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A model calculation approach towards the optimization of a standard scheme of seed‐parent line development in hybrid rye breeding
Author(s) -
Tomerius A.M.,
Miedaner T.,
Geiger H. H.
Publication year - 2008
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/j.1439-0523.2008.01493.x
Subject(s) - selection (genetic algorithm) , secale , biology , genomic selection , genetic gain , scheme (mathematics) , variance (accounting) , line (geometry) , statistics , microbiology and biotechnology , mathematics , mathematical optimization , computer science , genetic variation , agronomy , genetics , artificial intelligence , mathematical analysis , geometry , accounting , genotype , single nucleotide polymorphism , gene , business
The importance of hybrid rye ( Secale cereale L.) breeding has steadily increased over the last decades. This paper presents results of model calculations aiming to optimize the number of candidates, testers to assess combining ability and test locations at each selection stage of a standard scheme of seed‐parent line development. Two variants of the scheme differing in the number of stages and the cycle length are investigated. Optimization criterion is the expected selection gain per year under the restriction of a fixed budget. Prediction of selection gain rests on quantitative–genetic and economic parameters estimated from breeders’ data. Optimization covers different genetical and economical situations. Results show that the optimum number of testers to assess combining ability depends on the relative amount of dominance variance. The efficiency of a breeding scheme strongly increases with decreasing cycle length. A larger budget should mainly be used to increase the number of candidates at all selection stages. Recommendations for practical breeding schemes are given. We conclude that model calculations are a valuable tool for the optimization of breeding schemes.