Literature DB >> 15080321

Growth rate consists of baseline and systematic deviation components in Thoroughbreds.

W B Staniar1, D S Kronfeld, K H Treiber, R K Splan, P A Harris.   

Abstract

The objective of this study was to establish a procedure for differentiating a baseline curve from a systematic deviation in weight-age data, and hence to develop a physiological growth model for the Thoroughbred. A total of 2,698 records for 175 foals was obtained during a period of 8 yr (1994 to 2001). Weight-age data were fit with a sigmoid growth equation, W = A(1 + be(-kt))M, where W is BW at age t, A is the asymptotic value of W, b is a scaling parameter that defines the degree of maturity at t = 0, k is a rate constant, and M defines the point of inflection in the sigmoid curve in relation to age. Short-term systematic deviations in the weight-age data were identified by a goodness-of-fit procedure and illustrated in three-dimensional contour plots of the sigmoid equation parameters as they changed upon removal of selected subsets of the data. Based on features of the contour plots, a negative deviation between 210 and 420 d of age was set aside, with the remaining data establishing the baseline data set. The sigmoid growth equation was fit to the baseline data set using a nonlinear mixed model with repeated measures, and indicated a mature weight of 542 +/- 6.2 kg reached at 7 yr. The systematic deviation identified in this weight-age data set is present in other published Thoroughbred growth data and is likely to result in erroneous parameter estimates if not set aside before fitting sigmoid growth equations to the thus-modified weight-age data set. The techniques developed in this study enable identification of short-term systematic deviations in weight-age data and define a realistic baseline growth curve. Differentiation of these two components enables the development of a physiological model of growth that distinguishes between baseline growth and environmental influences, represented respectively, by the baseline curve and the systematic deviation.

Mesh:

Year:  2004        PMID: 15080321     DOI: 10.2527/2004.8241007x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  4 in total

1.  Seasonal fluctuations in body weight during growth of Thoroughbred racehorses during their athletic career.

Authors:  Yuji Takahashi; Toshiyuki Takahashi
Journal:  BMC Vet Res       Date:  2017-08-18       Impact factor: 2.741

2.  Empirical Growth Curve Estimation Using Sigmoid Sub-functions that Adjust Seasonal Compensatory Growth for Male Body Weight of Thoroughbred Horses.

Authors:  Tomoaki Onoda; Ryuta Yamamoto; Kyohei Sawamura; Yoshinobu Inoue; Akira Matsui; Takeshi Miyake; Nobuhiro Hirai
Journal:  J Equine Sci       Date:  2011-07-20

3.  Empirical Percentile Growth Curves with Z-scores Considering Seasonal Compensatory Growths for Japanese Thoroughbred Horses.

Authors:  Tomoaki Onoda; Ryuta Yamamoto; Kyohei Sawamura; Harutaka Murase; Yasuo Nambo; Yoshinobu Inoue; Akira Matsui; Takeshi Miyake; Nobuhiro Hirai
Journal:  J Equine Sci       Date:  2013-12-27

4.  An approach of estimating individual growth curves for young thoroughbred horses based on their birthdays.

Authors:  Tomoaki Onoda; Ryuta Yamamoto; Kyohei Sawamura; Harutaka Murase; Yasuo Nambo; Yoshinobu Inoue; Akira Matsui; Takeshi Miyake; Nobuhiro Hirai
Journal:  J Equine Sci       Date:  2014-06-25
  4 in total

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