Archive for genetic evaluation

Lucky or Calculated? The Surprising Truth About Genomics and Luck in Dairy Breeding

Can genomics eliminate luck in dairy breeding? Discover how chance shaped Holstein’s history and why unpredictability still impacts your herd today.

I’ve always been fascinated by that eternal question in dairy breeding: can science and technology eliminate the role of luck? With April 2025’s genetic evaluation updates just around the corner, it feels like the perfect time to dig into whether our fancy genomic tools have truly kicked chance to the curb—or if they’ve just given us better ways to dance with it. After talking with industry experts and diving into the research, I’ve discovered something surprising: some of Holstein’s most influential bloodlines emerged from happy accidents that no amount of genomic testing could have predicted.

The Genomics Revolution vs. Lady Luck

Let’s be honest—whenever we talk about breeding success these days, we can’t help but focus on genomic selection, advanced mating programs, and all those impressive reproductive technologies. I mean, how couldn’t we? These tools have transformed our industry.

The April 2025 genetic evaluation updates are coming fast, with revised lifetime merit indices that shift to the 2020 genetic base. Have you been keeping up with the Council on Dairy Cattle Breeding announcements? They’re projecting some major PTA decreases: -750 pounds of milk, -45 pounds of fat, and -30 pounds of protein for Holsteins.

Don’t panic! As Chuck Sattler from Select Sires explained recently, “The 2025 base change is bigger than previous adjustments, but this is good news! It means that our cows are improving faster than ever.”

But here’s what keeps me up at night: Have we eliminated Lady Luck from the breeding equation? Or have we just given her a shiny new genomic lab coat?

The 75% Solution: What Genomics Can (and Can’t) Tell Us

I was digging through some research recently and found something fascinating from the National Center for Biotechnology Information. Our most advanced genomic prediction tools show only about 75% reliability for production traits. That means a quarter of what makes a cow productive remains outside our ability to predict!

This 75% reliability has been consistent for years. A 2011 Journal of Dairy Science study noted that this level is “adequate for marketing semen of 2-yr-old bulls,” but it’s far from perfect. The primary benefit? A shortened generation interval that increases the rate of genetic improvement.

Think about that 25% gap next time you’re making breeding decisions. It’s not just a tiny margin of error—it’s a significant space where luck, chance, and unexplained genetic interactions still reign supreme.

Lucky Breaks That Shaped Holstein History

You know what’s crazy? Looking back through Holstein’s history, some of the breed’s most influential genetic lines happened because of tiny accidents, missed connections, or just plain dumb luck. I’ve collected four of my favorite examples in this table:

Lucky Break EventWhat Actually HappenedWhat Could Have HappenedResulting Influential Sire/DamLong-term Impact
Missing TelephoneSpring Brook Bess Burke sold to George MillerWould have been purchased by LashbrookLed to Osborndale Ivanhoe, Elevation, Starbuck, AerostarShaped modern Holstein genetics
Injured LegMontvic Chieftain injured, Pathfinder offered insteadWhitney would have taken ChieftainRound Oak Rag Apple ElevationFoundation of influential bloodlines
Change of ClothesVisitors saw Temple Farm May while Dunton changedMight never have noticed the cowA.B.C. Reflection SovereignOne of the breed’s most respected sires
Wrong SemenInseminator arrived without Pabst Walker semenTiny Supreme DeKol would have been bred differentlyAlmerson Sovereign SupremeHighly respected Canadian bull line

No Phone, No Starbuck? The Wild Story of the Missing Call

I can’t get over this first story—it blows my mind whenever I think about it. In the early 1900s, A.J. Lashbrook and his brother sold some inherited shares for $250 (not exactly chump change) to invest in Holstein cattle.

Their father spotted three gorgeous heifer calves at Spring Brook Farm, priced at $75 each. I mean, imagine that kind of deal today!

But get this—they didn’t have a telephone to confirm the purchase! So Dad had to return the next day, only to find that the calves had already been sold to George Miller. It turns out that Schilling, the Spring Brook Farm manager, had mentioned the calves to a local feed mill owner, who told Miller. Talk about bad timing!

One of those calves? Spring Brook Bess Burke. Miller raised them, bred them to Sir Johanna Canary DeKol, and sold them to F.C. Schroeder of Moorhead, Minnesota.

“Years later, Mr. Schroeder visited our herd and, when I took him back to the depot, remarked that Spring Brook Bess Burke 2nd was born in a box car just as the train passed the depot after leaving the stockyards,” said Lashbrook.

She eventually found her way to E.C. Schroeder in Minnesota, where she and her daughter made incredible production records when bred to Sir Pietertje Ormsby Mercedes.

Lashbrook later reflected (and I love this quote): “As I look back now, it was indeed fortunate that we did not have a telephone and that those calves never came to our farm. We were only small breeders and… probably never would have developed those cows.”

Here’s the kicker—without that missing telephone, there would have been no Osborndale Ivanhoe, no Elevation, no Starbuck, and no Aerostar. Can you imagine modern Holstein genetics without those bulls? I sure can’t!

The Data Behind Modern Breeding: What Science Tells Us

While historical anecdotes are fascinating, let’s look at what the research says about genomic selection today. A 2020 study published by the National Center for Biotechnology Information found something that really caught my attention: inbreeding can significantly impact how well genomics works as a prediction tool.

