Archive for Daughter Pregnancy Rate

Daughter Pregnancy Rate (DPR) vs. Cow Conception Rate (CCR): Which will help you improve your herd’s fertility?

Learn the main differences between DPR and CCR in dairy cow fertility. How can these measures improve your herd’s breeding success and profits?

Think about dairy farming as solving a puzzle, where you want high milk production and healthy cow fertility. In the 1990s, breeders focused more on milk fat and protein, but this caused fertility problems. Cows had longer gaps between giving birth, which resulted in reduced productivity and profit. Today, we aim for balance, and tools like the Daughter Pregnancy Rate (DPR) and Cow Conception Rate (CCR) help us understand fertility better. However, it can be challenging to determine the appropriate times to use these tools and to distinguish between their unique functions. This article allows farmers to balance producing milk and keeping cows healthy to earn more money.

The Evolution of Dairy Cow Fertility Metrics

In the 1990s, the dairy industry focused on increasing milk production by selecting cows with higher milk fat and protein. However, this emphasis led to problems as cows became less fertile and required more time to conceive. By the early 2000s, a shift in strategy was necessary to address these fertility issues. 

YearAverage Milk Production (lbs/cow/year)% Improvement in Milk ProductionAverage Fertility Rate (%)% Change in Fertility Rate
199016,000 45 
200018,50015.63%42-6.67%
201020,0008.11%39-7.14%
202023,00015.00%36-7.69%

The introduction of the Daughter Pregnancy Rate (DPR) in 2003 offered a solution. The DPR predicts how frequently cows become pregnant every 21 days, enabling farmers to select bulls that produce more fertile daughters without compromising milk yield. In 2010, the Cow Conception Rate (CCR) was introduced to measure how likely cows are to conceive after insemination, allowing for more informed breeding decisions and improved herd health. 

Implementing DPR and CCR addressed the fertility challenges of the 1990s, resulting in healthier and more profitable dairy herds.

Delving Into Daughter Pregnancy Rate (DPR)

Daughter Pregnancy Rate (DPR) is a key measure in the dairy industry used to evaluate the fertility potential of dairy cows. It shows the percentage of non-pregnant cows that get pregnant every 21 days. This helps predict how well future daughters of a bull will become pregnant compared to the average. 

DPR calculation includes: 

  • Tracking ‘days open’ is the time from calving until a cow gets pregnant again.
  • Considering the waiting period after calving, this data can be turned into a pregnancy rate with a formula.
  • Looking at up to five lactations across different cows for a broad view.
  • Suppose the Predicted Transmitting Ability (PTA) for the pregnancy rate increases by 1%. In that case, it lowers ‘days open’ by four, showing potential genetic progress.

DPR is important for farmers who want to make their herd better over time. It’s included in key selection tools like Net Merit (NM$), Total Performance Index (TPI), and Jersey Performance Index (JPI). A study by the University of Wisconsin-Madison showed that raising DPR by 1% could make an average of $35 more per cow yearly.

However, DPR has its downsides. Its heritability is only 4%, meaning environment and management have a significant impact. Because of this, genetic progress is slower. Also, calculating the data needed for DPR can be challenging for some farmers.

The Precision of Cow Conception Rate

The Cow Conception Rate (CCR) is essential in dairy farming because it shows how well a cow can get pregnant. Unlike broader fertility measures, it measures how many inseminations lead to a confirmed pregnancy. This specific focus makes CCR valuable for checking if artificial insemination is working on farms. Its calculation is simple: it looks at the percentage of cows pregnant after being inseminated. This precise measure helps farmers evaluate their breeding plans quickly. Good CCR means fewer inseminations, which cuts costs and helps maintain steady calving, leading to regular milk production. This improves a cow’s overall productivity over its lifespan, showcasing the economic significance of CCR. 

Nevertheless, the Cow Conception Rate (CCR) presents challenges. It can be affected by factors like the cow’s health, semen quality, and the timing of insemination. These factors mean that CCR might not always be accurate, so farmers should consider them when interpreting CCR data. However, when used carefully, CCR helps improve dairy farming, supports genetic advancements, and promotes better breeding practices.

