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Improve Body Condition Scores
To Improve Pregnancy, Weaning and Profits
By Jason E. Sawyer, Ph.D., Texas A&M University

In a group of 100 cows, a
one percent increase in pregnancy rate equals one more pregnant cow. It
might be worth your while to pencil out how much that one percent
increase might improve your bottom line; if you need to improve the body
condition scores (BCS) of your breeding-age females to get that one
percent increase; and if the more pounds of calf weaned will pay for the
cost of those improvements.
Body condition and pregnancy
On average, increasing a breeding-age female’s body condition score (BCS)
from 3 to 4 and from 4 to 5 make the greatest changes in pregnancy rate
and weaning weight. We don’t seem to see significant improvement in
production when shifting from BCS 5 to 6 (Table
1).
In our example 100-cow herd, if we improve body condition enough to
increase the pregnancy rate by one percent, then we’ll get one more
pregnant cow.
However, we must expect
some normal herd-wide losses, such as five percent loss between
pregnancy and birth, and another five percent loss from calving to
weaning. On a whole-herd basis, this means our one percent pregnancy
increase will provide us a .9 percent increase in weaning rate.
Let’s estimate the average
weaning weight is 500 pounds. At the time of this writing, it was safe
to say 500-pound calves were selling at $120 per hundred pounds.
That extra 9/10ths of a
calf added to our 100-cow herd will provide an additional $540 in
revenue for the herd, or $5.40 per breeding-age female.
Using $5.40 as a
reasonable estimate for the increased revenue per cow due to a one
percent improvement in pregnancy rate, then we see how improving body
condition scores can affect income in
Table 2.
Body condition and
weaning
Weaning weight is influenced by calf age differences and growth rate,
presumably due to changes in milk output or available forage. Cows in
lower condition conceive later in the breeding season and their calves
are younger at weaning.
Body condition differences should be evaluated on a pay weight basis
rather than an age-adjusted basis to account for this effect.
Absolute productivity at a
body condition score varies substantially due to factors such as
environment, breed and timing of evaluation. Based on weighted average
calf prices for May 2006, the value of 350 to 550 more pounds of weaning
weight was approximately $.70 per pound.
Multiply those extra
pounds by the extra value and we can determine how many dollars the
extra weaning weight generates. This incorporates the slide in price
with increasing pay weight (Table 2).
Add the value of the
increased pregnancy rate to the value of the increased weaning weight
and we have an estimate of the revenue increase from improving body
condition score.
If we improve from BCS 3
to 4, we estimate $141 increased revenue per cow; from BCS 4 to 5, $117
per cow; and $55 to change from BCE 5 to 6.
If the cost to improve the
condition of your breeding-age females - more or better feed - is less
than the revenue increase, then improving body condition scores is a
profitable decision.
How much feed will it take to improve BCS?
Table 3 shows the energy, expressed in megacalories of maintenance
energy (Mcal NEm), required to change condition for different size cows,
referring to their average weight at BCS 5. A megacalorie is one million
calories.
If a 1,200-pound cow is
observed to be BCS 6, but two months later has gone down to BCS 5,
decide if you will maintain the cow at that level.
The female lost a
condition score because she lost the equivalent of 266 megacalories (Mcal)
of energy over the 60-day period. She is deficient by 4.4 Mcal per day.
A supplement that provides
this amount of energy can correct the deficiency. Using a purchased
supplement with 0.9 Mcal per pound Ñ about 82 percent total digestible
nutrients (TDN) Ñ approximately 4.8 pounds per day must be fed.
As long as the cost of
providing this supplement is less than $117 per head, which is the cost
of the cow dropping to BCS 4, this should be a profitable decision.
These comparisons can be used to budget feed expenditures and make sure
that feed dollars are invested wisely.
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