Farmers Proudly Support Research to Battle Infectious Diseases in Dairy Cattle

The Natural Sciences and Engineering Research Council announced this week their support of an Industrial Research Chair in Infectious Diseases in Dairy Cattle led by Dr. Herman Barkema of the University of Calgary. Dairy Farmers of Canada is a proud investor in this research over the next five years, providing $50,000/year annually to the total $1.8 million industry/government partnership.

“We know that Johne’s disease and mastitis have significant impacts on dairy cattle farm productivity. They are two of the most economically important diseases affecting the industry,” says Herman Barkema, the new research chair. “Through our research, we will improve the control of these infectious diseases and reduce the limiting effects they have on the productivity of the Canadian dairy industry. Improved management of mastitis and Johne’s disease would be a significant step forward for the industry.”

Herman-Barkema-300.jpgDr. Barkema, a professor in epidemiology of infectious diseases with the Department of Production Animal Health and jointly appointed in the Department of Community Health Services of the Cumming School of Medicine is well-known to the industry for his extensive work in the areas of Johne’s and Mastitis.

The outcomes of the research will result in numerous benefits to dairy farmers as work will proceed to develop treatment strategies and prevention methods to fight economically crippling diseases like Mastitis and Johne’s on farms. The economic losses due to mastitis exceed $400 million a year in Canada and there is an estimated $90 million loss annually as a result of Johne’s.

The five year research award is funded jointly by NSERC and partner organizations: Alberta Milk, Dairy Farmers of Canada, Westgen, Dairy Farmers of Manitoba, CanWest DHI, BC Dairy Association and the Canadian Dairy Network.

Producer response exceeded National Dairy Study expectations

When asked to provide feedback for the focus of the upcoming National Dairy Study, over 600 dairy producers from across the country responded. This study is the first of its kind to take place in Canada and will be similar in scope to the United States’ National Animal Health Monitoring System (NAHMS) dairy study. However, to ensure that the Canadian study reflects the needs of Canadian producers a call for feedback went out to all dairy stakeholders in the country.

Over an eight week period, starting in March 2014, producers, government personnel, and other allied industries (ex. veterinarians and nutritionists) were asked to complete a 10-minute on-line survey. In total, over 1000 responses were received, with 58% of the respondents being dairy producers.


In the survey, participants were asked to prioritize a number of management and health concerns that were important to the sustainability of the industry. Once the data were analyzed, the top five issues for each stakeholder group were identified.

Management Concerns:


Health Concerns:


It is reassuring to see that all groups have the same first priority, and that there are many overlapping areas of concern. These results are invaluable. They have provided major areas of focus for the study as it moves forward. The next step will be to consult with experts in these respective fields to narrow these general areas down to specific questions and ensure there is no overlap with other ongoing projects across the country.

This needs assessment helped ensure the upcoming study will be relevant to Canadian producers and the industry by getting input directly from the major stakeholders. It has also raised awareness and support for the next phase of the study.

Heifer Genomics and Lactation Performance: Are They Related?

Over the past few years, we’ve seen many examples of the benefits of genomics on the sire
side. Quantifying the advantages of genomic selection on the female side has been slower,
primarily due to the cautious adoption of the technology at the herd level. Of the registered
Holstein heifers born in Canada in 2013, less than 5% were genotyped. On the other hand, CDN
projections show that uptake could increase to surpass the 18% mark by year 2020.

With genomic testing, producers have the opportunity to improve the genetic potential of their
herd and decrease costs. This can be done by capitalizing on the herd’s best genetics through
the use of sexed semen, flushing or IVF, or by selling the bottom end, breeding them with beef
semen or using them as recipients.

Genomic Tested Heifers and First Lactation Performance

Does a heifer’s first genomic prediction provide enough information about future performance to
allow confidence in selection and culling decisions at an early age? To answer this question, we
examined three Canadian commercial herds that extensively genotyped heifers born in 2011.
These animals were chosen since they have had the chance to complete their first lactation and
be type classified.

Graph 1 compares the first genomic evaluation for milk yield (GPA Milk) after being genotyped
as a heifer calf to the subsequent first lactation 305-day milk production. In total, the chart
includes 305 cows born in 2011 from the three herds. Average 305-day milk yield was highest
for Herd A, followed by Herd B, and was the lowest for Herd C. In general, within all three herds,
the higher the GPA Milk as a heifer calf, the higher the first lactation 305-day milk yield as a cow.
This clearly demonstrates the usefulness of genomic evaluations for heifers as a tool for
identifying the animals that will perform better in your herd as a cow.



Graph 1 also shows the equations for predicting the first lactation 305-day milk yield in kilograms
based on the genomic evaluation as a heifer. While the prediction is not perfect, on average 1 kg
increase in GPA Milk resulted in a first lactation milk yield gain of 1.2 to 1.5 kg, depending on the
herd. This exceeds the expectation of one kg milk yield per one kg of GPA Milk and presumably
results from appropriate management in each herd. The actual yield per kg GPA Milk can be
used to gauge whether the management level in a given herd is fully taking advantage of the
herd’s genetic potential. If the management level wasn’t taking full advantage of the herd’s
genetic potential, we’d expect the actual ratio of milk yield to GPA Milk to be less than one.

GPA LPI and First Lactation Performance

Is a higher genomic evaluation as a heifer calf associated with better first lactation performance?
To answer this question the three herds studied above were analyzed separately and their data
was subsequently combined to create Table 1. In total, 284 animals with a lactation and
classification in first lactation were included in the analysis. These animals were divided into
four groups of 71 cows based on their genomic evaluation for LPI as a heifer (GPA LPI). Table 1
compares the actual first lactation performance for production and type for the highest versus
the lowest 25% of these animals based on GPA LPI.

The heifers that ranked within the top 25% for GPA LPI in their herd performed better in first
lactation on nearly all accounts relative to the bottom quartile. As cows, the heifers that were in
the top quartile for GPA LPI produced more milk, fat and protein, and scored higher at first
classification for final score, mammary system and feet & legs than those in the bottom quartile.
Categorizing heifers into the top and bottom quartiles based on their genomic LPI resulted in no
significant difference in the average somatic cell count as cows in first lactation.

Table 1: Average first lactation performance for the top and bottom 25% for GPA LPI as a heifer



What Does This Tell Us?

These findings validate that heifer calf genomic evaluations can be an indicator of future
performance. In addition, they confirm that genotyping heifer calves at a young age can provide
producers with useful information for making selection and culling decisions. Lastly, these results
show that genomic LPI values for heifers can be used as primary selection criteria as they are
related to first lactation performance for both production and conformation traits.

Authors: Lynsay Beavers and Brian Van Doormaal
Date: May 2014

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