Literature DB >> 16736138

Pyramiding and dissecting disease resistance QTL to barley stripe rust.

K L Richardson1, M I Vales, J G Kling, C C Mundt, P M Hayes.   

Abstract

Quantitative resistance (QR) to disease is usually more durable than qualitative resistance, but its genetic basis is not well understood. We used the barley/barley stripe rust pathosystem as a model for the characterization of the QR phenotype and associated genomic regions. As an intermediate step in the preparation of near-isogenic lines representing individual QTL alleles and combinations of QTL alleles in a homogeneous genetic background, we developed a set of QTL introgression lines in a susceptible background. These intermediate barley near-isogenic (i-BISON) lines represent disease resistance QTL combined in one-, two-, and three-way combinations in a susceptible background. We measured four components of disease resistance on the i-BISON lines: latent period, infection efficiency, lesion size, and pustule density. The greatest differences between the target QTL introgressions and the susceptible controls were for the latter three traits. On average, however, the QTL introgressions also had longer latent periods than the susceptible parent (Baronesse). There were significant differences in the magnitudes of effects of different QTL alleles. The 4H QTL allele had the largest effect, followed by the alleles on 1H and 5H. Pyramiding multiple QTL alleles led to higher levels of resistance in terms of all components of QR except latent period.

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Year:  2006        PMID: 16736138     DOI: 10.1007/s00122-006-0314-2

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  9 in total

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4.  Mapping and pyramiding of qualitative and quantitative resistance to stripe rust in barley.

Authors:  A J Castro; F Capettini; A E Corey; T Filichkina; P M Hayes; A Kleinhofs; D Kudrna; K Richardson; S Sandoval-Islas; C Rossi; H Vivar
Journal:  Theor Appl Genet       Date:  2003-07-03       Impact factor: 5.699

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  9 in total
  15 in total

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