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Category Archives: Alta News

Agreement on Plans to Merge Koepon & CRI

The boards of directors of Koepon Holding BV and Cooperative Resources International (CRI) have reached agreement on a plan to merge their organizations. The agreement is non-binding, and subject to due diligence and other customary conditions, including receipt of requisite governmental and other consents and approvals. Once completed, final agreement will be conditional upon approval by both boards of directors as well as the delegates of CRI. If successful, the organizations plan to formalize the merger by mid-2018.

Both Koepon and CRI, through Alta Genetics and GENEX, are global providers of bovine genetics and related services. Similarly, Koepon and CRI subsidiaries, Valley Ag Software and AgSource, provide herd management and information services to dairy producers. Koepon and CRI also have other businesses centered around services and products for agricultural producers. Koepon is privately owned, and CRI is  cooperatively-owned by its farmer-members. CRI cooperative operations will be maintained as part of the merged entity. The new organization will be incorporated and headquartered in Wisconsin.

About CRI:

CRI (www.crinet.com), a member-owned holding cooperative headquartered in Shawano, Wisconsin, is the global leader in delivering excellence, innovation and value to members and customers. This mission proclaims CRI’s position in the agriculture industry and commitment to those linked to the land through plant and animal production. CRI serves members and customers through diverse business segments: AgSource provides agricultural testing and informational services that transform meaningful data into innovative solutions; GENEX is a trusted provider of innovative excellence in cattle genetics; and MOFA GLOBAL develops superior quality assisted reproductive technologies. Employees from all segments live the values of innovation, integrity, leadership, quality and stewardship.

About Koepon Holding:

With strong roots in dairy farming through Pon family ownership, Koepon Holding (www.koepon.com) today is a vibrant combination of enterprises focused on creating value for beef and dairy producers worldwide.  Through leading genetic improvement programs and reproductive services (Alta Genetics), insight rich dairy management software (Valley Ag Software), and premium calf nutrition products (SCCL), Koepon positively impacts the performance and results of beef and dairy producers.  The company is fueled by the passion and pride of a worldwide team of talented and energetic people who focus daily on creating value and delivering results for their client partners.

For more information contact Cees Hartmans, CEO Koepon at cees.hartmans@koepon.com or Keith Heikes, CEO CRI at kheikes@crinet.com

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Predict future production using average daily gain

Genomic testing is a popular way to rank heifers as part of a strategic breeding plan. But it’s not the only way. If you’re looking to not only maximize genetic progress, but also future profit, there might be alternative methods to decide which heifers to cull and which to keep.

ADG as a female selection tool?

References to average daily gain (ADG) typically come from the beef industry and more recently, dairy nutritionists and researchers. Dairy-focused studies have proven that individual dairy farms can see the impact of ADG on future milk production potential. In fact, a study from Cornell University showed that for every one kilogram of pre-weaning ADG, calves produced 1,113 kilograms more milk during their first lactation1.

Weighing individual animals at set points early in life to determine their average daily gain can be an effective means to predict which animals will produce the most throughout their first and later lactations.

Take the example below. On this 2,850-cow Holstein farm in Wisconsin, weights are taken on each individual calf at birth and weaning, and calculated within their herd management software to figure out the ADG of each animal.

Table 1Number of cowsADGAvg. 1st Lactation 305-day ME milk
Group 1: Top 25% for highest ADG3322.1833105 lb
Group 2: Bottom 25% for lowest ADG3081.6731838 lb
Difference0.511267 lb

Here, we’ve broken down all first lactation animals into quartiles based on their initial average daily gain. The top animals for ADG gained nearly 2.2 pounds per day from birth to weaning, while the bottom 25% of animals for ADG gained 1.67 pounds per day during that time.

Fast forward two years to when these calves have entered the milking herd, and that difference in average daily gain equates to a real and noticeable 1267 pound per animal difference in first lactation 305-day ME milk production. This is on par with the results from 2012 Cornell University study mentioned above.

 

Genetics still matter

If we take this analysis one step further, we can see that genetics are able to express themselves to a fuller advantage in healthier calves that grow more each day.

When we split the groups from the same analysis shown above in Table 1 to do two separate genetic assessments we can see how animals in each group perform in relation to their genetic predictions. This shows us whether ADG affects whether an animal can produce to their genetic potential.

