Plant & Animal Genomes XVI Conference

January 12-16, 2008
Town & Country Convention Center
San Diego, CA

Barley Stripe Rust Resistance QTL: Allele Effects And Tools For Marker Assisted Selection

Alfonso Cuesta-Marcos¹ , Kelley L. Richardson^1,2 , Phinyarat Kongprakhon¹ , Flavio Capettini³ , Xianming Chen² , Ann E. Corey¹ , Tanya Filichkina¹ , Mareike Johnston⁴ , Jennifer G Kling¹ , Christopher C. Mundt⁵ , M. Isabel Vales¹ , Péter Szücs¹ , Patrick M. Hayes¹

¹  Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331, USA

²  USDA-ARS, Washington State University, Pullman, WA 99164, USA

³  ICARDA/CIMMYT Latin America Regional Program, Apartado Postal 6-641; 06600 México D.F., México

⁴  Department of Plant Science and Plant Pathology, Montana State University, Bozeman, MT 59717, USA

⁵  Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA

Quantitative resistance (QR) to plant disease is usually more durable than qualitative resistance. Breeding for QR will be more effective when unbiased estimates of the locations, effects, and interactions of the determinant genes - together with abundant markers suitable for marker assisted selection (MAS) - are available. For the barley stripe rust (BSR; a disease incited by Puccinia striiformis f.sp. hordei) model we used QTL mapping data to develop a set of near-isogenic lines representing individual QR alleles and combinations of QR alleles in the high yielding, adapted, and moderately susceptible variety Baronesse. Prior to carrying out the final steps in developing these Barley near-ISOgeNic (BISON) lines, we validated QR allele effects in intermediate near-isogenic (i-BISON) lines. We measured the response to the pathogen, as either infection type or percent disease severity, on the i-BISON lines at the seedling and adult plant stages, in controlled and field environments, and with various races of the pathogen. Haplotypes of BISON lines - developed from an additional round of backcrossing to Baronesse followed by selfing – were generated based on 467 EST based, and mapped SNPs. The integration of these phenotype and genotype data provides insights in the genetic basis for QR and provides a platform for marker-assisted transfer of QR alleles to susceptible varieties. The-iBISON germplasm and tools for MAS are freely available to the research and breeding communities