Computer finds efficient eaters

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Published: December 19, 2002

OLDS, Alta. – Cattle producers may soon be able to select cattle that

eat less feed without affecting growth or productivity.

For rancher Doug Havens of Madden, Alta., it’s research he can use.

“When hay is 12 cents a pound, that’s when you start thinking

efficiency,” Havens said after a presentation about the feed efficiency

trial at Olds College.

Now, when Havens buys a bull, the only clue to its efficiency is a

Record of Performance test number that measures the animal’s rate of

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gain. An ROP number doesn’t tell the producer which animal eats the

least and gains the most in a herd.

“I’m glad to see you’re doing this efficiency thing. It’s long

overdue,” said Havens, who believes a net efficiency number would help

him select animals that can save him money, especially when buying

animals at a bull sale. Net feed efficiency is moderately heritable.

In an earlier net feed efficiency trial, the most efficient steer ate

$45.69 less feed over a 120-day trial than the least efficient steer,

said Pat Ramsey, a beef specialist with Alberta Agriculture.

“We think it’s got fairly significant potential to improve the

profitability in the beef industry,” Ramsey said.

Net feed efficiency is the difference between an animal’s actual feed

intake and its expected feed requirements for maintenance and growth.

If the animal eats less than expected, it is a more efficient animal.

For example, if a steer averaged 1,000 lb. body weight over the last

120 days on feed and its average daily gain was 3.9 pounds per day, the

prediction would be the animal would eat 32 lb. per day over that

period. If the actual feed intake was 22 lb. per day, this would be 10

lb. per day less feed than expected and its net efficiency intake would

be Ð 10 lb. per day. Like a golf score, a negative number indicates a

more efficient animal.

“It’s possible to reduce feed intake without compromising performance,”

said Ramsey.

New technology has allowed researchers to measure the individual net

feed intake of each animal while the animals are still in a group.

Using a new weigh scale and computer software called GrowSafe,

researchers can monitor what each animal eats during the feeding trial.

Before, scientists would have to keep each animal in separate pens and

weigh the amount of feed put into the feed bunk and what was left over

to find out how much each animal ate. It was labour intensive and

inaccurate.

With the new system, an electronic ear tag sends detailed feeding

information back to a computer in a room at the college. The feed

trough is like a large tub on a weigh scale that measures how much feed

is in the bunk. Each time the animal puts its head through the head

gate to eat, a computer program measures how much the animal is eating,

how much time it spends at the feed bunk, if it pushes hard down into

the feed or if it nibbles at the feed.

John Basarab, a research scientist at Lacombe, Alta., said the new

feeding system has already dispelled the myth that cattle eat the same

amount each day.

Little bars on the computer screen show when and how much each animal

eats. A closer look at one animal showed a dramatic drop in feed intake

one day. Researchers know that was a snowy day when the cattle were

huddled against the windbreak for shelter and not spending time at the

feed bunk.

Another day, Ramsey dialed into the computer from his home in High

River, Alta., and noticed an animal wasn’t eating. He phoned the

college and asked the staff to check it out. They found that a Horned

Hereford bull was having trouble getting its horns through the narrow

head gate. The bull was eating but he’d learned to turn his head

sideways to eat and the ear with the electronic ear tag was outside the

head gate. The head gates were modified.

The computer has also proven its worth as an early detection system for

sick cattle. By watching feed intake researchers can usually spot sick

animals three or four days sooner than a pen checker walking through

the animals.

“This system can pick them earlier and more often,” Basarab said. “This

is a tool to allow us to see things we’ve never seen before.”

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