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

被引:2
作者
Hocaoglu, O. [1 ]
Akan, K. [2 ]
Akcura, M. [1 ]
机构
[1] Canakkale Onsekiz Mart Univ, Fac Agr, Field Crops Dept, Canakkale, Turkey
[2] Kirsehir Ahi Evran Univ, Fac Agr, Dept Plant Protect, Kirsehir, Turkey
关键词
Non-parametric; Landrace bread wheat; GGE Biplot; Stability; Heatmap; Leaf rust (Puccinia triticina); X ENVIRONMENT INTERACTIONS; INTERPRETING GENOTYPE; STABILITY ANALYSIS; YIELD STABILITY; BIPLOT ANALYSIS; ADAPTATION; PARAMETERS; SELECTION; INDEXES; L;
D O I
10.1007/s12600-019-00782-7
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
This research aims to assess genotype x environment interactions (G x E) of the leaf rust (Puccinia triticina) reactions of 29 Turkish landrace-derived pure lines over seven environments. Field experiments were conducted in canakkale, 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.
引用
收藏
页码:261 / 271
页数:11
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