MARKER ASSISTED SELECTION USING BEST LINEAR UNBIASED PREDICTION
MARKER ASSISTED SELECTION USING BEST LINEAR UNBIASED PREDICTION
复制标题
DOI：
10.1051/gse:19890407
复制
发表时间：
1989-01-01
影响因子：
4.1
通讯作者：
GROSSMAN, M
中科院分区：
文献类型：
--
作者：
FERNANDO, RL;GROSSMAN, M
将差拍线性无偏预测（BLUP）应用于一个市场数量性状基因座（MQTL）等位基因加性效应和其余数量性状基因座（QTL）等位基因加性效应的混合线性模型。提出了一种递推算法来求出QTL等位基因效应的协方差矩阵。给出了求其逆的一种简单方法。该方法允许使用已知的关系和表型及标记信息同时评估固定效应、QTL等位基因的效应以及其余QTL的等位基因的效应。该方法是足够的一般性，以适应个人的部分或没有标记信息。扩展的方法BLUP与多个标记进行了讨论。
Beat linear unbiased prediction (BLUP) is applied to a mixed linear model with additive effects for alleles at a market quantitative trait locus (MQTL) and additive effects for alleles at the remaining quantitative trait loci (QTL). A recursive algorithm is developed to obtain the covariance matrix of the effects of MQTL alleles. A simple method is presented to obtain its inverse. This approach allows simultaneous evaluation of fixed effects, effects of MQTL alleles, and effects of alleles at the remaining QTLs, using known relationships and phenotypic and marker information. The approach is sufficiently general to accommodate individuals with partial or no marker information. Extension of the approach to BLUP with multiple markers is discussed.