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Stallions - Harnesslink

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However, no system is perfect and there are a couple of matters that<br />

must be considered when using AEI figures to compare stallions.<br />

Cumulative AEI<br />

The top earner for a stallion can skew the result if they earn a<br />

considerable amount of the total prizemoney. Taking Pentire as an<br />

example, his top earner Xcellent earned approximately $590,000<br />

this season or around 40% of Pentire’s total. Working out Pentire’s<br />

AEI without including Xcellent it comes in at 3.69 – still more than<br />

three times the average of 1.00, but less than his season value of<br />

6.06.To get a result that is less dependent on any one individual, an<br />

AEI for a stallion is best taken over a longer period. In North America<br />

where this system was developed, a cumulative (or lifetime) AEI is<br />

calculated. The advantage of this is that the total pool of money<br />

and runners is larger, so the AEI figure becomes more accurate. Or<br />

put another way, the top-earning individual for a stallion becomes<br />

a smaller percentage of the total money earned. Taking Soviet Star<br />

as an example of seasonal variation, last season he was third on<br />

the AEI list with an AEI of 2.94 – largely due to Starcraft’s earnings<br />

during the Hawke’s Bay carnival. But this season his AEI is only<br />

0.63; less than average. Soviet Star’s AEI for the two seasons<br />

combined is 1.76. This seasonal variation highlights the need for<br />

lifetime figures for a stallion. A lifetime (cumulative) AEI figure evens<br />

out good and bad seasons for the stallion, while still valuing the<br />

dollars earned by the leading money-earner. As discussed above,<br />

because each season is taken as a separate pool, there is no impact<br />

of prizemoney inflation on the lifetime AEI figure.<br />

Mare Quality Opportunity<br />

Another major consideration is the mare quality opportunity that a<br />

stallion receives. The mare brings 50% of the pieces into the genetic<br />

puzzle and that is easily overlooked when assessing the value of<br />

a stallion. So how can we isolate the effect of the mare’s genetic<br />

contribution to establish an accurate measure of the stallion’s<br />

worth? A sire standing at a higher fee often attracts better mares,<br />

while the opposite is true for lesser valued stallions. How can we<br />

quantify the relative quality of the mares served by a stallion, so that<br />

we can objectively assess stallions on a “man-to-man” basis?<br />

Breeders often talk about whether a stallion upgrades his mares or<br />

not. Debate rages about stallions that receive what’s considered<br />

excellent great opportunities with quality mares, and then achieve<br />

a level of moderate success. The debate centres on whether a<br />

Group winner makes such a stallion successful, or whether he’s a<br />

failure for not living up to the quality of mares he served. Conversely,<br />

some stallions leave a decent percentage of good horses, but are<br />

overlooked in the marketplace, perhaps because of small crops,<br />

stud location or various other reasons. How do we easily find out if<br />

a stallion is improving the mares he serves, or if the mares sent to<br />

him are making his results better than they otherwise might be?<br />

Comparable Index (CI)<br />

The Americans overcame the problem of mare quality with the<br />

invention of the Comparable Index (CI). The purpose of the<br />

Comparable Index is to give a value to the quality of mares that<br />

visit a stallion. If a number can be produced that also has 1.00 as<br />

the average value then it can be compared directly to a stallion’s<br />

lifetime AEI. If the AEI is larger than the CI, then the stallion is<br />

an upgrading his mares. For example, Cape Cross is a sire who<br />

has some relevance for New Zealand breeders and has available<br />

figures online (courtesy of USA Bloodhorse magazine). His lifetime<br />

AEI (northern hemisphere) is 1.74, but his CI is 1.35. Hence, Cape<br />

16<br />

Cross has improved or upgraded his northern hemisphere mares.<br />

However, if the CI figure is larger than the AEI, then the stallion is<br />

performing worse than the mares sent to him have performed with<br />

other stallions. The key here is to calculate such a figure for the<br />

progeny of the mares sent to a stallion – but using only the progeny<br />

by other stallions. For example, Eight Carat left seven runners by<br />

Zabeel (2), Sticks and Stones, Sir Tristram (2), Gold and Ivory,<br />

Danzatore. To work out her contribution to Zabeel’s CI, you would do<br />

an AEI style calculation for her five runners that were not by Zabeel.<br />

The CI is calculated on the same basis as the AEI – but is more<br />

complicated to compute because the raw data is harder to compile.<br />

The end result, however, is a figure that has the same mechanism<br />

and allows direct comparison between a stallion’s AEI figure and<br />

his CI figure. Simply put, a stallion’s AEI is the performance of his<br />

own progeny, and his CI is the performance of his mares’ progeny<br />

by other stallions.<br />

Mare quality without CI data<br />

However, this information isn’t currently available in New Zealand,<br />

so breeders have to make judgement calls based on more informal<br />

calculations. For example, if a stallion stands at a certain fee level,<br />

say $20,000 or more, then it is assumed he’s had a decent mare<br />

opportunity. But as we don’t have CI figures available, breeders are<br />

forced to assume a level of mare quality. To assist with this, the<br />

American figures are: stallions who stood for $25,000 or more had<br />

an average CI of 2.53; stallions who stood between $10,000 and<br />

$25,000 had an average CI of 1.95; stallions who stood between<br />

$5,000 and $10,000 had an average CI of 1.63; and stallions who<br />

stood for less than $5,000 had an average CI of 0.89.<br />

Figures courtesy of USA Bloodhorse magazine.<br />

Creating AEI/CI for the Asia-Pacific region<br />

With the range of racing conditions and prizemoney available in the<br />

Asia-Pacific region, any system that is going to be used to evaluate a<br />

stallion’s lifetime record needs to be transferable between regions.<br />

Because the calculation of AEI is ratio-based, it copes with the<br />

problem of different average earnings per runner in different regions.<br />

Looking at the American system, they calculate AEI for three regions<br />

– North America, Europe and Japan. These are then combined into<br />

a single figure to produce an overall result for a stallion. The CI<br />

calculation is done on the same basis. It would be ideal for breeders<br />

if these figures could be produced for New Zealand, Australia and<br />

Asia (ie Hong Kong, Singapore etc).<br />

Conclusion<br />

The Average Earnings Index is another tool to help breeders make<br />

decisions. It is particularly useful for sorting out which stallions<br />

throw consistently good offspring and those who are high on the<br />

stallion’s table by sheer weight of progeny numbers. Because the<br />

figures are normalised (ie have an average of 1.00), both the AEI and<br />

CI indexes allow comparisons for a stallion regardless of region. By<br />

using a lifetime figure, this evens out good and bad seasons for a<br />

stallion, giving a more accurate result in the long term. Lifetime AEI<br />

and CI figures for stallions would show the relative merits of each<br />

stallion, and help New Zealand breeders to assess each stallion<br />

fairly. Not only will this show those stallions who have out-performed<br />

their mare opportunity, it will also reveal those stallions who have<br />

succeeded due to a high-quality mare opportunity, yet may not have<br />

lived up to it.<br />

© Renee Geelen & the NZTBA, 2006

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