Cow Conception Rate (CCR) has even lower heritability, 1-2%. This means it’s even more affected by outside factors like breeding methods and cow health. Changing this trait with genetics alone is hard. Still, DPR and CCR are critical to improving the whole herd. Knowing how these traits are passed down helps farmers pick the right breeding goals and improve how they care for their cows to boost fertility.

Contrasting DPR and CCR

The Daughter Pregnancy Rate (DPR) and Cow Conception Rate (CCR) are critical for understanding dairy cows’ fertility. They measure different things, which affects how they are used. 

AspectDaughter Pregnancy Rate (DPR)Cow Conception Rate (CCR)
TimeframeExamine a cow for 21 days to determine whether she becomes pregnant.Examines each breeding attempt to decide whether or not it was successful.
ScopeIt covers overall herd fertility, including how well cows are detected in heat and inseminated.It focuses on whether each insemination results in pregnancy.
Genetic InfluenceMore about long-term genetic improvement focusing on genetics.About the immediate outcome and is more affected by factors like how well cows are managed.
Data RequirementsRequires extensive data, such as calving dates and the number of pregnant cows.It is more straightforward, requiring only information on whether inseminations worked.
Practical ApplicationsIt is excellent for long-term planning to improve cow genetics and reduce the time between calvings, helping keep cows healthy and farms profitable.It helps with quick decisions about breeding and shows how well an AI program is working, ensuring constant milk production.

Farmers use the Daughter Pregnancy Rate (DPR) and Cow Conception Rate (CCR) to help with breeding goals. Choosing bulls with high DPR scores improves herd fertility and encourages cows to give birth more often. This is usually combined with traits like milk production and disease resistance, which helps with herd health and long-term success

CCR shows how well cows get pregnant after insemination, which helps determine whether the expensive semen works. Watching CCR also helps plan when to breed cows, reduce the time without calves, and identify any food or health problems to increase productivity

Why Only Using Positive DPR Sires May Not Be The Best Strategy

Only bulls with a good Daughter Pregnancy Rate (DPR) might not be the best way to make cows more fertile. That’s because many things affect how well cows can have calves. First, DPR isn’t very reliable because only a tiny part, about 4%, comes from genetics. Weather, food, and care matter more for cows with calves. Also, sometimes bulls with good DPR might not be as good at producing milk, so it’s better to balance these traits for healthy cows. 

If you focus only on DPR, you could miss other vital traits like the Heifer Conception Rate (HCR) and Cow Conception Rate (CCR). These measures help understand how well cows can get pregnant. Plus, only thinking about genetics skips over essential factors like how cows are fed and cared for every day. Improving these areas can often boost how well cows reproduce faster and more effectively than just looking at their genes.

Another major problem with the Daughter Pregnancy Rate (DPR) is that it doesn’t account for the time farmers let cows rest before breeding, known as the voluntary waiting period (VWP). For example, suppose a farm lets high milk-producing cows wait longer before breeding. In that case, these delays can make their fertility look worse in the DPR calculations. This happened with the bull Lionel, whose daughters have a low DPR of -4.4 but a better Cow Conception Rate (CCR) of -0.3. Lionel’s daughters produce much milk, so owners let them keep milking longer before breeding them. Even though they get pregnant quickly once bred, the DPR unfairly lowers their fertility score because it doesn’t take this waiting time into account. Unlike DPR, CCR focuses on whether cows get pregnant, not when they are bred. Reflecting the shift from DPR to CCR, Holstein USA has reduced DPR’s importance from 0.4 to 0.1 and increased CCR’s from 0.1 to 0.4 in their fertility index. 

