Comparison of flower yield among Rosa damascena Mill. genotypes from central regions of Iran

Document Type : Research Paper

Authors

Research Institute of Forests and Rangelands, P.O.Box 13185-116, Tehran, Iran.

Abstract

Rosa damascene Mill. genotypesfrom central parts of Iran, were cultivated at the experimental field of Research Institute of Forests and Rangelands, using a three replicated randomized complete blocks design. 17 accessions were compared based on flower yield and related traits, including flower number per ha, single flower weight, flower yield and number per plant and dry matter percentage during 2001-2004. Evaluation of the obtained data was performed using ANOVA, mean classification and correlation analysis. Genotypes showed significant differences for flower yield and number per ha, flower yield and number per plant, dry matter percentage (P<0.01)and single flower weight (P<0.05). Comparison of means, classified the genotypes in different groups. According to the 4-year means, yazd2 and Semnan2 accessions produced highest and lowest flower yield and number per ha, respectively. The highest amount of flower weight was observed in the accession collected from Arak, but the lowest amount belonged to Isfahan7 accession. Also, highest dry matter percentage of flower was obtained in Yazd2 accession, while the lowest amount was observed in accession collected from Tehran. Significant correlations were also observed between different traits. A phenotypic correlation coefficient (r= 0.96) between flower yield and number per ha indicates a significant (P<0.01) positive relationship between these traits. According to the results, a wide range of variation among the 17 genotypes was observed in terms of the traits under study. It could be concluded from the different analyses that the genotypes may be grouped based on geographical origins. Also, Flower yield and components could be used as appropriate selection factors for classification of Rosa damascena genotypes of central regions of Iran.

Keywords


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