Archive for genetic assessments

Monthly Genetic Evaluations to Boost Top-Rated Canadian Dairy Cow Rankings in 2025

Uncover the potential of Lactanet’s 2025 monthly genetic evaluations to elevate your Canadian dairy cows to premier status. Are your herds positioned to gain from this groundbreaking update? Learn more today.

A pillar of the dairy sector, genetic assessments are essential for herd management, breeding choices, and production. These tests concentrate on important factors like milk output, health, and fertility, thus empowering breeders and farmers to propel operational effectiveness and genetic advancement. Early 2025 will see Lactanet, Canada’s national dairy statistics and genetic improvement agency, moving to monthly official assessments for Canadian cows. This shift is significant for herds where milk samples are gathered unsupervised by the herd owner as it might improve more dairy cows to a top-rated level in genetic rankings. The change fits business trends toward automation, improved data-collecting techniques, and expands the genetic basis accessible to breeders.

Driving Genetic Progress: How Lactanet Canada Shapes the Future of Dairy Herds 

Crucially, lactate is the pillar of genetic development in Canada. The company provides complete dairy herd management solutions comprising milk records, genetic assessments, and advising services to boost dairy output and genetic enhancement.

Using solid data collecting and thorough analysis, Lactanet stimulates developments that support the national dairy industry’s sustainability and output. Three times a year, in April, August, and December, genetic assessments and bull proofs guarantee great precision and dependability. These tests provide essential benchmarks, including production characteristics, Lifetime Production Index (LPI), and Pro$, thus helping breeders choose the most genetically outstanding animals.

The way Lactanet combined genomic data emphasizes its dedication to genetic improvement. Lactanet accurately assesses the genetic potential of dairy cattle by using sophisticated genotyping, enabling breeders to make educated choices promoting long-term genetic improvement.

Lactanet guarantees the genetic quality of Canadian dairy cattle by matching modern genetic research with pragmatic on-farm data collecting, therefore advancing the sector.

Unveiling Hidden Potentials: Addressing the Genetic Evaluation Gaps in Owner-Sampled Herds

Even with improvements in genetic assessments, the existing method offers challenges—especially for owner-sampled herds. These cows are deprived of gaining places on top-ranking lists like the Lifetime Production Index or Pro$ depending on Parent Average (PA) values instead of exact genetic parameters from supervised testing. These cows typically stay underestimated in formal genetic evaluations without controlled testing data.

The triannual updates postpone the distribution of vital genetic information and further limit the acknowledgment of gene progress within owner-sampled herds. This lag narrows the breeding base, affecting individual breeders and limiting general genetic progress.

The introduction of automated milking systems with built-in sample features emphasizes the increasing discrepancy between contemporary herd management techniques and conventional genetic assessment approaches. In the present configuration, these systems generate large amounts of data that only partially support genetic assessments, developing a discrepancy between actual and evaluated genetic value.

To solve these problems and guarantee that every cow has fair access to top-ranking lists independent of milk testing control, the suggested change to monthly official assessments aims to This modification seeks to drive more successful breeding strategies by offering a more comprehensive and accurate picture of genetic quality in Canadian dairy herds.

Proposed Monthly Genetic Evaluations: A Game Changer for Owner-Sampled Dairy Herds 

The suggested adjustments will greatly help owner-sampled herds, including switching to a monthly genetic evaluation scheme. The first Tuesday of every month will be used to update genetic assessments for cows with fresh test results, including unsupervised samples. Official updates for proven sires will come three times a year; owner-sampled herds will frequently have their Parent Average (PA) values updated. This shift increases the genetic pool accessible to breeders by allowing these herds to have maybe cows included in top-ranking genetic lists.

Through monthly updates, Lactanet recognizes the growth in automated milking systems, which gather production data and conduct thorough sampling. This renders either supervised or unsupervised categorization less critical. The obtained data still shows excellent accuracy. Hence, genomics guarantees solid genetic assessments. This change toward regular and comprehensive updates seeks to optimize genetic advancement and enhance the genetic health of dairy cows throughout Canada.

Lactanet’s genetic assessment procedure revolves mainly around integrating genomics, the fundamental component of all genetic ranking systems used in Canada. The company uses a diverse strategy to guarantee the quality and completeness of the published genetic data. Newly collected data from bulls and females undergoing controlled testing is continuously included in the current dataset, updating the “unofficial” genetic assessments. Participating artificial insemination (AI) businesses and farmers using modern herd management systems like Compass and DairyComp may obtain these unofficial assessments. 

