 what's really happening in the dairy industry. 00:32:02.980 --> 00:32:05.259 And seriously, subscribe wherever you get your 00:32:05.259 --> 00:32:08.279 podcasts. We're putting out episodes twice weekly 00:32:08.279 --> 00:32:10.880 now, aiming to keep you ahead of the curve. And 00:32:10.880 --> 00:32:13.220 trust me, you definitely don't want to miss what 00:32:13.220 --> 00:32:15.119 we've got coming next week. We'll be talking 00:32:15.119 --> 00:32:17.119 about the evolving standards in milk quality 00:32:17.119 --> 00:32:19.920 premiums. Specifically, we'll be examining how 00:32:19.920 --> 00:32:22.740 these new consumer -driven demands for things 00:32:22.740 --> 00:32:24.880 like responsible antibiotic use certificates 00:32:24.880 --> 00:32:27.519 are actually creating entirely new, potentially 00:32:27.519 --> 00:32:30.539 high -value markets. Markets that, frankly, only 00:32:30.539 --> 00:32:32.759 the most progressive producers The ones already 00:32:32.759 --> 00:32:34.519 making these kinds of shifts we discussed today 00:32:34.519 --> 00:32:37.079 will likely be able to access. It's about future 00:32:37.079 --> 00:32:39.099 -proofing your market access. We'll see you next 00:32:39.099 --> 00:32:39.299 time.