Archive for dairy genetic selection

Lameness Costs You $28,000 Yearly. Genetics Can Fix It – But not for 10 Years. Here’s Your Strategy

Every lame cow costs you $225. Genetics can fix it—in 10 years. Here’s what works NOW

EXECUTIVE SUMMARY: Lameness costs the average 500-cow dairy $28,000 annually, and while CDCB’s new genetic evaluations promise a 30% reduction, you won’t see meaningful savings for 10 years. The reality check: these evaluations rely on data from just six elite farms with $100,000 camera systems—not typical operations dealing with old concrete and tight margins. By year 10, genetics deliver $4,879 annual savings, reaching $8,160 by year 15, but European-style welfare markets will emerge by 2030, before genetics pay off. Smart producers aren’t waiting—they’re investing $40-60K in immediate flooring improvements while simultaneously selecting for lameness resistance. The winning strategy combines environmental fixes that work today with genetics that compound forever. Bottom line: this isn’t about choosing between short-term and long-term solutions, it’s about having the vision and patience to pursue both.

Dairy Lameness ROI

You know that sinking feeling when your trimmer shows up and the bill starts climbing? We’re all dealing with it—lameness affects about a quarter of our cows, and at $120 to $330 per case according to multiple studies in the Journal of Dairy Science, it’s hitting checkbooks hard.

Here’s what’s interesting, though: CDCB just presented at their 2025 Industry Meeting that they’re developing genetic evaluations that could reduce lameness by 20-30% over the next couple of decades. And I say “could” because, well… let’s talk about what that really means.

What caught my attention when I dug into the presentations from Dr. Kristen Gaddis and her team is that the timeline stretches much longer than you’d expect. The economics? More modest than the headlines suggest. And get this—the entire system currently depends on mobility data from just six farms with camera systems, plus trimmer records from about 686 herds. That’s from CDCB’s own numbers.

Click the link to view the presentation: Improving the Wheels on the Car: Hoof Health and Mobility
Ashley Ling, Ph.D., CDCB Support Scientist Slides

The Science: Two Very Different Traits

Here’s where it gets fascinating, and I think you’ll appreciate the biological difference between CDCB’s two strategies.

Traditional hoof health data from trimmer records? We’re looking at heritability of just 3-5%—that’s what the research consistently shows. So basically, 95-97% of what we see comes down to the environment. Your flooring, nutrition program, whether you’ve got digital dermatitis making the rounds… you probably know this already. Put most cows in bad enough conditions—wet concrete, poor ventilation, overcrowding—and they’ll develop problems no matter what their genetics look like.

But mobility scores tell a completely different story. The heritability ranges from 10% to 30% based on CDCB’s findings in their reference population of 63,000 cows. That’s getting into the range of moderately heritable production traits we’ve been successfully selecting for. What’s encouraging here is that mobility seems to capture those deeper genetic differences—skeletal structure, pain sensitivity, basic biomechanics—that persist regardless of housing.

Mobility scores show 2-6x higher heritability than traditional trimmer records, revealing why AI-powered camera systems capture the genetic differences that actually matter for breeding decisions. When 95-97% of hoof problems come from environment, you need that 10-30% genetic signal—not the 3-5% noise.

The innovation piece that’s worth noting is these AI-powered camera systems from companies like CattleEye. They’ve captured over 14 million daily scores from those 63,000 cows, and research in Preventive Veterinary Medicine shows these systems agree with trained vets about 80% of the time. That’s precision you just can’t get when someone’s scribbling notes in the trim chute.

Your Bottom Line: The Real Economics

Let me walk you through the economics, because that’s what matters when you’re making breeding decisions today.

Based on USDA data and that 25% prevalence we’re all dealing with, you’re looking at about $56.25 per cow annually in lameness costs. For a 500-cow operation, that’s $28,125. Real money, absolutely.

The genetic savings timeline reveals the harsh reality—no financial benefit for the first 2-4 years, with meaningful savings only arriving by Year 6 and substantial impact delayed until Year 10-15. This isn’t about choosing between short-term and long-term strategies; it’s about having the vision and patience to pursue both.

But here’s what genetic selection actually delivers over time—and I’ve run these numbers based on CDCB’s genetic trend projections with standard 35% replacement rates:

  • Years 0-2: Nothing. Zero. You’re breeding, but no change in your barn yet.
  • Year 4: Maybe—and I mean maybe—you’ll notice three fewer lame cows in a 200-cow herd.
  • Year 6: Now we’re seeing something. About nine fewer lame cows, saving around $2,070 annually.
  • Year 10: Clear improvement. Twenty-two fewer lame cows, saving $4,879 annually.
  • Year 15: This is when it really shows. Thirty-six fewer lame cows, saving $8,160 annually.

The moderate scenario suggests a lifetime value of about $19-24 per cow from lameness resistance. To put that in perspective—and this is interesting—that’s right between Productive Life at $24 and Daughter Pregnancy Rate at $12 in the current Net Merit index, according to Dr. Paul VanRaden’s team at USDA.

The 6-Farm Problem

This is where things get… well, uncomfortable. Those six farms generating mobility data with their 14 million observations—impressive, sure. But are they really representative of the diversity we have across U.S. dairy operations?

