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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

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 

Sarhad Journal of Agriculture

September

Vol. 35, Iss. 3, Pages 663-1019

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