Archive for disease management

USDA Launches Pilot Program to Combat H5N1 in Dairy Herds with $824 Million Support

Discover how the USDA’s new $824M pilot program aims to combat H5N1 in dairy herds. Will your state participate in this innovative approach to safeguard livestock?

The USDA’s new H5N1 Dairy Herd Status Pilot Program aims to revolutionize cattle health monitoring and expedite cattle movement. Starting in select states, this voluntary program promises to usher in an era of diligent health surveillance. 

The innovative program has three main goals: 

  • Enhanced Monitoring: Systematic testing of cows for H5N1.
  • Streamlined Movement: Swift shipment of cattle after consistent negative tests.
  • Flexible Testing: Alternative methods to confirm herd health regularly.

“We are deeply committed to providing our dairy producers with the tools to maintain herd health and ensure dairy supply chain stability,” said Ag Secretary Tom Vilsack, highlighting USDA’s unwavering and proactive approach to disease management.

Empowering Dairy Producers: The Flexibility and Efficiency of the H5N1 Dairy Herd Status Pilot Program

The voluntary H5N1 Dairy Herd Status Pilot Program empowers dairy producers to choose participation based on their needs, providing flexibility without regulatory compulsion. This initiative aids in efficiently monitoring herds and mitigating Influenza A spread among dairy cattle, ensuring the health and safety of your herds and the stability of the dairy supply chain. 

Revolutionizing Dairy Herd Management through Proactive H5N1 Testing: A New Era of Efficiency and Welfare

The H5N1 Dairy Herd Status Pilot Program provides dairy producers with new testing options after their herds test negative for H5N1 for three consecutive weeks. This initiative shifts from reactive to proactive, allowing producers to ensure consistent herd health and efficient cattle movement. The program reduces labor and costs by enabling weekly bulk milk tests instead of individual animal tests while minimizing animal stress and enhancing herd welfare. 

The National Animal Health Laboratory Network (NAHLN) is a key player in the H5N1 Dairy Herd Status Pilot Program. Its rigorous standards ensure reliable results, which in turn, build trust in the program’s diagnostic capabilities. This trust is crucial for enabling continuous, proactive herd management and encouraging dairy producers to participate.

Strategic State Collaborations: The Keystone of the H5N1 Dairy Herd Status Pilot Program 

Strategic state collaborations are at the heart of the H5N1 Dairy Herd Status Pilot Program. APHIS is working closelywith state officials to select the best candidates for the program. This careful selection process ensures that regions with the highest potential for success and impact are chosen, providing dairy producers with the assurance that the program is well-planned and effective. 

Once participating states are finalized, enrollment will begin the week of June 3. Producers can contact their state veterinarian for details. This straightforward process allows producers to join the program quickly and benefit from improved testing and movement options.

Upholding Safety and Compliance: Mandatory Regulations for Non-Participant Dairy Producers

Producers opting out of the pilot program must follow the Federal Order for pre-movement testing of lactating dairy cattle. Every interstate movement of dairy cows requires a negative Influenza A test within the specified timeframe before transit. This stringent testing protocol ensures that only healthy cows are relocated, reducing the risk of disease spread. 

Non-enrolled producers must also adhere to regular herd monitoring practices to identify any H5N1 symptoms promptly. In line with state and federal regulations, routine health inspections are crucial to maintaining herd health and preventing outbreaks. Staying updated with these regulations is essential, as compliance protects individual herds and supports broader public health goals.

Securing America’s Agriculture: Strategic Investments in Biosecurity and Disease Management 

Ag Secretary Tom Vilsack has approved $824 million from the Commodity Credit Corporation to invest in the nation’s biosecurity and disease management. These funds are earmarked for APHIS to enhance efforts against HPAI and the H5N1 strain, especially in the dairy sector

This funding will be allocated to several key areas: 

  • Diagnostics: Improving lab capabilities for rapid and accurate H5N1 detection.
  • Field Responses: Supporting immediate response efforts in affected areas.
  • Pre-Movement Testing: Funding comprehensive testing protocols to maintain herd health and safe cattle movement.
  • Other Surveillance: Expanding programs to monitor HPAI and H5N1 spread and mutations.
  • Vaccine Development: Investing in vaccines for various species to prevent and control the disease long-term.

USDA’s deployment of these resources underscores its commitment to safeguarding the agricultural industry, ensuring food production resilience, and fostering fairer markets. This financial support addresses immediate needs while paving the way for a more secure and sustainable future in American agriculture. 

