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Going Head To Head
A comparative analysis is the single, most powerful, farm and ranch management tool available. It's a tool that works especially well as a way to identify where beef farmers or ranchers should focus their management attention to increase profits.
Let's do a step-by-step comparison of one, beef-cow profit center's production facts with that of a set of benchmark herds.1 The production areas where the producer beats the benchmark herds suggest potential strengths in the beef cow herd. Production areas where the producer is beat by the benchmark herds suggest potential weaknesses in his beef cow herd.
The reason benchmark herds aren't used more by ranchers is because ranchers generally lack access to other producers' herd data. The published North Dakota IRM 1994 Database, which we'll refer to as the Northern Plains Benchmark Herds (NPBH), will serve as the benchmark herds in this article.
Two Northern Plains benchmark summaries are used in the production comparisons described below. The first is the average, along with the high and low values, for each benchmark factor. The second is the average of the low ⅓, middle ⅓ and high ⅓ herds grouped according to their unit cost of producing (UCOP) a hundredweight (cwt.) of calf.
Even producers with herds not located in the Northern Plains should find comparing their herd production to those of the NPBH useful.
| a. Number of cows that died | ______ | Head | ||||||
| b. Number of cows sold because of age | ______ | Head | ||||||
| c. Number of cows sold because of physical defects | ______ | Head | ||||||
| d. Number of cows sold because of poor fertility or open | ______ | Head | ||||||
| e. Number of cows sold because of inferior calves | ______ | Head | ||||||
| f. Number of cow sold for replacement stock | ______ | Head | ||||||
| g. Number of cows sold for unknown reasons | ______ | Head | ||||||
| Total Number Culled | ______ | Head | ||||||
| h. Total females Exposed To The Bull Two Seasons Ago | _____ | Head | ||||||
| h | ||||||||
| i. SPA Adjustment | = _____ | + _____ | + _____ | + _____ | + ______ | = _____ | Head | |
| b | c | e | f | g | i | |||
| j. Cows Purchased | _____ | Head | ||||||
| j | ||||||||
| k. Exposed/bred females sold | _____ | Head | ||||||
| k | ||||||||
| l. Net Adjustment to females exposed | _____ | Head | ||||||
| l=i-j+k | ||||||||
| m. SPA Adjusted Females Exposed | _____ | Head | ||||||
| h-1 | ||||||||
Keep in mind two key points when conducting this comparative analysis.
Your goal is to use these NPBH to identify your herd's potential production strengths and weaknesses. Once identified, these will serve as a guide to focused management attention.
While benchmark comparisons help producers identify weakness, they don't indicate how to reduce the weakness. It's up to the manager to determine that.
The National Integrated Resource Management Standardized Performance Analysis (IRM-SPA) Guidelines suggest that production efficiency should be measured by SPA Adjusted Females Exposed. This national guideline allows producers to adjust females exposed for:
- why cows were culled,
- for purchased female animals, and
- for the sale of breeding females.
Table 1 is designed to help producers determine their SPA Adjusted Females Exposed. While a producer's herd may fall outside the minimum or maximum size of the cow groups represented in Table 1, it isn't critical to this exercise.
| 36 | 166 | 480 |
| Low | Average | High |
Table 2 illustrates the range of herd size among the benchmark herds.
Pregnancy rate is based on the number of females checked pregnant divided by the SPA Adjusted Females Exposed. The equation to use is:
| ______________ ÷ | _____________ × 100 = | _________% |
| No. checked preg. | Adjusted SPA Females | Preg. PercentM |
Calculate your pregnancy percentage and compare your figure to the values in Table 3. Is your pregnancy rate a strength or weakness of your herd?
| 86% | 94% | 100% |
| Low | Average | High |
Calving Rate
Calving rate measures the number of females that had a live calf. Aborts are not included but stillbirths are. Stillbirths are also included in the calf death number. Calving rate is calculated with:
| _____________ ÷ | ____________ × 100 = | ________% |
| Cows Calving | SPA Adj. Females | Calving Rate |
Calculate your percent calf crop and compare to the values in Table 4.
| 82% | 94% | 100% |
| Low | Average | High |
Percent Calf Death Loss
Percent calf death loss is the one production measure not based on females exposed. Percent calf death loss is based on the number of calves born.
