Genetic variability of semen characteristics in Japanese Black bulls

Semen characteristics were collected from proven sires of Kagoshima prefecture. A total of 18,704 ejaculation records between February 1994 and February 2008 obtained from 118 bulls were used for analysis. Traits analyzed were volume per ejaculate (VOL, ml), sperm concentration (CON, ×108/ml), number of sperm per ejaculate (NUM, ×108) and sperm motility (MOT, %). Variance components were estimated by restricted maximum likelihood procedure under univariate repeatability animal model. Heritabilities were generally low and estimated to be 0.11 for VOL, 0.05 for CON, 0.09 for NUM, and 0.15 for MOT. Despite the low heritabilities, large variations and high accuracies were observed in predicted breeding values of bulls. Breeding values of MOT ranged from -11.6 to 9.0%, and of NUM indicated standard deviation of 7.3×108. These variations can be used to change semen traits genetically.

[1]  S. Fujiwara,et al.  Number of calves produced at specified age as a measure of reproductive performance in beef cattle under artificially-inseminated breeding scheme. , 2009 .

[2]  P. Waldmann,et al.  Comparison of REML and Gibbs sampling estimates of multi-trait genetic parameters in Scots pine , 2006, Theoretical and Applied Genetics.

[3]  T. Geary,et al.  Genetic parameter estimates for scrotal circumference and semen characteristics of Line 1 Hereford bulls. , 2006, Journal of animal science.

[4]  H. Iwaisaki,et al.  An Expression for Average Information Matrix for a Mixed Linear Multi-Component of Variance Model and REML Iteration Equations , 1999 .

[5]  G. de Jong,et al.  The relationship between the number of spermatozoa inseminated and the reproductive efficiency of individual dairy bulls. , 1998, Journal of dairy science.

[6]  Robin Thompson,et al.  Restricted Maximum Likelihood Estimation of Variance Components for Univariate Animal Models Using Sparse Matrix Techniques and Average Information , 1995 .

[7]  C. Morris,et al.  A note on genetic correlations between pubertal traits of males or females and lifetime pregnancy rate in beef cattle , 1994 .

[8]  E. B. Burnside,et al.  Genetic parameter estimates of conformation and performance traits in station-tested Limousin bulls , 1994 .

[9]  I. Misztal,et al.  Property of Trace in Restricted Maximum Likelihood Estimation of Variance Components , 1990 .

[10]  J. S. Brinks,et al.  Estimation of genetic parameters among breeding soundness examination components and growth traits in yearling bulls. , 1989, Journal of animal science.

[11]  D. Gianola,et al.  Estimates of heritabilities and of genetic and phenotypic correlations among growth and reproductive traits in yearling Angus bulls. , 1984, Journal of animal science.

[12]  A. de Kruif Factors influencing the fertility of a cattle population. , 1978, Journal of reproduction and fertility.

[13]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[14]  D. C. Cunningham,et al.  Reproductive Capacity of Beef Bulls. I. Postpuberal Changes in Semen Production at Different Ejaculation Frequencies , 1967 .