Embracing the Comprehensive Daughter Fertility Index

Farmers might consider using the Daughter Fertility Index (DFI) instead. DFI looks at more than just DPR, including calving ease and how often cows get pregnant, giving a better overview of a cow’s ability to reproduce. This helps farmers make better breeding choices, looking at the cow’s genetic traits and how well she fits into farm operations

In many places, the Daughter Fertility Index (DFI) is key for judging a bull’s daughter’s reproduction ability. DFI includes: 

  • Daughter Pregnancy Rate (DPR): Measures how many cows get pregnant every 21 days, showing long-term fertility.
  • Heifer Conception Rate (HCR): How likely young cows are to get pregnant when first bred.
  • Cow Conception Rate (CCR): Examines how often adult cows get pregnant after breeding.
MetricContribution to Profitability
Daughter Pregnancy Rate (DPR)Reduces days open, leading to more consistent milk production cycles and lower reproductive costs, enhancing long-term genetic improvement.
Cow Conception Rate (CCR)Focuses on immediate pregnancy success, reducing insemination costs, optimizing calving intervals, and improving short-term financial margins.
Daughter Fertility Index (DFI)Combines genetic evaluations to target comprehensive fertility improvements, effectively balancing reproduction with production demands to maximize profit.

Looking at these factors, DFI gives a fuller picture of a bull’s daughters’ fertility, helping farmers make smart farm breeding decisions.

Harnessing Technology

The future of dairy farming is changing with new technology. Tools like automated activity trackers help farmers determine the best time to breed cows by watching their move. This helps make more cows pregnant, improving the Cow Conception Rate (CCR). For instance, devices like CowManager or Allflex watch how cows move and eat, helping farmers know when to breed. This can make CCR better by up to 10% in some cases. One tool, the SCR Heatime system, uses rumination and movement tracking to find the best times for breeding, potentially raising pregnancy rates by up to 15%. 

Additionally, AI-powered imaging systems give detailed insights into cows’ health. They help find health problems early, making the herd healthier and more fertile. For example, some farms use AI systems that combine this tracking data with other scores to improve breeding choices, potentially boosting overall herd fertility by up to 20%. 

Data analytics platforms are essential for managing herds. They help farmers understand large amounts of data and predict health and reproductive performance. Reducing open days or when a cow isn’t pregnant can improve the Daughter’s Pregnancy Rate (DPR). 

Using data helps make dairy farms more efficient and profitable. These new tools allow for better choices, leading the way to the future of farming as we approach 2025 and beyond.

Leveraging DPR and CCR for Enhanced Herd Management

In today’s dairy farming, using the Daughter Pregnancy Rate (DPR) and the Cow Conception Rate (CCR) helps improve herd management and make more money. Here’s how they can help: 

  • Use DPR for Future Improvement: Choose bulls with high DPR scores to slowly improve your herd’s fertility. This can help cows get pregnant faster and shorten the time they don’t produce milk.
  • Apply CCR for Fast Results: Focus on CCR to speed up breeding decisions. This ensures that cows get pregnant on time and continue producing milk efficiently.
  • Leverage the Daughter Fertility Index (DFI): The DFI is an overall measure that includes genetic and environmental factors and can boost reproductive performance and sustainability.
  • Adopt New Technologies: Use advanced tools like health monitors and AI systems for real-time updates on cows’ health and fertility. These tools let you act quickly to fix any problems.
  • Review and Change Plans: Always review and change your breeding plans to accommodate your farm’s changing needs and market conditions.

Using DPR and CCR data to improve your breeding program, you can boost your herd’s fertility, productivity, and long-term gains, ensuring success on your farm. Start by checking your current metrics and getting advice from a breeding expert to make a customized plan for your herd.

The Bottom Line

We’ve discussed two essential ways to measure fertility in dairy cows: Daughter Pregnancy Rate (DPR) and Cow Conception Rate (CCR). These are helpful tools for dairy farmers who want to get the most out of their cows, both now and in the future. Knowing when and how to use DPR and CCR helps farmers make smart choices that fit their needs. 

The main idea here is about picking the right ways to improve how cows reproduce. As farming changes, mixing old methods with new technology is essential. Doing so can lead to a better and more prosperous future. This approach is like standing at a crossroads, choosing between old practices and the latest technology. 

