Determination of important plant characteristics in summer savory Satureja hortensis by some statistical methods

Year 2017, Volume: 10 Issue: 2, 113 - 121, 15.08.2017

Duran Katar Murat Olgun Doğan Aydın Nimet Katar

Abstract

The aim of this study is to determine the effectiveness of plant characteristics on dry leaf weight by different statistical methods and to lead breeders to determine the effect of plant characteristics and which of plant characteristics could be efficiently used in breeding programs. Seeds of S. hortensis genotypes were obtained from Black Sea Agricultural Research Institute. Analysis of six statistical analyses stressed that auxiliary branch number, wet plant weight, dry plant weight and wet leaf weight are found as the most important and efficacious characters for dry leaf weight in summer savory. Such characters could be used to guide future breeding studies and management of summer savory genotypes. Besides, they will create opportunity to increase success of selection summer savory improvement programs and to develop high yielding genotypes with high drug quality

Keywords

Satureja hortensis, plant characteristics, statistical methods, genotype

Sater bitkisinde Satureja hortensis L. bazı istatistik metotlar kullanılarak önemli bitkisel karakterlerin belirlenmesi

Abstract

Bu araştırmada bazı istatistik metotları kullanılarak sater ıslah programlarında çeşit geliştirmede etken olacak önemli bitkisel karakterlerin belirlenmesi amaçlanmıştır. Çalışmada kullanılan sater tohumları Karadeniz Tarımsal Araştırma Enstitüsü Müdürlüğü’nden temin edilmiştir. Bitki kuru yaprak verimi bağımlı değişken alınarak, incelenen diğer özelliklerin kuru yaprak verimi üzerine etkisi değerlendirilmiştir. Araştırma sonuçlarına göre; yan dal sayısı, yaş bitki ağırlığı, kuru bitki ağırlığı ve yaş yaprak ağırlığının kuru yaprak ağırlığı üzerine etkili olan unsurlar olduğu, bu unsurların kullanılmasıyla başarılı bir sater ıslah programının yürütülebileceği, ve yüksek drog kalitesine sahip çeşit geliştirilebileceği sonucuna varılmıştır