What I’ve found in the Foundation for Food & Agriculture Research grant documentation is that these aren’t your typical farms. We’re talking operations that can afford $50,000 to $100,000 camera installations. They’ve got IT staff, sophisticated management protocols—they’re probably in the top 5% of the industry by any measure.

Now, statistically speaking, 63,000 cows far exceeds the 3,000-5,000 that genetics researchers say you need for reliable predictions. That’s well-documented.

But here’s what concerns me—research in Genetics, Selection, Evolution consistently shows that genomic predictions developed in one environment can lose 30-50% of their accuracy when applied to different management systems.

Think about it: if these six farms all have pristine rubber matting, optimal nutrition designed by PhD nutritionists, and professional trimmers on schedule, will their genetic evaluations actually help that 200-cow operation in Wisconsin dealing with 30-year-old concrete and tight margins?

CDCB’s got a $2 million grant from FFAR to expand collection to 60,000 more cows over three years. That’s great, but even then, we’re talking about less than 1.5% of the national dairy cow population contributing lameness data. And DHI participation? Down to 43% of U.S. cows from over 50% a decade ago, according to USDA census data.

Regional Realities Matter

What’s particularly interesting when you look at regional differences is how implementation challenges vary—and as many of us have seen, what works in California doesn’t always work in Vermont.

California operations with dry lot systems face completely different lameness dynamics than Vermont grazing operations or Michigan freestall barns. Cornell’s PRO-DAIRY research shows prevalence ranging from 15% in well-managed pasture systems to over 40% in older confinement facilities in the Northeast.

Down South—and I’ve talked to several producers dealing with this—heat stress creates its own problems. University of Georgia extension work shows lameness spikes during summer when cows spend more time standing on concrete to access shade and cooling.

These regional realities mean genetic evaluations developed primarily from Midwest and Western mega-dairies might need serious recalibration elsewhere.

The European Warning We Can’t Ignore

Here’s what keeps me up at night—and should concern any producer thinking long-term. It’s not today’s milk check. It’s what’s already happening in Europe.

European welfare markets hit by 2030, but your genetic investments won’t pay off until 2035—creating a 5-year window where early adopters gain permanent competitive advantage while late movers scramble. This isn’t theory; FrieslandCampina and Tesco already require welfare audits. Are you positioned?

FrieslandCampina in the Netherlands has implemented welfare monitoring programs that incorporate lameness metrics into supplier requirements. Major UK retailers, such as Tesco, require welfare audits with lameness as a key metric. Germany passed animal welfare labeling legislation in 2023 that creates premium pricing tiers.

Based on typical lag patterns, we could see similar requirements in U.S. markets by 2030-2035. Several major processors here have already started supplier welfare assessments. Walmart and Costco are asking questions. Export markets to Europe increasingly require welfare documentation.

And here’s the catch nobody wants to discuss: genetic decisions you make today determine your herd composition a decade from now. If you wait for clear market signals—actual premiums or penalties—before emphasizing lameness resistance, your genetics will be 10 years behind when those payments show up. It’s like trying to turn a cruise ship, as they say.

The Consolidation Dynamic

I’ve been around this industry long enough to recognize patterns, and here’s one that deserves honest discussion. These early-stage evaluations will work best for operations that already look like the reference farms—large, well-capitalized, technology-forward.

The math is sobering. If large operations gain even a 3-5-year head start while these evaluations are validated across broader environments, they maintain permanent genetic superiority that smaller operations can never close. That’s just how genetics works—it compounds. Research from ag economists at Iowa State confirms this dynamic across multiple livestock sectors.

This isn’t CDCB’s fault or intention. But when you combine superior lameness genetics with all the other advantages large operations already have—purchasing power documented by USDA’s Agricultural Resource Management Survey, technical expertise, preferential genetics access—you’re looking at one more force driving consolidation. We’ve already lost 50% of dairy farms in the past two decades, according to the 2022 Census of Agriculture.

What Actually Works: Practical Strategies

Flooring delivers immediate relief while genetics won’t catch up for 8-10 years—but the combined approach dominates by Year 10 with $16K+ in annual savings that continues compounding. This is how smart producers win: immediate environmental fixes buy time for genetics to mature.

After wading through all this research and talking with producers who’ve tried various approaches, here’s what’s clear:

For immediate impact (Years 0-5): Environmental management still wins. University of Wisconsin’s Dairyland Initiative research shows that traction-milling concrete floors—that’ll run you $40,000-60,000—can immediately reduce lameness by 10 percentage points. That’s $11,250 in annual savings with a 3- to 5-year payback. Genetic selection won’t match this for 8-10 years.

For long-term positioning (Years 5-15): This is where genetics shines. It compounds permanently while that nice flooring depreciates. By year 10, genetic selection could deliver $12,000+ in annual savings with no additional capital required. And unlike flooring that needs to be redone every 6-15 years, genetic improvement continues to improve.

The optimal approach: Do both if you can. Fix critical environmental problems for immediate relief while shifting breeding emphasis toward lameness resistance. Year 10 projections show combined benefits of around $23,450 annually—way better than either approach alone.

Alternative Approaches for Smaller Operations

Something that didn’t make CDCB’s main presentations but came up in technical discussions—lower-tech options are being explored that might work for many of us.

University College Dublin researchers developed smartphone apps that can score mobility from short videos with a 64% correlation to camera systems. Penn State Extension is testing a simplified visual scoring that your herd vet could do during routine visits. DairyComp 305 and other software providers are working on integration—you know how they’re always adding features.

