Shifted Multiplicative Model Clustering of Environments for Synthetic-Derived Bread Wheat
Shifted Multiplicative Model Clustering of Environments for Synthetic-Derived Bread Wheat
Fida Mohammad, O.S. Abdalla, Sheraz Ahmed, Fakharuddin and S. Rajaram
ABSTRACT
Synthetic derived bread wheat is considered to be a rich source of resistant genes for stresses including drought and rusts. To evaluate the grain yield and related yield components of synthetic derived bread wheat lines under different moisture levels, this research was conducted during 2006-07 in the field conditions of Tel Hadya and Breda i.e. the leading research venues of International Center for Agricultural Research in the Dry Areas (ICARDA), Syria. The experimental material comprised of forty synthetic derived wheat lines along with eight check cultivars was planted in alpha lattice design with three replications. Genotypes exhibited significant (p≤0.01) variations for all the studied traits excluding biomass. Genotype by environment interactions (GEI) were significant for all the characters except for thousand kernel weight. The influences of yield components on grain yield were explained by the cluster analysis of environments. Clustering of five test environments based on Shifted Multiplicative Model (SHMM) exposed the major role of grains spike-1 and harvest index in production of grain yield. Though the rate and distribution of rainfall during the cropping season were the main contributing factors in the varied performance across years, however, the grain yield of synthetic derived wheat lines across different environments was not significantly disturbed within each year and hence, are suitable for areas of prolonged drought. Some lines of synthetic derived wheat especially those carrying blood from T. tauschii germplasm were equivalent in performance to superior cultivars used in the study, thus can be utilized in breeding for drought stress by wheat breeders.
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