Evaluation of Various Rosa Damascena Mill. Genotypes Grown under Rainfed Semi-arid Condition
AuthorJan Ahmadi, Somayeh
AffiliationUniv Arizona, Coll Agr & Life Sci, Sch Plant Sci
principal component analysis
MetadataShow full item record
PublisherTAYLOR & FRANCIS INC
CitationSomayeh 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
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AbstractRosa 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.
Note12 month embargo; published online: 18 September 2019
VersionFinal accepted manuscript