Table 2 takes only the first lactation cows that were among the top 25% of heifers for highest birth to weaning ADG. Within this high ADG group of animals, we compare 305ME milk production based on parent average for PTA Milk within that group.

Table 2: Highest ADG animalsNumber of cowsADGParent Average PTA MilkAvg. 1st Lact 305ME Milk
Top 50%: Highest Parent Avg PTAM1662.1958634503 lb
Bottom 50%: Lowest Parent Avg PTAM1662.1710531725 lb
Difference4812778

Here, it shows that among only the calves with the highest average daily gain, those animals with the higher parent average for PTA Milk calved in to produce nearly 2800 pounds more milk than the animals with a lower parent average for PTA Milk.

Table 3 looks at this the same way, but only splits out just the first lactation cows that were in the bottom 25% for lowest birth to weaning ADG. When we compare milk production within that isolated low ADG group, we see that a higher parent average for PTAM equated to just over 1800 additional pounds of milk in the first lactation compared to the animals with the lowest parent averages for PTAM.

Table 3: Lowest ADG animalsNumber of cowsADGParent Average PTA MilkAvg. 1st Lact 305ME Milk
Top 50%: Highest Parent Avg PTAM1521.6856932768 lb
Bottom 50%: Lowest Parent Avg PTAM1521.675530958 lb
Difference5141810

Within both groups of animals a higher parent average for PTAM meant even more milk than predicted by genetics. However, when you compare the difference in 1st lactation 305MEs you can see that the high ADG group outpaces the low ADG group by nearly an additional 1000 pounds of milk in the first lactation.

This means that when calves are given the best nutrition and care, and achieve higher average daily gains, their genetics are better able to express themselves beyond what’s even predicted.

Strategic management decisions

With this proof in mind, if your farm’s situation dictates culling extra heifers, it’s best to do that in a strategic way. While genomic testing certainly has its merits for this purpose, the power of monitoring and measuring ADGs can serve as an effective alternative.

If the animals that perform well early in life go on to perform better than herdmates later in life, it’s an easy decision to keep the fastest growing animals in your herd. If you cull those calves that perform at a sub-par level from the start, you can avoid the feed costs for animals that will produce less than herdmates in the future, and avoid housing for animals that you may not have room for on your farm.

Knowing that those healthy calves will put extra pounds in the tank down the road also enforces the power of proper and progressive calf nutrition and a sharp focus on overall calf health. Even when times are tight, the future of your milking herd should not be put on the back burner.

 

Points to ponder

  • When implementing a strategic plan to cull heifers, consider weighing each individual calf at various milestones in her life to determine average daily gains. A ranking based on ADG to sort which heifers to keep and which to cull can have a big impact on overall future costs of production.

  • Don’t let the genetics you select go to waste. An animal’s genetics are expressed best when she receives the best nutrition and care from day one. The amount each calf gains per day, even in those first few months, will make a major impact on future production potential.

 

References:

Soberon F, Raffrenato E, Everett RW and Van Amburgh ME. 2012. Preweaning milk replacer intake and effects on long-term productivity of dairy calves. J Dairy Sci. 2012 Feb;95(2):783-93. doi: 10.3168/jds.2011-4391.
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Genetics and A2 milk: what you need to know

As consumers continuously look for new ways to eat healthy, A2 milk is a trend that emerges on their radar. A2 milk has been a common brand in Australia and New Zealand for several years. It only made its entry to the US marketplace in 2015.

It’s a new concept for many people, so before you join in on the A2 hype, here are a few answers to questions you may have.

What is A2 milk?

A2 milk is produced only from cows having two copies of the A2 gene for beta casein.

To explain further, cows’ milk is about 87 percent water. The remaining 13 percent is a combination of lactose, fat, protein, and minerals that make up the solids in milk.

If we focus on the protein within milk, the major component of that protein is called casein. About 30% of the casein within milk is called beta casein. The two most common variants of the beta casein gene are A1 and A2, so any given bovine will be either A1A1, A1A2 or A2A2 for beta casein.

In the United States nearly 100% of the milk contains a combination of both A1 and A2 beta casein.

What is the benefit of A2 milk?

Researchers believe that A2 is the more natural variant of beta casein, and A1 was the result of a natural genetic mutation that occurred when cattle were first domesticated. With that in mind, studies have been done to see if people digest or react to true A2 milk differently than regular milk.

