2020
DOI: 10.1111/ppa.13174
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Regional and temporal differentiation of virulence phenotypes of Puccinia triticina from common wheat in Russia during the period 2001–2018

Abstract: | INTRODUC TI ONLeaf rust, caused by the fungus Puccinia triticina, is the most common rust disease on wheat in Russia and its destructiveness has varied over time and between regions (Sanin, 2012). The use of resistant varieties is the most effective and environmentally friendly method of protection of wheat against leaf rust.Analysis of the population structure of P. triticina and its variability allows for the development of specific wheat varieties resistant to leaf rust and adjustment of their deployment … Show more

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Cited by 18 publications
(17 citation statements)
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“…Cultivars protected by this gene were only grown to a limited extent in the southern Ural. However, they were widely grown in Volga regions bordering with Cis-Urals, and isolates virulent to the Lr19 gene dominated in these populations [25][26][27].…”
Section: Variability Of Pathogens' Population Structure In Response To Genetically Protected Cultivar Productionmentioning
confidence: 99%
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“…Cultivars protected by this gene were only grown to a limited extent in the southern Ural. However, they were widely grown in Volga regions bordering with Cis-Urals, and isolates virulent to the Lr19 gene dominated in these populations [25][26][27].…”
Section: Variability Of Pathogens' Population Structure In Response To Genetically Protected Cultivar Productionmentioning
confidence: 99%
“…However, no populations of the pathogen in the region were found to have virulence to both Lr9 and Lr26, or both Lr19 and Lr26. Virulence to Lr9 (or Lr19), and Lr1, Lr2a, Lr2b, Lr2c, Lr3a, Lr3bg, Lr3ka, Lr10, Lr14a, Lr14b, Lr15, Lr17, Lr18, Lr20 and Lr30 is widespread [22][23][24][25].…”
Section: Variability Of Pathogens' Population Structure In Response To Genetically Protected Cultivar Productionmentioning
confidence: 99%
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“…0.232-0.344 for the KW dispersion, Table 3) and similar to P. triticina asexual population with KW values ranging between 0.09 and 0.11 (Gultyaeva et al, 2020). The Altai samples consisted of several closely related rare virulence phenotypes.…”
Section: Discussionmentioning
confidence: 70%
“…9 and 11 of Jost (2008) based on the KW diversity (eq. 1 in Gultyaeva et al, 2020). difKW=KW(P)i=1kμiKW(Pi)1i=1kμiKW(Pi),as explained in Kosman et al (2014; p. 565) for a pool P of all isolates from a set of k collections of size n i , N = n 1 + n 2 + … + n k , µ i = n i / N ( i = 1, 2, …, k ).…”
Section: Methodsmentioning
confidence: 94%