Research in the Irish Veterinary Journal shows human-assigned mobility scores correlate at 0.64 with camera scores and still show 10-15% heritability. Not as good as fancy cameras, but might be good enough if it means smaller operations can participate without massive investments.

AI organizations could explore subsidized phenotyping programs—similar to what happened with genomic testing adoption a decade ago—where they’d help cover costs for farms willing to share data.

Making the Right Decision for Your Operation

Not every operation should chase lameness genetics—this decision tree cuts through the complexity to show exactly which producers will actually benefit from the 10-year investment. Screenshot this and take it to your next breeding strategy meeting.

Not every operation should prioritize this the same way. Based on the economics and timeline, here’s how I see it breaking down:

Strong candidates for emphasis:

  • Multi-generation family farms planning to be around 20+ years
  • Operations with chronic lameness over 30%—you’ve got more room for improvement
  • Farms that can’t afford major facility renovations—genetics might be your only option
  • Producers are already thinking about welfare-premium markets
  • Operations in regions where consumer pressure is strongest (California, Northeast)

Probably should focus elsewhere:

  • Planning to sell or retire within 5-7 years? You won’t see the payoff
  • Already under 15% lameness? Limited upside
  • Need immediate cash flow improvements? Production traits deliver faster
  • Got capital for facility upgrades? Environmental fixes give quicker returns
  • Located where welfare pressure is minimal

Where the Industry Goes from Here

What strikes me most about CDCB’s lameness resistance development is how it highlights a broader challenge. Should genetic evaluation systems optimize for current conditions or anticipate where markets are heading? When breeding decisions take 10 years to play out but markets can shift in 5, who bears the risk?

We learned this lesson painfully with fertility. Spent decades emphasizing production while fertility tanked—USDA data shows it clearly. Then we scrambled when replacement costs exploded. Took 15+ years to dig out. Are we setting up for the same pattern with welfare traits?

Dr. Chad Dechow at Penn State has written extensively about needing anticipatory breeding strategies that position for probable future markets rather than just optimizing for today. But that’s easier said than done when you’re trying to make payroll next month.

What This Means for You

Looking at all this, here’s what I’d tell my neighbors:

  • Adjust your timeline expectations. This isn’t a quick fix. If you need lameness relief in 3-5 years, invest in flooring, footbaths, and management. Genetics is your 10-year plan.
  • Understand the real economics. That $19-24 lifetime value per cow is real but modest. Don’t abandon production traits in pursuit of lameness improvement—use balanced selection via Net Merit or TPI.
  • Consider your market position. Selling commodity milk to the co-op? Current genetics might be fine. But if you’re eyeballing premium markets or brands like Organic Valley, starting selection now positions you for 2030-2035.
  • Contribute data if you can. These evaluations only improve with broader participation. If you’re working with a good trimmer or thinking about mobility scoring, explore data sharing with CDCB or your breed association.
  • Combine strategies. The successful producers I see aren’t choosing between genetics and management—they’re doing both with appropriate timeframes.

The promise of genetic selection for lameness resistance is real. We’re looking at a potential 30% reduction over 20 years according to CDCB projections, permanent benefits that compound, and positioning for evolving markets. But it’s not magic, won’t replace good management, and requires more patience than most of us naturally have.

What we’re discovering about lameness genetics is pretty much what we’ve learned with every other trait: biological systems change slowly, market signals arrive late, and success goes to those who position for tomorrow while managing today. The tools are coming—CDCB says April 2025 for initial implementation. Whether we have the patience and vision to use them effectively? Well, that’s the real question, isn’t it?

KEY TAKEAWAYS

  • The 10-year reality: Lameness genetics save nothing initially, then compound to $4,879 (Year 10) and $8,160 (Year 15)—patience required
  • Data disconnect warning: Six elite farms with $100K cameras shape genetics for 34,000 dairies—verify relevance to YOUR operation
  • Win with both strategies: $40-60K flooring investment (immediate relief) + genetic selection (permanent gains) = $23K+ annual savings by Year 10
  • Timeline mismatch alert: European welfare markets arrive by 2030, but genetics won’t deliver until 2035+—early adopters gain 5-year advantage

Complete references and supporting documentation are available upon request by contacting the editorial team at editor@thebullvine.com.

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Your 0.77 Ratio Is Wrong: The $67,500 Component Fix That Can’t Wait Until 2028

When butterfat premiums turned to penalties, we created an $8 billion problem nobody saw coming

EXECUTIVE SUMMARY: What farmers are discovering right now is that a decade of breeding for maximum butterfat has created a fundamental mismatch with processor needs—our national average of 0.77 protein-to-fat ratio falls short of the 0.80 that cheese plants require for efficient production. According to CoBank’s September analysis and USDA data, this $300 difference translates to $800-$ 1,200 daily in standardization costs for mid-sized plants, expenses that eventually flow back to producer milk checks. The timing couldn’t be worse, with $8 billion in new cheese capacity coming online through 2028, all designed for balanced milk production that we’re not meeting. Research from Penn State and Michigan State shows that high-oleic soybeans can help rebalance components while actually improving feed efficiency, saving operations $50-70 per hundredweight. Smart producers are already repositioning—shifting genetics toward protein (bulls with +60 PTA protein, under 1.25:1 fat-to-protein ratios), implementing proven nutritional strategies, and protecting themselves with risk management tools that could save a 200-cow operation $67,500 when Class III drops just $3. Here’s what this means for your operation: the genetics decisions you make this month lock in production patterns through 2028, making immediate action not just advisable but essential for survival in tomorrow’s component-focused market.

dairy profitability, component imbalance, protein-to-fat ratio, dairy genetic selection, high oleic soybeans, milk component prices, dairy risk management

You know what’s fascinating about dairy markets right now? We’re watching butter trade at $1.65 while cheese sits at $1.7375 on the CME, and that inversion tells you everything about where we’ve ended up. For those of us who’ve been in this business long enough to remember when butterfat was gold, this feels like watching the world turn upside down.