Some of those studies have found that people drinking milk exclusively from cows producing A2 milk were less susceptible to bloating and indigestion – leading some to conclude that A2 milk is a healthier option than regular milk. The exact science behind the difference in A1 versus A2 milk is complicated, but research has shown that digestive enzymes interact with A1 and A2 beta-casein proteins in different ways. Because of that, A1 and A2 milk are processed differently within the body.

Can you breed for A2 milk?

Yes, in fact the only way to have cows that produce A2 milk is to breed for it.

True A2 milk can only be produced from cattle possessing two copies of the A2 gene in their DNA. Each animal receives one copy of the gene from its sire and one copy from its dam. So for a chance to get an animal with the A2A2 makeup, you must breed a bull with at least one copy of the A2 allele to a cow with at least one copy of the A2 allele.

To ensure with 100% certainty that a female will produce A2 milk once she freshens, she must be the result of mating a cow with two copies of the A2 gene to a sire that also has two copies of the A2 gene.

Does A2 milk only come from colored breeds of dairy cattle?

Traditionally, colored breeds of dairy cattle, such as Jerseys and Guernseys have been the poster children for the A2 gene. Those two breeds still have a higher proportion of A2A2 animals. However, some of the popular Holstein sires of recent years have increased the prevalence of A2A2 sires in the black and white breed as well.

You may be surprised that about 40% of the Holstein sires in active AI lineups, including numerous household names, have two copies of the A2 gene. In addition, over 80% of Holstein sires have at least one copy of the A2 gene.

Is A2 milk the answer for people with lactose intolerance?

A2 milk contains the same amount of lactose as non-A2 milk. So in clinically-diagnosed cases of lactose intolerance, A2 milk will not provide the benefits that lactose-free milk would offer.

Since most cases of lactose intolerance are self-diagnosed, some doctors believe the cause of indigestion in those cases is actually linked to an A1 aversion rather than lactose intolerance. In those cases, drinking A2 milk may help prevent the side-effects otherwise experienced from drinking regular milk.

Should you select for A2 in your breeding program?

With this new information at hand, it may seem compelling to produce only true A2 milk. Many A2A2 sires are available, but you still have an opportunity cost by selecting only A2A2 sires.

When A2A2 is a limiting factor in your genetic selection, you’ll eliminate about half of all bulls available. That means you will likely miss out on pounds of milk, extra health and improved fertility traits.

Regardless of your selection decision around A2 sires, make sure it aligns with the customized genetic plan you put in place on your farm so you can maximize profitability and genetic progress in the direction of your goals.

 

Click HERE to view a list of Alta’s current A2A2 sires.

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Understand the new TPI changes

With August 2017 proofs Holstein Association USA (HA USA) will make updates to TPI, Udder Composite (UDC) and Foot & Leg Composite (FLC). The following information will help you understand these changes and how they may affect sire ranks.

As with any index changes, sires will re-rank. We can attribute most of the re-ranking to the fact that stature is being added to the calculations for UDC and FLC.

Industry standard index changes remind us how important it is to set your own customized genetic plan. While we review the changes being made to Udder Composite and TPI for the upcoming proof round, keep your own genetic plan in mind to ensure it continues to match your farm’s current goals and future plans.

Udder Composite changes

The biggest change that will take place within UDC is that stature is now incorporated with a negative emphasis to promote a more moderate sized frame on Holstein cows of the future. While all individual trait weights within UDC will adjust slightly, stature will now have a relative weight of 17% of UDC. This change comes mostly from the reduced emphasis on udder depth.

A comparison between the previous and new versions of UDC is shown in Table 1 below, with major changes in bold.

TABLE 1Previous percent weight within UDCAugust 2017 percent weight within UDC% Change
Fore udder16%13%-3%
Rear udder height16%19%3%
Rear udder width12%16%4%
Udder cleft9%7%-2%
Udder depth35%17%-18%
Front teat placement5%3%-2%
Rear teat placement (now called Rear teat optimum)7%4%-3%
Teat length (now called Teat length optimum)-4%4%
Stature--17%17%

The other change taking place with udder traits is that both rear teat placement and teat length will now be two-way traits, and be called rear teat optimum and teat length optimum, respectively.

The rear teat length and placement of the Holstein breed has evolved to a shorter and closer average. By adjusting to an intermediate optimum, rather than a close and short ideal, is intended to help get the breed back to a more desirable norm.

