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The NEW Alta Bull Search App

Download the all-new app today!

With more traits, more breeds, more features, more options, and more sorting abilities, the all-new Alta Bull Search app is a more streamlined approach to bull searching.

What can you expect?

  • Search and sort dairy bulls industry wide from your mobile device
    • Sort by name, NAAB code, or registration number
  • Find detailed genetic evaluations for Holsteins, Jerseys, Brown Swiss and Mixed Breed sires on the USA proof base
  • Explore countless options for sorting and filtering bulls
    • By a main genetic index
    • By individual traits, including A2A2, coat color, polled, and more
    • By conventional vs sexed semen
    • By genomic vs daughter proven sire
    • By company
  • Sort bulls based on different genetic indexes:
    • Production & Health | 60-40-0
    • Balance | 40-40-20
    • Balance, without Conformation | 50-50-0
    • High Production | 70-30-0
    • TPI
    • NM$
  • Add active bulls to your favorites list(s)
  • Export a group of bulls into Excel
    • Save the export file to your device and send via email or text message
  • Get a notification when new genetic data is available for download
  • Choose from nine language options

Download HERE through the Apple App Store
Download HERE through Google Play

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What you need to know about the April 2020 US Genetic Base Change

A genetic base change is an adjustment of predicted transmitting abilities (PTAs) for all animals in a given breed. This change resets the average PTAs for each trait within a new reference population back to zero.

With the April 2020 US genetic base change in mind, here are five key points to remember.

1. THE BASE CHANGE HAPPENS EVERY 5 YEARS.

It happens this frequently to ensure that the values for traits and indexes don’t grow to unrealistically high levels. The last base change took place in December 2014, and the next one will be in 2025.

2. THIS BASE CHANGE ACCOUNTS FOR THE AMOUNT OF GENETIC PROGRESS WE’VE MADE SINCE THE LAST BASE CHANGE.

Dairy cattle genetics are continually improving, and the base change is the way to quantify the actual amount of progress that we’ve made for each trait within each breed.

For example, the base change for PTA Milk in the Holstein breed is 492. That means that the average genetic level for pounds of milk in the Holstein breed has increased by 492 pounds over the past five years. To account for this progress, the PTA Milk value for all Holsteins will automatically decrease by 492 pounds with April 2020 proofs.

3. THE NEW REFERENCE POPULATION WAS BORN IN 2015.

The base change means resetting the average PTAs for the reference population to zero. The previous reference population was made up of the sire-identified animals born in 2010. Since the new reference population is animals born in 2015, that means this current base change will now set the average PTA of cows born in 2015 back to zero.

4. DOWNWARD ADJUSTMENTS ARE ACTUALLY A GOOD THING!

In general, a downward adjustment for a trait is the amount of genetic progress we’ve made for that trait. So a larger downward adjustment is actually a good thing – it just means we’ve made that much more genetic progress for that given trait!

Because of the downward adjustments, we’ll need to get used to new, generally lower reference levels for the traits and indexes that we affect our genetic selection decisions.

5. THE BASE CHANGE DOES NOT AFFECT THE RELATIVE RANK OF ANIMALS.

Even though the base change will cause PTA values for bulls and cows to appear lower for most traits, it is the same adjustment for all animals. That means individual rankings will not be impacted.

WHAT ARE THE ACTUAL CHANGES?

Wondering what the actual changes will be? Table 1 below lays it all out.

Because a positive value is the amount of progress we’ve made, it also means the PTA for that trait will decrease by this amount. Conversely, negative values mean the PTA for that trait will actually increase by that amount.

To clearly assess the overall picture of genetic progress, trait changes shown in black show positive progress. Traits shown in red have made negative progress over the past five years.

*Please note that the CDCB will recalculate these values with April 2020 proofs using more complete and current data. So there may be slight changes between now and then.*

Table 1. PTA difference of cows born in 2015 compared to those born in 2010. PTAs will decrease by these amounts in April 2020.