I’ve been tracking these markets for about twenty years, and this pattern we’re seeing—three months into it now as of October—isn’t just unusual. It’s the market trying to tell us something we probably don’t want to hear: we got too good at producing butterfat, and now we’re all paying for it.

Here’s what really strikes me. We spent the last decade building this incredible genetic and nutritional system to maximize butterfat production. Every decision made sense at the time. Every bull selection, every ration adjustment, every breeding choice followed the economics perfectly. And yet somehow, all those right decisions added up to a wrong outcome.

What That 0.77 Number Really Means for Your Operation

Here’s the thing about protein-to-fat ratios that has transitioned from textbook concepts to real-world problems. Your cheese plant—and let’s be honest, with USDA data showing 90% of our milk going to manufacturing, that’s probably where yours ends up—they run best with milk at about a 0.80 ratio. Cornell’s Dave Barbano figured this out decades ago, and it’s held true ever since.

What really caught my attention is this CoBank analysis from September—Corey Geiger put together a report called “Soaring demand for dairy foods fueled a US butterfat boom,” and buried in there is our current national average: 0.77, according to the USDA’s latest statistics. Now, three hundred doesn’t sound like much, right? But the impact on operations is huge.

I was visiting with some folks at a major cheese plant in Green Bay last week. They’re spending—get this—$800 to $1,200 every single day just standardizing milk. Either they’re skimming off cream that nobody really wants right now, or they’re adding milk protein concentrate, which is running $3.50 to $4.50 per pound, according to the latest USDA Dairy Market News reports.

Consider that for a mid-sized plant processing 100,000 pounds daily… you’re looking at $300,000 to $440,000 a year in extra costs. And where do you think that money eventually comes from? Yes, it finds its way back to our milk checks; it just takes about six months to work through the system. As one Wisconsin cheese maker explained to me, “We’re not asking for miracles, just milk we can efficiently turn into cheese without bleeding money on standardization.”

What’s really eye-opening—and the plant folks explained this while we watched tankers unloading—is that when they produce mozzarella, they need to increase protein from our current average of 3.23% (according to USDA NASS September data) to about 3.5% for optimal yields. That’s 300 pounds of MPC-80 for every 100,000 pounds of milk. At today’s prices? Over a thousand bucks daily.

How Sound Individual Decisions Created This Collective Challenge

Examining Federal Order pricing from 2015 through last year, butterfat consistently commanded premiums over protein in eight out of nine years. Of course, we bred for fat! I mean, when you see a Select Sires bull with +80 pounds of butterfat PTA and fat paying nearly three dollars… that’s just following the money.

Kent Weigel from the University of Wisconsin’s dairy science department gave this fascinating presentation at the Dairy Cattle Reproduction Council meeting in April. The genetic progress we’ve made is remarkable—maybe too remarkable. Here’s the challenge: those bulls everyone was using in 2020 and ’21 when fat prices were golden? Their daughters are just entering the milking string now. And that April base change from USDA’s Animal Genomics and Improvement Laboratory, rolling back fat values by 45 pounds—that’s the biggest adjustment I can remember. It’s basically the industry saying, “okay, we might’ve overdone this a bit.”

CoBank’s analysis suggests we could see butterfat approaching 5% within ten years if trends continue. Now, that’s on the high end of projections, but even if we hit 4.6% or 4.7%, and protein reaches 3.4%, well, that’s potentially a 0.68 ratio. Here’s what every breeder needs to understand: bulls you pick today won’t have daughters really producing until 2028, maybe ’29.

I know a producer near Eau Claire who has been maintaining balanced components throughout this whole process—3.85% fat, 3.20% protein, utilizing diverse genetics. “Everyone thought I was leaving money on the table, breeding for balance,” he told me. “Now my milk’s exactly what processors want, and I’m getting premiums while others are scrambling.”

According to reports from Wisconsin’s Dairy Business Association, several operations in the Central Valley, California, began shifting toward protein-focused genetics three years ago, anticipating these market changes. These producers saw the new cheese plants coming online and adjusted early. Now they’re shipping exactly what processors like Hilmar want, while others are still catching up.

Learning from Our Northern Neighbors

Alright, so comparing us to Canada usually starts some heated discussions, but stay with me here. According to the Ontario Dairy Farmers’ quota exchange, they’re paying between $24,000 and $26,000 per cow just for the right to produce. Sounds crazy, doesn’t it?

But here’s what’s worth considering. Statistics Canada’s 2024 farm survey (released this March) shows their average dairy operation clearing $246,000 Canadian, and through the Canadian Dairy Commission’s cost-of-production formula, they know their milk price twelve months out. Pretty nice for planning, right?