The new Foot & Leg Composite

As with UDC, the main difference in the new FLC comes from the addition of stature to the index. Table 2 shows that stature is added mostly from the reduced weight now placed on foot angle and rear leg side view.

TABLE 2Previous percent weight within FLCAugust 2017 percent weight within FLC% Change
Foot angle24%8%-17%
Rear legs rear view19%18%-1%
Foot and leg score50%58%8%
Stature-17%17%
Rear leg side view8%--8%

TPI updates

In addition to the UDC and FLC updates, the TPI formula will also be revamped. While the weights within the production, health and conformation categories remain the same, the individual trait weights within the production and health buckets will change.

The biggest change to the new TPI formula is found within the production category as a new protein to fat ratio. You can see all changes in Table 3 below.

TABLE 3Previous weight within TPIAugust 2017 weight within TPI
Protein2721
Fat1617
Feed Efficiency38
PRODUCTION TOTAL46%46%
Fertility Index1313
Productive Life74
Livability-3
Somatic Cell Score-5-5
Daughter Calving Ease22
Daughter Stillbirth11
HEALTH TOTAL28%28%
Udder Composite1111
PTA Type88
Foot & Leg Composite66
Dairy Form-1-1
CONFORMATION TOTAL26%26%

HA USA reweighted protein, fat and feed efficiency, and therefore adjusted the fat to protein ratio. Starting in August, there will be 6% less emphasis directly on protein, 5% emphasis added to feed efficiency and 1% more emphasis on pounds of fat.

For your reference, feed efficiency is calculated as follows. Please note that Body Weight Composite within this formula is the new calculation to replace Body Size Composite.

Feed Efficiency = (-0.0187 x Milk) + (1.28 x Fat) + (1.95 x Protein) – (12.4 x Body Weight Composite)

In addition to the adjustment on the production bucket, HA USA will now incorporate livability as part of the TPI formula. The 3% weight on livability will come directly from that same reduction in emphasis on productive life.

What do these changes mean?

The new addition of stature to Udder Composite and Foot & Leg Composite, along with the TPI updates, are in place with an overarching goal to aid producers in creating more moderate sized, efficient and profitable cows.

Industry standard indexes can change at any point. These changes reinforce the importance of setting your own customized genetic plan. Work with your trusted Alta advisor to review the weights you place on each individual production, health and conformation trait. We want to help you ensure your plan always aligns with your farms current situation and future goals.

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Gestation length added as new trait

The Council on Dairy Cattle Breeding (CDCB) is adding gestation length as a new trait to be released with August 2017 proofs.

Gestation length can be most useful as a genetic tool for herds that implement seasonal calving. These herds will have the option of choosing service sires with shorter gestations for cows that didn’t settle to the first breeding.

Gestation length can also be a useful predictor of a cow’s calving date, which allows for more efficient management of close-up and maternity pen moves.

As of now, gestation length will not be included in TPI or the Net Merit index.

As new traits like gestation length are released, it’s important to keep your farm’s current situation and future goals front of mind. Work with your trusted Alta advisor to review your customized genetic plan. Only incorporate new traits like gestation length into your plan when they aid your farm’s goals and bottom line.

Learn more information about the research, heritability, and correlations behind gestation length, as presented by Wright, Van Raden and Hutchison at the 2017 ADSA meetings.

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How do genomic proofs hold up?

We’re well into the genomic era. If you’re like most producers, you’re now comfortable incorporating genomic-proven bulls as part of your balanced breeding program.

Yet, you might still have questions about the difference you can expect between a bull’s first genomic proof and his daughter proof. To answer your questions, we’ve done an in-depth proof analysis of all industry bulls. Our goal was to find out how genomic proofs hold up. Do they become more or less accurate with time?

What did we learn?

Graph 1 shows the average change in TPI from initial genomic proofs to April 2017 daughter proofs. The TPI change from genomic to daughter proof is the amount of space that separates the blue and orange lines.

So, even though genomic numbers are still slightly inflated, the gap between genomic and daughter proofs changes less with each passing proof round.

Want more details?

Let’s look at the facts and figures in a different light. We’ll focus in on all 1,078 industry bulls released in 2013. We use this group because all bulls released in 2013 should now have a daughter proof for production, health and conformation traits.