It’s time for dairy farmers to look at their plans for breeding cows. Using what they’ve learned can help them make better choices. Imagine a future where every cow is used to its full potential and every choice is based on data. Are you ready to solve the final piece of this puzzle and revolutionize your herd’s potential?

Key Takeaways:

  • Daughter Pregnancy Rate (DPR) and Cow Conception Rate (CCR) are critical fertility metrics in dairy cattle breeding. Each provides unique insights into herd reproductive performance.
  • DPR evaluates long-term fertility and genetic improvement but is criticized for its instability due to calculation methods based on herd management variables rather than direct breeding outcomes.
  • CCR offers a more immediate assessment of a cow’s conception success, making it a practical tool for evaluating breeding effectiveness and managing costs in dairy operations.
  • The shift from primarily focusing on milk production to integrating fertility metrics like DPR and CCR is crucial for enhancing the profitability and sustainability of dairy farming.
  • Technological advancements in reproductive analytics are reshaping the dairy industry, offering farmers new tools to optimize reproductive strategies and overall herd management.
  • Farmers must balance DPR and CCR based on their specific operational goals. DPR favors long-term genetic strategies, while CCR addresses immediate breeding outcomes.

Summary:

The article looks at two essential tools in dairy farming: Daughter Pregnancy Rate (DPR) and Cow Conception Rate (CCR). These help farmers decide how to breed cows for better fertility and milk production. In the past, dairy farming focused too much on milk, which hurt fertility. DPR helps understand long-term fertility, while CCR shows how likely a cow is to get pregnant now. New technology like activity trackers and AI can help make dairy farms more productive and sustainable. But be careful with DPR; it’s not perfect. DPR and CCR can help farmers make smart decisions to improve their farms.

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Fertility: You Get What You Breed For

How often have you heard a 4H leader, FFA member, classifier or show judge say a heifer or cow must have slope from her hips to her pins and be wide in the pins because that’s what we need for good fertility? Yes we have all heard that many times. But is it true? Could it be that the Holstein bloodlines we have selected were poorer for fertility than other bloodlines we left behind half a century ago? And that rump conformation has a low correlation with fertility.

A Colorful Opinion

Something we can all agree on is that the fertility levels in our herds, the world over, are not what breeders would like them to be. I well remember just a year ago when I had a discussion with an old time Jersey breeder. True to form he was telling this Holstein guy that Holstein breeders have ruined the breed. Sure higher butterfat and protein yields and udders much higher off the ground were great moves but why the excessive stature, very flat and deep rear rib and the demand that animals be tall in the front end when nature did not make them that way? “Jersey cows don’t need to have sloping rumps in order to quickly get back in-calf. So why do Holsteins need sloping rumps?” His bottom line was that by going for the tall skinny cow syndrome we have selected against reproductively sound females. His concluding statement was “You are breeding cows not runway models.” Think about it, shorter, rounder cows that may give a little less milk but get in-calf quicker are very likely preferred by milk producers to the tall, deep rear rib, walk uphill ones.

Have we won a Little but Lost a Lot?

Have we selected our Holsteins for the ones that do not quickly get back in-calf? Is it possible that our breeding strategies have taken us in a wrong direction when female fertility is frequently the biggest cow problem that breeders have? (Read more: How Healthy Are Your Cows?)

Certainly over the past half century the average production of Holsteins has doubled. And yes in the past decade we are seeing more outstanding scoring (type classification) cows. And the winners at the shows are super cows with awesome mammary systems.

However whether it is genetics, nutrition or management, our calving intervals are longer and pregnancy rates are perhaps half what they were forty years ago. As well with the need for breeders to focus today on profitability there is the need to replace high cost manual labour with technology and there are moves ahead pointing to less use of drugs and medicines for food safety reasons. Therefore we need to find some way to put reproduction efficiency back into the Holstein cow. And do it by selection rather than by cross-breeding.

Skinny at Odds with Conception

Research and breeder experience has brought to our attention that cows that have above average body conditioning get back in-calf quicker and with less trouble than cows that sacrifice their body condition due to high yields, poor nutrition, inadequate transition cow feeding, poor conformation, … or maybe some combination of all of those.

