Two-stage selection index has been made up for the bulls of Czech Pied
cattle. Each trait of selection index and of the aggregate genotype p
articipates in the level of genetic gain to a larger or smaller extent
, and this determines its importance. This paper is a follow-up of the
article written by Kratochvilova et al. (1994). The calculation was b
ased on the paper by Cunningham (1977), which describes computer progr
am SELIND for calculation of two-stage selection indexes, as well as r
elationships for calculation of the importance of the traits in select
ion index, correlations between the traits in the aggregate genotype a
nd selection index, and percentage of i-th trait with respect to total
genetic gain. The results in Tab. III show dial a decrease in the gen
etic gain from selection would be largest if these traits of selection
index for 1st and 2nd stage of selection were omitted: 1st stage weig
ht gain during test weight gain from birth to selection 2nd stage weig
ht gain during lest milk production Tab. IV shows mutual correlations
between the traits Y in the aggregated genotype and selection indexes.
It is apparent from the calculated correlations that in the 1st stage
there is a high positive correlation between index and weight gain (r
= 0.68) and a high negative correlation (r = -0.61) between index and
feed conversion. In the 2nd stage there was a marked increase in the
correlations between index and genotype traits. The highest positive c
orrelation was found between index and cow weight (r = 0.61), between
index and weight gain (r = 0.56) while the highest negative correlatio
n was between index and feed conversion (r = -0.54). It follows from t
he above data that when the values of selection index am increasing, t
hose traits of the aggregate genotype are increasing which are in posi
tive correlation with the index, and on the contrary the values of the
traits with negative correlations in the genotype are decreasing whil
e the index value is rising. The only traits that cannot be influenced
are those with al most zero correlations with the index. They am repr
oductive figures, length of cow efficiency and mastitis. Bat these tra
its can also influence some productive traits to a certain extent on t
he basis of positive correlations, therefore they have their economic
value, ensuing importance in the aggregate genotype and selection inde
x. Determination of the percentual sham of each i-th trait in the tota
l genetic gain (Tab. V) shows that this percentage was highest in the
first stage in feed conversion (39.02%), followed by the percentage of
main lean cuts (22.75%) and weight gain (20.84%). On the other hand i
n the 2nd stage milk amount (50.63%) and feed conversion (24.55%) had
the highest percentages showing their participation in the total genet
ic gain.