The bell-shaped curve of Graph 3 shows the mean and standard deviation change in TPI on the 1,078 industry bulls released as genomic-proven sires in 2013.

As you can see, on average, these bulls changed less than 100 points from their initial release in 2013 to their daughter proof in April 2017. One hundred of these bulls have a daughter-proven TPI within just twenty points of their original genomic TPI. Only about 40 bulls from the entire group of 1,078 lost more than 300 TPI points – that’s less than 4%.

We see the same trend for NM$. Graph 4 shows the average NM$ change and standard deviation of the same 1,078 industry bulls released in 2013. These sires changed about -103 NM$ from their initial genomic proof in 2013 to their daughter proof in April 2017.

Ninety-five bulls held steady within the small 20 point swing from genomic to daughter-proven NM$. Less than 20 bulls changed more than 300 NM$.

Click the thumbnails below to find the average change in individual traits from a bull’s genomic release in 2013 to his daughter proof in 2017.
April 2017 Top Dtr-proven bullTPI
11HO11434 | AltaCR2531
11HO11379 | AltaRABO2476
11HO11348 | AltaBGOOD2474
11HO11143 | AltaEMBASSY2462
11HO11380 | AltaROBLE2461
11HO11283 | AltaMERCI2450
11HO11272 | AltaGILCREST2444
11HO11446 | AltaPITA2430
11HO11202 | AltaOAK2425
11HO11405 | AltaKADO2419
AVERAGE2457
April 2017 Top Genomic-proven bullsTPI
11HO11630 | AltaMORENO2742
11HO11778 | AltaROBSON2733
11HO11725 | AltaAMULET2712
11HO11724 | AltaSTEEL2684
11HO11826 | AltaLOBELLO2681
11HO11758 | AltaNIXER2676
11HO11672 | AltaKERMIT2667
11HO11736 | AltaRECOIL2656
11HO11734 | AltaPOLISH2651
11HO11720 | AltaFLYWHEEL2643
AVERAGE2685

Currently, our top daughter-proven sires average a solid 2457 TPI. Yet, the top, available genomic-proven group provides a 228 point TPI advantage!

Some bulls gain points and some bulls lose points. But your odds are nearly zero that every single bull atop the genomic-proven list would drop to rank lower than the current list of daughter-proven sires.

As you make your genetic selection decisions, keep in mind:

  1. Genomic proofs are slightly inflated. Yet, with each proof round, we see less change from genomic to daughter-proven TPI and NM$ because of model adjustments made along the way.
  2. The average TPI and NM$ change from genomic proof to daughter proof for bulls released in 2013 is about -100. Despite that change, you still make much faster genetic progress using a group of genomic-proven sires than a group of daughter-proven sires.
  3. Make sure the genetic progress you make is in the direction of your goals. Select a group of genomic-proven sires based on your customized genetic plan. Emphasize only on the production, health or conformation traits that matter most to you to boost your farm’s future profitability.

Proof analysis and graphs done by Ashley Mikshowsky, PEAK Geneticist

Click to download a printable PDF of this article.

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Proof terminology explained

The letters, numbers and acronyms on a proof sheet can be complicated. Here, we break down the meaning and explanation of the proof indexes, traits and terminology.
Selection indexes

Genetic selection indexes are set by national organizations or breed associations. Genetic indexes help dairy producers focus on a total approach to genetic improvement, rather than limiting progress by single trait selection.

However, each farm is unique, with different situations and future plans. With that in mind, it’s important to understand what traits are included in each industry standard index. When you know what’s included, you can more effectively evaluate if the index truly matches your farm’s goals.

TPI = Total Performance Index
TPI is calculated by the Holstein Association USA (HA-USA) and includes the following trait weightings.

Image to show the weights on production, health and type for the TPI Index

PRODUCTION TRAITS = 46%

21% Pounds of protein
17% Pounds of fat
8% Feed efficiency

HEALTH TRAITS = 28%

13% Fertility index
-5% Somatic cell score
4% Productive life
3% Cow livability
2% Daughter calving ease
1% Daughter stillbirth

TYPE TRAITS = 26%

11% Udder composite
8% PTA type
6% Foot & leg composite
-1% Dairy form

NM$ = Net Merit Dollars

NM$ is a genetic index value calculated by the Council on Dairy Cattle Breeding (CDCB). It describes the expected lifetime profit per cow as compared to the base of the population born in 2010. Trait weightings are generally updated approximately every five years and include emphasis on the following traits. The current trait breakdown is in place as of April 2017. Please note that trait weights are rounded to the nearest percentage.