The study examined high-producing primiparous dairy cows and found that individuals with an Inbreeding Index between ≥2.5 and ≤5.0 showed a two-fold increase in negative correlations between genomic predictions and actual performance. This affected critical traits, including Milk Production at 305 days, Protein Production, Fertility Index, and Daughter Pregnancy Rate.

What does this mean for your breeding program? Even with perfect genomic tools, factors like inbreeding can throw a massive wrench into the works. Your carefully selected mating might produce unexpected positive or negative results based on genetic interactions our current models can’t predict.

The Luckiest Injured Leg in Holstein History

I love this next story. F.C. Whitney had purchased Montvic Chieftain from T.B. Macaulay. But Chieftain slipped and injured his leg while loading the bull onto the truck. Bummer, right?

Macaulay called Whitney and told him they could have Montvic Pathfinder for the same price!

Now, Pathfinder wasn’t winning any beauty contests. Whitney’s description of him as “as homely a brute as a man ever saw” makes me laugh every time. But his pedigree? Absolutely stellar, with multiple All-American winners. As the text says, “Montvic Pathfinder, some claimed, possessed the best pedigree ever written,” including “four All-American wins to his credit, including aged cow in 1935 and 1936.”

Whitney decided to take a chance on the ugly duckling. At his farm in New York, Pathfinder sired Montvic Pathfinder Prizetaker, proven in the herd of Eugene and Clarence Harvey, Cincinnatus, N.Y. In making his switch from Jerseys to Holsteins, Charles Hope, Round Oak Farm, Purcellville, Va., over four years, purchased 17 Prizetaker daughters from the Harveys, as well as several Montvic Chieftain 6th calves and bought Montvic Pathfinder Prizetaker, himself. He used a son of his, Round Oak Montvic PF General, who sired Round Oak Millie Elizabeth, Elevation’s third dam.

So, luck again. Had Chieftain not banged up his leg, Pathfinder wouldn’t have gone to the United States, and there would have been no Round Oak Rag Apple Elevation.

The Preferential Treatment Problem

The latest research has revealed something that fascinates me: genomic predictions can be significantly biased by the preferential treatment of elite cows. A 2018 study published in the Journal of Dairy Science simulated what happens when elite bull dams receive special treatment.

The researchers found that it could significantly skew genomic predictions when just 5-20% of elite bull dams received preferential treatment (introducing an upward bias in their performance data). This is especially true for traits with low heritability, where the accuracy of genomic predictions is already challenging.

This research explains why sometimes the offspring of “sure thing” matings don’t perform as expected. The genomic values looked great on paper but may have been inflated by the special treatment of the cow families in the reference population. It’s another way chance enters our breeding programs—through human bias and the limitations of our measurement systems.

When Your AI Guy Says “Sorry, I’m Out”

How many times has this happened to you? You call your AI technician with the perfect mating all planned out, and they hit you with: “Sorry, I’m out of that bull’s semen today.”

One of those cows was Tiny Supreme DeKol! Aylmer Petherick had chosen Pabst Walker for Tiny’s next mating, but the inseminator, on the day he came to breed her, wasn’t carrying his semen. “What else have you got?” Aylmer asked. He settled on Hainescrest Sovereign Tycoon.

Almerson Sovereign Supreme, the result of the mating, was eventually classified as Excellent and received a Class Extra rating en route to becoming one of the most respected bulls in Canadian history. It was highly regarded by leading cattlemen of the day, including Pete Heffering and Dave Houck. What a great example of turning what is available into something great!

Who knows? Your backup choice today might create tomorrow’s game-changing bloodline. All those genomic tools might guide your primary selections, but chance still decides whether those straws are in your AI tank when needed.

The 25-35% Gap That Keeps Me Up at Night

Here’s what fascinates me about genomic selection: for all its revolutionary power, it still can’t predict everything. Not even close.

According to research published in the Journal of Dairy Science, current reliability percentages for genomically tested young animals typically hover between 65% and 75% for production traits and even lower for health and fertility traits.

That means that 25-35% of a cow’s genetic potential remains unpredictable through our current genomic models. That’s a huge gap!

Four main factors create this uncertainty:

  1. Gene interactions: Genomic models struggle to capture how genes influence each other. The same marker might perform differently depending on the overall genetic background.
  2. Environmental influences: How genes express themselves varies wildly in different environments. I’ve seen genetically identical cows perform completely differently on neighboring farms.
  3. Genetic recombination: Even with identical parents, each calf gets a unique genetic package. It’s like shuffling a deck of cards—you never deal the same hand twice.
  4. New mutations: Sometimes genetic changes appear absent in either parent, creating traits nobody predicted.

ROI on Genomic Testing: The Numbers Don’t Lie

Let’s talk dollars and cents for a minute. Despite the limitations, genomic testing has demonstrated impressive financial returns. Recent industry analyses suggest that genomic testing of heifers delivers approximately $75-$200 in additional lifetime profit per animal tested, primarily through improved selection decisions and optimized heifer inventory management.

The financial return varies based on several factors:

  • Current replacement costs in your area
  • Your herd’s genetic level relative to the breed
  • How aggressively do you cull based on genomic results
  • Whether you use sexed or beef semen strategically

Even with these impressive returns, the unpredictable 25-30% of genetic potential means some animals will significantly underperform or overperform their genomic predictions. This variability creates risk and opportunity—sometimes, your lowest-ranked genomic heifer produces your best cow. Ask any experienced breeder, and they’ll have at least one story like this!

