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Mammalian Biology

, Volume 93, Issue 1, pp 5–12 | Cite as

Modeling the growth curves for body weight and some biometrie traits in Caspian horses (Equusferus caballus) using non-linear mixed models

  • Navid Ghavi Hossein-ZadehEmail author
  • Ahmad Ghorbani
Original investigation
  • 1 Downloads

Abstract

In order to describe the growth curves of live body weight (BW), body length (BL), height at withers (HW) and hearth girth (HG) in Caspian horses, six non-linear mixed growth models (Brody, LogistiC., Gompertz, Schumacher, Von Bertalanffy and Negative exponential) were used. The data set comprised 129 records of BW and biométrie traits (made up of 54 for males and 75 for female horses) which were measured weekly from birth to 32 weeks of age in the premises of the Animal Science Department, Agricultural and Natural Resources Research Center of Guilan, Rasht, Iran. Each model was fitted to weekly records of horses using the non-linear mixed model procedure (PROC NLMIXED) in SAS and the parameters were estimated. The mixed models were tested for goodness of fit using Akaike’s information criterion (AIC), Bayesian information criterion (BIC), log maximum likelihood (-2 Log L) and residual variance (of). The Brody function was selected as the best model for fitting the growth curve of BW, BL and WL in females and all horses. Although, the Brody model was the best model for fitting the growth curve of HG in females and all horses, but Logistic function was the best function for fitting the growth curve for this trait in male horses. The results of this study can aim planning farm management strategies and decision making just by viewing the growth curve of horses. The non-linear mixed models were adequate for fitting growth curves of body weight and biométrie characters in Caspian horses.

Keywords

Body measures Caspian horse Foal Growth model Mixed model 

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Copyright information

© Deutsche Gesellschaft für Säugetierkunde 2018

Authors and Affiliations

  1. 1.Department of Animal Science, Faculty of Agricultural SciencesUniversity ofCuiianRashtIran
  2. 2.Guilan Agricultural and Natural Resources Education and Research CenterRashtIran

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