Image to show trait weights for production, health and conformation within Net Merit $.

PRODUCTION TRAITS = 43%

24% Pounds of fat
18% Pounds of protein
-1% Pounds of milk

HEALTH TRAITS = 41%

13% Productive life
7% Cow livability
7% Daughter pregnancy rate
-6% Somatic cell score
5% Calving ability
2% Cow conception rate
1% Heifer conception rate

TYPE TRAITS = 16%

7% Udder composite
6% Body weight composite
3% Foot & leg composite

CM$ = Cheese Merit Dollars

CM$ is an index calculated to account for milk sold to be made into cheese or other dairy products. The current CM$ index was adjusted in April 2017 and the following trait weights are considered. Please take note that trait weights shown have been rounded to the nearest percentage.

Image showing the trait breakdowns for production, health and type within the Cheese Merit dollars formula

PRODUCTION = 50%

22% Pounds of protein
20% Pounds of fat
-8% Pounds of milk

HEALTH = 37%

12% Productive life
-7% Somatic cell score
6% Cow livability
6% Daughter pregnancy rate
4% Calving ability
1% Cow conception rate
1% Heifer conception rate

TYPE TRAITS = 13%

6% Udder
5% Body weight composite
2% Foot & leg

GENERAL PROOF TERMS

CDCB: Council on Dairy Cattle Breeding
Calculates production and health trait information for all breeds

MACE: Multiple-trait across country evaluation
Denotes that a bull’s proof evaluation includes daughter information from multiple countries

PTA: Predicted transmitting ability
The estimate of genetic superiority or inferiority for a given trait that an animal is predicted to transmit to its offspring. This value is based on the animal’s own records and the records of known relatives.

EFI: Effective future inbreeding
An estimate, based on pedigree, of the level of inbreeding that the progeny of a given animal will contribute in the population if mated at random

GFI: Genomic future inbreeding
Similar to EFI, an animal’s GFI als predicts the level of inbreeding he/she will contribute in the population if mated at random. Yet, GFI provides a more accurate prediction. It takes into account genomic test results and the actual genes an animal has.

aAa: an independent method for making mating decisions

DMS: a separate, independent method for making mating decisions

 

PRODUCTION TRAIT TERMS

PTAM: Predicted transmitting ability for milk

PTAP: Predicted transmitting ability for protein

PTAF: Predicted transmitting ability for fat

PRel: the percent reliability of a sire’s production proof

 

HEALTH & FERTILITY TRAIT TERMS

PL: Productive Life
Measured as the total number of additional or fewer productive months that you can expect from a bull’s daughters over their lifetime. Cows receive credit for each month of lactation, with more credit given to the first months around peak production, and less credit given for months further out in lactation. More credit is also given for older cows than for younger animals.  

LIV: Cow livability
Measure of a cow’s ability to remain alive while in the milking herd.

SCS: Somatic cell score
The log score of somatic cells per milliliter.

DPR: Daughter pregnancy rate
Daughter Pregnancy Rate is defined as the percentage of non-pregnant cows that become pregnant during each 21-day period. A DPR of ‘1.0’ implies that daughters from this bull are 1% more likely to become pregnant during that estrus cycle than a bull with an evaluation of zero. Each increase of 1% in PTA DPR equals a decrease of 4 days in PTA days open.

HCR: Heifer conception rate
A virgin heifer’s ability to conceive – defined as the percentage of inseminated heifers that become pregnant at each service. An HCR of 1.0 implies that daughters of this bull are 1% more likely to become pregnant as a heifer than daughters of a bull with an evaluation of 0.0

CCR: Cow conception rate
A lactating cow’s ability to conceive – defined as the percentage of inseminated cows that become pregnant at each service. A bull’s CCR of 1.0 implies that daughters of this bull are 1% more likely to become pregnant during that lactation than daughters of a bull with an evaluation of 0.0.

HRel: the reliability percentage for a sire’s health traits

 

HEALTH & CALVING TRAIT TERMS

SCE: Sire calving ease
The percentage of bull’s calves born that are considered difficult in first lactation animals. Difficult births include those coded as a score of 3, 4 or 5 on a scale of 1-5.