TRAITUNITSHOLSTEINJERSEYBROWN SWISS
MilkPounds492524214
FatPounds24258
ProteinPounds18208
Productive life | PLMonths1.861.540.24
Daughter pregnancy rate | DPR%0.24-0.99-0.62
Somatic cell score | SCSLog base 2 units-0.0800
Heifer conception rate | HCR%0.50.44-0.24
Cow conception rate |CCR%0.38-0.9-0.74
Cow livability | LIV%0.740.08-0.28
Displaced abomasum | DA%0.21--
Ketosis | KET%0.2--
Mastitis | MAST%0.6--
Metritis | MET%0.34--
Milk fever | MFEV%-0.06--
Retained Placenta | RP%0.05--
Early first calving | EFCDays1.51.40.5
Gestation length | GLDays-0.350.3-0.03
Sire Calving Ease | SCE%-0.4--0.3
Daughter Calving Ease | DCE%-1.9--0.6
Sire Stillbirth | SSB%-0.3--
Daughter Stillbirth | DSB%-1.6--
Final Score (PTAT)Points0.760.70.4
Udder composite | UDC / JUI0.85--
Feet and leg composite | FLC0.49--
Lifetime Net Merit | NM$Dollars23119160
Lifetime Cheese Merit | CM$Dollars23919663
Lifetime Fluid Merit | FM$Dollars21917956
Lifetime Grazing Merit | GM$Dollars20714238
StaturePoints0.470.50.6
StrengthPoints0.200.2
Dairy formPoints0.380.40.3
Foot anglePoints0.50.10.1
Feet and leg score0.54
Rear legs - side viewPoints-0.0200.1
Rear legs - rear view0.49
Body depth0.14
Rump anglePoints-0.020.40
Rump widthPoints0.360.10.1
Fore udder attachmentPoints1.010.70.3
Rear udder heightPoints1.20.60.3
Rear udder widthPoints1.160.20.3
Udder depthPoints0.840.90.2
Udder cleftPoints0.540.10.1
Front teat placementPoints0.520.30.3
Rear teat placement0.49
Teat lengthPoints-0.270-0.2
Body weight composite0.15

HOW DOES THIS COMPARE?

Are you curious how the amount of progress over the past five years compares to the progress we made before that? The tables below lay it all out for the Holstein and Jersey breeds.

HOLSTEIN BASE CHANGE COMPARISONMilkFatProtPLDPRNM$
2020 CHANGES (progress made from 2015-2020)49224181.9 0.24231
2015 CHANGES (progress made from 2010-2015)38217121.00.2184
JERSEY BASE CHANGE COMPARISONMilkFatProtPLDPRSCSNM$
2020 Changes (progress made from 2015-2020)52425201.54-0.990.00191
2015 Changes (progress made from 2010-2015)38219120.80.00.04124

You’ll see that for the production traits, both Holsteins and Jerseys made significantly more progress in the past five years, than in the five years preceding. That means, as an industry, we’re making huge strides. Have confidence that the bulls you use now will deliver profitable results through their offspring.

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The NM$ index has new weights

The CDCB health traits will be added to the Lifetime Net Merit (NM$) formula starting in August. They will be combined into a health trait sub-index called HTH$, which will not be published separately.

You can find the relative value (%) for the traits in HTH$ in Table 1. DA, MAST, and METR represent over 80% of the index, due mainly to the higher costs and heritabilities associated with those traits.

Table 1. HTH$ sub-index relative values

TRAITABBREVRELATIVE VALUE in HTH$
MastitisMAST32.9
MetritisMETR26.5
Displaced abomasumDA23.3
Retained placentaRETP10.3
KetosisKETO4.7
Milk feverMFEV2.3

HTH$ Correlations

The correlations between HTH$ and the other traits in the NM$ formula are in Table 2. HTH$ is moderately to highly correlated with the health traits that were already included in the formula (PL, DPR, SCS, HCR, CCR, and LIV).  The heritability of HTH$ is low (0.01) as are many of the health traits.

