Progeny testing sires selected by independent culling levels for below-average birth weight and high yearling weight or by mass selection for high yearling weight
Md. Macneil et al., Progeny testing sires selected by independent culling levels for below-average birth weight and high yearling weight or by mass selection for high yearling weight, J ANIM SCI, 77(9), 1999, pp. 2345-2351
Breeding values of sires resulting from selection either for reduced birth
weight and increased yearling weight (YB, n = 8) or for increased yearling
weight alone (YW, n = 9) were compared with each other and with sires repre
sentative of the population before selection began (BS, n = 12) using proge
ny testing. Reference sires (n = 6) connected these Line 1 sires with the H
ereford international genetic evaluation. Thirty-five sires produced 525 pr
ogeny that were evaluated through weaning. After weaning, 225 steer progeny
were individually fed, slaughtered, and carcass data collected. Data were
analyzed using restricted maximum likelihood procedures for multiple traits
to estimate breeding values for traits measured on the top-cross progeny w
hile simultaneously accounting for selection of the sires. Results of the p
rogeny test substantiate within-line results for traits upon which sires we
re selected. Breeding values for gestation length were greater in YB sires
than in YW sires and were unchanged relative to BS sires. Breeding values f
or growth rate and feed intake for the YB and YW sires were greater than fo
r BS sires. Predicted breeding values for indicators of fat deposition tend
ed to be greater in YB sires and less in YW sires relative to BS sires, alt
hough YB and YW sires had similar breeding values for marbling score. Selec
tion based on easily and routinely measured growth traits, although achievi
ng the intended direct responses, may not favorably affect all components o
f production efficiency. Further, divergence of selection lines may not be
easily anticipated from preexisting parameter estimates, particularly when
selection is based on more than one trait.