| Genetic analysis for growth and milk production traits of Iranian Adani goats by multiple trait and random regression models |
| Paper ID : 1052-WDG2017 |
| Authors: |
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mohammad sadegh yazdanshenas *1, Rasoul vaez torshizi2, Nasser Emam jome kashan3, Mehdi amin afshar3 1Bushehr - vali asr street - agricultural jahad organization of Bushesh province - animal dept 2Department of Animal Science, Tarbiat Modares University, Tehran, Iran 3Department of Animal Science, Science and Research Branch, Islamic azad University of Tehran, Tehran, Iran. |
| Abstract: |
| Genetic parameters of growth and milk traits of Adani goats were estimated by different Random Regression models. Based on different orders of polynomial Legendre, 26 random regression models were used for growth and 4 models for milk traits. Akaike information criteria and Bayesian information criteria were used for comparison between different random regression models. Results showed that the model with third regression for direct additive genetic effects, quadratic regression for permanent environmental effects and linear regression for direct additive genetic and maternal permanent environmental effect was the most appropriate model for the analysis of growth traits. In random regression model, heritability estimates ranged from 0.11 to 0.37 and highest in weaning age. Genetic correlation between growth traits ranged from 0.28 to 0.84 and was the highest between weaning and 3-months weight. For milk yield, model with third regression for direct additive genetic and permanent environment was the best. Heritability estimates in the best random regression model ranged from 0.15 to 0.36. Genetic correlation between TD records varied and ranged from 0.47 to 0.97. Genetic correlations between adjacent records were high decreased as the interval between tests increased. Phenotypic correlations followed a similar pattern but were lower than the corresponding genetic correlation. Breeding value for milk and growth traits based on multi traits and random regression models were predicted and animal were ranked based on their breeding values and then Pearson correlation and Spearman rank correlation between models were estimated. Results showed that correlations for both traits were moderate and significant. |
| Keywords: |
| Genetic parameters, Growth traits, Test day, Random regression model, Adani goat |
| Status : Abstract Accepted (Poster Presentation) |
