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The Milk House

A.I. company hand-picked its preferred activity monitor system PDF Print E-mail
5 Votes
Dairy basics - A.I. and Breeding
Written by PD Editor Dario Martinez   
Tuesday, 06 December 2011 16:14

1811pd_martinez_system_1What factors can cause a demand for change and development of new technology? In the past, public opinion and the lack of new technology have led to improvements and innovations in the livestock industry.

The main driver for the creation of Select Detect was this exactly – the need for a reproduction management alternative.

Lyle Kruse, vice president of U.S. market development at Select Sires, explains that at a long-range planning meeting in 2008, the company’s board of directors challenged its staff to find alternatives to estrous synchronization in dairy cattle reproduction.

This was mainly because, at that time, hormone use in livestock had fallen under scrutiny, causing the use of one specific growth hormone to be limited.

“The concern was what would happen to A.I. usage if the same limitation was placed on reproductive hormones,” Kruse says. “Even though we know that this threat is not eminent, the question remains in the back of our mind.”

Finding the right system
Staff members, including Dr. Ray Nebel, vice president of technical services at Select Sires, set out to look at the different automated heat detection systems available and provide producers with another option in the reproductive management of their herds.

“We looked at several systems including Dairymaster’s MooMonitor when we were investigating alternatives and decided to contact them,” Kruse says.

Dairymaster, an Irish-based company, had developed their heat detection system in 2005. Select Sires became interested in the technology behind the system.

The two companies reached a marketing arrangement and in October of 2010, Select Sires launched the product in North America as Select Detect.

This PC-based activity monitoring system boils down to precise math and science. Kruse explains that the product developers placed the monitors on the cow’s neck and tracked the activity collected by an accelerometer and compared those same movements with video sensing.

“They used video imagery to record the various movements of a cow and determine exactly which ones they wanted the monitors to measure,” Kruse says. “This filtered out extraneous movements that wouldn’t help detect high activity.”

The activity monitors use accelerometer technology to track activity using fine-tuned mathematical equations that were configured based on the video imagery and activity comparison.

The accelerometers are also capable of measuring acceleration and gravity-induced reaction forces, or g-forces, in three dimensions.

“The accelerometer is measuring activity very accurately and internally with a significant number of proprietary algorithms, making it a precise measurement to detect high and low activity,” Kruse says.

Collar maintenance
Kruse points out that the monitor fits snugly on the neck of the cow to remove any extra motion from the collar being too loose. A counterweight also helps keep the monitor properly centered on the neck of the cow.

Once the collars are placed, the producer will need to wait approximately one week for the cow’s routine activity to build her activity baseline. After that, the producer will be able to start using the activity measurements from the monitors.

The collars transmit data via radio transmission to base stations when they are approximately within 300 feet of the station in a clear line of sight.

Kruse notes that a challenge may arise when steel building components interfere with the radio transmission of data from the monitors to the base station. However, he explains that this can be overcome by adding another base station to the installation if needed.

Once the data reaches the base station, it will send a signal to the communications interface box, which is wired directly to the computer. The communications interface box then transfers the information to the system’s software program.

“This product is very user-defined,” Kruse says. “The producer can define how often he wants to upload the monitor’s information, which ranges from every hour to every four hours.”

Kruse points out that this specific system works well in confinement and grazing settings because it was developed in a grazing environment, which he says is one of the most difficult environments to determine high-activity cows from normal movement.

In freestall operations, the base station is usually mounted in the freestall barn. In grazing operations, the base station would be placed in the holding area so that information downloads during milking.

Monitoring event lists
Five different event lists can be generated within the program including active cows, expected heats and low-activity cows.

Kruse defines active cows as those cows that are above their activity threshold. Expected heats are cows that were recorded in the system with a heat 19 to 23 days prior to that day. He points out that these cows aren’t necessarily in heat – they are cows that have a potential return heat based on a normal cycle.

“Our producers with Select Detect can go through that expected heat list, look at a cow’s daily activity to see if she has a spike but didn’t cross the threshold,” Kruse says.

Low-activity cows are cows that have spent a significant amount of time below the low-activity threshold, which Kruse explains can also be defined by the user but is typically 50 to 60 percent of the cow’s normal activity.

“These would be cows that could have mastitis, foot problems or some other health-related problems and would not spend a lot of time moving around,” Kruse says.

Additional options
Kruse explains that the producer can shuffle through the different lists within the software to find the list of cows he needs. The activity information on a cow is presented in a daily and hourly format.

“We call this precision reproductive management because in reality this gives the owner-user a chance to customize how to make this program work for his goals,” Kruse says.

Kruse does point out that a producer should buy enough collars for about 40 percent of his herd, which will allow for the collars to be rotated from one cow to another.

“Unless you’re very seasonal in your calving, this should provide you with enough collars to move through the system from cows confirmed pregnant to cows entering the breeding pen,” Kruse says.

Moving forward
In October, Select Sires and Dairymaster released a mobile application of the Select Detect program, which is optimized for use on an iPhone, iPod Touch, iPad and Android-based phones.

This is currently the only system that has a mobile application available in the marketplace and is available to all Select Detect users as part of the system’s package.

Basically, the mobile application allows dairy producers to monitor their herd’s data without the need of having to sit in front of a desktop computer.

The data is gathered and refreshed on an hourly basis. If a producer lives off-site, he can simply pull up a list of cows that need to be bred before he leaves his home.

With more than 150 systems currently installed in North America, Kruse says Select Sires aims to continue this trend and help dairymen get more cows pregnant.

“We’re not selling this system as the only option, but it’s definitely a good one if you want to catch a lot more cows at the right time,” Kruse says.  PD

PHOTO:
TOP RIGHT: Producers with Select Detect can go through the expected heat list and look at an individual cow’s daily activity to see if she has a spike but didn’t cross the preset threshold. Photos courtesy of Select Sires.

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Dario Martinez

Assistant Editor
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