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    Evaluation of Various Rosa Damascena Mill. Genotypes Grown under Rainfed Semi-arid Condition

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    Ahmadi_et_al.,_Final_Accepted_ ...
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    Author
    Jan Ahmadi, Somayeh
    Mortazaeinezhad, Forough
    Zeinali, Hossein
    Askari-Khorasgani, Omid
    Pessarakli, Mohammad
    Affiliation
    Univ Arizona, Coll Agr & Life Sci, Sch Plant Sci
    Issue Date
    2019-09-18
    Keywords
    Cluster analysis
    essential oil
    flower yield
    genetic distance
    principal component analysis
    Rosa damascene
    
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    Publisher
    TAYLOR & FRANCIS INC
    Citation
    Somayeh Jan Ahmadi, Forough Mortazaeinezhad, Hossein Zeinali, Omid Askari-Khorasgani & Mohammad Pessarakli (2019) Evaluation of Various Rosa Damascena Mill. Genotypes Grown under Rainfed Semi-arid Condition, Communications in Soil Science and Plant Analysis, 50:20, 2534-2543, DOI: 10.1080/00103624.2019.1667377
    Journal
    COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
    Rights
    © 2019 Taylor & Francis Group, LLC.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Rosa damascena Mill L. also known as "Damask Rose" and "Gole Mohammadi" is a well-recognized high value ornamental and medicinal plant, which can be used in food, perfume and medicine industries. This study aimed to analyze the genetic diversity of 10 Rosa damascena genotypes by evaluating their morphological traits, flower yield and oil content to find the best genotype with high productivity under rainfed condition in Lorestan province, Iran. This study was conducted in a completely randomized design trial with three replications. The data analyses, using Pearson's correlation coef?cients, showed that flower dry yield per hectare was significantly and positively correlated with, flower dry weight per plant, flowering period, plant height, number of flowers per plant, fresh and dry weight of petals, average weight of each flower, and number of flowers per day. Principal component (PC) analysis revealed that the first three PCs, respectively, called as flower yield, receptacle, and flower size components accounted for 88.33% of the total variation. The genotypes were grouped into four clusters in which the highest genetic distance was observed between Kermanshah and Fars1 genotypes. Fars1 and Yazd1 genotypes had the highest productivity in terms of, respectively, flower yield and oil content and showed the high potential for cultivation under rainfed condition in Lorestan province.
    Note
    12 month embargo; published online: 18 September 2019
    ISSN
    0010-3624
    DOI
    10.1080/00103624.2019.1667377
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1080/00103624.2019.1667377
    Scopus Count
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    UA Faculty Publications

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