J. Anim Sci.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

J. Anim Sci. 1970. 31:1065-1073.
© 1970 American Society of Animal Science
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kemp, K. E.
Right arrow Articles by Magee, W. T.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Kemp, K. E.
Right arrow Articles by Magee, W. T.

Evaluation of a Breeding Plan for Swine by Monte Carlo Simulation

K. E. Kemp1 and W. T. Magee

Michigan State University, East Lansing2, 3,

Abstract

THE rate of genetic improvement in a population is largely determined by the breeding plan that is used. Considering the cost and long generation intervals involved in large domestic animals, it would be very difficult to over-emphasize the importance of selecting a breeding plan that would maximize the use of existing genetic variability in such populations.

The object of this study was to evaluate the amount of improvement for performance traits in crossline swine which would result from a specific selection procedure. The procedure was to select in one line for two traits, select in another line for two other traits and then cross the two lines.

To estimate these changes, simulated swine herds were generated. A computer was used to generate herds that have heritabilities and genetic correlations like those in swine breeds.

Pure mathematics [Griffing (1960), Kimura (1954, 1958, 1962), Kojima (1961), Robertson (1960)] and Monte Carlo simulation]Baker and Comstock (1961), Barker (1958a, 1958b), Barker and Butcher (1966), Bereskin, Shelby and Hazel (1969), Bohidar (1960), Fraser (1957a, b, 1960a, b, c) Fraser, Burnell and Miller (1966), Gill (1963, 1965a, b, c), Martin and Cockerham (1960), Parker (1966), Qureshi (1963, 1964), Young (1966)] have been used in other studies to evaluate expected genetic changes due to selection.

Footnotes

1 Present address: Department of Statistics, Kansas State University, Manhattan.

2 Michigan Agricultural Experiment Station Journal Article No. 4560.

3 Department of Animal Husbandry.






HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1970 by the American Society of Animal Science.