| 0% | 3% | 11% |
| Low | Average | High |
The formula is:
| ______________ ÷ | ______________ × 100 = | ___________ |
| No. Dead Calves | No. Calves Born | % Death Loss |
Calculate your herd's percent calf death loss and compare it to the benchmark values in Table 5.
| 76% | 92% | 100% |
| Low | Average | High |
Percent Calf Crop
The primary reproductive efficiency measure suggested by the IRM-SPA Guidelines is the number of live calves weaned based, once again, on the SPA Adjusted Females Exposed. The formula is:
| _______________ ÷ | ____________ × 100 = | ____________ |
| Live Calves Weaned | SPA Adjusted | Females Exposed |
Average Weaning Weight
Weaning weight is the most observed production indicator used by the cow-calf sector and is of significant economic importance. But weaning weight statistically explains only 20% of the UCOP variation among the Benchmark Herds.
For example, the weaning weight of the low-cost ⅓ of the herds averaged the highest at 614 lbs. The middle ⅓ averaged 554 lbs., and the high-cost ⅓ averaged 547 lbs. Post your herd's average against those in Tables 7a and 7b.
| 440 lbs. | 571 lbs. | 761 lbs. |
| Low | Average | High |
| 614 lbs. | 554 lbs. | 547 lbs. |
| Low Cost ⅓ | Middle Cost ⅓ | High Cost ⅓ |
Pounds Of Calf Weaned Per Female Exposed
A second critical measure of the production efficiency of a beef cow herd is pounds of calf weaned per female exposed. Our benchmark herds ranged from a low of 353 lbs./cow to a high of 751 lbs./cow with a 528-lb. average (Table 8a).
| 353 lbs. | 528 lbs. | 751 lbs. |
| Low | Average | High |
| 569 lbs. | 515 lbs. | 501 lbs. |
| Low Cost ⅓ | Middle Cost ⅓ | High Cost ⅓ |
Table 8b presents the average pounds weaned for the low ⅓, middle ⅓ and high ⅓ cost groups. Note that pounds weaned per female exposed goes down as UCOP goes up. This suggests that one key to lowering production costs is to increase pounds of live calf weaned per female exposed.
Strength/Weakness Summary
Now that you've completed your comparative production analysis, enter your herd's production values and the average benchmark values. Now, calculate your herd's percent of the benchmark values.
Production items with an index of more than 100 (100%), with the exception of percent calf death loss, are candidates for your herd's potential strengths. Those items with an index less than 100 are prime candidates to be your herd's weaknesses.
| Item | Your Value | Benchmark Value | % Of Bench |
|---|---|---|---|
| 1 SPA Adjusted Females Exposed | _____ | _____ | _____ |
| 2. Pregnancy Rate | _____ | _____ | _____ |
| 3. Calving Rate | _____ | _____ | _____ |
| 4. Percent Calf Death Loss | _____ | _____ | _____ |
| 5. Percent Calf Crop | _____ | _____ | _____ |
| 6. Average Weaning Weight | _____ | _____ | _____ |
| 7. Pounds Of Weaned Calf Produced Per Female Exposed |
_____ | _____ | _____ |
One Last Caution
There's no hard and fast rule for identifying your herd's strengths and weaknesses. The best approach is to have a perpetual inventory of herd performance records that are compared to contemporary herds. North Dakota's Cow Herd Analysis Performance System (CHAPS) is one such perpetual inventory and contemporary system, and is available in 20+ states.
But short of having your own production records, this article's worksheets may be your best alternative.
Another caution is that you, as the herd manager, must be the final decider of what constitute strengths and weaknesses in your herd. Unique circumstances can make your herd's performance logically differ from the benchmark herds. If so, then ignore the benchmark and use your own judgment.
In most cases, however, benchmark comparisons typically identify some strengths and weaknesses. Armed with this information, the astute beef cow manager can focus his management energy toward capitalizing on his herd's strengths while trying to reduce the weaknesses. When management energies are focused on facts and the analysis of these facts rather than perceptions, profits generally increase.
The key is to treat each profit center as a stand-alone business. Any forage fed should be charged to the beef-cow profit center at fair market value. Meanwhile, the forage profit center is credited with the market value of forage produced.
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