控制近交和世代离散情况下多性状、多QTL的最优化选择

The Optimal Multiple Traits Selection for Multiple QTL with Discrete Generation and Control of Inbreeding

在世代离散的情形下,应用计算机随机模拟技术研究当候选个体的遗传贡献和施加给QTL的相对权重一起被最优化时,使用多性状、多QTL信息的QTL优化选择所能获得的潜在的额外遗传优势。用一个实际育种猪群的参数进行模拟,选择是直接针对窝产活仔数和达100 kg日龄进行,每个性状都有2个不同效应大小的QTL正在和相应的多基因一起分离。将优化QTL选择与标准QTL选择和常规BLUP选择进行比较发现,综合了遗传贡献优化和QTL相对权重优化的QTL优化选择在固定的近交速率下能增加更多的遗传反应,同时避免了短期和长期选择反应之间的矛盾。

In a discrete generation population, the potential extra genetic gain was studied while the genetic contribution of candidate and the relative weight given to QTL were optimized using the random computer simulation. In a simulated example of practical breeding population for pig, the number born alive （NBA） and days to 100 kg （D100） were selected, two QTLs of each trait were segregating together with polygenes across multiple generations. When compared with standard QTL or conventional BLUP selection, QTL optimized selection combined optimization for weights given to QTL and contributions of candidates substantially increased more selection response at a fixed rate of inbreeding, and avoided the conflict between short term and long term response.