Luo WeiZhen, Wang YaChun, Zhang Yuan
Department of Animal Genetics & Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100094, China.
Sci China C Life Sci. 2009 Mar;52(3):296-306. doi: 10.1007/s11427-009-0003-x. Epub 2009 Mar 18.
Advantages of breeding schemes using genetic marker information and/or multiple ovulation and embryo transfer (MOET) technology over the traditional approach were extensively evaluated through simulation. Milk yield was the trait of interest and QTL was the genetic marker utilized. Eight dairy cattle breeding scenarios were considered, i.e., traditional progeny testing breeding scheme (denoted as STANPT), GASPT scheme including a pre-selection of young bulls entering progeny testing based on their own QTL information, MOETPT scheme using MOET technology to generate young bulls and a selection of young bulls limited within the full-sib family, GAMOPT scheme adopting both QTL pre-selection and MOET technology, COMBPT scheme using a mixed linear model which considered QTL genotype instead of the BLUP model in GAMOPT, and three non-progeny testing schemes, i.e. the MOET, GAMO and COMB schemes, corresponding to MOETPT, GAMOPT and COMBPT with progeny testing being part of the system. Animals were selected based on their breeding value which was estimated under an animal model framework. Sequential selection over 17 years was performed in the simulations and 30 replicates were designed for each scenario. The influences of using QTL information and MOET technology on favorable QTL allele frequency, true breeding values, polygenetic breeding values and the accumulated genetic superiority were extensively evaluated, for five different populations including active sires, lactating cows, bull dams, bull sires, and young bulls. The results showed that the combined schemes significantly outperformed other approaches wherein accumulated true breeding value progressed. The difference between schemes exclusively using QTL information or MOET technology was not significant. The STANPT scheme was the least efficient among the 8 schemes. The schemes using MOET technology had a higher polygenetic response than others in the 17th year. The increases of frequency of the favorable QTL allele varied more greatly across the 3 male groups than in the lactating cows group. The accumulated genetic superiorities of the GASPT scheme, MOETPT scheme, GAMOPT scheme, COMBPT scheme, MOET scheme, GAMO scheme and COMB scheme over the STANPT scheme were 8.42%, 3.59%, 14.58%, 18.54%, 4.12%, 14.12%, 16.50% in active sires and 2.70%, 5.00%, 11.05%, 12.78%, 7.51%, 17.12%, 25.38% in lactating cows.
通过模拟广泛评估了使用遗传标记信息和/或多次排卵与胚胎移植(MOET)技术的育种方案相对于传统方法的优势。产奶量是目标性状,QTL是所利用的遗传标记。考虑了八种奶牛育种方案,即传统的后裔测定育种方案(记为STANPT)、GASPT方案(包括根据年轻公牛自身的QTL信息对进入后裔测定的公牛进行预选)、使用MOET技术产生年轻公牛并在全同胞家系内进行年轻公牛选择的MOETPT方案、采用QTL预选和MOET技术的GAMOPT方案、在GAMOPT中使用考虑QTL基因型的混合线性模型而非BLUP模型的COMBPT方案,以及三种非后裔测定方案,即MOET、GAMO和COMB方案,它们分别对应于包含后裔测定作为系统一部分的MOETPT、GAMOPT和COMBPT方案。根据动物模型框架下估计的育种值对动物进行选择。在模拟中进行了17年的顺序选择,每个方案设计了30次重复。针对包括现役种公牛、泌乳母牛、种公牛的母牛、种公牛的公牛和年轻公牛在内的五个不同群体,广泛评估了使用QTL信息和MOET技术对有利QTL等位基因频率、真实育种值、多基因育种值和累积遗传优势的影响。结果表明,组合方案显著优于其他真实育种值累积有所进展的方法。仅使用QTL信息或MOET技术的方案之间差异不显著。STANPT方案在这8种方案中效率最低。在第17年,使用MOET技术的方案比其他方案具有更高的多基因响应。有利QTL等位基因频率的增加在三个雄性群体中的变化比在泌乳母牛群体中更大。GASPT方案、MOETPT方案、GAMOPT方案、COMBPT方案、MOET方案、GAMO方案和COMB方案相对于STANPT方案在现役种公牛中的累积遗传优势分别为8.42%、3.59%、14.58%、18.54%、4.12% 、14.12%、16.50%,在泌乳母牛中的累积遗传优势分别为2.70%、5.00%、11.05%、12.78%、7.51%、17.12%、25.38%。