The Change of Clothes That Changed Everything

This next story makes me smile every time. “Luck played a part, too, in the A.B.C. Reflection Sovereign story.” History might have taken a different course if he had waited for them on his front porch. Doug Dunton walked up from the stable in his barn clothes when they arrived. That September 1942, Jack Fraser, Elgin Armstrong, and Cliff Chant, his herdsman, had stopped at Dunton’s to scout up some cows for Armstrong’s A.B.C. Farm.”

“Wait a minute while I change my clothes,” said Dunton as he approached the house. His visitors sauntered down to the barn. As they walked, they passed a big, white Lonelm Texal Alcartra daughter named Temple Farm May, getting ready to calve. Before the day was out, Armstrong bought the cow for $400.00. Dunton agreed to keep her until she freshened. She was bred to Inka Supreme Reflection, and the calf was A.B.C. Inka May.

What a find! A.B.C. Inka May did everything right. She was a ferocious producer with an Honour List record of 24,141 lbs. milk, 4.67%, and 1,128 lbs. fat in 1947, the same year she was an All-Canadian four-year-old. But her supreme achievement was as dam of A.B.C. Reflection Sovereign (EX-Extra), who many claim was the best bull the breed has produced.

So yeah! Luck also influenced this bull’s genetics. Who knows what would have happened if Dunton had not changed then?

Hidden Gems Hiding in Plain Sight?

This makes me wonder—what excellent cows are we walking past daily, fixated on our genomic printouts?

With the April 2025 evaluation changes, we’re facing a significant recalibration of genetic values. According to the latest announcements I’ve seen, the Net Merit $ (NM$) index is getting a serious makeover: increased emphasis on butterfat (+13% weighting), greater focus on feed efficiency (41% higher combined impact), and doubled weighting for cow livability.

This reranking creates an opportunity to spot “hidden gems” that our current systems might be undervaluing. Are you only chasing the highest numbers, or are you developing that breeder’s eye to recognize special animals others might miss—just like Armstrong spotted value in Temple Farm May?

The best breeders I know combine data with that indefinable “cow sense” that no genomic test can replace.

Navigating the Balance: Genomics vs. Serendipity

Here’s how I think about the interplay between precision and chance in different aspects of breeding:

Aspect of BreedingHow Genomics Influences ItRole of Chance Still Present
Selection DecisionsIdentifies animals with superior genetic potential earlier and more accuratelyWhich animals you choose to test and develop still involves human judgment
Mating ChoicesPredicts outcomes of specific matings with greater precisionAvailability of preferred sires, conception success, and embryo viability remain variable
Trait PredictionsProvides reliable estimates for well-studied traits with high heritabilityNovel traits, gene interactions, and environmental influences remain less predictable
Health OutcomesIdentifies genetic predispositions to certain diseasesMany health events remain unpredictable despite genomic information
FertilityHelps select for improved reproductive traitsIndividual conception events remain highly variable
LongevityPredicts genetic components of productive lifeMany factors affecting actual lifespan remain outside genomic prediction
Elite Animal IdentificationAccelerates discovery of superior geneticsThe specific combinations that create truly exceptional animals still involve elements of chance

Gearing Up for April 2025: What You Need to Know

The latest genomic technology has improved prediction accuracy. I’ve been reading about these new machine-learning algorithms that better account for gene interactions and environmental factors. According to recent research in the Journal of Dairy Science, these models have boosted reliability percentages by about 5-7% for most traits.

That’s progress! But even with these improvements, we’re still looking at about 20-30% of genetic potential remaining unpredictable. And that unpredictable zone? That’s where luck—both good and bad—continues to play its role.

The April 2025 genetic evaluation updates will incorporate these improved models but won’t eliminate chance. According to The Bullvine’s recent report (which I highly recommend reading), we’ll need to recalibrate our sire selection thresholds—what used to be a +2000 NM$ will become approximately +1300 NM$. It’s going to take some mental adjustment for all of us.

4 Ways to Balance Science with Serendipity

As we get closer to the April 2025 genetic evaluations update, here are four strategies I’m recommending to my friends in the industry:

  1. Get familiar with the changes: Take time to understand the revised lifetime merit indices and that base change shift to cows born in 2020. Chuck Sattler from Select Sires advises: “The adjustments coming in April will mean you will likely need to recalibrate the selection levels used for A.I. sires and which cows are bred to beef or sexed semen.”
  2. Don’t put all your eggs in one genomic basket. The industry focuses on an increasingly narrow range of elite genetics. Consider incorporating some differently-bred Holstein cattle that offer unique genetic contributions. Genetic diversity provides more opportunities for unexpected combinations that sometimes create magic.
  3. Build in flexibility: What’s your Plan B when your first-choice matings aren’t possible? Those backup plans sometimes produce better results than the original! Avoid getting trapped in the mindset that there’s only one “right” mating for each animal.
  4. Trust your eyes, not just the numbers. While genomic testing provides incredibly valuable data, don’t lose that breeder’s instinct. The best operations I visited combined quantitative assessment with qualitative judgment—they used printouts and indefinable “cow sense.”

The Bottom Line

As we approach these April 2025 genetic evaluation updates, I keep returning to this fundamental truth: breeding success has always emerged from a blend of scientific precision and happy accidents.

Genomic selection gives us unprecedented insight into genetic potential. Still, the stories of Holstein’s most influential animals remind us that some of our greatest breeding successes came from unexpected turns of fate.

