APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS FOR BREEDING STRATEGIES OF SPRING SAFFLOWER (Carthamus tinctorius L.)

Year 2018, , 12 - 19, 15.06.2018

Arzu Kose , Oguz Onder Ozlem Bılır Ferda Kosar

https://doi.org/10.17557/tjfc.413818

Cited By: 20

Abstract

This study aimed to assess oil yield components and their interrelationships of spring safflower lines

and varieties by using different statistical techniques to increase the oil yield in safflower breeding

program. Field experiments were conducted at the Transitional Zone Agricultural Research Institute

in Eskisehir, Turkey during 2014, 2015 and 2016. Correlation, simple linear regression, stepwise

multiple regression, path, principal component and cluster analyze were used to investigate the

relationships between oil yield and some components in spring safflower. The results revealed that

characters affecting oil yield, which is important to determine selection criteria in plant breeding,

vary according to statistical methods. Therefore, to obtain reliable result, it is essential to use

multivariate statistical methods for scanning significant characters in studied material. According to

the numbers of common characters determined in different statistical analyzes; oil content, seed

weight, seed yield and number of head per plant would be important selection criteria for improved

oil yield in the breeding material studied. The lines and varieties may be used in hybridization

program and their hybrids may yield more transgressive sergeants for these characters for oil yield

improvement.

Keywords

Characters associations, Spring safflower, Selection criteria, Statistical analysis

