Year 2015, Volume 61 Issue 4

Year : 2015
Volume : 61
Issue : 4
   
Authors : Naser SABAGHNIA, Mohsen JANMOHAMMADI
Title : A COMPARISON OF NONPARAMETRIC METHODS TO ANALYZE GENOTYPE BY ENVIRONMENT INTERACTION
Abstract : Analysis of multi-environment trials (METs) of crops for cultivar evaluation and recommendation is an important issue in plant breeding program and evaluating both stability and yield is essential in MET analyses. Fourteen different nonparametric methods used for analyzing genotype × environment (GE) interaction were compared by applying them to a set of experimental data (11 lentil cultivars in 20 environments). A principal components analysis (PCA) was performed on the rank correlation matrix arising from the application of each method. In this study, high values of Fox and low values of rank-sum were associated with high yield performance, but the other nonparametric methods were not positively correlated with yield. The 14 nonparametric methods can be categorized in three groups: (i) those which are mostly associated with yield level and did not show any association with nonparametric stability statistics; (ii) those in which both yield and stability are considered simultaneously; and (iii) those methods which only indicate stability level. This analysis also separated those methods based on a dynamic concept of stability from those which are based on a static one. The new nonparametric methods (NS1 and NS2) were grouped with the second and third groups. Therefore, the NS2 statistic which indicated the inter-decile range proportion to median is more applicable than the inter-quartile range proportion to median (NS1)
For citation : Sabaghnia, N., Janmohammadi, M. (2015): A comparison of nonparametric methods to analyze genotype by environment interaction. Agriculture and Forestry, 61(4): 169-175.
Keywords : adaptation, GE interaction, stability, yield performance
   
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