Implications for Breeders: Expanding the Genetic Horizon with Monthly Evaluations 

This change has significant ramifications for breeders. Monthly certified genetic evaluations will increase the genetic data accessible to breeders, enabling assessments based on actual performance rather than Parent Average values. This will increase the genetic pool from which sires and dams could be chosen. Frequent updates will ensure breeders receive the most recent genetic information, guiding their breeding choices. This precision will enable the identification of previously missed outstanding cows. More cows will land top-rated in genetic rankings.

Including information from automated milking systems and other cutting-edge technology will also help to guarantee ratings reflect actual performance. This will enable breeders to propel genetic advancement efficiently, improving dairy herd sustainability, health, and production throughout Canada.

Precision and Reliability: Lactanet’s Multifaceted Genetic Evaluation Process 

Using a thorough internal procedure, Lactanet guarantees accuracy and dependability in genetic assessments. This generates unofficial and formal genetic evaluations by combining data from known sires with supervised testing females. Shared via Compass and DairyComp, unofficial assessments provide vital information for temporary herd sire decisions.

Underlying all genetic rankings, Lactanet’s work is based on the integration of genomes. Genomic testing lowers the uncertainty related to conventional techniques by improving assessments’ accuracy and prediction ability.

Considered equally accurate are both controlled and unsupervised milk sample data. The emergence of automated technologies has improved sample integrity and milk production monitoring. Lactanet’s data analytics technologies tightly evaluate these inputs and match them with genetic data to provide high-precision assessments.

Combining conventional data collection, cutting-edge genomics, and strict validation techniques, Lactanet’s genetic assessment system is a diverse strategy that improves assessment accuracy. It increases the genetic basis accessible to breeders, promoting the ongoing development of Canadian dairy herds.

Technological Advancements: The Role of Automated Milking Systems in Modern Dairy Farming

Using automated milking systems signifies a significant change in dairy production, improving output and efficiency. These sophisticated technologies have reduced the need for supervised milk testing by including exact sampling and production monitoring features. Automated milking guarantees reliable data collecting necessary for genetic studies and fits with Lactanet’s shift to unsupervised testing, simplifying the procedure. This change enables significant genetic advancement and improves the quality of Canadian dairy herds by allowing cows to be included more broadly in genetic rankings.

Genomics and Unsupervised Testing: A New Era of Equitable Genetic Evaluations

Brian Van Doormaal highlighted the significance of these changes, noting, “For genetic evaluation, top lists usually involve genotyped females, so there’s little need to distinguish between supervised and unsupervised testing. The data accuracy is equivalent, and genomics ensures high genetic information accuracy.”

Mapping the Road Ahead: Key Milestones for Implementing Lactanet’s New Genetic Evaluation System 

As Lactanet gears up for its new monthly evaluation system, several pivotal milestones guide its implementation: 

  • Early 2024: Finalize criteria for cow eligibility through stakeholder consultations and in-depth analysis.
  • Mid to Late 2024: Conduct pilot runs and gather feedback to refine the evaluation process.
  • January 2025: Begin initial rollout, integrating the new system with existing triannual updates.
  • May 2025: Achieve full implementation, ensuring monthly updates for all owner-sampled herds.

This carefully structured timeline guarantees thorough preparation and testing, allowing Lactanet to maintain its commitment to accuracy and reliability.

The Bottom Line

Changing from Lactanet to monthly genetic tests might revolutionize the Canadian dairy sector. It levels the playing field for owner-sampled herds so they may reach high genetic rankings alongside monitored herds, hence increasing the genetic pool available for breeders. This action also fits the growing usage of automated milking systems, which combine cutting-edge dairy farming technology. Dairy cow rankings will become more dynamic and accurate, defining new national genetic advancement and herd development criteria.

Key Takeaways:

  • Monthly official evaluations will provide more timely and comprehensive genetic data for Canadian cows.
  • Owner-sampled herds, previously limited to Parent Average values, will now have their genetic evaluations updated monthly.
  • This change is expected to expand the genetic base available to breeders, allowing more cows to achieve top rankings.
  • Proven sires’ evaluations will continue to be updated three times annually, maintaining the reliability of genetic data.
  • The transition aligns with the rising trend of automated milking systems, which offer unsupervised sampling and monitoring capabilities.
  • Genomics remain fundamental to genetic rankings, ensuring accuracy across both supervised and unsupervised testing environments.
  • Lactanet is yet to finalize criteria for eligibility, with implementation set for early or mid-2025.

