Determination of the effect of the dam age, birth type, and sex on growth curve traits of hair goat kids

Güler, Serdar; Çam, Mustafa; Atik, Ali

doi:10.1007/s11250-023-03785-z

Cited by 1 publication

(1 citation statement)

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“…Other studies have also reported variation in α , β and k values obtained by different non‐linear growth models when analysing weight–age data for different breeds of the same species. These findings suggest that estimation of parameters is affected by the specific model used, the number of parameters in the used models, birth type, interval of test day records used, the age taken last body weight record and animal species and breed under study (Bahreini Behzadi et al., 2014 ; Brown et al., 1976 ; Ghavi Hossein‐Zadeh & Golshani, 2016 ; Goliomytis et al., 2006 ; Güler et al., 2023 ).…”

Section: Discussionmentioning

confidence: 99%

The comparisons of non‐linear models to describe the growth performance of Lori‐Bakhtiari sheep

Foroutanifar,

Khaldari

2024

Veterinary Medicine & Sci

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BackgroundThe study of growth traits is of interest to many animal scientists, regardless of specialization, due to the economic importance of growth rate, mature weight and other related traits.ObjectiveThis study aimed to compare six non‐linear models for describing the growth of Lori‐Bakhtiari sheep.MethodsIn order to collect weight data, 85 lambs (41 males and 44 females) were reared from birth to 140 days of age, and their growth patterns were recorded by measuring their body weight at 10‐day intervals. Various mathematical functions, including the negative exponential, Brody, Gompertz, Logistic, Morgan–Mercer–Flodin (MMF) and Weibull, were used to model the relationship between body weight records and age.ResultsThe results showed that the MMF and Gompertz models provided the best fit to the body weight data, whereas the negative exponential model exhibited the worst fit. In all models, the asymptotic weight of male lambs was higher than females. The research also revealed differences in growth patterns between male and female lambs. Overall, females had a lower absolute growth rate than males, but they reached their peak growth at an earlier period, and their growth rate declined faster.ConclusionsThe differences in growth patterns between males and females indicate the importance of analysing male and female data separately when describing growth. As a result, Gompertz model can be recommended to Lori‐Bakhtiari female and male lamb breeders to determine more accurate growth traits. In addition, it should be considered that feeding male and female lambs separately according to absolute growth rate values may increase growth performance.

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