Table 2. Genetic correlations between HTH$ and other NM$ traits

TraitMilkFatProtPLDPRSCSHCRCCRLIVCA$UdderF&LBWC
HTH$0.030.080.040.560.42−0.440.180.360.550.33−0.010.02−0.26

The new NM$ Index

A comparison of the 2017 and 2018 NM$ formulas is in Table 3 below.  The addition of HTH$ to NM$ results in slightly less weight on some of the traits already in the formula. In addition to new health traits in the index, NM$ now puts slightly more emphasis on the yield traits. SCS emphasis decreases because indirect correlated health costs are now allocated directly to HTH$.

The Fat to Protein ratio shifts to favor fat more, as the price paid for Fat is increasing and the price paid for Protein is decreasing (see Table 4 below).

Emphasis on SCS decreases since MAST is now directly included through the HTH$ index. PL emphasis also decreases slightly because later lactations are less valuable now that replacement heifer prices are lower.

Table 3. Net Merit $ Relative Values

Trait2017 NM$2018 NM$
Milk-0.7-0.7
Fat23.726.8
Protein18.316.9
PL13.412.1
SCS-6.5-4.0
DPR6.76.7
HCR1.41.4
CCR1.61.6
CA$4.84.8
LIV7.47.3
HTH$-2.3
UDC7.47.4
FLC2.72.7
BWC-5.9-5.3

NM$ 2017 versus NM$ 2018

An illustration to compare the index weights on production, health and conformation of Net Merit $ 2017 versus Net Merit $ 2018

Table 4. Component prices used to calculate Net Merit

YearFat ($/lb)Protein ($/lb)F:P ratio
20172.611.871.4
20162.312.101.1
20152.302.241.0
20142.383.390.7

Genetic Progress

Table 5 shows the expected genetic progress per trait for the 2017 and 2018 NM$ formulas.

The new 2018 formula will result in more progress for Fat, Protein, and FLC, and less progress for PL, DPR, CA$, and HCR.

The correlation between the 2017 and 2018 NM$ indexes are very high. For current industry genomic Holstein bulls the correlation is 0.998, and for current active, proven Holstein bulls, the correlation is 0.999.

Of the current top 100 NM$ genomic bulls, 88 remain in the top 100 NM$ using the 2018 formula.

Of the current top 100 NM$ active, proven bulls, 95 remain in the top 100 with the new formula.

Table 5. Expected genetic progress from NM$

Trait2017 NM$ (PTA change per year)2018 NM$ (PTA change per year)
Milk104104
Fat5.55.9
Protein3.73.8
PL0.540.51
SCS-0.02-0.02
DPR0.180.16
CA$3.53.4
HCR0.210.20
CCR0.420.42
LIV0.380.38
HTH$0.90.9
BWC-0.08-0.08
UDC0.050.05
FLC0.020.03

Customize your genetic plan

Ever-changing industry indexes serve as a reminder that your own farm’s customized genetic plan is as important as ever. When you set your emphasis on the production, health, and conformation traits that matter to your own bottom line – and stick to the plan you set – you’ll continue to maximize the progress you make in the direction of your own farm’s goals – even when other indexes change.

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December 2017 specialty sire lists

No matter what genetic plan you’ve put in place on your farm, we have daughter-proven and genomic-proven bulls to meet your goals.

We have access to all you need in one place. You can find lists to download and print with any of Alta’s Holstein and Jersey specialty sires. Below, you’ll find A2A2, polled, outcross, robot-suited and kappa casein sires. There is also with DWP$ and WT$, milking speed, and registry status listings and info on our highest fertility beef bulls to be used for terminal dairy crosses.

Work with your trusted Alta advisor to customize your genetic plan using our Advanced Bull Search or Alta GPS.
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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.

TPI Formula

PRODUCTION TRAITS = 46%

46PRODUCTION TRAIT WEIGHTS
19Pounds of protein
19Pounds of fat
8Feed efficiency

HEALTH TRAITS = 29%

29HEALTH TRAIT WEIGHTS
13Fertility Index
5Productive Life
-4Somatic Cell Score
3Cow Livability
2CDCB Health Trait Index
1Daughter Calving Ease
1Daughter Stillbirth

CONFORMATION TRAITS = 25%

25CONFORMATION TRAIT WEIGHTS
11Udder Composite
8PTA Type
6Foot & Leg Composite

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 reference base population born in 2015. 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 August 2018. Please note that trait weights are rounded to the nearest percentage.