The Bottom Line

The H5N1 Dairy Herd Status Pilot Program marks a pivotal change in managing potential H5N1 outbreaks for dairy producers. Simplifying testing for those who consistently show negative results allows greater operational flexibility and reduces economic strain. This initiative, backed by substantial funding and state collaboration, bolsters herd health and strengthens America’s agricultural biosecurity.

Key Takeaways:

  • The program is voluntary and targets herds that test negative for H5N1 for three consecutive weeks.
  • Testing will be conducted through National Animal Health Laboratory Network facilities.
  • Producers will have the option to conduct weekly bulk milk tests to confirm the herd’s status.
  • State officials and APHIS are currently determining participating states, with enrollment commencing the week of June 3.
  • Non-enrolled producers must adhere to existing interstate testing and movement regulations as outlined in the Federal Order.
  • Ag Secretary Tom Vilsack has authorized $824 million from the Commodity Credit Corporation to support diagnostics, field responses, pre-movement testing, surveillance, and vaccine development.

Summary: The USDA is launching the H5N1 Dairy Herd Status Pilot Program to improve cattle health monitoring and dairy supply chain stability. Starting in select states, the program aims to provide dairy producers with tools to maintain herd health and streamline movement. The National Animal Health Laboratory Network (NAHLN) is a key player in the program, with rigorous standards ensuring reliable results and building trust in its diagnostic capabilities. Enrollment will begin on June 3, and producers can contact their state veterinarian for details. Non-enrolled producers must follow the Federal Order for pre-movement testing of lactating dairy cattle and adhere to regular herd monitoring practices to identify H5N1 symptoms promptly. The USDA has approved $824 million from the Commodity Credit Corporation for biosecurity and disease management.

Decoding the Impact of Housing Systems on Digital Dermatitis in Dairy Cows: A Genetic Study

Delve into the influence of housing systems on digital dermatitis in dairy cows. Could genetic evaluations pave the way for enhanced bovine health across varied living conditions? Uncover the research insights here.

Imagine walking barefoot on gravel daily; the discomfort of digital dermatitis (DD) in dairy cows feels similar. This painful hoof disease significantly hampers cows’ mobility, milk production, and the economic health of dairy farms. 

The environment in which cows are housed plays a critical role in DD’s incidence and severity. Housing systems such as conventional cubicle barns (CON) and compost-bedded pack barns (CBPB) have distinct impacts on disease management. Understanding these housing-related nuances is vital for farmers and researchers working to reduce DD’s impact. 

This research utilizes detailed phenotyping data from over 2,980 observations of Holstein-Friesian and Fleckvieh-Simmental cows on ten farms. It investigates the genetic variances linked to DD stages: sick, acute, and chronic. Through genome-wide association studies (GWAS), the study identifies potential candidate genes and assesses genotype × housing system interactions. This comprehensive analysis seeks to uncover genetic factors that can inform breeding programs and enhance animal welfare, regardless of their rearing environment. 

Introduction: Understanding Digital Dermatitis in Dairy Cows

Digital Dermatitis (DD) is an infectious disease impacting the bovine foot, particularly the plantar skin bordering the interdigital cleft. This condition ranges from initial lesions to chronic, painful wounds, affecting dairy cows‘ mobility and well-being. 

The development of DD involves a mix of environmental, genetic, and management factors. Housing systems, especially conventional cubicle barns, create conditions ripe for DD, with moisture and contamination fostering pathogen growth. Nutritional imbalances, poor foot hygiene, and milking routines further increase risk. Notably, genetic predispositions also play a role; some cattle lines are more susceptible, emphasizing the need for genetic research to combat DD. 

The economic and welfare impacts of DD are significant. Economically, it causes losses through reduced milk production, higher veterinary costs, and culling of severely affected cows. Welfare-wise, the pain and lameness from DD seriously affect cattle comfort and health, raising ethical concerns in livestock management. Therefore, addressing DD with better housing, management practices, and genetic selection is crucial for sustainable dairy farming.

Exploring Housing Systems: Cubicle Barns vs. Compost-Bedded Pack Barns

Housing systems play a pivotal role in dairy productivity and cow health and welfare. The primary systems include conventional cubicle barns (CON) and compost-bedded pack barns (CBPB), each impacting the Prevalence and severity of digital dermatitis (DD). 

In CON setups, cows rest on mats or mattresses over concrete floors. This controlled environment supports restful ruminating but can worsen claw disorders due to constant exposure to manure and poor ventilation. Conversely, CBPB systems offer cows a spacious environment with composting bedding of sawdust or wood shavings, which is more comfortable and supports better hoof health by reducing pathogens through microbial activity. 

The flooring material is crucial. Concrete floors in CON systems retain moisture and manure, fostering bacteria that cause DD. CBPB systems’ drier, more sanitary bedding leads to fewer DD incidences. 

