Investigations of Some Morphological, Pomological, and Physiological Parameters with Mineral Content of Different Rosa L. Taxa Grown under Greenhouse Condition

Authors : Ibrahim Halil HATİPOGLU, Bekir Erol AK, Birgül DİKMETAŞ, Meral DOĞAN

Pages : 853-867

Doi:10.29133/yyutbd.1137007

View : 17 | Download : 5

Publication Date : 2022-12-30

Article Type : Research Paper

Abstract :Horticulture is a discipline mainly concerned with the cultivation of plant material for food supply, medicinal use, or functional and aesthetic purposes by humans, they are a genetically diverse group and play an important role in the economy of modern society, as well as at the center of the healthy diet of the urban population. In this respect, Rosa L. are important plants for traditional pharmacological practices and landscape studies. In this context, within the scope of the research, some morphological, pomological, physiological, and mineral contents of important taxa such as Rosa alba L.‘Semiplena’, R. banksiae R.Br. cv ‘Alba’, R. canina L.’Yildiz’, R. centifolia L., R. chinensis Jacq. ‘Old Blush’, R. foetida Herrm., R. heckeliana Tratt. subsp. vanheurckiana insert ignore into journalissuearticles values(Boiss. Ö. Nilsson);, R. hemispharica J.Herrm., R. x odorata insert ignore into journalissuearticles values(hort ex. Andrews); Sweet ‘Louis XVI’, R. pisiformis insert ignore into journalissuearticles values(Christ); Sosn., R. x damascena Mill., and R. x damascena Herrm. ‘Semperflorens’insert ignore into journalissuearticles values(Loisel. & Michel); Rowley for landscape design and horticulture were determined. Within the scope of the research, the morphological, physiological, and pomological characteristics and nutrient contents of taxa adapted to semi-arid conditions and different Rosa taxa spreading in Anatolia were determined. Principal component analysis and cluster analysis were also used to determine the similarities and differences of these parameters measured in different Rosa L. taxa.
Keywords : Rosa L, horticulture, cluster analyses, PCA