Selection indices for non-linear profit functions
Selection indices for non-linear profit functions
复制标题
非线性利润函数的选择指数
DOI：
--
复制
发表时间：
1983
影响因子：
5.4
通讯作者：
Michael E. Goddard
中科院分区：
文献类型：
--
作者：
Michael E. Goddard
传统的选择指数理论假设动物的总价值或收益是可测量性状的线性函数。然而，在许多情况下，优点可能是这些特征的非线性函数。在这种情况下，仍然可以使用线性选择指数，但最佳指数取决于所使用的选择强度和选择反应最大化的世代数。非线性选择指数已被建议，但这些结果在一个较低的选择反应比最好的线性指数。线性选择指数在过去的建议被证明是对应于一个非常小的选择响应的最佳线性指数，或在限制指数的情况下，一个非常大的选择响应。性状的经济价值可能取决于农民采取的管理决策。在这种情况下，经济价值的计算应该假设所采取的管理决策使利润最大化，考虑到动物的现有遗传价值。
SummaryConventional selection index theory assumes that the total merit or profitability of animals is a linear function of measurable traits. However, in many cases merit may be a non-linear function of these traits. A linear selection index can still be used in this situation but the optimum index depends on the selection intensity to be used and on the number of generation over which the selection response is to be maximized. Nonlinear selection indices have been suggested but these result in a lower selection response than the best linear index. Linear selection indices suggested in the past are shown to correspond to the optimum linear index for either a very small selection response or, in the case of restricted indices, a very large selection response. The economic value of a trait may depend on management decisions taken by the farmer. In this situation the economic values should be calculated assuming that the management decisions taken maximize profit given the present genetic value of the animals.