So, does genomic selection take the luck out of dairy breeding? Not a chance. Genomics has given us better tools to capitalize on luck when it strikes. The technology helps us identify promising animals earlier and more accurately. Still, it doesn’t eliminate the fundamental randomness involved in genetic recombination, gene expression, and the countless small decisions that shape breeding outcomes.

The lesson? Use every scientific tool, but keep your eyes open for those unexpected opportunities that genomics can’t predict. Use genomic testing to identify high-potential animals, study the upcoming changes to evaluation indices, and align your breeding program with your farm’s economic goals.

But never forget that sometimes, the most valuable genetic combination might emerge when your inseminator runs out of your first-choice semen, when visitors happen to notice a special cow while you’re changing clothes, or when a replacement bull offered due to an injury turns out to be a breed-defining sire.

Holstein history shows us that luck creates opportunities—but only those with the knowledge and vision to recognize potential can transform those opportunities into lasting genetic contributions. As you prepare for the changes in April 2025, keep one eye on the data and the other open to the possibilities that might lead to your herd’s next great success story.

Key Takeaways

  • Luck shapes breeding success: Historical examples like Spring Brook Bess Burke and Montvic Pathfinder show how chance created legendary Holstein sires.
  • Genomics isn’t perfect: Current tools offer up to 75% reliability for production traits, leaving room for unpredictability in genetic outcomes.
  • Prepare for April 2025 updates: Recalibrate sire selection thresholds as Net Merit $ indices shift focus toward butterfat, feed efficiency, and cow livability.
  • Flexibility matters: Backup mating plans and a keen breeder’s eye can uncover hidden gems that genomic data might overlook.
  • Balance science with serendipity: Use genomic tools strategically while staying open to unexpected opportunities that could transform your herd.

Executive Summary

Dairy breeding has come a long way with genomic selection, but luck remains an undeniable factor in shaping success. This article explores pivotal moments in Holstein history, like Spring Brook Bess Burke’s missed purchase, Montvic Pathfinder’s unexpected rise, and Temple Farm May’s discovery, to show how chance created breed-defining sires. Even today, genomic tools offer impressive reliability (up to 75%), yet factors like genetic recombination and environmental influences leave a 25-35% prediction gap. As the April 2025 genetic evaluation updates approach, breeders must balance precision with flexibility to capitalize on unexpected opportunities. From backup mating plans to spotting hidden gems, this article offers actionable strategies to navigate the intersection of science and serendipity in dairy breeding.

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The Evolution of Dairy Cattle Breeding: From Famous Herds to Genomic Giants

Dive into the history of dairy cattle breeding. How have renowned herds influenced today’s genetics? Uncover their role in modern dairy operations.

Have you ever considered how dairy cow breeding has evolved over the years? It has been an enthralling voyage from the renowned arenas of famous registered herds to the current ‘Genomic Index Age, a pivotal era where genetic giants now rule supreme. In the first part of the twentieth century, renowned herds supported by investor money supplied bulls from high-yielding dams, making them a desirable asset to small dairy producers seeking genetic improvement. Fast forward to today, when genetic evaluations (G.E.) and DNA-based indexing have redefined what it means to have excellent breeding stock. The days of commanding high prices only based on the name of the herd are over. Today, it is all about the science behind genetics for over fifty heritable traits.

Pre-WWII: The Golden Age of Elite Dairy Herds

This was a pivotal period that laid the foundation for the modern dairy breeding industry during this pivotal period. Before World War II, widely recognized dairy herds dominated the dairy breeding business. A herd’s prefix often defines its popularity, not the animals’ genetic merit. Significant investor funds often supported these herds, allowing them to retain high-quality buildings, personnel, and resources. Consequently, they became the preferred supplier for smaller dairy producers looking for high-quality herd bulls.

While these herds were lauded for individual cow’s exceptional milk and butterfat outputs, it is essential to note that their success was not simply due to any genetic improvement. Rigorous management procedures and enhanced nutritional strategies were critical in setting high production records. As a result, these herds made a relatively small genetic contribution to the larger dairy farming community. Their true advantage resided in their operational competence, which smaller farms aspired to replicate by purchasing bulls from these well-known herds. 

Not all animals in these herds were evaluated for performance during this era, and animal marketing trumped genetic improvement. However, the number of purebred registered animals grew in the market share of all dairy cattle.

1945-1960: The Era of Aesthetic Excellence Over Performance 

Between 1945 and 1960, many well-known dairy farms strongly emphasized ‘type’ over productivity. In this context, ‘Type’ refers to the physical appearance of dairy cattle, including body parts, stature/size, and show appeal. The objective was to improve these physical qualities, which often led to cows from these herds receiving showring rewards for their remarkable conformation.

While the emphasis on type resulted in cosmetically improved cows, it did not translate into any significant genetic advancement in milk output. Small dairy producers who depended on bulls from these prominent herds may have produced more attractive cows, but milk yield progress was flat. The need for beauty trumped the necessity for improved functional and yield traits.

New standards were set for ideal type (pictures and models) and yield (M.E.’s and BCA’s) traits during this era. For herds on official milk recording, it was required that all cows in the herd be recorded – a very positive step for genetic comparison procedures and accuracy.  Animal genetic merit started to gain on animal marketing as the primary focus in owning purebreds. Milk producers increased their participation in breed and milk recording programs.

Mid-1960s to 1980: The Great Divide Between Type and Production 

The mid-1960s to 1980 marked a watershed moment in dairy cow breeding, as genetic evaluation information (G.E. became available, especially for productivity traits such as milk output and fat content.

