Determination of the genetic and non-genetic variations in growth curve of Zandi lambs by random regression models

Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
View: 350

This Paper With 10 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_KLST-6-2_007

تاریخ نمایه سازی: 12 خرداد 1398

Abstract:

The aim of this study was to model the variances and covariances of body weight in Zandi sheep from 60 to 365 days of age using random regression models (RRM). Legendre polynomials of different orders were used to model the direct and maternal covariances. Mean trends were also modeled through a quadratic regression on orthogonal polynomials of age. Homogeneity and heterogeneity of the residual variance were considered along the growth trajectory. Different models were compared by log-likelihood ratio test (LRT) and Akaike’s information criterion (AIC). Results showed that simple repeatability model in which orders of 1 were used for all random effects could not adequately model variations in growth curve of Zandi lambs. A RRM with Legendre polynomials of orders 3, 3, 3, and 3 for direct additive genetic, individual permanent environment, maternal additive genetic and maternal permanent environmental effects was selected as the most parsimonious model. The power of the parsimonious model decreased when maternal effects were excluded from the analysis, indicating the necessity of including maternal effects in the model for genetic evaluation of Zandi lambs. Considering the heterogeneity of residual variance along with the growth trajectory improved the overall properties of the model. Direct heritability (h2) decreased from 0.3 at 60 days of age to 0.15 at about 120 days and then increased with age gradually and reached 0.39 at 365 days of age. The individual permanent environmental effect (p2) decreased from 0.43 at 60 days of age to 0.23 at 180 days of age and fixed between 0.25 and 0.30 thereafter. Maternal heritability (m2) was 0.03 at 60 days of age, increased to a peak around 240 days of age (0.22) and decreased with age thereafter. The ratio of maternal permanent environmental variance to phenotypic variance (c2) was below 0.03 throughout the trajectory. Estimates of coefficients of variation (CV) revealed the presence of considerable genetic and environmental variability in growth curve of Zandi sheep which can be exploited for breeding purposes. Both direct and maternal correlations were positively high between adjacent weighs but decreased as the distance between ages increased.

Authors

F. Ghafouri-Kesbi

Department of Animal Science, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran.

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Akaike, H., 1973. Information theory and an extension of the ...
  • Albuquerque, L.G., Meyer, K., 2001. Estimates of covariance function for ...
  • Arango, J.R., Cundiff, L.V., Van Vleck, L.D., 2004. Covariance function ...
  • Bradford, G.E., 1972. The role of maternal effects in animal ...
  • Eskandarinasab, M.P., Ghafouri-Kesbi, F., Abbasi, M.A., 2010. Different models for ...
  • Fischer, T.M., van der Werf, J.H.J., Banks, R.G., Ball, A.J., ...
  • Ghafouri-Kesbi, F., Abbasi, M.A., Afraz, F., Babaei, M., Baneh, H., ...
  • Ghafouri-Kesbi, F., Eskandarinasab M.P., Shahir, M.H., 2008 Estimation of direct ...
  • Ghafouri-Kesbi, F., Gholizadeh, M. 2017. Genetic and phenotypic aspects of ...
  • Gholizadeh, M., Ghafouri-Kesbi, F., 2015. Quantifying direct and maternal effects ...
  • Henderson, Jr., C.R., 1982. Analysis of covariance in the mixed ...
  • Houle, D., 1992. Comparing evolvability and variability of quantitative traits. ...
  • Huisman, A.E., Veerkamp, R.F., van Arendonk, J.A.M., 2002. Genetic paerameters ...
  • Khodabakhshzadeh, R., Mohammadabadi, M.R., Esmailizadeh, A., Moradi Shahrebabak, H., Bordbar, ...
  • Kirkpatrick, M., Hill, W.G., Thompson, R., 1994. Estimating the covariance ...
  • Kruuk, L.E.B., Clutton-Brock, T.H., Slate, J., Pemberton, J.M., Brotherstone, S., ...
  • Lewis, R.M., Brotherston, S., 2002. A genetic evaluation of growth ...
  • Meyer, K. 2007. WOMBAT – a program for mixed model ...
  • Meyer, K., 1992. Variance components due to direct and maternal ...
  • Meyer, K., 1998. Estimating covariance functions for longitudinal data using ...
  • Meyer, K., 1999. Estimates of genetic and phenotypic covariance functions ...
  • Meyer, K., 2001. Estimates of direct and maternal covariance function ...
  • Meyer, K., 2004. Scope of random regression model in genetic ...
  • Meyer, K., 2005. Advance in methodology for random regression analyses. ...
  • Meyer, K., Hill, W.G., 1997. Estimation of genetic and phenotypic ...
  • Mohammadabadi, M.R., Sattayimokhtari, R., 2013. Estimation of (co) variance components ...
  • Mohammadi, M., Moradi Shahrebabak, M., Vatankhah, M., Moradi Shahrebabak, H., ...
  • Mokhtari, M.S., Rashidi, A., 2010. Genetic trends estimation for body ...
  • Rafat S.A., Namavar, P., Shodja, D.J., Janmohammadi, H., Khosroshahi, H.Z., ...
  • Genetic parameter estimates of body weight traits in Iran-Black sheep [مقاله ژورنالی]
  • Safaei, M., Fallah-Khair, A., Seyed-Sharifi, R., Haghbin Nazarpak, H., Sobhabi, ...
  • SAS., 2004. Users Guide version 9.1: Statistics. SAS Institute, Cary, ...
  • Sefidbakht, N., 2011. Future aspect of sustainable animal production in ...
  • Snyman, M.A., Erusmus, G.J., V,an Wyke, J.B., Olivier, J.J., 1995.  ...
  • Soufy, B., Mohammadabadi, M. R., Shojaeyan, K., Baghizadeh, A., Ferasaty, ...
  • Wilson A.J., Coltman, D.W., Pemberton, J.M., Overall, A.D.J., Byrne, K.A., ...
  • Zamani, P., Akhondi, M., Mohammadabadi, M.R. 2015. Associations of Inter-Simple ...
  • نمایش کامل مراجع