Net Merit$ breakdown

PRODUCTION TRAITS = 45%

45PRODUCTION TRAIT WEIGHTS
27Pounds of fat
17Pounds of protein
-1Pounds of milk

HEALTH TRAITS = 40%

40HEALTH TRAIT WEIGHTS
12Productive Life
7Cow Livability
7Daughter Pregnancy Rate
5Calving Ability
-4Somatic Cell Score
2Health Trait Index
2Cow Conception Rate
1Heifer Conception Rate

CONFORMATION TRAITS = 15%

15CONFORMATION TRAIT WEIGHTS
7Udder Composite
-6Body Weight Composite
3Foot & 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 August 2018 and the following trait weights are considered. Please take note that trait weights shown have been rounded to the nearest percentage.

Cheese Merit weights

PRODUCTION TRAITS = 52%

52PRODUCTION TRAIT WEIGHTS
21Pounds of protein
23Pounds of fat
-8Pounds of milk

HEALTH TRAITS = 35%

35HEALTH TRAIT WEIGHTS
11Productive Life
6Cow Livability
6Daughter Pregnancy Rate
4Calving Ability
-4Somatic Cell Score
2Health Trait Index
1Cow Conception Rate
1Heifer Conception Rate

CONFORMATION TRAITS = 13%

13CONFORMATION TRAIT WEIGHTS
6Udder Composite
-5Body Weight Composite
2Foot & Leg Composite

FM$ = Fluid Merit Dollars

FM$ is an index calculated by CDCB. It is best suited to dairies operating in a fluid milk market that are paid for total pounds of milk produced (as opposed to payment for components). The current FM$ index was adjusted in August 2018 and the following trait weights are considered.

PRODUCTION TRAITS = 46%

46PRODUCTION TRAIT WEIGHTS
27Pounds of fat
18Pounds of milk

HEALTH TRAITS = 38%

38HEALTH TRAIT WEIGHTS
12Productive Life
7Cow Livability
7Daughter Pregnancy Rate
5Calving Ability
-2Somatic Cell Score
2Health Trait Index
2Cow Conception Rate
1Heifer Conception Rate

CONFORMATION TRAITS = 16%

16CONFORMATION TRAIT WEIGHTS
8Udder Composite
-5Body Weight Composite
3Foot & Leg Composite

GM$ = Grazing Merit Dollars

GM$ is an index calculated by CDCB to most heavily weigh the traits that affect grazing herds preferring seasonal calving. The current GM$ index was adjusted in August 2018 and the following trait weights are considered.

PRODUCTION TRAITS = 38%

38PRODUCTION TRAIT WEIGHTS
23Pounds of fat
14Pounds of protein
1Pounds of milk

HEALTH TRAITS = 46%

46HEALTH TRAIT WEIGHTS
18Daughter Pregnancy Rate
7Productive Life
5Cow Livability
4.5Calving Ability
-3.5Somatic Cell Score
4Cow Conception Rate
2Heifer Conception Rate
2Health Trait Index

CONFORMATION TRAITS = 16%

16CONFORMATION TRAIT WEIGHTS
7Udder Composite
-6Body Weight Composite
3Foot & Leg Composite

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 TRAITS

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 TRAITS

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.

MAST:
expected resistance of an animal’s offspring to clinical mastitis

Daughters of a bull with a MAST value of +1.0 are expected to have 1% fewer cases of mastitis than the average herdmate.

METR:
expected resistance of an animal’s offspring to metritis

Daughters of a bull with a METR value of +1.0 are expected to have 1% fewer recorded cases of metritis than the average herdmate.

KET:
expected resistance of an animal’s offspring to ketosis

Daughters of a bull with a KET value of +1.0 are expected to have 1% fewer recorded cases of ketosis than the average herdmate.

DA:
expected resistance of an animal’s offspring to displaced abomasum

Daughters of a bull with a DA value of +1.0 are expected to have 1% fewer recorded cases of displaced abomasum than the average herdmate.