The refusal by the previously dominant display herds to include G.E.’s in their breeding efforts had implications. Their steadfast commitment to type while ensuring animals looked great in the showring resulted in these herds losing significance in genetic progress. And they also lost influence with breed organizations.

Meanwhile, some farmer-breeders saw the promise of accurate young sire sampling programs and accurate genetic indexes and experienced significant increases in herd production. These progressive farmer-breeders’ herds outperformed their type-focused competitors because they utilized production genetic information extensively.

As the breeding business shifted to a more science-driven approach, the gap between show-type herds and those focused on production efficiency grew. Farmer-breeders began to see the importance of using daughter-proven A.I. sires with robust genetic indexes, leaving conventional display herds needing help to retain their prior leadership role. This transition from type to production efficiency marked a significant shift in the industry’s approach to breeding.

During this time, extensive industry-supported research into genetic evaluation procedures and breeding strategies revolutionized the dairy cattle breeding industry. Leadership in genetic improvement started to shift from breeds and prominent herds to artificial insemination organizations. Purebred registered herds on milk recording and type classification programs made moderate genetic progress during this period.

Post-1980: The Revolutionary Impact of Genetic Evaluations

Post-1980, the dairy industry witnessed a revolutionary impact of genetic evaluations. Dairy farmers saw significant advances in the genetic merit of their herds by using assessment tools, including milk recording, type classification, young sire sampling, and elite proven sires. These tools transformed dairy cattle breeding on a monumental scale, leading to profound changes and advancements in the industry, especially for yield traits and mammary systems.

With the advent of genetic research, an expansion in data for new heritable traits, and enhanced genomic evaluation procedures, the dairy cattle breeding industry entered a new era. By the 1990s, the accuracy of genetic assessments had significantly improved, and total merit indexing (TPI, NM$. LPI, JPI, …) became widely used. A.I. sire selectors began to rely heavily on data-driven criteria to find bulls with significant genetic potential. These developments significantly departed from the earlier twentieth-century emphasis on phenotypic features, including type and showring characteristics. The gap in cow productivity widened between show-type herds and production-oriented farms, highlighting the importance of these new tools in driving genetic progress.

The disparity in breeding practices became even more pronounced when farmer-breeders using (post-2008) genomic assessments for total animal merit outperformed those depending on the 1970s breeding philosophy of 50% type and 50% milk yield. This shift in the industry landscape was a wake-up call, as it demonstrated the competitive advantage of genetic indexes in predicting future production performance. The mold had been broken, and this new approach gave farmer-breeders a clear edge in production efficiency and total genetic quality.

Have you seen a change in your breeding practices?

Focusing on genetic indexes rather than pedigrees from well-known prefixes has dramatically changed the breeding business. Many of today’s top-performing herds were among the first to use genomic testing. In today’s competitive dairy breeding market, it is apparent that post-1980 innovations considerably changed dairy animal breeding techniques.

The Era of Genomic Giants: The Modern Landscape of Dairy Cattle Breeding 

Fast-forward to the present time. DNA indexes have become the starting point in animal selection decisions for breeders regardless of their trait priority: type, production, fertility, health, or functionality. For many traits, the age of genomic giants has firmly established itself. Seventy percent of dairy breed pregnancies are the result of using high total merit index genomic indexed bulls. This change demonstrates the decreased value farmer-breeders place on established superior daughter-proven sires 30-40 years ago. Acceptance and wide use of DNA information have replaced the questioning and skepticism of 2008 regarding genomic indexing. Breeding decisions today balance traits of most importance, as well as the accuracy of indexes and plans for future farm viability and sustainability.

The commercial paradigm for flourishing breeding herds has shifted dramatically. The days of high-income returns based only on a renowned prefix in a pedigree are over. Also, there is a selection for just one or two traits and long generation intervals. It is now all about high DNA-determined genetic merit for both males and females. Herd breeding strategies aim to produce high-indexing heifers. Dairy-sexed semen is increasingly utilized to control the size of the heifer herd, and there is a new revenue source from crossbred, half-beef calves. Lower-indexing cows and heifers are often implanted with elite embryos, guaranteeing maximum genetic improvement. The business of dairy cattle breeding is increasingly dynamic and financially based.

Lessons from Sheffield Farms: When Show Wins Don’t Translate to Genetic Legacy 

In May 1960, my family bought my grandfather’s dairy farm, a watershed point in our lives. At the same time, Sheffield Farms from St George Ontario, a well-known display herd, held their dispersal auction. Despite my developing interest in Holstein breeding, I did not attend the sale 50 miles away due to our pressing need to complete a new milk house. Sheffield Farms, known for its multiple show victories, sold cows for an average of CA$3,152 (equivalent to CA$33,506 in 2024) and one for an astonishing $22,000. At the time, the typical milk cow sold for just $325.

Twenty years later, curiosity prompted me to investigate the progeny of Sheffield Farms’ show-winning herd. To my astonishment, none of the top sellers at that auction had significantly affected the Canadian Holstein breed. The sole exception was a heifer calf sold for $4,500, which produced several show-winning daughters before fading into oblivion.

This analysis was eye-opening. It proved that the perceived value of a well-known display herd only sometimes converts into long-term genetic influence. What was genuinely important was not the herd’s show success but the herdsman’s skill to offer animals for competition. This insight highlighted a fundamental point – genetic examinations are significantly more critical than showring awards when planning for long-term genetic advancement.

