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Yield and Yield Stability of Four Population Types of Grain Sorghum in a Semi-Arid Area of Kenya

^a Institute of Plant Breeding, Seed Science, and Population Genetics, Univ. of Hohenheim, 70593 Stuttgart, Germany
^b ICRISAT, P.O. Box 776, Bulawayo, Zimbabwe
^c Dep. of Crop Science, University of Nairobi, P.O. Box 30197, Nairobi, Kenya
^d Agricultural Research Organization, The Volcani Center, P.O.B. 6, Bet Dagan, Israel
^e Südwestsaat GbR, Benshurst 2, 77839 Lichtenau, Germany

View larger version (52K): [in a new window]   Fig. 1 Means of the four groups of entry and the two local cultivars for grain yield in two non-stress (N1, N2) and six stress environments (D1T, D2P, D3T, D4T, D5T, D6E, with the numbers denoting increasing drought intensity, and T, P, and E terminal, preflowering, and extreme drought stress, respectively) in a semi-arid area of Kenya, averaged over the two sets of material. Vertical bars indicate least significant differences (P = 0.05) among the entry types

View larger version (10K): [in a new window]   Fig. 2 Hierarchical classification of the eight environments obtained from the data of a) Set 1, and b) Set 2. Environment abbreviations as in Fig. 1

View larger version (37K): [in a new window]   Fig. 3 Dendrograms showing hierarchical classification of 36 entries in a) Set 1 and b) Set 2, based on environment-standardized grain yield data from eight Kenyan macro-environments. Abbreviations of genotypes as in Table 1

View larger version (25K): [in a new window]   Fig. 4 Performance plots of entry groups a) G1, ..., G9 in Set 1 and b) G1', ..., G8' in Set 2. For group compositions see Fig. 3

View larger version (19K): [in a new window]   Fig. 5 Biplots for Principal Components 1 and 2 obtained from the ordination of environment-standardized grain yield data of a) Set 1 and b) Set 2. Environments are characterized by vectors drawn from the origin. For environmental abbreviations see Fig. 1