MFEV:
expected resistance of an animal’s offspring to milk fever (hypocalcemia)

Daughters of a bull with a MFEV value of +1.0 are expected to have 1% fewer recorded cases of milk fever than the average herdmate.

RP:
expected resistance of an animal’s offspring to retained placenta

Daughters of a bull with a RP value of +1.0 are expected to have 1% fewer recorded cases of retained placenta than the average herdmate.

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

 

CALVING TRAITS

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 TRAITS

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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The proof is in your numbers

Let us show you…

We can show you the proof that genetics are one of the cheapest investments you can make to improve the profitability and efficiency of your herd. Proof sheet numbers may seem unclear or unrealistic. So we break them down to see how they translate within your own herd.

When you use a herd management software program, we can create a genetic assessment of your herd to see if genetics really work on your farm.

Do your 2-year-olds give as many pounds of milk as their sires’ proofs predict? Do these cows become pregnant as quickly as their sires’ DPR numbers suggest? And do daughter stillbirth numbers prove to be accurate indicators of DOAs?

When we do a genetic assessment for your herd, it’s important to realize that we only take into account first-lactation animals in order to minimize environmental effects. Phenotype equals genetics plus environment. So when we eliminate – or at least minimize – environmental influences, the actual performance differences we see are due to genetics.

We want to show you how those proof numbers translate to more pounds of milk, more pregnancies and fewer stillborn calves. So here, we take one of our real DairyComp 305 analyses of a real 1,500-cow herd for answers.

The proof in genetics: PTA Milk (PTAM)

We start with PTAM, which tells us how many more pounds of milk a first-lactation animal will produce compared to herdmates on a 305-day ME basis. We set out to find if higher PTAM values on this farm actually convert to more pounds of milk in the tank.

In this example, we sort all first-lactation animals with a known Holstein sire ID, solely on their sires’ PTAM values. We then compare that to their actual 305-day ME milk records.

As Table 1 shows, based on genetics, we expect the top 25 percent of first-lactation heifers to produce 1,541 more pounds of milk on a 305ME basis than their lower PTAM counterparts. In reality, we see a 2,662-pound difference between the top PTAM animals and the bottom in actual daughter performance.

Table 1: How does selection for PTAM affect actual 305ME performance?
# of cowsAvg. Sire PTAMAvg. 305ME Production
Top 25% high sire PTAM178150844080
Bottom 25% low sire PTAM171-3341418
Difference15412662
This means that for every pound of milk this herd selects for, they actually get an additional 1.69 pounds of milk. So these first-lactation animals are producing well beyond their genetic potential.

Why do they get more than expected?

When we do most on-farm genetic assessments, we find that the 305ME values closely match the predicted difference based on sire PTAM. However, in this example, the production exceeds what’s expected by more than 1,100 pounds.

We often attribute that bonus milk top-level management, where genetics are allowed to express themselves. This particular herd provides a comfortable and consistent environment for all cows. All of these 2-year-olds are fed the same ration, housed in the same barn and given the same routine. At more than a 40,000-pound average 305ME, this is certainly a well-managed herd, which allows the top genetic animals to exceed their genetic production potential.

Perhaps even more importantly, the identification in this herd is more than 95 percent accurate. Without accurate identification, this analysis simply won’t work. That’s because some cows whose real sire information puts them in the bottom quartile will actually appear in the top quartile and vice-versa.

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Cow Livability calculated as new proof trait

The Council on Dairy Cattle Breeding (CDCB) is releasing proof information on the new Cow Livability trait for the first time this proof round.

Herd Barn

Cow Livability, abbreviated as LIV, is a subset of Productive Life and shows a high 0.70 correlation with the well-established PL. In simplest terms, Cow Livability measures a cow’s ability to stay alive on the farm. A higher livability means an increased likelihood that a cow will remain alive, and can therefore provide a return through a cull check, as opposed to dying on farm.

While this trait is lowly heritable, the economics associated with the cull value of cows is powerful and real. If you would like to include Cow Livability as part of your genetic plan, you can find this trait information for individual bulls on Alta’s proof sheets and online Bull Search.

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