The Sheffield Farms’ Sale significantly impacted my views. As the dairy cattle industry entered the age of comprehensive genetic studies, it became evident that young bulls with high-performance indexes had a much more significant influence on the breed than older, established bulls bred for show success.

Have prominent registered Holstein herds made a meaningful contribution to genetic improvement? This issue is worth considering, particularly recent advances in dairy cow breeding. Historically, renowned herds enjoyed status, were shown in glossy ads, won contests, and sold for high prices. However, their contribution to genetic improvement becomes less evident as we look deeper. Genetic evaluations (G.E.) and genomic testing have transformed the sector in recent decades. Young bulls with high-performance trait indexes have significantly influenced genetic progress and will result in enhanced milk output, improved efficiencies, increased overall herd health, improved female reproduction, and improved functionality of animals. While traditionally bred registered herds still exist, their leadership role has been replaced by high-merit genomic bulls, now the trend leaders.

Comparative Analysis: Canada, USA, and the World 

In Canada today, the method of breeding dairy cows has heavily embraced genomic studies, with most breed advancements based on DNA indexes. Canadian breeders have swiftly embraced high LPI genomic bulls, resulting in a contemporary marketplace dominated by performance-based selection measures. This forward-thinking mindset guarantees that the genetic merit in Canadian herds continues to flourish, with a growing split from once famous show-type herds.

Across the border in the United States, the scenario is quite similar, with minor regional variances. American dairy producers depend heavily on genetics, with many solely favoring productivity attributes. The presence of proven cow families and high-performance genomic sires in marketing reflects a delicate balance of history and modernity. Nonetheless, using modern genetic data is critical for making considerable genetic advancements. Individual breeders have a significant impact, especially those who can capitalize on high-index progeny and cutting-edge genetic research. Breeding herds often have groups of females with high genetic merit for milk solids yield, ideal breed type, or animal functionality to serve the industry’s evolving goals.

Looking at the worldwide scene, the trend toward genetic-based selection is consistent, while the amount of acceptance differs. Countries like Denmark and the Netherlands have pioneered genomics, quickly incorporating it into breeding efforts. This shift has yielded herds with excellent genetic value and impressive performance measures. In contrast, despite increased interest in genomics due to its promising results, conventional breeding procedures continue to be used in some regions worldwide.

So, how does this impact your personal breeding decisions? The evident message is the importance of genomic assessments and the high total genetic merit genomic bulls are rapidly advancing genetic improvement. If your breeding program continues to emphasize single or two-trait-focused selection, you should reconsider your approach. Consider how incorporating genomic information can improve your herd’s output, health, and overall performance. By matching your strategy with global trends, you can keep your herd competitive and profitable in a constantly changing dairy cattle breeding business. Setting your breeding goals is paramount to your dairy enterprise’s future.

The Bottom Line

The evolution of dairy cow breeding has moved to the tools of herd performance recording, data analysis, benchmarking, genetic research, identification of top females, and extensive use of elite genomic sires from the prior dominance of renowned registered herds. Historical patterns reveal that, although show-winning herds historically dominated, their genetic contributions fell short of their aesthetic attractiveness.

Genetic progress has always depended on progressive breeders capturing increasing data and providing it for industry analysis and use.

With the introduction of genomic assessments and the rising precision of genomic data, dairy producers today have unrivaled tools for driving genetic innovation and improving profit. As DNA indexing grows, breeders will make improved breeding decisions, resulting in calves with higher genetic values. However, this is about more than just cutting-edge technology. It is about incorporating these improvements into practical breeding tactics.

So, where are we going from here? Every dairy farmer and breeder must carefully evaluate their breeding practices. Are you using the most recent genetic data? Do you prioritize traits that will sustain your herd in the long term? The answers to these issues will influence individual enterprises’ success and the future of dairy farming.

As the industry continues to evolve, one thing is sure – a combination of careful research and practical breeding will drive the next age of dairy cow greatness. Preserving profit-focused traditions and embracing developments that provide actual, long-term advantages is essential. Dairy cow breeding’s future depends on all dairy industry stakeholders’ capacity to adapt, develop, and strive for genetic perfection.

Key Takeaways:

  • Pre-WWII, elite herds dominated with investor-backed ventures that set the standard for breeding quality.
  • In the mid-20th century, aesthetics often precede genetic productivity in herd priorities.
  • The advancement of genetic evaluations (GEs) marked a turning point, particularly from the mid-1960s to 1980.
  • Post-1980, the focus shifted decisively towards production enhancement using sophisticated GE methodologies.
  • Today’s breeding practices are dominated by genomic giants, with 70% of pregnancies resulting from high TMI genomic bulls.
  • “Famous” herds now rely less on legacy and more on proven performance metrics and DNA indexes.
  • The story of Sheffield Farms illustrates how historical show successes may not ensure lasting genetic impact.
  • The comparative landscape of dairy cattle breeding reflects differing influences between geography and breeder philosophy.

Summary:

This article tracks the transformation of Dairy cattle breeding from the pre-WWII era to contemporary practices, highlighting the changing influence of famous registered herds. Initially, elite herds were valued for breeding stock provision, yet post-WWII, they prioritized aesthetic traits at the expense of production improvements. As genetic insights solidified by the 1980s, the prominence of show herds waned, paving the way for genomic evaluations that reshaped modern breeding strategies. Presently, high-index genomic bulls surpass the historical impact of these herds. The article critiques the actual genetic influence of these renowned herds, drawing comparisons between practices in Canada, the USA, and globally. Examples like Sheffield Farms demonstrate that achieving show success does not necessarily correlate with long-term genetic legacy, critically examining past and present breeding paradigms.