The Billion Dollar Question

So I ask. “Now that we have sire and cow indexes for Daughter Pregnancy Rate (USA) and Daughter Fertility and Body Condition Score (Canada) are breeders using those indexes in their Breeding Programs?”

Bulls That Get Used

The Canadian Dairy Network, last week, published the thirty Holstein sires with the most daughters registered in Canada in 2012 (Read more: Canadian A.I. Market Share and Most Popular Sires for 2012) accounting for 40% of the total registrations. The remaining 60% were sired by 5900 other bulls. The Bullvine decided to study in some depth the 20 sires with the most registered daughters in Canada in 2012. Those twenty sired 35% of the females registered which should be a good benchmark for where the breed is heading.

Table 1 Sire Comparison – 2012 Daughters Born vs. 2011 Top Sires Available

GroupLPIMilk (kg)Fat (kg / %)Protein (kg / %)CONFMSF&LHerdLifeDFSCSUdepthCA
20 Bulls-most registered 20122075103160 /+.21%41 / +.06%15128105982.894s102
20 Bulls - top in 20112392139367/+.16%55 / +.07%101091081022.874s104
Difference-317-362-7-1452-1-3-4-0.020-2

Table 1 compares the twenty sires with the most registered daughters in 2012 to the top twenty Canadian proven LPI sires available to Canadian breeders in 2011. The short answers to the comparisons are: breeders use sires with lower LPIs, less production, more type, less fertility and less Herd Life than the very top LPI sires that A.I. organizations marketed. The shocking truth is that ten of the top twenty most used sires were below average for their Daughter Fertility (DF) indexes. One of those twenty sires had a DF index of only 88 while the top two sires were rated at 107 & 106. High (top 10%) but not overly high.

In case you are wondering if this is a Canadian phenomenon you can refer to a recent Bullvine article (Read more: Top Sires North American Breeders Are Using). The sires with most registered daughters in the USA have the same deficiency in their genetic merit for female fertility. Six of the top ten bulls with the most registered daughters in the middle half of April 2013 were below average for Daughter Pregnancy Rate. Different country same story.

Let’s take the Bull by the Horns

Even though we have only had fertility indexes on bulls for a few years, we as breeders are not using them to genetically improve female fertility in our herds. And it likely goes beyond that – are our A.I. organizations using them when selecting the parents of the next generation of bulls? After all over 90% of the genetic improvement in a herd comes from the sires used.

Fertility Sires

Sires do exist that top the April 2013 North American TPI™ and LPI listings and have fertility ratings in the top 25% of the Holstein breed. Breeders wishing to genetically improve their herds for female fertility should consider the following sires:

Table 2 Top Sires with High Fertility – April 2013

Table 2 Top Sires with High Fertility – April 2013

Click on image for enlargement

Of course we all want to know what we will have to give up to get the female fertility. Further analysis of the twenty-four bulls listed in Table 2 shows that only significant concession would be in ‘show type’ for eight of the twelve top proven sires.  All bulls on this listing have above average indexes for PTAT or CONF.

The Bullvine Bottom Line

Half a century of breeding for increased yields, taller and more angularity cows have taken their toll on the fertility in our herds. Female fertility indexes are available for both males and females. With genomics these indexes became much more accurate. Now is the time to put the genetics for female fertility back into our modern Holsteins. It is not a “Perhaps or Maybe”, it is a “MUST”!


The Dairy Breeders No BS Guide to Genomics

 

Not sure what all this hype about genomics is all about?

Want to learn what it is and what it means to your breeding program?

Download this free guide.

 

 

 

FACT VS. FANTASY: A Realistic Approach to Sire Selection

How often do you select a mating sire for the reasons you typically cull animals, as opposed to what your perceived ideal cow looks like?  Further to our discussion about what the Perfect Holstein Cow looks like we here at the Bullvine started to ask ourselves, “How often do we choose our matings based on what we think the perfect cow looks like? vs. what our true management needs are?” Far too often sire selection is based on the fantasy of breeding that next great show cow or VG-89-2YR instead of facts needed to breed that low maintenance cow that will stay in your herd for many lactations and produce high quantities of milk.  Do your sire selections overlook your management needs?

