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Optimal selection method for establishing an inbred strain of laboratory animals with high performance for litter size at weaning
Author(s) -
SATOH Masahiro,
ISHII Kazuo
Publication year - 2008
Publication title -
animal science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 38
eISSN - 1740-0929
pISSN - 1344-3941
DOI - 10.1111/j.1740-0929.2008.00511.x
Subject(s) - selection (genetic algorithm) , litter , inbred strain , biology , best linear unbiased prediction , mating , strain (injury) , population , weaning , statistics , trait , pig breeding , zoology , microbiology and biotechnology , genetics , mathematics , computer science , agronomy , gene , artificial intelligence , demography , anatomy , sociology , programming language
The optimal selection method was investigated for establishing an inbred strain of laboratory animals with high performance for litter size at weaning (LSW). A Monte Carlo computer simulation was used to assess the effects of our selection methods on the genetic change of LSW under the continuous use of full‐sib mating for 20 generations. Smaller number of growing animals of each sex per litter and genetic evaluation for selection using a BLUP animal model increased LSW. Use of information on another trait genetically related to LSW, larger population size, and greater number of generations for random selection before starting full‐sib mating were useful for establishing an inbred strain of laboratory animals with high performance for LSW. It was concluded that LSW can be increased by directional selection when establishing inbred strains.