Ka. Weigel et Sw. Lin, Use of computerized mate selection programs to control inbreeding of Holstein and Jersey cattle in the next generation, J DAIRY SCI, 83(4), 2000, pp. 822-828
The expected role of computerized mate selection programs with regard to in
breeding and lifetime profitability of Holstein and Jersey cattle was exami
ned using data from 25 large registered herds of each breed. Sire selection
and mate allocation were carried out using linear programming with the fol
lowing objectives: 1) minimum inbreeding, 2) maximum net merit subject to a
fixed inbreeding threshold, and 3) maximum expected lifetime profit after
adjustment for inbreeding depression. Inbreeding of actual matings was simi
lar to inbreeding from random matings, indicating that current inbreeding a
voidance programs in these herds are ineffective. Inbreeding was reduced by
1.6 and 1.9% in Holsteins and Jerseys, respectively, when a mate allocatio
n program was applied with service sires and usage levels fixed at the actu
al values. Benefits of mate selection programs increased when both sire sel
ection and mate pair allocation were considered. Maximization of mean net m
erit with inbreeding restricted to a fixed level (5% in Holsteins and 8% in
Jerseys) led to decreases in inbreeding of 0.9 and 1.4% and increases in l
ifetime profit of $16.66 and $26.86 in Holsteins and Jerseys, respectively,
relative to programs that ignored inbreeding. Maximization of mean expecte
d lifetime profit after adjustment for inbreeding depression decreased inbr
eeding by 1.8 and 2.8% and increased lifetime profit by $37.37 and $59.77 i
n Holsteins and Jerseys, respectively. Inbreeding coefficients estimated wi
th pedigree traced to 1985 were inadequate predictors of inbreeding coeffic
ients estimated with pedigrees traced to 1960. Mate selection programs cann
ot function optimally unless extensive historical pedigree data are availab
le, particularly for service sires. Computerized mate selection programs ca
n reduce inbreeding in the next generation, which will lead to an increase
in farm profitability. However, if genetic diversity is to be maintained in
the long term, procedures for selecting parents of AI sires must also be c
onsidered.