DCE: Daughter calving ease
The percentage of a bull’s daughters who have difficult births during their first calving. Difficult calvings are those coded as a 3, 4 or 5 on a scale of 1-5.

SSB: Sire stillbirth
The percentage of a bull’s offspring that are born dead to first lactation animals.

DSB: Daughter stillbirth
The percentage of a bull’s daughters who give birth to a dead calf in their first lactation.

 

TYPE / CONFORMATION TRAIT TERMS

PTAT, UDC and FLC are all calculated by the Holstein Association USA.

PTAT: Predicted transmitting for type – referring to the total conformation of an animal

UDC: Udder composite index; comprised of the following linear trait weights:
19% Rear udder height
17% Udder depth
-17% Stature
6% Rear udder width
13% Fore udder attachment
7% Udder Cleft
4% Rear teat optimum
4% Teat length optimum
3% Front teat placement

FLC: Foot and leg composite index; comprised of the following trait weights:
58% foot and leg classification score
18% rear legs rear view
-17% stature
8% foot angle

TRel = the percent reliability for a sire’s conformation/type proof

 

GENETIC CODES

POLLED
PO: observed polled
PC: genomic tested as heterozygous polled; means 50% of offspring are expected to be observed as polled
PP: genomic tested as homozygous polled; means that 100% of offspring are expected to be observed as polled

COAT COLOR
RC: carries the recessive gene for red coat color
DR: carries a dominant gene for red coat color

RECESSIVES & HAPLOTYPES

These codes, or symbols representing the code, will only show up on a proof sheet if an animal is a carrier or test positive for one of the following. The acronyms denoting that an animal is tested free of a recessive will only show up on its pedigree.

BY: Brachyspina
TY: Tested free of brachyspina

BL: BLADS, or Bovine leukocyte adhesion deficiency
TL: Tested free of BLADS

CV: CVM or Complex vertebral malformation
TV: Tested free of CVM

DP: DUMPS, or Deficiency of the uridine monophosphate synthase
TD: Tested free of DUMPS

MF: Mulefoot
TM: Tested free of mulefoot

HH1, HH2, HH3, HH4, HH5: Holstein haplotypes that negatively affect fertility
HCD: Holstein haplotype for cholesterol deficiency

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Bull Search for Android & iOS

Android & iOS Bull Search app

The Alta Bull Search app delivers rankings for the sires that best fit your genetic plan, along with individual proofs on Alta sires and all active industry Holstein bulls with a TPI of at least 1700. If you’re interested in a specific bull, type his bull code, full name, or short name into the search box. You can access more than 15,000 Holstein bulls without the constant need for an internet connection!

Bull Search App features:

  • Available online and offline
  • Index changes based on trait selection in search results
  • Search by bull code, sire name or by preset breeding goals
  • Included Alta program logos for ease of use
  • Additional bull images ( Available Online Only )
  • Tap and hold feature for information pop-ups in breeding goal selection
  • Features Holstein bulls
  • Proof data updated quarterly

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Alta Advantage Showcase Tour 2017 – by the numbers

Guests from around the world joined together to share management strategies and insight during the 18th Alta Advantage Showcase Tour held in Michigan June 21-23, 2017.

On-farm stations were set up to provide insight on all areas of dairy herd management. Some of the topics covered included:

  • Reproduction
  • milk quality and parlor management
  • transition cow management
  • feed and nutrition
  • colostrum management and calf raising
  • heifer raising
  • labor organization
  • genetic planning
  • dairy technology
  • Performance Pens featuring some of the newest Alta sires to have milking daughters
  • and more!
Here’s a look at the 2017 Alta Advantage Showcase Tour, by the numbers:
360guests
26countries represented
18Alta Advantage Showcase Tours now complete
35on-farm stations that guests experienced throughout the tour
6charter buses required to transport guests
19,000cows milked among all pre-tour and Showcase host farms
9outstanding host dairies that graciously opened their farm for our guests to visit
Pre-tour host: Rich-Ro South Dairy | St. Johns, MI
Pre-tour host: Berlyn Acres | Fowler, MI
Walnutdale Farms | Wayland, MI
Prairie View Dairy | Delton, MI
Schaendorf Farms | Allegan, MI
Tubergen Dairy | Ionia, MI
Simon Farms | Westphalia, MI
Steenblik Dairy | Pewamo, MI
Double Eagle Dairy | Middleton, MI

These numbers sum up to ONE tremendous tour!

