Maximize Profitability with the Feed Barometer

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Regional Feed Barometer

With the wide variety of feedstuffs available and ever-changing market prices it can be hard to know which feedstuffs will give you the most bang for your buck. To help solve this dilemma BioZyme has created the Feed Barometer. This tool allows you to maximize the profitability of your feeding program by identifying feeds that provide the required nutrients at the best value.

Underlying BioZyme’s Feed Barometer is a software program, Sesame, which was designed by Dr. Normand St-Pierre and colleagues at the Ohio State University to evaluate multiple feed ingredients for a selected group of nutrients. In our Feed Barometer, we’ve chosen Crude Protein (CP), Net Energy for Gain (NEg) and effective fiber (eNDF) as the most important nutrients driving the feed ingredient value for beef cattle. Sesame uses multiple ingredients in the appraisal set to reflect current market conditions, thus avoiding the risk of basing evaluations on just a few ingredients. The results in Feed Barometer have been shown to be a robust assessment of the current value of feed ingredients.

To help explain the concept we can use the Peterson Method. The Peterson Method was a much simpler method of ingredient evaluation which used corn and soybean meal only as barometers of energy and protein. This method assumes corn and soybean meal are perfectly priced, and values only CP and energy:

For example, using the Peterson method:

Corn – $215/ton

NEg = 0.68 mcal/lb (as-fed basis)

In a ton of corn:

2000 lb * 0.68 mcal/lb = 1360 mcal NEg/ton of corn

($215/ton)/1360 mcal NEg/ton = $0.16/mcal of NEg

Now to estimate value of beet pulp

NEg = 0.35 mcal/lb (as-fed basis)

2000 lb * 0.35 mcal/lb = 700 mcal NEg/ton of beet pulp

700 mcal/ton * $0.16/mcal = $112/ton value based on energy alone

We hope that you will find the Feed Barometer useful and look forward to your feedback. For additional support with developing rations and feed testing please contact BioZyme Nutritionist, Susan Day, PHD.

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