References

• Afroz, R., M. S. H. Sharif and L. Rahman. 2004. Genetic variability, correlation and path analysis in mustard and rape (Brassica spp.). Bangladesh J. P1ant. Breed. Genet.17:59-63.
• Ahmadzadeh, A.R. 2013. Genetic diversity and classification of spring safflower (Carthamus tinctorius) cultivars using morphological characters. Advances in Bio. Research Adv. 4:125-131.
• Arslan, B. 2007. The path analysis of yield and its components in safflower (Carthamus tinctorius L.). J. of Bio. Sci. 7:668-672.
• Behnam, T., A. Said, S. Mohamadreza, B. B. Alireza and G. Gafari. 2011. Path analysis of seed and oil yield in safflower (Carthamus tinctorius L.). Int. J. Agric. Crop. Sci. 3:114-122.
• Bidgoli, A.M., G.A. Akbari, M.J. Mirhadi, E. Zand and S. Soufizadeh. 2006. Path analysis of the relationships between seed yield and some morphological and phonological traits in safflower (Carthamus tinctorius L.). Euphytica 148:261-268.
• Camas, N., A.K. Ayan and C. Cirak. 2005. Relationships between seed yield and some characters of Safflower (Carthamus tinctorius L.) cultivars grown in the middle black sea conditions. VIth Int. Safflower Conference. 06-10 June 2005. Istanbul.
• Camas, N. and Esendal, E. 2006.Estimates of broad-sense heritability for seed yield and yield components of safflower (Carthamus tinctorius L.). Hereditas 143:55-57.
• Gencer, O., S.N. Sinan and F. Gulyasar. 1987. Relationship between oil and traits using correlation and path coefficient analysis in safflower. J. Agric. Faculty 2:37-43.
• Golkar, P., A. Arzani and A.M. Rezaei. 2011. Determining relationships among seed yield, yield components and morpho-phenological traits using multivariate analyses in safflower (Carthamus tinctorious L.). Annals of Bio. Research 2:162-69.
• Golparvar, A.R. 2011a. Assessment of relationship between seed and oil yield with agronomic traits in spring safflower cultivars under drought stress condition. J. Res. Agric. Sci. 7:109-113.
• Golparvar, A.R. 2011b. Genetic improvement of oil yield in spring safflower cultivars under drought and non-drought stress conditions. Electronic J. of Biology 7:40-43.
• Hannachi, A., Z. Fellahi, H. Bouzerzour and A. Boutekrabt. 2013. Correlation, path analysis and stepwise regression in durum wheat (Triticum Durum Desf.) under rainfed conditions. J. of Agric. and Sustainability 3:122-131.
• Hussain, T., M.A. Tariq, I. Ahmad, M. Saghir, M. Batool, M. Safdar and M. Tariq. 2014. Characters association analysis in Safflower (Carthamus tinctorius L.). J. of Biology, Agric. and Healthcare 4:63-65.
• Karimi, M., A.R. Golparvar and M. Shams. 2013. Multivariate regression and path coefficient analysis of seed and oil yield in spring safflower (Carthamus tinctorius L.) cultivars. App. Sci. Report 4:184-186.
• Katar, D. 2013. Determination of efficiency of yield components on oil yield per plant in safflower breeding by different statistical methods. Global J. of Sci. Frontier Res. Agric. and Veterinary 13:11-20.
• Khan, N. and F.N. Naqvi. 2012. Correlation and path coefficient analysis in wheat genotypes under irrigated and non-irrigated conditions. Asian J. of Agric. Sci. 4:346-351.
• Khan, A.A., M.A. Alam, M.K. Alam, M.J. Alam and Z.I. Sarker. 2013. Correlation and path analysis of durum wheat (Triticum Turgidum L. Var. Durum). Bangladesh J. Agril. Res. 38:515- 521.
• Laei, G., H. Afshari, M.R.J. Kamali and A.A. Hassanzadeh. 2012. Study yield and yield components comparison correlation some physiological characteristics. 20 genotypes of bread wheat. Annals of Bio. Res. 3: 4343-435.
• Mahasi, M.J., R.S. Pathak, F.N. Wachira, T.C. Riungu, M.G. Kinyua and J.W. Kamundia. 2006. Correlations and path coefficient analysis in exotic safflower (Carthamus tinctorius L.) genotypes tested in the arid and semi-arid lands (Asals) of Kenya. Asian J. of Plant Sci. 5:1035-1038.
• Mozaffari, K. and A.A. Asadi. 2006. Relationship among traits using correlation, principal component and path analysis in safflower mutants in irrigated and drought stress condition. Asian J. of Plant Sci. 5:977-983.
• Omidi, T.A.H. 2000. Correlation between traits and path analysis for grain and oil yield in spring safflower. Sesame and Safflower Newsletter 15:78-83.
• Ozturk, O. 1994. Investigation on yield and yield components of some safflower cultivars under Konya ecological conditions, MS Thesis, Selcuk Univ., Grad. School of Nat. Sci. Dep. of Agronomy. 69 p.
• Patil, B.R., S.G. Deshmukh and M.P. Deshmukh. 1990. Studies on correlation and path analysis in safflower. Annals of Plant Physiology 4:86-91.
• Patil, H.S., 1998. Genetic variability, association and path analysis in safflower. Indian J. Agric. Res. 32:46-50.
• Samonte, S.O., L.T. Wilson and A. Mc Clung. 1998. Path analysis of yield and yield-related traits of fifteen diverse rice genotypes. Crop Sci. 38:1130- 1136.
• Slavkovic, L., B. Skrbic, N. Miljevic and A. Onjia. 2004. Principal component analysis of trace elements in industrial soils. Environ. Chemistry Letters 2:105-108.
• Tonk, F. A., E. İlker and M. Tosun. 2011. Quantative inheritance of some wheat agronomic traits. Bulgarian J. of Agric. Sci.17:783-788.
• Topal, M., M. Ozdemir, V. Aksakal, N. Yildiz and U. Dogru. 2004. Determination of the best nonlinear function in order to estimate growth in Morkaraman and Awassi lambs, Small Rumin Res. 55:229-232.
• Topal, M., E. Ozturk and T. Polat. 2010. Path analysis of seed yield components using different correlation coefficients in safflower (Carthamus tinctorius L.). The J. of Animal and Plant Sci. 20:220-224.
• Tuncturk, M. and V. Ciftci. 2004. Relationships among traits using correlation and path coefficients analysis in safflower (Carthamus tinctorius L.) sown different fertilization levels and row spacing. Asian J. of Plant Sci. 3:683-686.
• Zafarnaderi, N, S. Aharizad and S.A. Mohammadi. 2013. Relationship between grain yield and related agronomic traits in bread wheat recombinant inbred lines underwater deficit condition. Annals of Bio. Res. 4:7-11.