Summary: 

Lactanet Canada, Canada’s national dairy statistics and genetic improvement agency, is set to transition to monthly official assessments for Canadian cows in early 2025. This change is particularly significant for herds where milk samples are collected unsupervised by the herd owner, as it could improve more dairy cows to a top-rated level in genetic rankings. Lactanet provides complete dairy herd management solutions, including milk records, genetic assessments, and advisory services to boost dairy output and genetic enhancement. The proposed change aims to drive more successful breeding strategies by offering a more comprehensive and accurate picture of genetic quality in Canadian dairy herds. The company’s genetic assessment procedure focuses on integrating genomics, the fundamental component of all genetic ranking systems used in Canada. Monthly certified genetic evaluations will increase the genetic data accessible to breeders, enabling assessments based on actual performance rather than Parent Average values. Frequent updates will ensure breeders receive the most recent genetic information, guiding their breeding choices.

Learn more:

August 2024 Genetic Evaluations: Key Updates and Innovations from CDCB and USDA AGIL

Discover the latest updates in genetic evaluations from CDCB and USDA AGIL. How will the new 305-AA yield measurement and Constructed IDs impact your herd?

CDCB and USDA Animal Genomics and Improvement Laboratory (AGIL) implemented essential changes to improve genetic assessment accuracy on August 13, 2024. This paper underlines these critical developments and their advantages for the dairy sector. Supported by USDA AGIL’s innovative genomics research, CDCB is well-known for its exact genetic assessments. Among other improvements, the adoption of Constructed IDs and 305-AA standardized yield measurement highlights their dedication to precision and innovation, increasing the dairy industry’s output and sustainability.

CDCB and USDA AGIL Introduce the New Standardized Yield Measurement Known as 305-AA 

In a step meant to transform dairy genetics, the USDA AGIL and CDCB have unveiled the new standardized yield measurement known as 305-AA. This much-awaited change departs significantly from the mature equivalent (ME) standard, effective since 1935. Standardized yield records now benchmark the average age of 36 months or 305-AA. Inspired by current studies, this adjustment marks a methodological turn to reflect a more contemporary dairy environment.

The new 305-AA yield assessment replaces changes relied upon over the last 30 years and incorporates updated age, parity, and season parameters. The recalibrated changes seek to permit fair phenotypic comparisons among cows of various ages, sexes, and calving seasons. The main objective is to evaluate dairy performance under many settings and management strategies.

One significant modification is adjusting herd averages to approach real yields. Under the former ME method, breed-specific yield projections varied by around 10 percent higher than actual yields. Effective June 12, 2024, the estimates of the 305-AA yield become available via CDCB’s WebConnect for animal and data searches. Moreover, the officially adopted, on August 13, 2024, new 305-AA changes are entirely included in the CDCB genetic examinations.

Table 1. The ratio of mature equivalent to 36-month equivalent milk, fat, and protein yields from 1994 or recent data

Breed1994 FactorME / 36-month SD ratio in recent data
  MilkFatProtein
Ayrshire1.101.0921.0761.067
Brown Swiss1.151.1561.1501.142
Guernsey1.051.0431.0091.013
Holstein1.101.0821.0811.059
Jersey1.101.0791.0631.064
Milking Shorthorn1.151.1101.1001.090

This move from 305-ME to 305-AA offers a perceptive analogy. Recent data shows that standardized yields calculated from the 1994 ME factors are routinely more significant than those adjusted to the 36-month equivalent. This change marks a reassessment of yield projections to more closely reflect the contemporary dairy environment and current dairy animal performance.

A vital component of this shift is the modification in standard deviation (SD) “ME / 36-month” ratios, usually seen to be somewhat greater in earlier data than in recent changes. These little variations indicate calibrating output estimations to fit modern dairy production methods and genetic developments.

For predicted transmitting abilities (PTAs), these changes have significant ramifications. Updated ratios closer to 1.08 for Holsteins (HO) and Jerseys (JE) and generally more tiny numbers for fat and protein point to a minor scaling or base adjustment in PTA values. These changes assist representative assessments of dairy cow genetics, improving the validity and applicability of these measures according to contemporary industry requirements. Thus, a sophisticated, data-driven approach to genetic studies helps the dairy industry by promoting informed breeding and management choices.