What I find really interesting is how they handle components. When the solids-non-fat to butterfat ratio deviates outside its target range of 2.0 to 2.3, payment adjustments occur within one to two months, as per CDC policy. No waiting, no hoping. You make unbalanced milk, you see it in your check. Simple as that.

I know a producer near Guelph who put it this way: “Sure, we pay a lot for quota, but I can make five-year plans knowing prices won’t swing 30% in six months.” Now, I’m not saying we should go to supply management—that ship sailed long ago. But watching our neighbors have that stability, while Cornell’s preliminary October data suggests we might go from $24 to $19 per gallon of milk, does make you think.

The key takeaway here is the importance of consistency and rapid feedback. But before we all rush toward quick fixes, trying to achieve that consistency, let me share what can go wrong when you try to force component changes too fast.

Why Quick Component Fixes Can Be Financially Devastating

I’ve had several nutritionists call lately, asking about using a diet to reduce milk fat quickly. And look, I understand the temptation with these component prices.

But let me share what the research actually shows. Lance Baumgard’s team at Iowa State has published extensively on this in the Journal of Dairy Science over the past few years. When you drop forage NDF below 22% and increase starch to shift fermentation, you will indeed drop fat. You’ll also wreck rumen function.

There’s this study from Bonfatti’s group in Italy (published in JDS this year)—really sobering stuff. Farms with about 33% of cows showing diet-induced milk fat depression didn’t just lose out on components. Energy-corrected milk tanked, dry matter intake dropped by 15 to 20 percent, and then health problems started to cascade.

A respected dairyman I know in Cortland County tried this aggressive approach in 2023. Skilled operator with 30 years of experience in the industry. Four months later? Lameness everywhere, conception rates down twelve points, vet bills through the roof. He calculated over $400 per cow in losses trying to save a total of maybe $50,000 on components. “Expensive lesson,” as he put it to me.

Greg Penner, from the University of Saskatchewan, has been documenting the costs of subacute ruminal acidosis to our industry—we’re talking $500 million to $1 billion annually across North America, according to his latest estimates. That’s real money lost to poor rumen health.

High Oleic Soybeans: A Solution That Actually Works

Now here’s something encouraging that doesn’t involve destroying your cows’ rumens. Kevin Harvatine at Penn State has been publishing some compelling work on high-oleic soybeans in the Journal of Dairy Science over the last few years.

Regular soybeans are about 52-55% linoleic acid—that’s a polyunsaturated fat that basically overwhelms your rumen bugs. When they can’t process it fast enough, they shift metabolic pathways and start making compounds that shut down fat synthesis in the udder. High oleic varieties flip that—they’re 70-80% oleic acid, which is monounsaturated. The rumen handles it just fine.

Penn State’s recent work (Lopes and colleagues published in JDS this year) shows a 0.2-point bump in milkfat, plus a 17% reduction in those problematic trans fats. However, what really caught my attention was Adam Lock’s research at Michigan State, also featured in JDS this year. They saw 10 pounds more milk when feeding these beans at about 16% of the diet, and—here’s the kicker—cows ate 8 kilos less dry matter. That’s efficiency you can take to the bank.

I recently visited a producer in Pennsylvania who has been using these for about eighteen months. Started at 5 pounds per cow, now he’s up to 7.5. Bought a used roaster for around $65,000, figures he’s saving about $125 per cow annually between better components and feed efficiency. Now, your situation might be different—California folks have those water costs, Texas operations deal with heat stress, Upper Midwest producers with heavy corn silage programs might see different responses—but for many of us, this could really work.

Northeast producers using seasonal grazing systems may need to adjust feeding rates seasonally—one Vermont producer I know reduces it to 4 pounds during peak pasture season and then increases it to 7 pounds in winter. Small operations under 100 cows can access custom roasting through cooperatives in many regions. I’m still trying to determine the optimal approach for organic operations, but early reports from a few farms in New York are promising.

The key is roasting them right. You want the PDI—protein dispersibility index—to be between 9 and 11. Lower values indicate that you’ve damaged the protein; higher values indicate that you haven’t removed the antinutritional components. Worth testing when you’re getting started.

Yeah, they cost more—about 10-15 cents per pound premium according to USDA grain market reports. So at 7 pounds daily, that’s 70 cents to $1.05 extra per cow. However, when you factor in cutting palm fat, reducing some bypass protein, and that efficiency gain, most individuals tracking their results are saving $ 0.50 to $0.70 per hundredweight overall, according to University of Illinois Extension data.

Three Things You Can Do This Month

I spent a couple of days at World Dairy Expo last week, and the same three strategies kept coming up from producers who are making this work.

First—and this is crucial—fix your genetics now. Every month you wait is another group of heifers that’ll be milking the wrong stuff in 2028. Look for bulls with a protein PTA of over 60 pounds, but keep the fat-to-protein ratio under 1.25:1. The AI companies all have this information readily available through their selection programs.

Here’s something Gerd Bittante’s group at the University of Padova just published (in JDS this year)—those DGAT1 genotypes matter. The K version favors fat, the A version favors protein. If you’ve been using only K/K bulls, consider mixing in some A/A or A/K genetics. It’s about balance.

