Correlation and Path Analysis of Yield and Yield Components of Safflower Genotypes under Late Season Drought Stress Conditions

Subject Areas : Journal of Crop Ecophysiology

Seyedeh Zahra  Hosseini ¹ (Scientific Staff Member, Department of Biology, Faculty of Basic Sciences, Khatam -Alanbia University of Technology, Behbahan, Iran)

Received: 2015-09-06 Accepted : 2016-09-13 Published : 2016-10-22

Keywords: analysis of variance, stepwise regression, Seed weight, genetic correlation,

Abstract :

To calculate correlation coefficients and path analysis of some traits related to grain yield, 15 genotypes of safflower were studied under non-stress and drought stress conditions at two different sites (with 10 meter distance) in the field of College of Agriculture of Lorestan University, Iran. Each experiment was conducted in a randomized complete block design with three replications. Analysis of variance showed that there were significant differences among the genotypes for all measured traits and yield in both stress and non- stress conditions. By using stepwise regression, best model was estimated for the two conditions. Sequential path analysis of the correlation between grain yield and other traits showed that days to start flowering, 1000-seed weight and stem diameter had direct effects on grain yield under non-stress conditions, while under drought conditions, seed weight per plant and 1000-seed weight had direct and positive effects on grain yield. Thus, to obtain high yielding varieties of safflower under drought stress condition, we showed attempt to select varieties with high seed weight per plant.

References:

Abolhasani, K., and G.E. Saeidi. 2006. Valuation of drought tolerance of safflower lines based on tolerance and sensitivity indices to water stress. Journal of Science and Technology of Agriculture and Natural Resources. 10 (3):407-419. (In Persian).

Ahmadzadeh, A.R., E. Majiedi, B. Alizadeh, and A. Omidi. 2010. Investigation of Study the yield, its yield components and morphological traits in the spring safflower (Carthamus tinctorius L.) using multivariate statistical approaches. Journal of New Agricultural Sciences. 6(18): 1-10. (In Persian).

Amini, F., G. Saeidi, and A. Arzani. 2008. Relationship among seed yield and its components in genotypes of safflower (Carthamus tinctorius L.). JWSS - Isfahan University of Technology. 12(45): 525-535. (In Persian).

AMOS. 2010. AMOS 19. Users Guied. Chicago, IL, USA

Azeez, M.A., and J.A. Morakinyo. 2011. Path Analysis of the relationships between Single plant seed yield and some morphological traits in sesame (Genera sesamum and ceratotheca). International Journal of Plant Breeding and Genetics. 5: 358-368.

Bagheri, A., B. Yazdi-Samadi, M. Taeb, and M.R. Ahmadi. 2001. Study of correlation and Relation Between plant yield and quantitative and qualitative other traits in safflower. Iranian Journal of Agricultural Science. 32(2): 295-307. (In Persian).

Beyyavas, V., H. Haliloglus, O. Copur, and A. Yilmaz. 2011. Determination of seed yield and yield components of some safflower (Carthamus tinctorius L.) cultivars, lines and populations under the semi-arid conditions. South African Journal of Biotechnology. 10:527-534.

Blum, A. 2010. Plant Breeding for Water-Limited Environments. Springer Publishing, New York, NY. 272 p.

Burhan, A. 2007. The path analysis of yield and its components in safflower (Carthamus tinctorius L.). Journal of Biological Sciences. 7:668-672.

Dabiri, M., M. Bahramnejad, and M. Baghbanzadeh. 2009. Ammonium salt catalyzed multicomponent transformation: simple route to functionalized spirochromenes and spiroacridines. Tetrahedron. 65: 9443-9447.

Hair, J.F., W.C. Black, B.J. Babin, R.E. Anderson, and R.L. Tatham. 2006. Multivariate data analysis. 7^th Eds, Prentice Hall Upper Saddle River, NJ. 816p.

Hajghani, M., M. Saffari, and A.A. Maghsoudi Moud. 2013. Study of several important yield correlated agronomic traits in spring safflower varieties via path analysis. Agronomy Journal (Pajohesh & Sazandegi). 99: 18-23. (In Persian).

