Browse > Article
http://dx.doi.org/10.5713/ajas.2003.1239

Trends in Heritability of Daily Milk Yield by Periods in Korean Cattle  

Choi, J.G. (Daekwanryeong Branch, National Livestock Research Institute)
Jeon, K.J. (Daekwanryeong Branch, National Livestock Research Institute)
Na, K.J. (Daekwanryeong Branch, National Livestock Research Institute)
Lee, C.W. (Daekwanryeong Branch, National Livestock Research Institute)
Kim, J.B. (Division of Animal Resource Science, Kangwon National University)
Lee, C. (Daekwanryeong Branch, National Livestock Research Institute)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.16, no.9, 2003 , pp. 1239-1241 More about this Journal
Abstract
Korean cattle breeders have shown interest in genetic improvement of milking ability because poor milking ability and short suckling period of Korean cattle is a hindrance to growth of calves. In this study, daily milk yields by period in Korean cattle were analyzed with an animal model. The milk yields were actually measured at sequential intervals from 1 to 4 months after calving: daily milk yields from delivery to 1 month (DMY1), from 1 to 2 months (DMY2), from 2 to 3 months (DMY3), and from 3 to 4 months (DMY4). Genetic variance estimates gradually increased by the periods while environmental variance estimates gradually decreased. This resulted in a dramatic increase in the heritability by periods: 0.02 for DMY1, 0.11 for DMY2, 0.16 for DMY3, and 0.42 for DMY4. In multi-trait analyses with daily milk yield and body weight of calf, genetic correlation estimates between milk yield and body weight were quite small (-0.08 to 0.02 for birth weight and -0.10 to 0.00 for weaning weight). The trends of the heritability estimated in this study showed that the genetic effects were more influential when the milking period was longer, suggesting genetic evaluations with daily milk yield collected at a longer period.
Keywords
Genetic Correlation; Milking; Variance Components;
Citations & Related Records

Times Cited By Web Of Science : 2  (Related Records In Web of Science)
Times Cited By SCOPUS : 2
연도 인용수 순위
1 Choi, J. G. 2001. Genetic characteristics of body weight by growth periods for Hanwoo. Ph.D. Thesis, Kangwon National University, Chuncheon, Korea. (In Korean)
2 Freking, B. A. and D. M. Marshall. 1992. Interrelationships of heifer milk production and other biological traits with production efficiency to weaning. J. Anim. Sci. 70:646-655.   DOI
3 Kim, J. B. and C. Lee. 2000. Historical look at the genetic improvement in Korean cattle (Review). Asian-Aust. J. Anim. Sci. 13:1467-1481.   DOI
4 Lee, C. and E. J. Pollak. 2002. Genetic antagonism between body weight and milk production in beef cattle. J. Anim. Sci. 80:316-321.   DOI
5 Miller, S. P. and J. W. Wilton. 1999. Genetic relationships among direct and maternal components of milk yield and maternal weaning gain in a multibreed beef herd. J. Anim. Sci. 77:1155-1161.   DOI
6 Bauman, D. E. and W. B. Currie. 1980. Partitioning of nutrients during pregnancy and lactation: A review of mechanisms involving homeostasis and homeorhesis. J. Dairy Sci. 63:1514-1529.   DOI   ScienceOn
7 Boldman, K. G., L. A. Kriese, L. D. Van Vleck, C. P. Van Tassell and S. D. Kachman. 1995. A manual for use of MTDFREML. A set of programs to obtain estimates of variance and covariance [draft]. U.S. Department of Agriculture, Agricultural Research Service.
8 Lee, C. 2002. On the negative estimates of direct and maternal genetic correlation. Asian-Aust. J. Anim. Sci. 15:1222-1226.
9 Fan, L. Q., J. W. Wilton and P. E. Colucci. 1996. Genetic parameters for feed intake and efficiency in lactating beef cows. Can. J. Anim. Sci. 76:81-87.   DOI   ScienceOn
10 Diaz, C., D. R. Notter and W. E. Beal. 1992. Relationship between milk expected progeny differences of polled Hereford sires and actual milk production of their crossbred daughters. J. Anim. Sci. 70:396-402.   DOI
11 Lee, C., E. J. Pollak, R. W. Everett and C. E. McCulloch. 1995. Multiplicative factors for estimation of daily milk and component yields from single morning or afternoon tests. J. Dairy Sci. 78:221-235.   DOI   ScienceOn
12 Searle, S. R. 1982. Matrix algebra useful for Statistics. John Wiley & Sons, New York.
13 Meyer, K., M. J. Carrick and B. J. P. Donnelly. 1994. Genetic parameters for milk production of Australian beef cows and weaning weight of their calves. J. Anim. Sci. 72:1155-1165.   DOI
14 Miller, S. P., J. W. Wilton and W. C. Pfeiffer. 1999. Effects of milk yield on biological efficiency and profit of beef production from birth to slaughter. J. Anim. Sci. 77:344-352.   DOI