Second, get some high oleic beans lined up. Don’t wait for next year’s crop prices to settle. The research shows benefits kick in within about three weeks. If you’re a smaller operation, consider a custom roaster. Alternatively, if you’re milking 500-plus cows, consider investing in your own equipment.

Third—and I know nobody wants to spend money when things are tight—but get some risk protection. The USDA’s Dairy Revenue Protection program, forward contracts, and something. We’re seeing $5-6 swings month-to-month on Class III, according to CME data. A 200-cow operation protecting half their milk at $21? If we drop to $18, that’s $67,500 saved. That’s not gambling, that’s just smart business at this point.

The Processing Expansion Nobody’s Talking About

Here’s what should have everyone’s attention. The USDA’s Economic Research Service September report states that $8 billion in new cheese capacity is expected to come online through 2028. These aren’t little artisan shops—these are massive, automated plants designed for milk with 0.80 protein-to-fat ratios.

What happens when plants built for balanced milk get our 0.75-0.77 ratio milk? I see three possibilities, and none are great for us.

Plants might pay big premiums for balanced milk—Hilmar Cheese in California’s already offering an extra fifty cents per hundredweight, according to their October producer letter for high-protein, low-fat milk. That creates two classes of producers.

Or processors invest millions in more standardization equipment, costs that eventually come back to us.

Or—and the USDA Foreign Agricultural Service September data shows this is already happening with MPC imports up 40% year-over-year—they just bring in more protein from overseas.

The timing’s terrible. Heifers freshening today were conceived when fat was king. We won’t see genetically balanced cows in large numbers until 2028 or 2029. That’s a big gap. Time will tell if the industry can bridge it without major disruption, but I’m not optimistic.

Why Export Markets Won’t Save Us

People often suggest exports will save us, but that thinking ignores the grim reality of international price disparity. Here’s what the data actually shows.

The USDA’s Foreign Agricultural Service October data show that we’re selling butter internationally at $2.48 per kilogram. EU’s getting $3.56, New Zealand’s at $3.42. We’re essentially offering a dollar-plus discount per pound. Yeah, butter exports are up 150% year-to-date through September, but that’s because we’re desperate and everyone knows it.

Traders in Chicago tell me this export valve could close quickly if global supplies tighten or the dollar strengthens. And then what? The USDA NASS reports a cold storage capacity of approximately 300 million pounds. We’re already at 280 million as of September. If storage fills and exports cease, butter prices could drop significantly below current levels.

For perspective, Brendan Haley at Dalhousie University documented that Canada disposed of approximately 300 million liters between 2020 and 2023, exceeding quotas. We might face similar choices, just through price signals rather than regulations.

Building Operations That Can Handle Whatever Comes

What I’m realizing—and this has taken me a while to really grasp—is that chasing maximum anything is probably a trap. Albert De Vries at the University of Florida ran these simulations (published in JDS this year) showing farms breeding for extremes face about 40% more income volatility than balanced operations.

The folks doing well aren’t necessarily those with the highest components or the most production. They’re maintaining a sustainable target of approximately 3.85% fat and 3.20% protein, using diverse genetics, incorporating innovations like high-oleic beans, and focusing on income over feed cost rather than gross components.

There’s an important concept that the University of Illinois Extension consistently emphasizes: the pounds of energy-corrected milk per pound of feed matter are more significant than the percentages. Their data shows that cows weighing 90 pounds at 3.8% fat often outperform those weighing 85 pounds at 4.2% fat, in terms of profitability. We often become so focused on percentages that we forget about efficiency. I’ve noticed that operations that track feed efficiency closely tend to weather these component price swings better than those that chase maximum yields.

The Uncomfortable Truth We’re All Facing

Take a step back and consider the entire situation. Every farm that bred for maximum butterfat based on 2015-2023 prices made completely rational decisions. And yet collectively, we’ve created this market challenge.

We had amazing tools—genomic selection that has doubled genetic progress, according to the USDA’s Animal Genomics and Improvement Laboratory, sophisticated nutrition programs, and efficient processing. What we lacked were feedback mechanisms connecting individual decisions to system needs.

I know several Ontario producers, and yeah, they pay huge quota costs. But as one told me, “We can’t chase maximums, so we focus on consistency.” With that $246,000 average net income from Statistics Canada and stability, there’s something to consider.

Where We Go from Here: Your Action Plan

This protein premium—$2.71 versus $2.19 for fat in recent Federal Order pricing—it won’t last forever. History suggests maybe five to seven years. Smart money’s positioning for 2027-2030, when those new cheese plants really need milk, but not betting everything on extreme protein either.

What works is balance. Breed for 0.78-0.82 ratios. Feed for health and efficiency, not maximum components. And protect yourself against volatility that is now a natural part of the business.

The hard reality is, in a system where genetics takes years to change but prices shift monthly, complete freedom to optimize might actually be freedom to undermine our own markets. Canadian producers traded some freedom for stability, and looking at projected milk prices… stability has value.

You can learn this now—that balance beats extremes, that yesterday’s optimization creates tomorrow’s problems—or learn it the hard way. But decide soon. Every breeding decision you delay locks in 2028 production patterns.

Here’s your immediate action plan: This week, pull your sire lineup and shift toward protein balance. Next week, please call about high-oleic soybean sourcing. Before the month’s end, get risk management coverage on at least 30% of your production. These are no longer suggestions—they’re survival strategies.

