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肉牛杂交优势预测、评估及其应用研究
引用本文:孙少华,桑润滋,贾青,李运起,李雪梅,田树军,师守,高聚山,闫国志,丁玉臣,黄亚新.肉牛杂交优势预测、评估及其应用研究[J].遗传学报,2000,27(7):580-589.
作者姓名:孙少华  桑润滋  贾青  李运起  李雪梅  田树军  师守  高聚山  闫国志  丁玉臣  黄亚新
作者单位:1. 河北农业大学动物科技学院,保定 071001
2. 中国农业大学动物科技学院,北京 100094
3. 赞皇县畜牧局,赞皇县 051230
4. 丰宁县畜牧局,丰宁县 068350
5. 隆化县畜牧局,隆化县 068150
6. 抚宁县畜牧局,抚宁县 066300
基金项目:国家“九五”重中之重“肉牛”项目(96-003-03-11)及河北省自然基金项目(398092)资助
摘    要:利用微卫星标记技术分析了8个肉 要交样本群体的遗传结构和遗传变异,预测了要种优势。在此基础上肉牛发校组合的实际杂交效果利用个体动物模型进行了评估,并提出了筛选最优杂交组合的分子数量遗传学综合评选新方法。其最优杂交组合的评选结果为,在丰宁、隆化代表区域,以海伏特、利木赞和夏洛来为父本的组合最好;在赞皇代表区域,以利木赞、安格斯和海伏特为父本的组合最好,在抚宁代表区域,以海伏特、利木赞和皮埃蒙特为父本

关 键 词:肉牛  微卫星DNA  群体遗传变异  杂种优势
文章编号:0379-172(2000)07-580-0
修稿时间:1999年9月13日

Prediction and Evaluation of Heterosis of Beef Cattle and Their Application
SUN Shao-Hua,SANG Run-zi,JIA Qing,LI Yun-Qi,LI Xue-Mei,TIAN Shu-jun,SHI Shou-Kun,GAO Ju-Shan,YAN Guo-zhi,DING YU-Chen,HUANG Ya-xin.Prediction and Evaluation of Heterosis of Beef Cattle and Their Application[J].Journal of Genetics and Genomics,2000,27(7):580-589.
Authors:SUN Shao-Hua  SANG Run-zi  JIA Qing  LI Yun-Qi  LI Xue-Mei  TIAN Shu-jun  SHI Shou-Kun  GAO Ju-Shan  YAN Guo-zhi  DING YU-Chen  HUANG Ya-xin
Abstract:The genetic structure and genetic variation of eight beef cattle cross parents populations were analyzed by six microsatellite loci, and heterosis of beef cattle was predicted. On the basis of microsatellite analysis, the effect of 18 cross combinations was estimated by the method of individual animal model BLUP. A new method of molecular quantitative genetics that select best of all cross combination was submitted. The results showed that the combinations with Hereford Limousin and Charolais as paternal parent are better than others in Fengning and Longhua regions; the combinations with Limousin Angus and Hereford as patemal parent are better than others in Zanhuang regions, the combinations with Hereford Limousin and Piemontese as paternal parent are better than others in Funing regions. Effect of three breeds cross is better than two breeds.
Keywords:beef catlle  microsatellite  genetic variation  heterosis  individual animal model
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