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Pyramiding and dissecting disease resistance QTL to barley stripe rust

Overview of attention for article published in Theoretical and Applied Genetics, May 2006
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Title
Pyramiding and dissecting disease resistance QTL to barley stripe rust
Published in
Theoretical and Applied Genetics, May 2006
DOI 10.1007/s00122-006-0314-2
Pubmed ID
Authors

K. L. Richardson, 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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Geographical breakdown

Country Count As %
United States 3 4%
Unknown 67 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 16 23%
Student > Master 8 11%
Student > Bachelor 6 9%
Other 3 4%
Other 7 10%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 67%
Biochemistry, Genetics and Molecular Biology 9 13%
Environmental Science 1 1%
Computer Science 1 1%
Medicine and Dentistry 1 1%
Other 2 3%
Unknown 9 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2013.
All research outputs
#16,031,680
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#2,892
of 3,565 outputs
Outputs of similar age
#57,601
of 65,897 outputs
Outputs of similar age from Theoretical and Applied Genetics
#15
of 18 outputs
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