This paper deals with the investigation of alternative selection strategies
for the Mutton Merino breed to improve lamb meat production and fertility.
A main topic is the application of ultrasonic scanning to evaluate the mea
t content on live animals. The aim of model calculations was the optimisati
on and comparison of five different selection strategies within three diffe
rent schemes of gene dissimation. First a basic scheme was defined and opti
mised (selection on field records, one-step selection, no scanning). It was
regarded as the reference scheme to which all other breeding systems were
related. The following schemes considered both, selection with and without
scanning. A second scheme, also based on field records, includes two-step s
election of rams (called improved field test scheme). In a third and fourth
scheme a level of uniform environment was assumed for ram progeny testing.
These are a central testing station on the one hand with slaughtering and
carcass evaluation on progeny, and one or more contract farms on the other
(without slaughtering). For a fifth selection scheme an open nucleus was as
sumed with ram progeny testing in associated test herds.
In a deterministic approach using the ZPLAN computer program, the monetary
genetic gain for the breeding objective (traits lambs weaned, litter weight
at weaning, postweaning daily gain and lean meat content) and the profit w
ere calculated for each scheme after optimisation of various biological-tec
hnical coefficients. The highest profit was achieved with a nucleus scheme
(DM 9,16). Due to low recording costs the basic scheme was second (DM 7,19)
and, because of high costs, the station scheme was last (DM 4,22). The oth
er two schemes were intermediate (DM 6,98 for the scheme with contract farm
s and DM 6,58 for the improved field test scheme). On an average over all s
chemes, scanning resulted in a 0,24 DM (i.e. almost 30 per cent) increase o
f the monetary genetic gain and a threefold higher genetic gain for lean me
at percentage. In all schemes scanning lead also to a higher profit because
the higher return of selection based on scanning exceeded the higher costs
.