That’s the paradox, isn’t it? We’re always fighting the last war, breeding for the last shortage, creating the next surplus. Perhaps it’s time to think more long-term about what actually creates sustainable value. Drive around and count the “For Sale” signs if you want to see where the old way’s taking us.

The operations that’ll thrive aren’t those with perfect timing or maximum components. They’re the ones who understand that in complex systems like dairy, sustainable balance often beats extreme optimization. And that might be the most valuable lesson from this whole butterfat situation—one worth considering as we make decisions affecting production years ahead.

The choice is yours. Make it count. 

KEY TAKEAWAYS

  • Immediate genetics shift pays off: Switch to bulls with protein PTA over +60 pounds and fat-to-protein ratios under 1.25:1 this breeding season—daughters entering production in 2028 will match what processors need, capturing premiums like Hilmar’s current $1.50/cwt for balanced milk
  • High oleic soybeans deliver triple benefits: Feed 7 pounds daily (roasted to 9-11 PDI) to achieve 0.2% milkfat increase, 10 pounds more milk, and 8 kg less DMI according to Penn State and Michigan State research—netting $50-70/cwt savings after accounting for 70¢-$1.05 daily premium cost
  • Risk management becomes a survival tool: Protect at least 30% of production through Dairy Revenue Protection or forward contracts before the month’s end—with $5-6 monthly Class III swings, a 200-cow operation saves $67,500 when prices drop from $21 to $18
  • Regional adaptations matter: California operations facing water costs might see different high-oleic economics, Vermont graziers should adjust from 4 pounds in summer to 7 in winter, and operations under 100 cows can access custom roasting through cooperatives
  • Component balance beats maximums: Target 0.78-0.82 protein-to-fat ratios rather than chasing extremes—University of Florida simulations show balanced operations face 40% less income volatility than those breeding for maximum single traits

Complete references and supporting documentation are available upon request by contacting the editorial team at editor@thebullvine.com.

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German Genomics Breakthrough Shatters Production-Twinning Trade-off Myth, Offers $161 Per-Cow Savings

Stop believing the production-twinning trade-off myth. German genomics proves you can eliminate $161 disasters without losing one pound of milk.

EXECUTIVE SUMMARY: The dairy industry’s most costly genetic assumption just got demolished by massive German research analyzing 37 million Holstein calvings. For decades, we’ve accepted that pushing for elite milk production inevitably increases expensive twin births—but VIT researchers prove this fundamental belief is dead wrong. The genetic correlations between twinning and production traits are negligible, indicating that it is feasible to select against these traits in a targeted manner.  The science is settled, the tools exist, and the economic case is overwhelming—it’s time to demand that your genetics suppliers provide twinning breeding values alongside every bull evaluation.

KEY TAKEAWAYS

  • Economic Liberation: Twin births create cascading disasters costing $59-161 per incident, with cows suffering 5.38x higher retained placenta risk, 1.77x higher dystocia rates, and 76-96 days shorter productive lives—yet genetic selection against twinning causes zero production losses.
  • Proven Genetic Opportunity: Bulls in the worst quartile for twinning produce daughters with 3.6 percentage points higher twin rates than top quartile bulls, with heritability estimates of 13-14% placing twinning squarely within successfully improved health traits through genomic selection.
  • Selection Index Scandal: While commercial companies like Zoetis incorporated twinning predictions into selection indices years ago, the newly updated Net Merit 2025 continues to ignore this economically relevant trait despite its 31.8% emphasis on fat and 13.0% on protein production.
  • Implementation Reality Check: German research using single-step SNP BLUP technology across 87% of the nation’s dairy cows proves genetic correlations with milk traits are “close to zero”—eliminating the last excuse for not treating twinning as a primary breeding target.
  • Industry Accountability Gap: The genetic tools to reduce twinning exist right now, but producers are being held hostage by an industry that prioritizes marketing convenience over economic reality—demand twinning breeding values from your suppliers or question what else they’re hiding.
dairy genetic selection, twin birth costs, dairy breeding efficiency, genomic selection dairy, dairy cattle profitability

A landmark German study published in the Journal of Dairy Science analyzing population-wide Holstein data proves dairy farmers can eliminate costly twin births without sacrificing a single pound of milk production, demolishing the industry’s most persistent genetic assumption and opening the door to immediate herd profitability gains.

The conventional wisdom that’s been handcuffing dairy breeding decisions for decades just got obliterated by hard science. For years, we’ve accepted that pushing for elite milk production inevitably leads to more twin births—and the cascade of economic disasters that follow. A comprehensive new study by VIT researchers published in the Journal of Dairy Science proves this fundamental assumption is dead wrong.

What really matters is genetic selection for milk production, and twinning operates completely independently. You can aggressively breed against twin births while simultaneously cranking up genetic gain for milk, fat, and protein. The genetic correlations between twinning and production traits? “Close to zero,” according to the published research.

The $100 Million Industry Blind Spot

Let’s face it—while you’ve been accepting costly disasters as “inevitable,” the science to prevent them has been sitting on the shelf. Here’s the scandal that should make every progressive producer furious: Zoetis has been incorporating genetic selection against twinning in their Dairy Wellness Profit Index (DWP$) since at least 2020, yet our industry-wide Net Merit index—the tool that drives the majority of breeding decisions—completely ignores this economically devastating trait.