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Modernized LPI to Focus on Greenhouse Gas Emissions and Milkability Enhancements for Canadian Dairy Cows

Discover how Lactanet’s updated Lifetime Performance Index will enhance dairy cow genetics by focusing on greenhouse gas reduction and milkability. Ready for the change?

The Lifetime Performance Index (LPI) is a pivotal tool in the Canadian dairy industry, aiding producers in breeding top-quality cows. It evaluates various traits like production, health, and fertility to help farmers enhance their herds. As Lactanet gears up to update the LPI early next year, the changes will refine trait weightings, add new subindexes, and introduce a sustainability element. This aims to improve focus on reducing greenhouse gas emissions and enhancing milkability, providing a more comprehensive tool for breeders while maintaining its trusted reliability.

As Brian Van Doormaal, Chief Services Officer at Lactanet, points out, “The expected response is relatively high when you breed for these traits.” His expertise in the field adds credibility to the information, keeping the reader engaged.

Navigating Genetic Selection: Leveraging the LPI to Cultivate Optimal Dairy Herds 

The Lifetime Performance Index (LPI) is a critical tool for dairy producers, enabling precise and foresighted breeding of high-quality cows. Integrating traits like production, health, fertility, and longevity, the LPI provides a comprehensive genetic potential assessment. This holistic approach aids in identifying top performers and making informed breeding decisions tailored to producers’ specific goals, reinforcing the importance of the LPI in the dairy industry. 

One of the LPI’s key strengths is its ability to evaluate traits directly impacting milk production and cow health. Producers can select cows excelling in these areas by analyzing milk yield, fat content, and protein levels, enhancing overall herd productivity. Simultaneously, health and fertility traits are meticulously evaluated, enabling the breeding of robust, resilient cows capable of maintaining peak performance. 

Moreover, the LPI’s detailed sub-indexes for specific traits, such as reproduction and health & welfare, allow producers to focus on particular areas of interest. Whether improving calving ability, reducing disease incidence, or enhancing milking speed and temperament, the LPI provides targeted insights for meaningful genetic improvements. The LPI is a strategic guide that helps dairy producers navigate genetic selection complexities to achieve a balanced and optimized herd. 

Modernizing the Framework: Enhancing the LPI for Contemporary Dairy Farming

The proposed changes to the Lifetime Performance Index (LPI) involve significant updates aimed at modernizing its framework to better reflect current priorities in dairy farming. The Health and Fertility group will be divided into two distinct subgroups: Reproduction, which now includes calving and daughter calving abilities, and Health and Welfare. A new Milkability subgroup will incorporate traits such as milking speed and temperament, which were not previously part of the LPI. 

Another significant update is the inclusion of the Environmental Impact subindex, which initially focused on Holsteins due to available data. This subindex evaluates feed and methane efficiency, addressing the need to reduce greenhouse gas emissions. This change highlights Lactanet’s commitment to sustainability by considering how traits like body maintenance, which correlates with a cow’s stature and environmental footprint, impact feed energy usage. 

These enhancements refine how breeders can utilize the LPI, offering precise tools for selecting traits that align with production, health, sustainability, and overall herd improvement. Despite these adjustments, the new LPI is expected to closely resemble its predecessor, retaining a 98% correlation with the current index.

Subtle Shifts, Significant Impact: Van Doormaal on the Continuity and Enhanced Precision of the Modernized LPI

Brian Van Doormaal, Chief Services Officer for Lactanet, emphasizes the subtle changes in the modernized LPI and their alignment with producers’ objectives. “It’s not the relative weighting that determines how much of an impact breeding for these traits could have,” Van Doormaal explained during the Open Industry Session webinar. “It’s your expected response when you breed for these traits. And in these cases, the expected response is relatively high.” 

Van Doormaal underscores that the modifications will not compromise producers’ ability to concentrate on specific traits. He asserts, “When all the numbers are crunched, and the newly introduced traits are brought into the index, the list of top-rated bulls in the categories will remain largely unchanged today.” 

He reassures that the anticipated consistency in top performers reflects the robustness of the current system. “What I believe we’ll be looking at next April is an LPI that will be 98 percent correlated with today’s LPI,” he noted. This continuity alleviates concerns among breeders about potential disruptions or strategic shifts. 

Moreover, Van Doormaal points to the high expected response rates from breeding for the newly emphasized traits. This outcome is rooted in rigorous data analysis and the integration of new genetic discoveries, enhancing the predictability and efficiency of the breeding process. Thus, while the LPI evolves to include modern considerations, its core principles and effectiveness as a breeding tool remain steadfast.

Collaborative Consultations: Tailoring the LPI to Breed-Specific Genetic Goals 

The consultation process between Lactanet and breed-specific organizations has been extensive and collaborative. Since Brian Van Doormaal’s initial proposal in October 2023, Lactanet engaged with Holstein, Ayrshire, Jersey, and Guernsey representatives to refine the modernized Lifetime Performance Index (LPI). Significant discussions focused on fat versus protein weightings, which vary by breed. For example, Holsteins may prioritize protein due to market demands, while other breeds may emphasize fat based on their production systems or consumer preferences. These consultations highlighted the diverse breed-specific goals within the LPI framework. Additionally, Holsteins addressed reproductive health issues like cystic ovaries, whereas Jerseys focused on balancing durability and production. This collaborative dialogue has been crucial in tailoring the LPI to meet the unique genetic goals of each breed.

