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Information Journal Paper

Title

GROUPING OF ALFAALFA (MEDICAGO SATIVA) ECOTYPES THROUGH MULTIVARIATE STATISTICAL METHODS

Pages

  1-13

Abstract

 In order to detect GENETIC DIVERSITY and effective traits on FORAGE YIELD of 49 accessions of alfalfa (Medicago sativa), an experiment was used in a simple lattice design with two replications at the Research Center for Agricultural Resources of East Azarbaijan, Tabriz, Iran during 2006. Traits evaluated in this study were: fresh FORAGE YIELD, dry FORAGE YIELD, days to %50 flowering, plant height, number of stem, number of nods, internode length, growth rate and leaf to stem ratio. Analysis of variance revealed that there were significant differences among ecnotypes for the most of the traits under investigation. Mean comparisons indicated that the ecotypes Nos. 37 (France), 13 (Tabriz local), 25 (Gorgan), 12 (Sabzevar) and 46 (Heris) were higher producers both for FORAGE YIELD and quality under irrigation. They can be recommended as early maturing high forage producing and high growth rate ecotypes. Using WARD cluster analysis method, the 49 ecotypes of alfalfa were classified into 5 groups. Based on FORAGE YIELD and quality, groups 5 and 2 were promising, respectively. Principal components analysis indicated that first PC and second PC significantly affected high yield and quality, respectively.

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