Enhancing Precision: Modern Dairy Environments and Refined Seasonal Adjustments

Recent data analysis has improved seasonal adjustments to reflect the effect on lactation yields of the changing dairy environment. Modern architecture and construction methods have lessened the seasonal impact on yields, hence stressing improvements in dairy settings. The revised approach reveals minor variations by estimating seasonal impacts within five separate climatic zones defined by average state climate scores. This change emphasizes the advantages of better dairy conditions, lessening the need for significant seasonal changes and more accurate genetic tests. This method guarantees lactation yields are assessed in a framework that fairly represents current environmental and management circumstances using region-specific modifications, enabling more precise and fair comparisons of dairy output.

Robust Validation: Testing New Factors Across Decades of Lactation Records

The new parameters were tested rigorously using 101.5 million milk, 100.5 million fat, and 81.2 million protein lactation data from 1960 to 2022. The validation focused on the relationships of Predicted Transmitting Ability (PTAs) for proven bulls born after 2000. Results were rather good, with correlations of 0.999 for Holsteins, above 0.99 for Jerseys and Guernseys, and somewhat lower, ranging from 0.981 to 0.984, for Brown Swiss and Milking Shorthorns. These strong connections underscore the dependability of the new elements. The study also observed minor changes in genetic trends: a decline for Brown Swiss and Jerseys and a rise for Guernseys. These revelations help us better evaluate our genes, guaranteeing justice and ongoing development.

Revolutionizing Genetics: The Full Integration of Constructed IDs into the CDCB Database 

When fully adopted by August 2024, Constructed IDs represent a significant turning point for CDCB. Targeting partial pedigrees, particularly for animals without maternal ancestry information, this invention launched in mid-2023 and ends in July 2024. Constructed IDs link approximately 3.2 million animals in the National Cooperator Database to newly discovered relatives, developed by significant research by USDA AGIL using over a decade of genetic technology experience.

This improvement increases the dependability and accuracy of genetic tests. The worldwide influence is significant given these complex interactions across the closely linked U.S. dairy community. More precise breeding choices help directly impacted and related animals to improve their genetic quality and raise U.S. assessments. Designed IDs strengthen the genetic bases for further development by filling critical pedigree gaps.

Refined Criteria and Data Integration: Elevating Heifer Livability Evaluations for Improved Genetic Precision 

Recent improvements in heifer liability (HLV) show how committed the USDA AGIL and CDCB are to accuracy and dependability in genetic assessments. Fundamental changes exclude recent heifer fatalities from 2022–24 and rectify previously missed data resulting from changes in cow termination codes. These wholly integrated reports improve HLV assessments immediately. Improving the speed and depth of evaluations is a crucial modification that calls for a minimum of 1 percent mortality loss annually for the data of a herd to be legitimate. Faster adaptability to evolving reporting methods made possible by this change from cumulative to yearly criteria guarantees current herd health dynamics are faithfully captured. These improvements have generally resulted in a significant increase in the dependability of HLV assessments, particularly for bulls with daughters in the most recent data sets, generating more robust genetic predictions for offspring and informed breeding choices.

Pioneering Genetic Insights: Brown Swiss Rear Teat Placement (RTP) Evaluation

A significant turning point in dairy cow breeding is the introduction of the conventional and genomic assessment for Brown Swiss Rear Teat Placement (RTP). Using about 15,000 assessments from January 2024, CDCB and USDA AGIL accurately calculated the RTP parameters. On the 50-point linear scale, about 80 percent of the evaluations lie between 25 and 35 points. Heritability for RTP is 0.21, somewhat similar to front teat placement at 0.22; repeatability is 0.33.

Ranges for Rear Teat Placement in Brown Swiss

 Predicted Transmitting Abilities (PTA)Reliabilities
Males-2.4 to 3.10 to 98%
Females-3.7 to 2.90 to 79%

For bulls with reliabilities between 0 and 98% and for women between 0 and 79%, the PTA values for RTP in Brown Swiss are -2.4 to 3.1 and -3.7 to 2.9, respectively. This assessment uses exact measures and rigorous statistical techniques and emphasizes genetic heterogeneity within the breed.

Breeding choices depend on this thorough assessment, which helps farmers choose ideal RTP characteristics, enhancing herd quality and production. Driven by reliable, data-based conclusions, the August 2024 release of these assessments marks a new chapter in Brown Swiss genetics.

Refined Precision: Streamlining Genetic Markers for Enhanced Genomic Predictions 

Effective August 2024, the genetic marker update improved the SNPs used in genomic predictions, lowering the list from 78,964 to 69,200. This exact choosing approach removed low call rates, poor genotyping quality, minor allele frequencies, and markers with minimal effects. The X chromosome’s length allowed all SNPs to be maintained there. This update improved efficiency by helping to reduce processing time and storage usage by 12%. About 74% of the deleted SNPs originated from high-density chips.

