Threshold-linear analysis of measures of fertility in artificial insemination data and days to calving in beef cattle.
作者： K. A. Donoghue , R. Rekaya , J. K. Bertrand , I. Misztal
DOI: 10.2527/2004.824987X
关键词:
摘要: Mating and calving records for 47,533 first-calf heifers in Australian Angus herds were used to examine the relationship between days (DC) two measures of fertility AI data: 1) first insemination (CFI) 2) success (CS). Calving defined as binary traits. A threshold-linear Bayesian model was employed both analyses: DC CFI CS. Posterior means (SD) additive covariance corresponding genetic correlation -0.62 d (0.19 d) -0.66 (0.12), respectively. The point estimates CS -0.70 (0.14 -0.73 (0.06), These correlations indicate a strong, negative data. Selecting animals with shorter intervals genetically will lead correlated increases CFI. residual variance heritability DC-CFI analysis 23.5 d2 (4.1 d2), 363.2 (4.8 0.06 (0.01), parameter DC-CS very similar. additive, herd-year service sire 0.04 0.14 (0.16), 0.03 herd-year, 0.07 (0.07), similarity suggest that either trait could be measure However, definition allows identification not only record event, but calve their insemination, value this would even greater more complete dataset than study. magnitude CS-CFI it may possible use multitrait approach evaluation natural data, report one selection purposes.
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