VanRaden P M, Hoeschele I
Animal Improvement Programs Laboratory, United States Department of Agriculture, Beltsville, MD 20705-2350.
J Dairy Sci. 1991 Feb;74(2):570-9. doi: 10.3168/jds.S0022-0302(91)78204-0.
Inverses of relationship matrices are useful for prediction of individual additive or nonadditive genetic merits and for estimation of variance components. An algorithm to form inverses of additive by additive relationship matrices rapidly from lists of individuals and their parents was developed. The algorithm uses simple recurrences among additive by additive and sire-dam combination effects to construct inverses for noninbred or inbred populations. Dimensions of matrices produced may be several times the number of individuals in the population because combination effects for sire-dam subclasses must be included in matrices. Rules of inheritance of sire-dam combination effects are the same as for dominance combination effects. Cost of forming inverses increases linearly with number of individuals. Each individual contributes 36 or fewer nonzero coefficients, and each sire-dam subclass contributes an additional 81 or fewer nonzero coefficients to the matrix. Computation of inverse of the relationship matrix due to 1003 sires and maternal grandsires of 765,868 cows required forming a matrix of order 137,830 and 4 Mbytes of memory.
亲缘关系矩阵的逆矩阵对于预测个体的加性或非加性遗传价值以及估计方差分量很有用。开发了一种从个体及其亲本列表快速形成加性×加性亲缘关系矩阵逆矩阵的算法。该算法利用加性×加性和父本-母本组合效应之间的简单递推关系来构建非近交或近交群体的逆矩阵。由于父本-母本子类的组合效应必须包含在矩阵中,所产生矩阵的维度可能是群体中个体数量的几倍。父本-母本组合效应的遗传规则与显性组合效应相同。形成逆矩阵的成本随个体数量线性增加。每个个体对矩阵贡献36个或更少的非零系数,每个父本-母本子类对矩阵额外贡献81个或更少的非零系数。计算765,868头奶牛的1003个父本和外祖父本的亲缘关系矩阵的逆矩阵,需要形成一个137,830阶的矩阵和4兆字节的内存。