Five other gene tests—HH7 and Slick, among others—were also included in the update. Confirming the low effect on trait averages and standard deviations, preliminary studies revealed a roughly 99.6% correlation between genomic predictions from the old and new SNP lists. For animals with less dense genotypes or partial pedigrees, this recalibration improves the accuracy of genetic assessments.

Incorporating Genomic Advancements: Annual Breed Base Representation (BBR) Updates

Accurate genetic evaluations depend on annual Breed Base Representation (BBR) revisions. This update, set for August, guarantees that the most relevant genetic markers are included in BBR calculations. Consistent with past upgrades, a test run based on February 2024 data confirmed the stability and strength of the new SNP set. The CDCB maintains BBR calculations at the forefront of genetic assessment by including this improved SNP set, giving dairy farmers the most reliable data for informed breeding choices.

Integrating Cutting-Edge Gene Test Data: Enhancing Haplotype Calculations for Holstein HH6 and Jersey JNS

A significant step forward in genetic assessments is combining Holstein Haplotypes 6 (HH6) and Jersey Neuropathy with Splayed Forelimbs (JNS) direct gene test data into haplotype calculations. By providing thorough gene test results to CDCB, Neogen and the American Jersey Cattle Association (AJCA) have been instrumental in this process. More exact haplotype estimations have come from including these direct gene tests in imputation procedures. Test runs greatly increase performance, Particularly for animals with gene test results and their offspring. This integration improves genetic prediction accuracy and emphasizes the need for cooperation in enhancing dairy cow genes.

The Bottom Line

Incorporating innovative modifications to maximize yield metrics, genetic evaluations, and pedigree correctness, the August 2024 genetic assessments signal a turning point in dairy herd management. These advances improve the dependability and accuracy of tests. While improved seasonal and parity corrections reflect current conditions, the new 305-AA standardizes yield measures for fair comparisons. We designed IDs to decrease pedigree gaps, improving assessments and criteria for Heifer Livability (HLV) and rear teat placement for Brown Swiss. Simplified genetic markers and combined genomic advances such as HH6 and JNS gene testing further improve assessment accuracy. These developments provide consistent data for farmers, enhancing the general health and output of dairy cows. Supported by a thorough study, the August 2024 assessments mark a significant breakthrough and inspire manufacturers to use these innovative approaches for more sustainability and efficiency.

Key Takeaways:

  • The 305-AA standardized yield records, adjusted to 36 months, replace the previous mature equivalent (ME) adjustments.
  • Implemented new factors enable fairer phenotypic comparisons across cows of different ages, parities, and seasons.
  • Seasonal adjustments are now estimated within regional climate zones, reflecting improved management and housing reducing environmental impact on yields.
  • Implementation of Constructed IDs enhances pedigree completeness and genetic evaluation accuracy.
  • Heifer Livability (HLV) evaluations refined through revised modeling and data integrations, particularly focusing on recent years’ reports.
  • Brown Swiss Rear Teat Placement (RTP) evaluations introduced, offering significant genetic insights with traditional and genomic evaluations.
  • Reduction of SNPs from 78,964 to 69,200 for streamlined genomic predictions, enhancing processing time and accuracy.
  • Annual BBR updates incorporate the new set of SNP markers, ensuring consistency and precision in breed representation.
  • Direct gene tests for Holstein HH6 and Jersey JNS now included in haplotype calculations, improving prediction accuracy.

Summary: 

The CDCB and USDA Animal Genomics and Improvement Laboratory (AGIL) have introduced a new standardized yield measurement, 305-AA, on August 13, 2024. This change allows fair comparisons among cows of various ages, sexes, and calving seasons. The revised approach estimates seasonal impacts within five separate climatic zones. Robust validation of the new parameters was conducted using 101.5 million milk, 100.5 million fat, and 81.2 million protein lactation data from 1960 to 2022. Results showed good correlations for Holsteins, Jerseys, Guernseys, Brown Swiss, and Milking Shorthorns. The August 2024 genetic assessments represent a significant turning point in dairy herd management, enhancing the dependability and accuracy of genetic tests. Constructed IDs link approximately 3.2 million animals in the National Cooperator Database to newly discovered relatives, improving genetic quality and raising U.S. assessments.

Learn more:

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