Knowledge of saleable meat yield (SMY%) at the time of carcass classificati
on enables payments to be made on the basis of carcass saleable meat conten
t. This study determined the extent to which improved accuracy of estimatin
g SMY% enabled larger premiums to be paid for better yielding carcasses. A
population of 1000 carcasses was simulated for true SMY% values (275 kg car
cass weight; mean SMY% of 66 with a standard deviation of 3.0) as well as e
stimated SMY% values when accuracies in terms of residual standard deviatio
n (RSDs) ranged from 0 to 2.5. A consequence of the requirement that estima
tes of SMY% be unbiased was that variability of the estimates was less than
that of the true SMY% when estimation was imperfect. Premiums that could b
e paid to the top 5% of carcasses relative to the average increased by 5.8,
9.2, and 9.7 c kg(-1) as the RSD decreased from 2.5 to 1.0 for five-step,
eight-step, and smooth payment systems, respectively. The rate at which pot
ential premiums increased with decreases in RSD values was low at high leve
ls of accuracy (RSD values below about 1.0). The potential premiums for the
top 5% were highest for the smooth payment system with an advantage over t
he five-step system of 24% at an RSD of 1.0 and 28% at an RSD of 2.0, but t
he size of the advantage varied with the proportion of carcasses considered
. It is concluded that the benefits that may be derived from using a smooth
payment system rather than a stepwise system will often be more easily att
ained than those from improving the accuracy of estimating SMY% and may be
as great.