title: Across-breed expected progeny differences: use of within-breed expected progeny differences to adjust breed evaluations for sire sampling and genetic trend.
abstract: Data on 2,034 F1 calves sired by Angus, Hereford, Polled Hereford, Charolais, Limousin, Simmental, Gelbvieh, and Tarentaise bulls with Hereford or Angus dams and data on 3,686 three-breed-cross calves with 700 F1 dams of the same breed crosses were used for this study. Traits analyzed were birth, weaning, yearling, and 420-d weights (BWT, WW, YW, and W420, respectively) of F1 calves and WW of three-breed-cross calves. Expected progeny differences from national cattle evaluation programs for sires of F1 calves and cows for BWT, WW, YW, and net maternal ability (milk) were used to assess their value in prediction of crossbred performance. Regressions of actual F1 calf performance on sire EPD were positive for BWT (1.09 +/- .12 kg/kg of BWT EPD), WW (.79 +/- .14 kg/kg of WW EPD), YW (1.44 +/- .16 kg/kg of YW EPD), and W420 (1.66 kg/kg of YW EPD). These regression coefficients were similar to the expected value of 1.0 for BWT and WW but were larger than expected for YW and W420. Regressions of actual three-breed-cross calf WW on milk and WW EPD of their maternal grandsires were .95 +/- .14 and .42 +/- .10 kg/kg, respectively, and differed little from their expectations of 1.0 and .5, respectively. Observed breed of sire means for each trait were adjusted for sire sampling by using EPD regressions to adjust them to the average EPD of all sires of each breed born in 1970.(ABSTRACT TRUNCATED AT 250 WORDS)
authors.affiliation: Dept. of Anim. Sci., Virginia Polytechnic Institute and State University, Blacksburg 24061.
authors.forename: D R
authors.initials: DR
authors.lastname: Notter
authors.forename: L V
authors.initials: LV
authors.lastname: Cundiff
mesh_terms: D000818:Animals; D001724:Birth Weight / Q000235:genetics; D001835:Body Weight / Q000235:genetics*; D001947:Breeding; D002417:Cattle / Q000235:genetics* / Q000254:growth & development / Q000502:physiology; D003433:Crosses, Genetic; D005260:Female; D007774:Lactation / Q000235:genetics*; D016018:Least-Squares Analysis; D008297:Male; D012044:Regression Analysis; D014886:Weaning