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Bedhane M, Haile A, Dadi H, et al. Estimates of genetic and phenotypic parameters for growth traits in Arsi-Bale goat in Ethiopia[J]. Journal of Animal Sciences Advances, 2013, 3: 439-448.
1，摘要
數據類型
A total of 978 birth weights (Brwt), 642 weaning weights (Wnwt), 438 six month weights (Sixmwt) and 348 yearling weights (Ywt) traits were used.
固定效應影響較大
The least squares mean analyses were performed using the general linear model procedure of SAS to determine effects of fixed factors on the traits studied. Fixed effects were found to be important source of variation in this study. The overall least square means of Brwt, Wnwt, Sixmwt and Ywt, were 1.91, 6.65, 9.03 and 14.32kg, respectively.
不同性狀的遺傳力和母體效應遺傳力
The heritability estimates for Brwt, Wnwt, Sixmwt and Ywt under varied from 0.04 - 0.39, 0.02 - 0.08, 0.02 - 0.08 and 0.13 - 0.23, respectively and maternal genetic effect were 0.20 and 0.09, 0.07 and 0.03, 0.06 and 0.04, and 0.02 and 0.01, respectively.
性狀相關的利用價值
Genetic and phenotypic correlations between growth performance traits vary from medium to high. Therefore, it can be concluded that, the traits can be improved if selection could be based on the traits which has relatively high heritability value. Fixed effects are important and they should be included in the intended genetic improvement program of Arsi-Bale goat.
2，統計方法
1，用SAS的GLM模型評價固定效應的顯著性，并計算預測均值
2，用DFREML估算四種模型的方差組分、遺傳力和遺傳相關
- 第一種模型：加性效應
- 第二種模型：加性效應+母體效應
- 第三種模型：加性效應+永久環境效應
- 第四種模型：加性效應+母體效應+ 永久環境效應
3，分析結果
1，方差分析結果以及對預測均值的多重比較
方差分析結果：
多重比較結果：
2，四種模型的方差組分估計和遺傳力的計算
3，多性狀分析中遺傳相關和表型相關
4，如果用asreml-r分析
- 里面的所有分析都可以更容易的實現。
- SAS中的GLM模型，可以用R語言中的aov來代替。
- 多重比較，也可以由R語言完成。
- 文中的4中模型，asreml-r包可以輕松的完成。