Hygiene practices, essential for DD control, differ by system. CON systems require regular scraping and washing, while CBPB systems depend on managing bedding moisture and microbial activity. Both approaches aim to reduce bacterial loads and curb DD spread. 

Cow comfort, dictated by the housing system, also affects DD prevalence. CBPB’s spacious, free-roaming environment reduces stress and improves immune function, making cows less prone to DD. In contrast, CON systems’ restrictiveness can increase anxiety and susceptibility to claw disorders. 

In summary, the choice between cubicle barns and compost-bedded pack barns significantly impacts cow health and the incidence of DD. Prioritizing comfort and hygiene in housing systems leads to healthier, more productive cows with fewer claw disorders.

Unveiling Genetic Interactions Between Housing Systems and Digital Dermatitis in Dairy Cows

ParameterConventional Cubicle Barns (CON)Compost-Bedded Pack Barns (CBPB)Overall Dataset
Number of Observations1,4501,5302,980
Number of Cows8118991,710
DD-Sick Prevalence (%)HigherLower20.47%
DD-Acute Prevalence (%)HigherLower13.88%
DD-Chronic Prevalence (%)HigherLower5.34%
Heritability – DD-Sick0.160.160.16
Heritability – DD-Acute0.140.140.14
Heritability – DD-Chronic0.110.110.11
Genetic Correlation (CON and CBPB) – Same Traits~0.80N/A
Genetic Correlation – Within Traits (DD-Sick, DD-Acute, DD-Chronic)0.58 – 0.81
Significant Candidate Genes for DD-Sick and DD-Acute (SNP Main Effects)METTL25, AFF3, PRKG1, TENM4
Significant Candidate Genes (SNP × Housing System Interaction)ASXL1, NOL4L (BTA 13)

The genetic study on digital dermatitis (DD) in dairy cows examined the influence of different housing systems on the disease. This research aimed to understand the interaction between cow genotypes and their environments. It focused on DD stages—DD-sick, DD-acute, and DD-chronic—in conventional cubicle barns (CON) and compost-bedded pack barns (CBPB). Herds were selected to ensure similarities in climate, feeding, and milking systems. Still, they differed in housing setups to isolate housing-specific impacts on DD. 

Using 2,980 observations from 1,710 cows and 38,495 SNPs from 926 genotyped cows after quality control, the study employed single-step approaches for single-trait repeatability animal models and bivariate models to estimate genetic parameters and correlations. GWAS identified specific SNPs and their interactions with housing systems. Heritabilities for DD stages and genetic correlations between the same traits in different housing systems were also calculated. 

Results showed higher DD prevalence in CON systems compared to CBPB. Heritabilities were 0.16 for DD-sick, 0.14 for DD-acute, and 0.11 for DD-chronic, with a slight increase in CON. Genetic correlations between the same DD traits in different housing systems were around 0.80, indicating minimal genotype × housing system interactions. Correlations among DD stages ranged from 0.58 to 0.81, showing their interconnectedness regardless of the housing system. 

GWAS results were varied for DD-acute and DD-chronic, indicating complex pathogenesis. Candidate genes affecting disease resistance or immune response included METTL25, AFF3, PRKG1, and TENM4 for DD-sick and DD-acute. SNP × housing system interactions highlighted ASXL1 and NOL4L on BTA 13 for DD-sick and DD-acute. 

For dairy farmers, these findings underline the impact of housing systems on the Prevalence and progression of DD and the potential genetic implications. Our comprehensive study provides actionable insights for dairy farmers globally. 

Notably, DD prevalence was significantly higher in CON, highlighting the challenging environment of cubicle barns compared to the more welfare-oriented CBPB system. These insights are crucial as they affect animal health and have economic ramifications, including reduced milk production and increased treatment costs. 

We examined genetic evaluations across these environments and found that heritabilities for DD traits (DD-sick, DD-acute, DD-chronic) were slightly higher in the CON system. Still, overall genetic parameters remained consistent across both systems. Despite different housing practices, the genetic predisposition to DD remains relatively stable. 

Genetic correlations between different DD stages (ranging from 0.58 to 0.81) suggest a common underlying genetic resistance mechanism crucial for developing targeted breeding programs. Furthermore, GWAS pinpointed several candidate genes, such as METTL25, AFF3, PRKG1, and TENM4, with significant implications for disease resistance and immunology. 

This research underscores the importance of genotype-environment interactions, even though these were minimal in housing systems. Integrating genomic insights with practical management strategies can improve animal well-being and farm productivity as the dairy industry evolves. 