Keywords

Satureja hortensis, bitki unsurları, istatistiki metotlar, genotip

References

• Abdullahi, F. B., Usman, A., Cole, A. T. (2010). Constructing the best regression model for maiwa variety. Pakistan J. of Nutrition, 9(4), 380-386.
• Acevedo, R., Morelock, J., Olivieri, R. A. (1989). Modification of coral reef zonation by terrigenous sediment stress. Palaios, 4, 92-100.
• Alizadeh, A., Khoshkhui, M., Javidnia, K., Firuzi, O., Tafazoli, E., Khalighi, A. (2010). Effects of fertilizer on yield, essential oil composition, total phenolic content and antioxidant activity in Satureja hortensis L. (Lamiaceae) cultivated in Iran. Journal of Medicinal Plants Research 4(1), 33-40.
• Andales, A. A., Gren, T. R., Ahuja, L. R., Erksine, R. H., Peterson, G. A. (2007). Temporally stable patterns in grain yield and soil water on a dry land catena. Agricultural Systems. 94, 119-127.
• Andi, S. A., Nazeri, V., Zamani, Z., Hadian, J. (2011). Morphological diversity of wild Origanum vulgare (Lamiaceae) in Iran. Iranian Journal of Botany. 17, 88- 97.
• Austin, D. F., Lee, M. (1996). Comparative mapping in F2: 3 and F6: 7 generations of quantitative trait loci for grain yield and yield components in maize. Theor. Appl. Genet. 92, 817–826.
• Buhlmann, P., Hothorn, T. (2007). Boosting Algorithms: Regularization, Prediction and Model Fitting. Statistical Science, 22, 477–505.
• Buhlmann, P., van de Geer, S. (2011). Statistics for High-Dimensional Data: Methods, Theory and Applications, New York: Springer.
• Davis, P. H. (1982). Flora of Turkey and the East Aegean Islands, cilt 7. Edinburg University Press, Edinburgh, p. 319.
• Ekiz, H. E., Hussain, K., Bavik, A. (2006), “Perceptions of service quality in North Cyprus national airline”, Tourism and Hospitality Industry 2006 – New Trends in Tourism and Hospitality Management, Proceedings of 18th Biennial International Conference, Croatia: Faculty of Tourism and Hospitality Management, Opatija, May 3-5, 03-05, 778-90.
• Frank, I. E., Friedman, J. H. (1993). A Statistical View of Some Chemometrics Regression Tool. Technometrics, 35, 109-135.
• Hiltbrunner, J., Streit, B., Liedgens, M. (2007). Are graining densities an opportunity to increase grain yield of winter wheat in a living mulch of white clover? Field Crops Research. 102, 163–171.
• Hocking, R. R. (1976). A Biometrics Invited Paper: The Analysis and Selection of Variables in Linear Regression. Biometrics, 32, 1-49.
• Katar, D., Arslan, Y., Subaşı, İ., Bülbül, A. (2011). Ankara Ekolojik Koşullarında Sater (Satureja hortensis L) Bitkisinde Uçucu Yağ ve Bileşenlerinin Ontogenetik Varyabilitesinin Belirlenmesi. Tekirdağ Ziraat Fakültesi Dergisi, 8.
• Macit, M. G., Köse, Y. B. (2015). Medicinal plants used for folk medicine in Oltu (Erzurum/Turkey). Biological Diversity and Conservation, 8(2), 74-80.
• Massart, L. M, Vandenginste, B. G. M., Buydens, L. M. C., De Jong, S., Lewi, P.J., Smeyers-Verbeke, J. (1997) Handbook of Chemometrics and Qualimetrics: Part A, p. 200.
• Milligan, G. W. (1980). An Examination of the Effect of Six Types of Error Pertubation on Fifteen Clustering Algorithms. Psychometrika, 45, 325-342.
• Mollasadeghi, V., Imani, A. A., Shahryari, R., Khayatnezhad, M. (2011). Correlation and path analysis of morphological traits in different wheat genotypes under end drought stress condition. Mid-East J. Sci. Res., 7(2), 221-224.
• Montgomery, D. C., Peck, E. A. (1982). Introduction to Linear Regression Analysis. John Wiley & Sons.
• Muca, B., Yıldırım, B., Özçelik, Ş., Koca, A. (2012). Isparta’s (Turkey) poisonous plants of public access places. Biological Diversity and Conservation, 5(1), 23-30.
• Mumivand, H., Babalar, M., Hadian, J., Fakhr Tabatabaei, M. (2011). Plant growth and essential oil content and composition of Satureja hortensis L. cv. Saturn in response to calcium carbonate and nitrogen application rates. J. Med. Plants Res., 5(10), 1859-1866.
• Özdamar, K. (1999). Statistical Data Analysis with Packet Programs. Vol: I-II, Kaan Printing house, 2. press, Eskisehir. 548 s.
• Press, S. J., Wilson, S. (1978). Choosing Between Logistic Regression and Discriminant Analysis. Journal of the American Statistical Association, 73, 699-705.
• Rencher, C. (2002). Methods of Multivariate Analysis (Second Edition). 727 pages, A Wiley-Interscience John Wiley & Sons Publication, ISBN 0-471-41889-7.
• Satıl, F., Dirmenci, T., Tümen, G., Turan, Y. (2008). Commercial and Ethnic Uses of Satureja (Sivri Kekik) Species in Turkey. Ekoloji, 17, 1-7.
• Shamsi, K., Petrosyan, M., Noor-mohammadi, G., Haghparast, A., Kobraee, S., Rasekhi, B. (2011). Differential agronomic responses of bread wheat cultivars to drought stress in the west of Iran. Afric. J. Bio., 10(14), 2708-2715.
• Sifola, M.I., Barbieri, G. (2006). Growth, yield and essential oil content of three cultivars of basil grown under different levels of nitrogen in the field. Sci. Hortic., 108(4), 408-413.
• Telci, İ., Hisil, Y. (2008). Biomass yield and herb essential oil characters at different harvest stages of spring and autumn sown Coriandrum sativum. Eur. J. Hortic. Sci., 73(6), 267–272.
• Topal, M., Ozdemir, M., Aksakal, V., Yıldız, N., Doğru, U. (2004). Determination of the best nonlinear function in order to estimate growth in Morkaraman and Awassi lambs. Small Rumin. Res. 55, 229-232.
• Wills, R. B. H., Bone, K., Morgan, M. (2000). Herbal products: active constituens, modes of action and quality control. Nitrit. Res. Rev., 13, 47–77.
• Zaefizadeh, M., Ghasemi, M., Azimi, J., Khayatnezhad, M., Ahadzadeh, B. (2011). Correlation analysis and path analysis for yield and its components in hulless barley. Advance in Environmental Biology, 5(1), 123-126.