In the dairy industry, genetic progress is often a game of inches, but the August 2026 triannual evaluation from the Council on Dairy Cattle Breeding (CDCB) represents a mile marker in how we define a profitable cow. This month, the industry moves beyond legacy models to embrace a more nuanced, biologically accurate set of traits that reflect how modern dairies are actually managed.
From a complete overhaul of female reproductive performance to the introduction of the first-ever genomic tools for calf health in the national system, the August evaluations are giving producers a clearer lens into the hidden costs of the barn: infertility and calfhood illness.
Reimagining Reproductive Performance
For more than two decades, the industry has relied on Daughter Pregnancy Rate (DPR) as the gold standard for fertility. However, the DPR model introduced in 2003 was built for a different era of management. The August 2026 updates represent the culmination of a multiyear review designed to strip away environmental noise and get to the heart of a modern dairy animal’s true genetic merit.
The most significant update to DPR is the move away from a fixed 50-day Voluntary Waiting Period (VWP) in the calculation. Today’s herds are managed with high-precision synchronization protocols and herd-specific VWPs that often extend well past 50 days. By shifting to a herd-level and lactation-group-specific VWP, the new model removes this management noise, or effect, to better capture additive genetic merit of animals in herds with longer waiting periods. The result? PTA values for DPR are now more reflective of the cow’s biology than the farm’s software settings and management practices.
Furthermore, Cow Conception Rate (CCR) and Heifer Conception Rate (HCR) have been refined to account for the service sire breed and “short cycling.” While models already accounted for semen type (conventional versus sexed versus natural), adding the service sire breed captures the genetic effect of the breed used in the mating itself.
To improve the stability of these numbers, CDCB is also implementing a comprehensive daughter representation edit. Daughter data will not be included in DPR, CCR or First Service to Conception (FSC) calculations until 36 months after the animal’s birth. This edit accounts for data-driven bias in initial estimates of young bulls seen in the legacy model, ensuring that moderate-to-low performing daughters have time to enter the data pool alongside their high-performing counterparts.
For producers, this means a bull’s reliability will increase at a familiar pace after an additional run or two compared to the legacy system. Reliabilities are a function of available data, including parent averages, genomic information and daughter records. The higher the reliability, the closer the estimated breeding value is to the true breeding value, which presents itself as a stable PTA from run to run.
Introducing FSC: The Efficiency Metric
While the industry has long looked at whether a cow gets pregnant, the new FSC trait asks how fast she does it, regardless of the voluntary waiting period.
FSC measures an animal’s genetic ability to achieve a successful conception in fewer days following the first insemination. Expressed in days, higher FSC values indicate fewer days from first service to conception relative to the breed base. This trait provides a direct indicator of reproductive efficiency, allowing producers to select for cows that settle in fewer days —reducing semen costs, labor and the days open that eat away at a farm’s bottom line.
While highly genetically correlated with DPR and CCR, which are expressed as percentages, PTA values for FSC will look very different due to its expression in days. Preliminary analysis shows 95% of Holstein cows will have a FSC PTA between -14.55 and +8.30 with a mean of -3.13. Additionally, 95% of Jersey cow FSC PTAs will range from -12.17 to +9.45 with a mean of -1.36. For comparison, DPR values are -3.74 to +2.87 and -2.97 to +2.85 for Holsteins and Jerseys, respectively. For active A.I. bulls, the preliminary FSC PTA range is -24.80 to +20.70 for Holsteins and -12.50 to +15.20 for Jerseys.
The introduction of FSC does not mean industry indexes, including those from CDCB — Lifetime Net Merit $, Cheese Merit $, Fluid Merit $ and Grazing Merit $ — are being updated in August. Instead, producers and the industry will have the opportunity to see how this trait performs on its own before its likely future inclusion.
The New Frontier: Calf Health
Perhaps the most anticipated addition to the August evaluation is the expansion of the health portfolio into the calf hutches. For the first time, producers will have access to PTAs for Resistance to Diarrhea (DIA) and Resistance to Respiratory Problems (RSP) from CDCB.
These traits are the result of years of producer-recorded data through Dairy Herd Improvement (DHI) programs that are processed at dairy records processing centers (DRPCs). Scours and pneumonia remain the two greatest threats to a calf’s survival and her future performance as a milker. By selecting for DIA and RSP, producers can now breed for resistance to the leading causes of early-life mortality before a calf ever hits the ground.
These PTAs are expressed in percentage points. A higher value indicates greater genetic resistance. In an era where labor is scarce and the cost of raising a replacement heifer has soared, the ability to genetically cull for respiratory and enteric issues is a transformative management tool.
The “Why” Behind the Data
Why does this update matter now? Today, the dairy industry is navigating a paradoxical market. We have a record high national herd and a surplus of milk, yet margins are being squeezed by the rising costs of marginal animals.
A cow that requires four services to conceive or a heifer that struggled with pneumonia as a calf is a leak in the farm’s financial bucket. The August 2026 updates are designed to plug those leaks. By refining DPR, CCR and HCR and introducing FSC and calf health traits, CDCB is giving producers the insight required to help build efficient herds.
Managing Risk in the Genomic Era
How should a breeder manage the risk of using a high-genomic bull whose fertility data won’t be influenced by daughter performance for an extra run or two?
According to Katie Schmitt, industry relations manager at the Council on Dairy Cattle Breeding, the answer lies in understanding the power of genomics.
“Because of genomics, we have highly reliable genetic evaluations for many traits even before daughter data is added,” Schmitt explains. While it might seem jarring to hear that daughter records for DPR, CCR and FSC will not enter the evaluation until the daughter is 36 months old — this change is intended to reduce the data-driven bias as the initial daughter information enters the evaluation for these reproductive traits.
By making the data inclusion age-based, it increases the opportunity for high-, moderate- and low-performing daughters to enter the evaluation at the same time. Previously, records could enter as soon as they became available, creating the potential for data-driven bias if daughters with more favorable reproductive performance entered before their lower-performing peers. Only data for these three traits is impacted by this new age-based data edit.
For all traits, PTAs with higher reliability are expected to be more stable from one evaluation to the next and to more closely estimate the animal’s true transmitting ability. Reliability is based on the amount and quality of available information, including pedigrees, genomic information, the animal’s own records and daughter information.
Breeders can manage risk by being aware of and considering both the bull’s PTA and the corresponding reliability of the evaluation. As daughter information accumulates and reliability increases, evaluations are expected to become progressively more stable. A PTA with 95% reliability typically has thousands of daughter records supporting it and can take years to achieve.
Schmitt emphasizes that breeders who value high-reliability evaluations should ensure their cow data are making it to the National Cooperator Database through DHIA and DRPC organizations.
“This is how we increase the reliability and therefore the stability of the evaluations,” she notes. Producers can track the reliability for these reproductive performance traits (or any trait) at webconnect.uscdcb.com or through NAAB’s website for A.I. bulls.
Applying the Science
As producers review their August proofs, the message from geneticists is clear: don’t be alarmed by PTA shifts. These changes aren’t a drop in quality; they are a sharpening of the image. The move to herd-specific VWPs and the inclusion of sire-breed data means we are finally comparing apples to apples in a modern management environment.
The August 2026 triannual evaluation marks the moment when dairy genetics caught up to modern management. By prioritizing reproductive efficiency and early-life health, the industry is setting the stage for a more resilient, stable and profitable U.S. dairy herd.
