Mapping multiple disease resistance genes using a barley mapping population evaluated in Peru, Mexico, and the USA

Autor: I. Vales, C. Rossi, Roger P. Wise, Luz Rayda Gomez-Pando, Xianming Chen, Kazuhiro Sato, Gisella Orjeda, Kiyosumi Hori, H. Vivar, Alfonso Cuesta-Marcos, F. Capettini, Patrick M. Hayes
Rok vydání: 2006
Předmět:
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
instname
ISSN: 1572-9788
1380-3743
Popis: We used a well-characterized barley mapping population (BCD 47 x Baronesse) to determine if barley stripe rust (BSR) resistance quantitative trait loci (QTL) mapped in Mexico and the USA were effective against a reported new race in Peru. Essentially the same resistance QTL were detected using data from each of the three environments, indicating that these resistance alleles are effective against the spectrum of naturally occurring races at these sites. In addition to the mapping population, we evaluated a germplasm array consisting of lines with different numbers of mapped BSR resistance alleles. A higher BSR disease severity on CI10587, which has a single qualitative resistance gene, in Peru versus Mexico suggests there are differences in pathogen virulence between the two locations. Confirmation of a new race in Peru will require characterization using a standard set of differentials, an experiment that is underway. The highest levels of resistance in Peru were observed when the qualitative resistance gene was pyramided with quantitative resistance alleles. We also used the mapping population to locate QTL conferring resistance to barley leaf rust and barley powdery mildew. For mildew, we identified resistance QTL under field conditions in Peru that are distinct from the Mla resistance that we mapped using specific isolates under controlled conditions. These results demonstrate the long-term utility of a reference mapping population and a well-characterized germplasm array for locating and validating genes conferring quantitative and qualitative resistance to multiple pathogens.
Databáze: OpenAIRE