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

Citation
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
Citations number
29
Categorie Soggetti
Animal Sciences
Journal title
JOURNAL OF ANIMAL SCIENCE
ISSN journal
00218812 → ACNP
Volume
77
Issue
9
Year of publication
1999
Pages
2345 - 2351
Database
ISI
SICI code
0021-8812(199909)77:9<2345:PTSSBI>2.0.ZU;2-Y
Abstract
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.