Guests enjoyed the friendly camaraderie and the ability to learn from both our host farm owners and others on the tour. These experiences left everyone with a lasting impression of Alta’s progressive approach to create value, build trust and deliver results to clients around the world.

 

Click HERE to view the collection of photos and videos from the tour!

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Two questions that will transform the way you breed your herd

There’s no other dairy farm in the world exactly like yours. So it’s important to ask yourself a couple questions to determine your ideal breeding goals.

You could use one of the US industry standard indexes to select the genetics for your herd. Their split weights on production, health and conformation will certainly help you make genetic gains in your herd. But will that progress actually match your farm’s current situation and future plans?

As a reminder, the following charts show the weights for the two most common US genetic indexes.

TPI:
Image to show the weights on production, health and type for the TPI Index
NM:
Image to show trait weights for production, health and conformation within Net Merit $.

Since your farm is unique, your best option is to create your own customized genetic plan to get the right genetics to match your goals.

Ask yourself these two important questions to decide which traits to emphasize in your genetic plan.

1. How do you get paid for your milk?

The majority of dairy producers make their main profit from the sale of milk. How that milk is priced varies greatly from one part of the country to another. Most milk produced in Florida is sold for fluid consumption, while much of Wisconsin’s milk goes into making cheese. The milk from some farms goes strictly into butter. Others’ is made into ice cream. Many cooperatives also pay premiums for low somatic cell counts.

Regardless where you ship your milk, the simple way to maximize your milk check is to select the right genetics to match your situation. To explain this, we focus in on the production traits of your genetic plan, which include milk, fat and protein.

If your farm’s milk is made into cheese, you’re likely paid on components, rather than total fluid volume. In that case, selection emphasis on protein will garner your greatest return on genetic investment.

If you farm in a fluid milk market, strict selection for NM$ could actually hinder your progress since NM$ includes a negative weighting on total pounds of milk.

Management practices play the largest role in the performance you see, but the right genetic choices will aid your future profit potential. For example, it takes top-level management practices to achieve ideal somatic cell counts. Yet, if your milk company offers milk quality premiums, genetic selection for low Somatic Cell Score is a logical choice to boost the benefits of your management even further.

Don’t leave dollars on the table. Within your genetic plan, make sure you emphasize the production traits to match how you get paid for your milk.

2. Why do your cows leave the herd?

Regardless if you are in expansion mode or maintaining steady numbers, some animals will leave your herd for one reason or another.

If you’re gradually growing to prepare for a future expansion project, you’ll benefit from heavier genetic selection emphasis on traits like Productive Life. This will keep your cattle numbers on the rise by creating healthier, longer-living cows.

Selection for CONCEPT PLUS high sire fertility will help you create more pregnancies now. Selection for fertility traits like Daughter Pregnancy Rate will help you create a next generation of more fertile females. If you focus on both male and female fertility you will end up with the additional replacements you’ll need.

On the flip side, if your farm is at max capacity with more replacements than you can accommodate, different traits will make a more profitable impact. If your farm sells extra springing heifers or fresh two-year-olds for dairy purposes, you know that buyers choose the stronger, well-grown animals with ideal feet and legs and favorable udders. In that case, a heavier selection emphasis on Udder Composite and Foot & Leg Composite can provide profitable returns on your genetic investment.

However, when your herd size is steady and you don’t sell extra heifers for dairy purposes, it’s important to question your selection for conformation traits. How many cows have you culled in the past year for poor udders or feet and legs?

If the answer is none, you could be limiting your future profitability.

AI companies already provide you with a high level of selection intensity for conformation. Their sire criteria often uses those industry standard indexes with 26% or 16% emphasis on conformation.

If you emphasize conformation traits, but you don’t cull any animals for poor udders or feet and legs, you are missing out on future profits. When you put your weight on conformation, your sacrifice extra selection for production, improved health and additional pregnancies.

Consider your genetic plan

There’s no other dairy in the world identical to yours.

Keep that in mind as you choose the genetics to create your next generation. While industry standard selection indexes can improve your genetics, they don’t necessarily align with your farm’s situation and goals.

Think about how you get paid for milk and the main reasons that cows leave your herd. When you customize your genetic plan to fit your farm’s needs, you will maximize your future milk checks and minimize your involuntary culls.

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