The 2020 Zoetis DWP$ formulation “applies increased genetic selection against abortion, twinning, cystic ovaries, cow respiratory disease, and cow size.” Meanwhile, the newly released Net Merit 2025, with its sophisticated weighting of nearly 40 individual traits, still has zero economic penalty for twinning. How could a commercial company have recognized this opportunity years ago while our national breeding program remains blind?

Why This Changes Everything for Your Bottom Line

Every twin birth in your calving pen isn’t a bonus, it’s a financial disaster waiting to unfold. The published economic research quantifies exactly how much these “double blessings” cost you: “the estimated losses due to twinning range between $59 to $161 per twin pregnancy”.

But here’s the devastating reality most producers miss—twinning doesn’t just cost you money directly. It “compromises milk production, increases the incidence of dystocia and perinatal mortality, decreases calf birth weight, increases the…and shortens the productive lifespan of cows”. This isn’t just bad luck; it’s a predictable pattern of economic destruction that the genetics industry has the tools to prevent.

The Science That Exposes Industry Failures

The German VIT researchers didn’t mess around with small-scale university trials. Using population-wide data from German Holstein cattle, they employed single-step SNP BLUP technology to analyze the genetics of twin births as two genetically correlated traits: first parity and later parities.

Their findings are unambiguous and industry-changing:

Heritability estimates: 0.008 for first parity and 0.026 for later parities. These numbers place twinning squarely within the range of successfully improved health traits through genomic selection.

Genetic correlations with production: The researchers found that “genetic correlations with milk traits were close to zero.” This definitively proves that selecting against twinning causes zero collateral damage to milk, fat, or protein production.

Bull variation proves genetic potential: The study revealed “substantial variability among bulls, whose genetic potential was expressed in varying twin birth rates among their daughters.” This isn’t theory—it’s measurable genetic variation that can be captured through proper selection.

The Selection Index Scandal We Must Address

Here’s what should make every dairy producer demand answers from their genetics suppliers: while Zoetis has been offering genomic predictions for twinning and incorporating them into selection indices for years, the industry’s primary selection tool continues to ignore this economically relevant trait.

The newly updated Net Merit 2025 places 31.8% emphasis on fat, 13.0% on protein, and 17.8% on feed efficiency, yet zero percent on preventing a trait that costs $59-161 per incident and creates cascading health disasters. By Net Merit’s own definition—maximizing lifetime profitability through economic weighting of heritable traits—this represents a fundamental failure of the index to serve dairy producers.

Meanwhile, commercial genomic tools have already demonstrated that “twinning can be proactively managed on dairy farms using genetically powered tools” and present “a compelling opportunity for dairy producers to proactively reduce the incidence of twin pregnancies on commercial dairy operations.”

What Your Genetics Supplier Isn’t Telling You

The German research reveals the most damaging genetic correlation in the study: twinning shows a correlation of 0.326 with the stillbirth rate. This means that the genetic factors predisposing cows to twin births also increase the likelihood of dead calves. Every time you select a bull without considering his twinning genetics, you’re potentially increasing both twin disasters AND stillbirth losses in your herd.

What else are they hiding if your bull catalog doesn’t include twinning breeding values? The genetic tools to address this problem exist right now, but the industry’s failure to prioritize economic reality over marketing convenience is costing you money every breeding season.

Your Action Plan: Stop Managing, Start Selecting

The message from this landmark research published in the Journal of Dairy Science is crystal clear: transform how you think about twinning from an unavoidable consequence to a controllable genetic trait. Here’s your roadmap:

Immediate Actions:

  • Demand twinning breeding values from your genetics supplier—if they don’t have them, ask why
  • Calculate your current twinning costs using the established $59-161 per case range
  • Question every bull selection based purely on Net Merit—demand comprehensive genetic information

Strategic Confrontation:

  • Challenge the Council on Dairy Cattle Breeding to explain why economically devastating traits remain excluded from Net Merit
  • Push AI companies to provide transparency on twinning genetics across their bull lineups
  • Support research and industry pressure to update selection indices based on complete economic reality

The Bottom Line: Stop Subsidizing Industry Failures

The German VIT study published in the Journal of Dairy Science represents more than scientific advancement—it’s an indictment of an industry that has allowed preventable economic disasters to persist while the genetic solutions sit unused. The data is definitive: you can pursue elite genetic merit for milk, fat, and protein while simultaneously selecting against the costly disasters that twin births represent.

This isn’t about choosing between production and profit anymore. It’s about demanding that your genetics suppliers and industry organizations provide tools that reflect complete economic reality rather than selective marketing convenience.

The choice is yours: keep subsidizing an industry that ignores economically relevant genetics, or start demanding the comprehensive breeding tools that maximize your actual profitability.

The science is settled, commercial tools exist, and the economic case is overwhelming. What are you waiting for—and more importantly, why are our industry leaders still making you wait?

Learn More:

Join the Revolution!

Join over 30,000 successful dairy professionals who rely on Bullvine Weekly for their competitive edge. Delivered directly to your inbox each week, our exclusive industry insights help you make smarter decisions while saving precious hours every week. Never miss critical updates on milk production trends, breakthrough technologies, and profit-boosting strategies that top producers are already implementing. Subscribe now to transform your dairy operation’s efficiency and profitability—your future success is just one click away.

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