A COMPARISON OF RESTRICTED SELECTION INDEX AND LINEAR-PROGRAMMING IN SIRE SELECTION
A COMPARISON OF RESTRICTED SELECTION INDEX AND LINEAR-PROGRAMMING IN SIRE SELECTION
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DOI：
10.1007/bf00229497
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发表时间：
1992-07-01
影响因子：
5.4
通讯作者：
FAMULA, TR
中科院分区：
文献类型：
--
作者：
FAMULA, TR
限制选择指数的目标是增强一个性状的遗传变化，同时限制第二个性状的遗传变化为零。线性规划是另一种概念上不同的技术，用于最大化一个函数，同时对其他函数施加限制。本研究的目的是比较限制选择指数和线性规划的能力，以最大限度地提高性能在一个性状，而限制在第二个性状的变化为零。数值研究结果表明，线性规划是一个更有效的方法来限制相关响应比限制选择指数。平均而言，这两种方法都将相关性状的反应限制为零。然而，在限制性状的实际响应的平方偏差从零是较小的线性规划比限制选择指数。在非限制性性状的选择反应是更大的限制性选择指数比线性规划。
The objective of restricted selection index is to enhance genetic change in one trait while restricting to zero change in a second trait. Linear programming is another, yet conceptually different, technique to maximize one function while enforcing limits on others. The objective of this research was to compare restricted selection index and linear programming in ability to maximize performance in one trait while limiting change in a second trait to zero. Results of a numerical study demonstrate that linear programming is a more effective method to limit correlated response than restricted selection index. On average, both methods limited response in a correlated trait to zero. However, the squared deviation of actual response in the restricted trait from zero was smaller with linear programming than with restricted selection index. Response to selection in the unrestricted trait is greater with restricted selection index than with linear programming.