By applying these findings, dairy farmers can make informed decisions about housing systems and genetic selection, enhancing economic and animal health outcomes. This study calls for the industry to adopt evidence-based practices rooted in rigorous scientific research.

Genetic Evaluations: From Genotypes to Phenotypes

The research meticulously analyzed data from 1,311 Holstein-Friesian and 399 Fleckvieh-Simmental cows, totaling 2,980 observations across three digital dermatitis (DD) stages: DD-sick, DD-acute, and DD-chronic. This granular phenotyping clarifies how DD stages manifest in different environments. By categorizing it into conventional cubicle barns (CON) and compost-bedded pack barns (CBPB), the study highlights the environmental impact on genetic expressions related to DD. 

Quality control of 50K SNP genotypes refined the data to 38,495 SNPs from 926 cows. This dataset formed the basis for estimating genetic parameters through single-step approaches. The genetic correlations between DD traits and housing systems uncovered genotype × environment (G×E) interactions. 

Heritability estimates were 0.16 for DD-sick, 0.14 for DD-acute, and 0.11 for DD-chronic, indicating the genetic influence. Notably, these estimates and genetic variances slightly rose in the more stressful CON environment, indicating heightened genetic differentiation under challenging conditions. Genetic correlations between the same DD traits across different housing systems were around 0.80, showing minimal G×E interactions. 

Genome-wide association studies (GWAS) revealed heterogeneous Manhattan plots for DD-acute and DD-chronic traits, indicating complex biological pathways. Despite this, several shared candidate genes like METTL25, AFF3, PRKG1, and TENM4 were identified, showing their potential role in managing DD through genetic selection. 

For SNP × housing system interactions, genes such as ASXL1 and NOL4L on chromosome 13 were relevant for DD-sick and DD-acute. These findings illustrate how specific genetic markers interact with environmental factors. Overall, the minimal impact of genotype × housing system interactions supports robust genetic evaluations for DD across diverse environments, aiding broader genetic selection strategies in dairy cow populations. 

The Bottom Line

This study highlights the importance of detailed phenotyping and genetic evaluations in understanding digital dermatitis (DD) in dairy cows. By examining 1,710 Holstein-Friesian and Fleckvieh-Simmental cows in conventional cubicle barns (CON) and compost-bedded pack barns (CBPB), the research provided crucial insights into the Prevalence and heritability of DD. It found slightly higher genetic differentiation in the more challenging CON environment but minimal genotype × housing system interactions, indicating a limited impact on genetic assessments. Essential genes like METTL25, AFF3, PRKG1, and TENM4 were identified as necessary for disease resistance and immunology. 

Understanding how housing systems affect DD is crucial. It helps improve management practices to reduce DD prevalence, enhancing cow welfare and farm productivity. It also improves genetic selection by identifying traits that enhance DD resistance in specific environments, benefiting long-term herd health and sustainability. This insight is vital for today’s dairy operations and future breeding programs. 

Future research should delve into the long-term impact of housing systems on genetic traits linked to DD resistance. Exploring other environmental and management factors, like nutrition and milking routines, would offer a fuller understanding of DD. Personalized genetic interventions tailored to specific farm environments could be a game-changer in managing this disease in dairy cows.

Key Takeaways:

  • The study analyzed 2,980 observations of DD stages, differentiating between DD-sick, DD-acute, and DD-chronic across two housing systems: conventional cubicle barns (CON) and compost-bedded pack barns (CBPB).
  • Heritabilities for DD were slightly higher in the CON environment, suggesting a stronger genetic differentiation of the disease in more challenging conditions.
  • Despite varying heritabilities, genetic correlations between the same DD traits in different housing systems were high, indicating minimal genotype × housing system interactions.
  • GWAS highlighted significant candidate genes such as METTL25, AFF3, and PRKG1, which play roles in disease resistance and immunology.
  • This research underscores the importance of considering housing systems in genetic evaluations to enhance disease management and improve cow welfare.


Summary: Digital Dermatitis (DD) is a severe hoof disease that affects dairy cows’ mobility, milk production, and farm economic health. Housing systems like conventional cubicle barns (CON) and compost-bedded pack barns (CBPB) have distinct impacts on disease management. CON setups, which support restful ruminating but can worsen claw disorders due to constant exposure to manure and poor ventilation, have higher DD-sick prevalence than CBPB systems (5.34%). Both approaches aim to reduce bacterial loads and curb DD spread. CBPB’s spacious, free-roaming environment reduces stress and improves immune function, making cows less prone to DD. A study found higher DD prevalence in CON systems compared to CBPB. Understanding how housing systems affect DD is crucial for improving management practices, enhancing cow welfare, and improving genetic selection.

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