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Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for general combining ability.

Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for general combining ability. Research Abstract Details 

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  • Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for general combining ability. Abstract Text:

    c friedrich h longinC Friedrich H Longin,h friedrich utzH Friedrich Utz,albrecht e melchingerAlbrecht E Melchinger,jochen c reifJochen C Reif,

    Optimum allocation of test resources is of crucial importance for the efficiency of breeding programs. Our objectives were to (1) determine the optimum allocation of the number of lines, test locations, as well as number and type of testers in hybrid maize breeding using doubled haploids with two breeding strategies for improvement of general combining ability (GCA), (2) compare the maximum selection gain (DeltaG) achievable under both strategies, and (3) give recommendations for the optimum implementation of doubled haploids in commercial hybrid maize breeding. We calculated DeltaG by numerical integration for two two-stage selection strategies with evaluation of (1) testcross performance in both stages (BS1) or (2) line per se performance in the first stage followed by testcross performance in the second stage (BS2). Different assumptions were made regarding the budget, variance components (VCs), and the correlation between line per se performance and GCA. Selection gain for GCA increased with a broader genetic base of the tester. Hence, testers combining a large number of divergent lines are advantageous. However, in applied breeding programs, the use of single- or double-cross testers in the first and inbred testers in the second selection stage may be a good compromise between theoretical and practical requirements. With a correlation between line per se performance and GCA of 0.50, DeltaG for BS1 is about 5% higher than for BS2, if an economic weight of line per se performance is neglected. With increasing economic weight of line per se performance, relative efficiency of BS2 increased rapidly resulting in a superiority of BS2 over BS1 already for an economic weight for line per se performance larger than 0.1. Considering the importance of an economic seed production, an economic weight larger than 0.1 seems realistic indicating the necessity of separate breeding strategies for seed and pollen parent heterotic groups.

    Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for general combining ability. Publishing Authors By Initials

    cf longinCF Longin,hf utzHF Utz,ae melchingerAE Melchinger,jc reifJC Reif,

    For similar plants: plant families and groups: angiosperms: poaceae: zea mays research abstracts see: plants: plant families and groups: angiosperms: poaceae: zea mays research

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    Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for general combining ability. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: TAG. Theoretical and applied genetics. Theoretisch

    VOLUME: 114

    Page Numbers: 393-402

    Journal Abbreviation: Theor. Appl. Genet.

    ISSN: 0040-5752

    DAY: 16

    MONTH: 12

    YEAR: 2006

    Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for general combining ability. Information

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    LANGUAGE: eng

    NlmUniqueID: 145600

    Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for general combining ability. Keywords Mesh Terms:

    KEYWORDS: Zea mays

    MESH TERMS: physiology

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    Grant and Affiliation Information for Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for general combining ability.

    AFFILIATION: Institute of Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, 70593, Stuttgart, Germany.

    Country: Germany

    Germany Research PublicationGermany Research Publication

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    MEDLINETA: Theor Appl Genet

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