Friday, June 22, 2018

BIF 2018: How Does the Dairy Industry Handle Information?

Chuck Sattler
Vice President, Genetic Programs, Select Sires Inc.

Data is fuel for breed improvement programs. Data drives the machine. Noise in the data is like water in the fuel.

Data has value! However, individual records have very little data. We have to share data for it to achieve its value. "We are not good at investing in data. It's not sexy," Sattler said. We need to invest in data collection.

We need to share data thoughtfully. Have a written agreement and think strategically when sharing data.

Genomic evaluations are a big data success story! "We marvel at the technology that makes this all possible," he said. As much as it is a story about DNA technology, it is also a story about bring large amounts of data together. It is also a success of big data.

If we had to do it over again, dairy industry might re-think Dairy Recording Processing Centers. Dairy Recording Processing Centers control the data and sometimes the breeder's voice is not heard.

Stakeholders share data with Council Dairy Cattle Breeding, this is done guided by Material License Agreements. This shared data is used for national genetic evaluations. CDCB can share data but only with stakeholders permission.

Dairy used somatic cell score as an indirect measure of mastitis. In 2000, the genetic trend for mastitis reversed from a negative slope to a positive slope. They are now launching a direct mastitis genetic prediction that will help further reduce the incidence of mastitis.

Operations of CDCB funded by genomic evaluation user fees. Those that collaborate in providing data pay smaller genomic user fees.

Dairy industry is working on new ways of collecting data. They have become complacent and are looking for new opportunities.
One of the areas they need to improve is individual ID. Have to have unique IDs to make the data come together.
They are also working on how they use on-farm computer records in genetic evaluations. Zoetis lead the way in this by collecting data directly off the farm.

They also need to improve in harvesting and using data from automated data collection systems.


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