Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd 2018

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1 /7 / / Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd /10/19 : 90/3/17 : ( ). %79 %21... :.

2 Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd 2018

3 Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd 2018 NIR NearInfrared Reflectance Spectrometery

4 . Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd 2018 X X Y= X X X X X5 R2 X y X X r = r = r = r = SAS r

5 Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd 2018 X13 X12-0/14 X11-0/03-0/18 X10-0/73-0/17 0/19 X9 0/39 0/08 0/76-0/13 X /7 / / -1 0/07-0/01 0/11-0/03 0/27 X7-0/34 0/35-0/21 0/03 0/67-0/29 X6 0/72-0/18 0/74-0/33 0/12 0/93-0/34 X5 0/27 0/20 0/12 0/37-0/18-0/23 0/29-0/13 X4 0/33 0/57 0/48-0/25 0/65-0/47 0/05 0/50 0/01 X3 0/63 0/30 0/97 0/72-0/21 0/78-0/34 0/11 0/93-0/34 X2 X1 0/ : -0/40-0/23-0/12-0/35-0/45 0/58-0/04-0/07 0/10-0/26 0/08 0/33 0/60 0/38 0/29 0/39-0/23 0/37-0/58 0/22 0/16-0/42 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X /7 / /

6 r Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd 2018 r R 2 = 0.65 R2= 0.79 R= 0.29 X1 X2 X3 X4 X5

7 x p= Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd 2018 p= p= p= p= x x x x r

8 Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd Amarantath, K.C. and S.R. Viswantaha Path coefficient analysis for some quantitative characters in soybean Journal of Agricultural Sciences. 24(3): Bahardwaj, H.L. and A.S. Bhagosari Harvest index yield and physiological characteristics of soybean related to seed size. Soybean Genetics Newsletter, 16: Ball, R.A., R.W. McNew, E.D. Vories, J.C. Keisling and L.C. Purcell Path analysis of population deity effects on short-season soybean yield. Agron. J., 93: Bangar, N.D., G.D. Mukhekar, D.B. Lad and D.G. Mukhedkar Genetic variability, correlation and regression studies in soybean. Journal of Maharaashtra Agricultural Universities 28: Bhandarkar, S Studies on genetic variability and correlation analysis in soybean(glycin max L.Merrill). Mysore Journal of Agricultural sciences 33(3): Board, J.E Yield components related to seed yield in determinate soybean crop science 27: Chettri, M., S. Mondal and R. Nath Studies on correlation and path analysis in soybean (Glycin max L.Merrill) in the Darjeeling hills. Journal of Hill Research 16(2): Hafez, Y.S Nutrient composition of different varieties strai of soybean. Nutrition Reports International. 28: Hallauer, A.R. and J.B. Miranda Quantitative Genetics in Maize Breeding.Iowa State University, Ames, Iowa. 468 pp.

9 Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd /7 / / 10. Mahajan, C.R., P.A. Patil, S.S. Mehrtre and R.D. Ghatage Genotypic variability and heritability of some quantitative characters in soybean. Annals of Agricultural Research. 151: Miars, R.P.S. and V.P. Singh Evaluation and utilization of soybean germplasm. World Soybean Researches Conference IV. Argentina. Seed and Plant Journal. 24: MishraA. K., S.A. Ali, R.C. Tiwary and R.S. Raghuwahi Correlation and Path coefficient analysis in segregating populatio of soybean, International Journal Tropical Agriculture. 12: Ramanujam, S., A.S. Tiwari and R.B. Mehra Genetic divergence and hybrid performance in mung bean. Theoretical and Applied Genetics 45: Ramgiry, S.R. and P. Raha Correlation and path analysis for yield and qualityattributes in soybean (Glycine max (L.) Merrill). Crop Research Hisar 13: Rezaizad, A An investigation on genetic diversity in soybean cultivars. M.Sc. Thesis. Department of Agronomy and Plant Breeding, College of Agriculture,Tehran University, Karadj, Iran. Seed and Plant Journal. 24: Saleem, M. and K. Shahzad Interrelatiohipe and path analysis of yield attributes in soybean. International Journal Agriculture and Biological p. 17. Shirastava, M.K. and R.S. Shukla Path coefficient analysis in diverse genotype of soybean (Glycin Max L.) Adv. in plant sciences. 4: Singh, S.B. and K.S. Labana Corellation and path analysis in sunflower. Corn lmpr., Dept. in plant Breeding, Punjab Agricultural University, Ludhiana, India 17: Singh, J. and H.S. Yadava Factors determining seed yield in early generation of soybean.crop Research Hisar. 20: Sudaric, A., M. Vrataric and T. Duvnjak Quantitative genetic analysis of yield components and grain yield for soybean cultivars. Agriculture Scientific and Professional Review 8(2): Taware, S.P., G.B. Halvanker Correlation and path analysis in soybean hybrids Soybean Genet Newsletter 24: Zeinali Khanghah, H. and A.R. Sohani Genetic evaluation of some important agronomic traits related to seed yield by multivariate of soybean analysis methods. Iranian Journal of Agricultural Sciences. 30: (In Persian).

10 Correlation Analysis of Agronomic Traits, Morphological and Phonological 30 Soybean lines Golestan Province Downloaded from jcb.sanru.ac.ir at 23: on Wednesday October 3rd 2018 H. Hosseinpor 1, O. Alishah², A. Mohammadi 2 and E. Hezarjaribi 3 1- M.Sc. Student, Azad Islamic University- Karaj Branch 2- Assistant Professor of Cotton Research Ititute of Iran 3- Assistant Professor, Azad Islamic University-Karaj Branch 4- Itructor, Agricultural Research Center of Golestan Province Abstract In order to evaluate relatio between phonological trai, yield components and grain yield of 30 soybean lines with different maturity groups, an experiment conducted as a randomized complete block design with three replicatio at the agricultural research station of agriculture and natural resources research center, Gorgan, Golestan Province in traits of vegetative and reproductive growth stages, yield components, seed protein and its oil content were evaluated. Number of days to flowering, number of branches per plant, number of pods on main branches, the number of days to maturity, yield components and grain yield had positive correlation and significant effect. Grain protein and grain shell weight ratio had a significant and negative correlation with grain yield. In the stepwise regression model,79% changes in seed yield by number of days to flowing, seed number per plant, number of branches per plant, seed protein percent and weight of shell: seed ratio and 21% of remaining by other effect could be explained. The 5 are mentioned characters were used to analysis. Results showed that most direct and positive effect on seed yield related to the number of days to flowing and the number of branches per plant. Keywords: Soybean, Genetic diversity, Simple correlation, Path analysis