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Microcomputer Simulation of Expected Gains from Eight Methods of Intrapopulation Recurrent Selection
Author(s) -
Coors J. G.,
Staub J. E.,
Senalik D.,
Rinehart C. A.
Publication year - 1989
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj1989.00021962008100020035x
Subject(s) - selection (genetic algorithm) , microcomputer , genetic gain , variance (accounting) , statistics , biology , computer science , mathematics , genetic variation , machine learning , genetics , telecommunications , business , chip , accounting , gene
An interactive microcomputer program was developed to provide plant breeders and graduate students in quantitative genetics the opportunity to devise selection strategies and review expected gains for eight intrapopulation selection methods. Selection methods include uniparental and biparental mass selection, three forms of half‐sib selection, full‐sib selection, and S 1 and S 2 selection. Users provide estimates of genetic and environmental components of variance, selection intensities, and an array of possible experimental designs including number of environments, number of replicates within environments, and plot size. Expected gains can be expressed as either gain cycle −1 , gain year −1 , or gain season −1 . Help screens are included that explain selection methods and the calculation of expected gains. The program is designed so the user can easily move within it, reenter values for individual variables, and rapidly redisplay results.