Evaluating leaf rust reactions of pure bread wheat landrace lines using non-parametric statistics

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Springer

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info:eu-repo/semantics/openAccess

Özet

This research aims to assess genotype × environment interactions (G × E) of the leaf rust (Puccinia triticina) reactions of 29 Turkish landrace-derived pure lines over seven environments. Field experiments were conducted in Çanakkale, Edirne and Samsun (Turkey) in three consecutive growing seasons from 2011-2012 to 2013–2014 under natural conditions. Leaf rust reactions of genotypes were recorded in accordance with the Modified Cobb scale. Genotype stabilities assessed by non-parametric stability statistics. Furthermore, a Principal Component Analysis (PCA) biplot of non- parametric stability statistics were used to compare their capability for capturing both stability and leaf rust reactions of genotypes in the given dataset. PCA Biplot results showed that non-parametric parameters of Thennarasu and Percentage Availability (PA) showed a positive association with mean disease severity while Rank Means (RM) were negatively associated. Non-parametric stability analyses revealed that Genotypes 29, 25 and 15 were the most stable pure lines when only 25 and 15 could be considered as resistant-stable. In order to determine both stability and leaf rust resistance in bread wheat, PA and RM are recommended. © 2020, Springer Nature B.V.

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Anahtar Kelimeler

GGE Biplot, Heatmap, Landrace bread wheat, Leaf rust (Puccinia triticina), Non-parametric, Stability

Kaynak

Phytoparasitica

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Scopus Q Değeri

Cilt

48

Sayı

2

Künye

Hocaoğlu, Onur, Akan, K., & Akçura, M. E. V. L. Ü. T. (2020). Evaluating leaf rust reactions of pure bread wheat landrace lines using non-parametric statistics. Phytoparasitica, 48(2), 261-271.

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