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Optimizing Resource Allocation for Multistage Selection in Plant Breeding with R Package Selectiongain
Author(s) -
Mi Xuefei,
Utz H. Friedrich,
Technow Frank,
Melchinger Albrecht E.
Publication year - 2014
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci2013.10.0699
Subject(s) - selection (genetic algorithm) , resource allocation , biology , software , software package , grid , resource (disambiguation) , computer science , microbiology and biotechnology , mathematics , machine learning , operating system , computer network , geometry
Most plant‐breeding programs involve multistage selection, but hitherto no flexible and computationally efficient software has been freely available for calculating the selection gain and optimizing the allocation of resources under these conditions. Here we describe the use of the newly‐developed R package selectiongain that enables (i) calculation of the selection gain for up to 20 selection stages and (ii) a grid search of the optimum allocation of resources (number of candidates, locations, and testers) for given costs and correlations among the selection criteria in each stage. The capabilities of our software are demonstrated with an example taken from the literature on selecting doubled haploid lines in maize across three stages.