DOI QR코드

DOI QR Code

Growth Curves Fitting for Body Weight and Backfat Thickness of Swine by Sex

성별에 따른 돼지 체중 및 등지방두께 성장곡선 추정

  • Published : 2008.06.30

Abstract

The purpose of this study was to establish proper shipping weight and backfat thickness by applying the growth model to backfat thickness, measured by means of not only body weight, but also ultrasonography, and predicting the changes by age. Three breeds, i.e. Duroc, Landrace, and Yorkshie, were analyzed, and the Gompertz, logistic, and Von Bertalanffy model were used for inference with the parameter of the growth model being sex. As a result, both body weight and backfat thickness showed different growth curve parameters and characteristics at inflection points depending on model selection and sex. As for backfat thickness, in estimating the inflection point, unlike the case of body weight, the inflection ages of the boars of the Duroc breed was earlier than that of sows, whereas the inflection ages of the sows of the Landrace and Yorkshire breeds was earlier than that of boars. More than anything else, in the analysis of the changes in backfat thickness according to body weight, as the body weight reached 145kg, the backfat thickness showed much variation as great as 1.7-3.2 cm in each breed and sex. In addition, unlike the other breeds, the boars of the Landrace breed showed an exponential type of relationship between body weight and backfat thickness. As they grow to become 100 kg or heavier, abrupt change in back fat thickness was confirmed. If the growth of body weight and backfat thickness is understood and the genetic relationship is taken advantage of like this, it would be possible to set desired body weight and backfat thickness, and thus help effectively set the shipping time. If not only the phenotype, but also genetic parameters about growth characteristics are estimated and analyzed additionally, more effective data can be generated.

Keywords

References

  1. Bertalanffy, L. von. (1957) Quantitative laws for metabolism and growth. Quart. Rev. Biol. 32, 217-232 https://doi.org/10.1086/401873
  2. Black, J. L., Campbell, R. G., Williams, I. H., James, K. J., and Davies, G. T. (1986) Simulation of energy and amino acid utilization in the pig. Res. Dev. Agri. 3, 121-145
  3. Bridges, T. C., Turner, L. W., Smith, E. M., Stahly, T. S., and Loewer, O. J. (1986) A mathematical procedure for estimation animal growth and body composition. Trans. Am. Assoc. Agri. Eng. 35, 1019-1028
  4. Brody, S. (1945) Bioenergetics and growth. Rheinhold Pbubliching, New York
  5. Brown, J. E., Fitzhugh, H. A. Jr., and Cartwright, T. C. (1976) Acomparison of nonlinear models for describing weight-age relationship in cattle. J. Anim. Sci. 34, 525
  6. Campbell, R. G. and Taverner, M. R. (1988) Genotype and sex effects on the relationship between energy intake and protein deposition in growing pigs. J. Anim. Sci. 66, 676-686 https://doi.org/10.2527/jas1988.663676x
  7. Cho, Y. M., Choi, B. H., Kim, J. T. H., Lee, W., Lee, J. E., Oh, S. J., and Cheong, I. C. (2004) A study on estimation of individual growth curve parameters and their relationships with meat quality traits of crossbred between Korean native boars and landrace sows. J. Anim. Sci. Tech. (Kor.) 46, 503-508 https://doi.org/10.5187/JAST.2004.46.4.503
  8. Cho, Y. M., Yoon, H. B., Lee, Y. C., Seo, K. S., Kim, S. D., and Park, Y. I. (2001) A study on growth characteristics of Korean native pig (KNP) and Landrace using individual growth curve parameters. J. Anim. Sci. Tech. (Kor.) 43, 817-822
  9. Choi, T. J. 2006. A study on estimation of growth curve and correlation between body weight, measurements and carcass traits in Hanwoo (Bos Taurus Coreanae). Master thesis, Chonbuk National University, pp. 73-74
  10. France, J., Dijksta, J., Thornley, J. H. M., and Dhanoa, M. S. (1996) A simple but flexible growth function. Growth Dev. Aging 60, 71-83
  11. Gompertz, B. (1825) On nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Phil. Trans. R. Soc. 115, 513-585 https://doi.org/10.1098/rstl.1825.0026
  12. Hill, A. V. (1913) The combinations of haemoglobin with oxygen and with carbon monoxide. Biochemistry 7, 472-480 https://doi.org/10.1021/bi00841a059
  13. Janoschek, A. (1957) Das reaktionskinetische grundgesetz und seine beziehungen zum wachs-tums- und ertragsgesetz. Stat. Vjschr 10, 25-37
  14. Lee, I. J. (2001) Estimation of genetic parameters of economic traits for two different final weights of the test and measuring modes and growth curve parameters in swine. A doctor's thesis, Seoul National University, pp. 51-63
  15. Lopez, S., France, J., Gerrits, W. J., Dhanoa, M. S., Humphries, D. J., and Dijkstra, J. (2000) A generalized Michaelis-Menton equation for the analysis of growth. J. Anim. Sci. 78, 1816-1828
  16. Moore, A. J. (1985) A mathematical equation for animal growth from embryo to adult. Anim. Prod. 40, 441-453 https://doi.org/10.1017/S0003356100040137
  17. Parks, J. R. (1965) Prediction and entropy of half-tone pictures. Behav. Sci. 10, 436-445 https://doi.org/10.1002/bs.3830100407
  18. Robertson, T. B. (1908) On the normal rate of growth of an individual and its biochemical significance. Arch. Entwicklungsmechanik Org. 25, 581-614 https://doi.org/10.1007/BF02163864
  19. Richards, F. J. (1959) A flexible growth function for empirical use. J. Exp. Bot. 10, 290-300 https://doi.org/10.1093/jxb/10.2.290
  20. Schinckel, A. P. (1994) Nutrient requirement of modern pig genotypes. In: Recent Advances in Animal Nutrition. Garnsworthy, P. C. and Cole, D. J. A. (eds), University of Nottingham Press, Nottingham., pp. 133
  21. Wan, X., Zhong, W., and Wang, M. (1998) New flexible growth function and its application to the growth of small mammals. Growth Dev. Aging 62, 27-31
  22. Wellock, I. J., Emmans, G. C., and Kyriazakis, I. (2004) Describing and predicting potential growth in the pig. Anim. Sci. 78, 379-388