Genomewide Selection and Marker-Assisted Recurrent Selection in Doubled Haploid versus F2 Populations

被引:55
作者
Mayor, Patricio J. [1 ]
Bernardo, Rex [1 ]
机构
[1] Univ Minnesota, Dep Agron & Plant Genet, St Paul, MN 55108 USA
关键词
QUANTITATIVE TRAITS; MAIZE; QTL; EFFICIENCY; RESISTANCE; ACCURACY; BIAS; LINE;
D O I
10.2135/cropsci2008.10.0587
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Molecular markers have been previously found useful for increasing genetic gain in maize (Zea mays L.). The use of doubled haploids (DHs) instead of F-2 plants (or, equivalently, F-3 families) may permit a better estimation of marker-trait associations. Our objective was to determine the usefulness of DH versus F-2 populations in marker-assisted recurrent selection (MARS) and genomewide selection. We simulated testcrosses from a DH population and an F-2 population from the same cross between two inbreds and studied genetic models defined by the number of quantitative trait loci (QTL) and trait heritability (H). Equal-time comparisons of selection response were between Cycle 3 with an F2 population and Cycle 2 with a DH population. For the genetic model of 100 QTL, H = 0.20 and a population size of N = 100, the ratio of response to selection in DH versus F-2 populations was R-DH:F2 = 109% for genomewide selection and 128% for MARS. For the genetic model of 20 QTL, H = 0.80 and N = 100 these values decreased to 99% for genomewide selection and 109% for MARS. Although genomewide selection was superior to MARS for a given type of population, the advantage of using DH instead of F-2 populations was greater in MARS than in genomewide selection. We concluded that DH populations are most useful in genomewide selection and MARS when many QTL control the trait, H is low, and N is small.
引用
收藏
页码:1719 / 1725
页数:7
相关论文
共 50 条
[31]   A method for marker-assisted selection based on QTLs with epistatic effects [J].
Liu, PY ;
Zhu, J ;
Lou, XY ;
Lu, Y .
GENETICA, 2003, 119 (01) :75-86
[32]   Marker-assisted selection in C. oleifera hybrid population [J].
Feng, Jin-Ling ;
Jiang, Ying ;
Yang, Zhi-Jian ;
Chen, Shi-Pin ;
El-Kassaby, Yousry A. ;
Chen, Hui .
SILVAE GENETICA, 2020, 69 (01) :63-72
[33]   A Method for Marker-Assisted Selection Based on QTLs with Epistatic Effects [J].
Pengyuan Liu ;
Jun Zhu ;
Xiangyang Lou ;
Yan Lu .
Genetica, 2003, 119 :75-86
[34]   Molecular marker-assisted selection for enhanced yield in malting barley [J].
Deric A. Schmierer ;
Nejdet Kandemir ;
David A. Kudrna ;
Berne L. Jones ;
Steven E. Ullrich ;
Andris Kleinhofs .
Molecular Breeding, 2004, 14 :463-473
[35]   Molecular marker-assisted selection for enhanced yield in malting barley [J].
Schmierer D.A. ;
Kandemir N. ;
Kudrna D.A. ;
Jones B.L. ;
Ullrich S.E. ;
Kleinhofs A. .
Molecular Breeding, 2005, 14 (4) :463-473
[36]   MARKER-ASSISTED SELECTION OF CANDIDATE BULLS FOR PROGENY TESTING PROGRAMS [J].
KASHI, Y ;
HALLERMAN, E ;
SOLLER, M .
ANIMAL PRODUCTION, 1990, 51 :63-74
[37]   Marker-assisted selection for white mold resistance in common bean [J].
Marcio Ender ;
Karolyn Terpstra ;
James D. Kelly .
Molecular Breeding, 2008, 21 :149-157
[38]   Genome-wide association study, genomic prediction and marker-assisted selection for seed weight in soybean (Glycine max) [J].
Zhang, Jiaoping ;
Song, Qijian ;
Cregan, Perry B. ;
Jiang, Guo-Liang .
THEORETICAL AND APPLIED GENETICS, 2016, 129 (01) :117-130
[39]   Cost analysis of the application of marker-assisted selection in potato breeding [J].
Slater, Anthony T. ;
Cogan, Noel O. I. ;
Forster, John W. .
MOLECULAR BREEDING, 2013, 32 (02) :299-310
[40]   Recent advances of genome mapping and marker-assisted selection in aquaculture [J].
Yue, Gen Hua .
FISH AND FISHERIES, 2014, 15 (03) :376-396