Refined Genetic Insights: Expanding to Six Sub-Groups for Comprehensive Dairy Cow Evaluation 

The new index will expand from four to six sub-groups of genetic traits, providing a more nuanced evaluation of dairy cow genetics. The existing Health and Fertility category will now be split into Reproduction and Health and Welfare sub-groups. This change includes specific traits like calving and daughter calving ability, offering a more detailed picture of reproductive performance

Introducing the Milkability subgroup will also incorporate milking speed and temperament, which were previously not part of the LPI. By focusing on these practical traits, the modernized LPI aims to provide producers with more comprehensive and actionable genetic information.

Green Genes: Embedding Environmental Impact into Holistic Dairy Cow Selection

The Environmental Impact subindex marks a pivotal moment in genetic selection, highlighting the need for sustainable dairy farming. This subindex, initially for Holsteins, focuses on feed and methane efficiency to reduce the environmental footprint. Extensive data from Holsteins allows for a robust assessment of these traits. This subindex includes body maintenance, linking a cow’s size with its energy use. More giant cows need more energy for maintenance, affecting milk production. Integrating body maintenance ensures a holistic approach, combining efficiency in milk production with environmental responsibility.

Streamlined Insights: The Refined and Accessible LPI for Informed Breeding Decisions 

Modernizing the Lifetime Performance Index (LPI) aims to refine metrics and enhance communication with dairy producers. The updated LPI offers a clearer understanding of a cow’s performance by reconfiguring existing genetic traits into six sub-groups. These subindexes – including Reproduction, Health and Welfare, Milkability, and Environmental Impact – provide specialized insights to guide targeted breeding strategies. For example, breeders looking to enhance milking speed and cow temperament can focus on the Milkability subgroup. Similarly, those interested in sustainability can reference the Environmental Impact subindex for feed and methane efficiency metrics. This structure allows each component to serve as a detailed genetic evaluation tool, aligning with specific breeding goals and operational realities.

Anticipated Outcomes: A Nuanced Yet Stable Transition for Dairy Producers

The revamped Lifetime Performance Index (LPI) promises a smooth transition for dairy producers. Integrating new traits like milk ability and environmental impact with existing core attributes, the modernized LPI offers a comprehensive cow evaluation. Van Doormaal highlights a 98 percent correlation with the current LPI, ensuring minimal changes in top-rated bulls and maintaining confidence in breeding decisions.

Precision in Breeding: Leveraging Relative Breeding Values for Clear Genetic Insights

Each sub-index evaluation will be presented as a “relative breeding value” (RBV), clearly measuring a bull’s genetic potential. The breed average is 500 with a standard deviation of ±100, standardizing trait evaluations for more straightforward interpretation. For instance, Lactanet’s analysis of Canadian Holstein bulls showed that 38.7% had RBVs between 450 and 550, 24% ranged from 350 to 450, and 25% fell between 550 and 650. This RBV system simplifies genetic evaluations and empowers breeders with breed-specific insights.

The Bottom Line

The modernized LPI represents a strategic evolution in dairy cow genetic evaluation, balancing productivity with enhanced health, welfare, and environmental sustainability. The revised LPI offers a more comprehensive tool for breeders by adding traits like calving ability and ecological impact. Consultations have ensured breed-specific needs, such as addressing cystic ovaries in Holsteins, are considered. Introducing relative breeding values makes the LPI user-friendly and effective for informed decisions. This new framework supports continuous herd improvement and aligns with the industry’s goal of reducing greenhouse gas emissions. As Brian Van Doormaal noted, while rankings may remain unchanged, the updated index promises greater precision and relevance, marking a step forward for the Canadian dairy industry.

Key Takeaways:

  • Emphasis on reducing greenhouse gas emissions with a new Environmental Impact subindex, including feed efficiency and methane efficiency, available initially for Holsteins due to data availability.
  • Division of the Health and Fertility group into separate Reproduction and Health and Welfare sub-groups, adding traits like calving ability and daughter calving ability.
  • Introduction of the Milkability subgroup to encompass milking speed and temperament traits, enhancing cow manageability in dairy operations.
  • Body Maintenance is included in the Environmental Impact subindex to factor in the environmental cost of maintaining a cow’s condition relative to its milk production capacity.
  • The modernized LPI aims to remain highly correlated with the current index, ensuring continuity while incorporating new traits.
  • Lactanet’s consultations with breed-specific organizations ensure the updated LPI will account for the unique genetic goals and concerns of different dairy breeds.
  • The updated LPI framework will streamline use, presenting evaluations as relative breeding values based on a standardized breed average, facilitating easier decision-making for breeders.

Summary:

The proposed modernization of the Lifetime Performance Index (LPI) by Lactanet aims to refine genetic selection for Canadian dairy cows by introducing new sub-groups and traits, emphasizing sustainability through reduced greenhouse gas emissions and enhanced milkability, and maintaining breed-specific goals. Brian Van Doormaal assures that these changes will not impede the core utility of the LPI for breeding high-quality cows, with the expected outcome being a closely correlated index to today’s LPI. Detailed consultations and analyses reveal that while nuanced adjustments will provide more precise breeding values, the top genetic performers will largely remain consistent.

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