Kar, G., A. Kumar, and M. Martha. 2007. Water use efficiency and crop coefficients of dry season oilseed crops. Agricultural Water Management. 87: 73-82.

Majidi, M.M., R. Dehghan Kouhestani, R. Malekinejad, and G. Saeidi. 2015. Study of genetic diversity of grain yield-associated traits in Iranian and exotic Safflower (Carthamus tinctorius) germplasm. Journal of Crop Production and Processing. 5(16): 1-13. (In Persian).

Majidi, M.M., and A.F. Mirlohi. 2009. Genetic variation, heritability and correlations of agro- morpholical traits in tall fescue (Festuca arundinacea). Euphytica. 167: 323-331.

Maleki Nejad, R., and M.M. Majidi. 2015. Association of seed yield, oil and related traits in Safflower genotypes under normal and drought stress. Iranian Journal of Field Crops Research. 13 (1): 109-119. (In Persian).

Mohammadi, M., P. Sharifi, R. Karimizadeh, and M.K. Shefazadeh. 2012. Sequential path analysis for determination of relationships between yield and oil content and yield components of safflower (Carthamus tinctorius L.). International Journal of Agriculture: Research and Review. 2(4): 410-415.

Naserirad, H., A. Soleymanifard, R. Naseri, and S. Nasiri. 2013. Study of correlation between important agronomic traits and path analysis for grain and oil yield in Safflower. International Journal of Agronomy and Plant Production. 4(4): 670-673.

Neder, D.G., F.R. Costa, R.L. Edvan and L.T.S. Filho. 2013. Correlations and path analysis of morphological and yield traits of cactus pear accessions. Crop Breeding and Applied Biotechnology. 13: 203-207.

Nikfekr, R. and G. Saeidi. 2015. Study of the relationships among agronomic traits and yield components in some breeding lines of Safflower (Carthamus tinctorius L.). Journal of Crop Production and Processing. 5(16): 65-73. (In Persian).

Ram, M. 2014. Plant Breeding Methods. PHI Learning Pvt. Ltd., Dehli, India. 724p.

Rebetzke, G.J., R.A. Richards, A.G. Condonl, and G.D. Farquhar. 2006. Inheritance of carbon isotope discrimination in bread wheat (Triticum aestivum L.). Euphytica. 14: 324-341.

Roy, D., 2012. Biometrical Genetics. Alpha Science International, Oxford, U.K. 410p.

Sabaghnia, N., H. Dehghani, B. Alizadeh, and M. Mohghaddam. 2010. Interrelationships between seed yield and 20 related traits of 49 canola (Brassica napus L.) genotypes in non-stressed and water-stressed environments. Spanish Journal of Agricultural Research. 8: 356-370.

Salamati, M.S. 2012. Path analysis on seed yield components on Iranian Carthamus tinctorius L. genotypes. Agronomy Journal (Pajouhesh & Sazandegi). 97: 105-111. (In Persian).

SAS Institute Inc. 2010. Base SAS 9.2 procedures guide: statistical procedures, third edition: Cary, NC: SAS Institute Inc.

Sharif-Moghaddasi, M. 2009. Comparison of winter rapeseed cultivars for determination of suitable variety for Saveh region. Dynamic Agricultural. 6(1): 75-80. (In Persian).

Esmaieli Monazah, A., H. Omidi, and A. Bostani. 2012. Effect of drought stress on grain yield, proline changes, photosynthetic pigments, and leaf relative water content of the new genotypes of safflower. Journal of Water Research in Agriculture. 26(2): 187-196. (In Persian).

 SPSS Inc. 2010. IBM SPSS statistics 19 core system user’s guide. USA: SPSS Inc., an IBM Company Headquarters.

Takeda, S., and M. Matsuoka. 2008. Genetic approaches to crop improvement: responding to environmental and population change. Nature. 9: 444-457.

Tavakoli1, V., M.M. Majidi, A.F. Mirlohi, and M.R. Sabzalian. 2012. Syudy of relationships between traits and path analysis in cultivated (Carthamus tinctorius) and wild (Carthamus oxyacanthus) safflower genotypes under normal and water deficit conditions. Electronic Journal of Crop Production. 5(3): 45-62. (In Persian).