DOI QR코드

DOI QR Code

Study on the Optimum Range of Weight-Age Data for Estimation of Growth Curve Parameters of Hanwoo

한우의 체중 성장곡선 모수 추정을 위한 체중 측정 자료의 최적 범위에 관한 연구

  • Published : 2002.04.30

Abstract

Mature weight (A) and rate of maturing (k) estimated by nonlinear regression were studied to determine the optimum age range over which the estimate of growth curve parameters can be estimated. The weight-age data from 1,133 Hanwoo bulls at Hanwoo Improvement Center of N.A.C.F. were used to fit the growth curve using Gompertz model. All available weight data from birth to the specific age of months were used for the estimation of parameters: the six specific ages used were 12, 14, 16, 18, 20 22 and 24 months of age. The mean estimates of mature weight (A) were 966.5, 1,255.9, 1,126.2, 916.5, 842.2, 780.9 and 767.0kg for ages 12 through 24 months, respectively. The mean estimates of mature weight (A) to 22 and 24 months of age were not different from each other. However, they were different from the estimates based on the data to other ages. Mean estimates of rate of maturing (k) were 3.362, 3.595, 3.536, 3.421, 3.403, 3.409 and 3.411 for ages 12 through 24 months, respectively. The mean estimates of maturing rate (k) for ages 18 through 24 months of age were not significantly different from each other. However, they were different from the estimates based on the data to other ages. Correlations among estimates of A at various ages showed the highest value of 0.93 between 22 and 24 months. Correlations among estimates of k at various ages were highest ranging from 0.91 to 0.99 among 18 to 24 months. The correlations between A and k were positive and tended to decrease with the increase of the age from 0.84 for the age of 12 months to 0.10 for the age of 24 months. Thus, the estimates of growth curve parameters, A and k, suitable for genetic studies can be derived from accumulated Hanwoo bulls after 22 months of age.

Keywords

Hanwoo;Age;Weight;Growth curve parameters

References

  1. Brody, S. 1945. Bioenergetics and growth. Reinhold Pub. Crop., N.Y.
  2. Brown, J. E., Brown, C. J. and Butts, W. T. 1972. A discussion of the genetic aspects of weight, mature weight and rate of maturing in Hereford and Angus cattle. J. Anim. Sci. 34:525.
  3. Brown, J. E., Fitzhugh, Jr., H. A. and Cartwright, T. C. 1976. A comparison of nonlinear models for describing weight-age relationship in cattle. J. Anim. Sci. 42:810.
  4. Draper, N. R. and Smith, H. 1981. 'Nonlinear growth models' In : Applied regression analysis (2nd Ed.). John Wiley & Sons, New York. p. 505-513.
  5. Joandet, G. E. 1967. Growth patterns and efficiency of TDN utilization in beef cattle. Ph.D. dissertation. Texas A&M University, College Station.
  6. Joandet, G. E. and Cartwright, T. C. 1969. Estimation of efficiency of beef production. J. Anim. Sci. 29:862.
  7. Morrow, R. E., McLaren, J. B. and Butts, W. T. 1978. Effect of age on estimates of bovine growth-curve parameters. J. Anim. Sci. 47(2):352- 357.
  8. SAS. 1990. SAS/STAT User’s guide. Vol. 2. SAS Institute Inc., Cary, NC., USA.
  9. Winsor, C. R. 1932. The Gompertz curve as a growth curve. Proc. Natl. Acad. Sci. 18:1.
  10. Fitzhugh, H. A. Jr., Cartwright, T. C. and Temple, R. S. 1967. Genetic and environmental factors affecting weight of beef cows. J. Anim. Sci. 26:991.
  11. 김내수, 주종철, 이득환. 1996. 한우의 체계분석을 위한 성장 곡선 모수의 추정. 한국축산학회지 38(2):119-124.

Cited by

  1. Estimation of Growth Curve Parameters for Evaluation of Withers Height Growth Characteristics of Holstein Heifers in Republic of Korea vol.52, pp.4, 2018, https://doi.org/10.14397/jals.2018.52.4.73