Evaluation of Various Rosa Damascena Mill. Genotypes Grown under Rainfed Semi-arid Condition
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Final Accepted Manuscript
Author
Jan Ahmadi, SomayehMortazaeinezhad, Forough
Zeinali, Hossein
Askari-Khorasgani, Omid
Pessarakli, Mohammad
Affiliation
Univ Arizona, Coll Agr & Life Sci, Sch Plant SciIssue Date
2019-09-18Keywords
Cluster analysisessential oil
flower yield
genetic distance
principal component analysis
Rosa damascene
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TAYLOR & FRANCIS INCCitation
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: 10.1080/00103624.2019.1667377Rights
© 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 2019ISSN
0010-3624Version
Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1080/00103624.2019.1667377
