caa a22 4500 445322896 CHVBK 20180317142710.0 cr unu---uuuuu 170323e20110501xx s 000 0 eng 10.1007/s10681-010-0301-1 doi (NATIONALLICENCE)springer-10.1007/s10681-010-0301-1 Genomic selection for durable stem rust resistance in wheat [Elektronische Daten] [Jessica Rutkoski, Elliot Heffner, Mark Sorrells] Inheritance of stem rust (caused by Puccinia graminis f. sp. tritici) resistance in wheat can be either qualitative or quantitative. While quantitative disease resistance is believed to be more durable, it is more difficult to evaluate if it is expressed only in mature plants, i.e. adult plant resistance (APR). Marker-assisted selection (MAS) methods for APR would be useful; however, the multigenic nature of APR impedes the use of MAS efforts that aim to pyramid only a few target genes. A promising alternative is genomic selection (GS), which utilizes genome-wide marker coverage to predict genotypic values for quantitative traits. In turn, GS can reduce the selection cycle length of a breeding program for traits like APR that could take several seasons to generate reliable phenotypes. In this paper, we describe the GS process for use in crop improvement, both specifically for APR and in general. We also propose a GS-based wheat breeding scheme for quantitative resistance to stem rust that, when compared to current breeding schemes, can reduce cycle time by up to twofold and facilitates pyramiding of major genes with APR genes. Thus, GS could be an important tool for achieving the Borlaug Global Rust Initiative's (BGRI) goal of developing durable stem rust resistance in wheat. Springer Science+Business Media B.V., 2010 Genomic selection nationallicence Wheat nationallicence Puccinia graminis nationallicence Durable resistance nationallicence Quantitative resistance nationallicence Adult plant resistance nationallicence AB : Association breeding nationallicence APR : Adult plant resistance nationallicence GasBLUP : Gene-assisted genomic selection nationallicence GEBV : Genomic estimated breeding value nationallicence GS : Genomic selection nationallicence HR : Hypersensitive response nationallicence LD : Linkage disequilibrium nationallicence MABC : Marker assisted backcrossing nationallicence MAS : Marker assisted selection nationallicence MARS : Marker assisted recurrent selection nationallicence RR-BLUP : Ridge regression best linear unbiased prediction nationallicence TP : Training population nationallicence TBV : True breeding value nationallicence SC : Selection candidate nationallicence Rutkoski Jessica Department of Plant Breeding and Genetics, Cornell University, 14853, Ithaca, NY, USA aut Heffner Elliot Department of Plant Breeding and Genetics, Cornell University, 14853, Ithaca, NY, USA aut Sorrells Mark Department of Plant Breeding and Genetics, Cornell University, 14853, Ithaca, NY, USA aut Euphytica Springer Netherlands 179/1(2011-05-01), 161-173 0014-2336 179:1<161 2011 179 10681 https://doi.org/10.1007/s10681-010-0301-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10681-010-0301-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rutkoski Jessica Department of Plant Breeding and Genetics, Cornell University, 14853, Ithaca, NY, USA aut NATIONALLICENCE 700 1- Heffner Elliot Department of Plant Breeding and Genetics, Cornell University, 14853, Ithaca, NY, USA aut NATIONALLICENCE 700 1- Sorrells Mark Department of Plant Breeding and Genetics, Cornell University, 14853, Ithaca, NY, USA aut NATIONALLICENCE 773 0- Euphytica Springer Netherlands 179/1(2011-05-01), 161-173 0014-2336 179:1<161 2011 179 10681 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer