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• W223816178 abstract "Successful prediction of hybrid performance (HP) is an attractive alternative to expensive field testing for identification of superior hybrids and can greatly accelerate hybrid breeding programs. In combination with the doubled-haploid technology, which has greatly facilitated the development of maize lines, HP prediction based on molecular markers has gained importance in recent years. Here, we review the methods for HP prediction of single-crosses between heterotic groups. These methods are based on line per se performance, general combining ability, best linear unbiased prediction, genetic distances, and genetic effects estimated from molecular markers. We consider marker-based HP prediction with a focus on the use of doubled-haploid lines and discuss its application for three stages in hybrid breeding programs: (1) after field evaluation of experimental hybrids, (2) after field evaluation of testcross performance, and (3) before field evaluation of testcross performance. Types of hybrids, whose performance is to be predicted, are those having two (Type 2), one (Type 1), or no (Type 0) parental lines that are already evaluated for testcross performance. Various studies in maize indicate that efficiency of HP prediction depends not only on the prediction approach and the actual experimental data, but also on the type of hybrids. Finally, we present an outlook on the future of HP prediction, with a focus on the integration of high-throughput genotyping platforms in hybrid breeding programs." @default.
• W223816178 created "2016-06-24" @default.
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• W223816178 date "2009-01-01" @default.
• W223816178 modified "2023-09-27" @default.
• W223816178 title "MARKER-BASED PREDICTION OF HYBRID PERFORMANCE IN MAIZE SINGLE-CROSSES INVOLVING DOUBLED HAPLOIDS" @default.
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