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Bending of Parameter Estimates from Non‐Orthogonal Data to Improve Genetic Gain Through Index Selection
Author(s) -
Jaiswal U. C.,
Jain J. P.,
Khanna A. S.,
Jaiswal U. C.
Publication year - 1992
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710340612
Subject(s) - selection (genetic algorithm) , sire , statistics , mathematics , covariance , index (typography) , variance (accounting) , genetic gain , bending , computer science , genetic variation , biology , genetics , engineering , structural engineering , artificial intelligence , zoology , accounting , world wide web , business , gene
The bending procedure for modification of the estimates of genetic and phenotypic variance‐covariance matrices in balanced data (HAYES and HILL, 1981) has been extended to non‐orthogonal data (unequal number of daughters per sire) and illustrated with the help of live data. Simulations conducted for different values of bending factor revealed that the expected genetic gain is improved significantly after modification of parameters.