Speedy Selection. Long-Lasting Problems

Discernment is the hardest part of sire selection.  Seeing your herd for what it is and what its genetic needs are is step one.  Step two is choosing what will work for you almost three years from now when the daughters of the sires you use today will be entering the milking string.  The old adage was “breed for type and feed for production.”  But how many breeding stock animals have you sold recently based solely on conformation?  How many will you be selling in three years based on their type?  What are the revenue sources for your farm now and in the future?  If your answer is “We get our revenue from the milk cheque from as few cows as possible and with as much profit per cow as possible” then selecting for type could mean that your sire selection is out of alignment with your management needs.

How Can You Tell If You Are You Out of Sync?

One place to determine where your herd has issues is to look at the reasons for and the frequency of culling. Every cow that leaves your herd for any reason other than a profitable sale is an indicator of the issues that could be arising from sire selection that is out of alignment with what is going on in your herd.

The Bullvine found the following information on milking age females that are removed from herds:

  • Over 35% of cows in a herd are replaced annually. That is costly!
  • The top known reasons for culling or removing cows are:
    • Infertility  / reproduction                    23.1%
    • Sold for dairy purposes                       21.4%
    • Mastitis                                               13.8%
    • Feet and Legs                                        9.6%
    • Low production                                     7.6%
    • Total    75.5%
  • The other known reasons for culling or removing cows are:
    • Injury               10.0%
    • Sickness           7.0%
    • Old Age           2.4%
    • Diseases          1.8%
    • Bad Temperament      0.9%
    • Difficult Calving          0.9%
    • Conformation 0.9%
    • Slow Milker                 0.6%
    • Total    24.5%

Are You Breeding to Spend Money or Are you Breeding to Make Money?

You may be comfortable with your culling rate especially if it isn’t too far off “normal”. However when you look closely at the cows that remain in your herd how “needy” are they?  Staff time, vet calls, hoof trimming, semen, drugs, supplies, extra time in the dry cow pen and removing cows from herds before they reach maturity – these all add up to significant dollars down the drain.  Therefore, anything that can be done in sire selection to minimize these costs goes right to improving the financial bottom line.  All unbudgeted costs mean less profit. If an animal is culled early, it does not matter where she placed at the local show or that her sire was a popular bull that left fancy udders.  If he also left poor feet and low fertility, that costs you money.

A More Realistic Approach: Breed for the Bottom Line Not Just the Top Number

Often top bulls for total index are put forward to breeders for their use, without regard for the bull’s limiting factors.  The Bullvine doesn’t support that approach.  We recommendation that minimum sire selection values be set for the reasons cows are culled so that sires used in a herd don’t create new problems while the breeder tries to solve the current ones.

Here are the Bullvine we recommend the following requirements bulls should meet to be considered for use by bottom line focused breeders:

  • In Canada
    • Lifetime Profit Index   > +2000*
    • Daughter Fertility          > 100
    • Somatic Cell Score         < 2.90
    • Feet & Legs                      > +5
  • In USA
    • Total Performance Index        > 2000*
    • Daughter Pregnancy Rate          > 1.0
    • Somatic Cell Score                    < 2.90
    • Feet & Legs Composite               > 1.0

* A high minimum value has been set for both LPI and TPI to address the removal of cows for low production and so animals sold for dairy purposes can be in demand for their milk producing ability.

THE BULLVINE BOTTOM LINE

Every dairy breeder wants a superior herd and wants to eliminate the daily annoyances, costs and loss of valuable cows due to infertility, mastitis and feet problems and low production. Breeders should choose the best sires that correct the actual problems that they face in their herd instead of chasing a fantasy that has nothing to do with their reality.

The Dairy Breeders No BS Guide to Genomics

 

Not sure what all this hype about genomics is all about?

Want to learn what it is and what it means to your breeding program?

Download this free guide.

 

 

 

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