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Published online 20 May 2008
Published in Crop Sci 48:911-922 (2008)
© 2008 Crop Science Society of America
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Alternative Recurrent Selection Strategies Using Doubled Haploid Lines in Hybrid Maize Breeding

G. Andres Gordillo and Hartwig H. Geiger*

Univ. of Hohenheim, Institute of Plant Breeding, Seed Science, and Population Genetics, D-70593 Stuttgart, Germany

* Corresponding author (geigerhh{at}uni-hohenheim.de).

Recurrent testcross selection based on doubled haploid lines can be highly effective in hybrid maize (Zea mays L.) breeding. As a consequence, however, the genetic variance of the breeding population is reduced more rapidly. To limit the reduction of variance, a minimum effective population size (Ne) has to be ensured. However, maintaining sufficient Ne restricts the achievable selection intensity, in particular when crosses are made every year to start a new selection program such that the hybrid breeding population representing one heterotic group is divided into multiple, timely staggered subpopulations. Intercrossing lines from different subpopulations, defined herein as interlinking, allows the breeder to alleviate this restriction. In this study, the formula for predicting the genetic gain from selection is extended to account for interlinking of subpopulations. The optimum allocation of test resources was determined for two interlinking strategies and a control mating scheme (without interlinking) under one-, two-, and three-stage testcross selection. Our results show that optimum interlinking of staggered subpopulations provides faster breeding progress than advancing non-interlinked subpopulations separately. Moreover, the manner in which subpopulations are interlinked and the proportion of intercrossed lines from different subpopulations is fundamental in the design of efficient recurrent selection plans.

Abbreviations: DH, doubled haploid • GCA, general combining ability • Ne, effective population size • RS, recurrent selection • SCA, specific combining ability


This work became possible by a grant (AiF No. 13991) of the German Bundesministerium für Wirtschaft und Arbeit (BMWA) and by financial support from the Gemeinschaft zur Förderung der privaten deutschen Pflanzenzüchtung e.V. (GFP). The authors are grateful to the breeding companies Südwestdeutsche Saatzucht GmbH & Co. KG (SWS), KWS SAAT AG, and Monsanto Agrar Deutschland GmbH for providing experimental and labor cost data, and to F.K. Röber, W. Schmidt, and E. Holzhausen for helpful discussions.

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Received for publication April 23, 2007.





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