naa a22 4500 510730523 CHVBK 20180411082951.0 cr unu---uuuuu 180411e20130601xx s 000 0 eng 10.1007/s11295-013-0594-z doi (NATIONALLICENCE)springer-10.1007/s11295-013-0594-z Dissection of complex traits in forest trees — opportunities for marker-assisted selection [Elektronische Daten] [Saravanan Thavamanikumar, Simon Southerton, Gerd Bossinger, Bala Thumma] Due to their long reproductive cycles and the time to expression of mature traits, marker-assisted selection is particularly attractive for tree breeding. In this review, we discuss different approaches used for developing markers and propose a method for application of markers in low linkage disequilibrium (LD) populations. Identification of useful markers for application in tree breeding is mainly based on two approaches, quantitative trait locus (QTL) mapping and association genetic studies. While several studies have identified significant markers, effect of the individual markers is low making it difficult to utilize them in breeding programs. Recently, genomic selection (GS) was proposed for overcoming some of these difficulties. In GS, high density markers are used for predicting phenotypes from genotypes. Currently small effective populations with high LD are being tested for GS in tree breeding. For wider application, GS needs to be applied in low LD populations which are found in many tree breeding programs. Here we propose an approach in which the significant markers from association studies may be used for developing prediction models in low LD populations using the same methods as in GS. Preliminary analyses indicate that a modest numbers of markers may be sufficient for developing prediction models in low LD populations. GS based on large numbers of random markers or small numbers of associated markers is poised to make marker-assisted selection a reality in forest tree breeding. Springer-Verlag Berlin Heidelberg, 2013 Genomic selection nationallicence Genomic estimated breeding values nationallicence Association mapping nationallicence QTL mapping nationallicence Linkage disequilibrium nationallicence Thavamanikumar Saravanan Department of Forest and Ecosystem Science, University of Melbourne, 3363, Creswick, Victoria, Australia aut Southerton Simon CSIRO Plant Industry, GPO Box 1600, 2601, Acton, ACT, Australia aut Bossinger Gerd Department of Forest and Ecosystem Science, University of Melbourne, 3363, Creswick, Victoria, Australia aut Thumma Bala CSIRO Plant Industry, GPO Box 1600, 2601, Acton, ACT, Australia aut Tree Genetics & Genomes Springer-Verlag 9/3(2013-06-01), 627-639 1614-2942 9:3<627 2013 9 11295 https://doi.org/10.1007/s11295-013-0594-z text/html Onlinezugriff via DOI 1 review-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11295-013-0594-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Thavamanikumar Saravanan Department of Forest and Ecosystem Science, University of Melbourne, 3363, Creswick, Victoria, Australia aut NATIONALLICENCE 700 1- Southerton Simon CSIRO Plant Industry, GPO Box 1600, 2601, Acton, ACT, Australia aut NATIONALLICENCE 700 1- Bossinger Gerd Department of Forest and Ecosystem Science, University of Melbourne, 3363, Creswick, Victoria, Australia aut NATIONALLICENCE 700 1- Thumma Bala CSIRO Plant Industry, GPO Box 1600, 2601, Acton, ACT, Australia aut NATIONALLICENCE 773 0- Tree Genetics & Genomes Springer-Verlag 9/3(2013-06-01), 627-639 1614-2942 9:3<627 2013 9 11295 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer