Shifted Multiplicative Model Clustering of Environments for Synthetic-Derived Bread Wheat
Fida Mohammad, O.S. Abdalla, Sheraz Ahmed, Fakharuddin and S. Rajaram
1Department of Plant Breeding and Genetics, The University of Agriculture, Peshawar, 25130, Khyber Pakhtunkhwa-Pakistan; 2International Center for Agricultural Research in the Dry Areas (ICARDA), Aleppo, Syria.
sheraazahmed@yahoo.com
Figure 1
Map showing the ranking of countries facing severe water stress by 2040
Figure 2
Dendrogram resulting from shifted multiplicative model cluster method on 5 environments. Final groups of environments are marked with arrows
Figure 3
Monthly average distribution of rainfall,evaporation, maximum and minimum temprature 2006-07 at tel Hadya and Breda
Table 2
§ GFD = Grain filling days, ¶ TKW = Thousand-kernel weight, ‡ HI = Harvest index, * YR = Yellow rust, A2-2** = Range not given as it contains one element, and # ACI = Average coefficient of infection
Table 3
*IR: Fully irrigated, § GFD = Grain filling days, ¶ TKW = Thousand-kernel weight, ‡ HI = Harvest index, ** YR = Yellow rust, and # ACI = Average coefficient of infection