Legume Research

  • Chief EditorJ. S. Sandhu

  • Print ISSN 0250-5371

  • Online ISSN 0976-0571

  • NAAS Rating 6.80

  • SJR 0.391

  • Impact Factor 0.8 (2024)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Submit

Legume Research, volume 38 issue 2 (april 2015) : 182-184

Studies on genetic variability, character association and path analysis for yield and its contributing traits in soybean [Glycine max (L.) Merrill]

Sudhanshu Jain*, S.C.Srivastava, S.K.Singh, Y.M.Indapurkar, B.K.Singh
1Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior-474 002, India.
Cite article:- Jain* Sudhanshu, S.C.Srivastava, S.K.Singh, Y.M.Indapurkar, B.K.Singh (2024). Studies on genetic variability, character association and path analysis for yield and its contributing traits in soybean [Glycine max (L.) Merrill]. Legume Research. 38(2): 182-184. doi: 10.5958/0976-0571.2015.00031.4.

ABSTRACT

The experiment was conducted during kharif 2010-2011 with 41 genotypes of soybean to study genetic variability, correlation and path coefficient analysis of yield and its component characters. In general, PCV were higher than the GCV values for all the characters. The broad sense heritability estimates were high for all the 9 characters. Correlation and path coefficient analysis for seed yield/plant and its components indicated that out of 9 characters, seed yield/plant showed positive and significant association with biological yield, pods per plant and 100-seed weight indicating that an intense selection for these characters will improve seed yield in soybean. Path coefficient analysis revealed that biological yield, number of pods per plant and 100 seed weight were major characters influencing seed yield directly and indirectly. The results indicated that biological yield is responsible for manipulation of seed yield in soybean.

REFERENCES

  1. Burton, G. W., (1952).Quantitative inheritance in grasses. Proc., 6th International Grassland Congress 1: 277-283.
  2. Dewey, D.R. and Lu, K.H. (1959).A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal 51:515-519.
  3. Johnson,H. K.; Robinson, H.F. and Comstock R.E.1955.Genetic and environmental variability in soybean. Agronomy Journal 47: 314-318.
  4. Karnwal, Mukesh Kumar and Singh, Kamendra.(2009) Studies on genetic variability, character association and path coefficient for seed yield and its contributing traits in soybean [Glycine max (L.) Merrill] Legume Research 32:70- 73.
  5. Mir, Showkat and S. D. Tyagi (2010).Correlation and Path Coefficient Analysis of Some Quantitative Traits in Soybean (Glycine max L. Merrill.) Research Journal of Agricultural Sciences 1:102-106.
  6. Rajanna, M.P., Vishwanatha, S. R., Kulkarni, R. S. and Ramesh, S. (2000).Correlation and path analysis in soybean (Glycine max L. Merrill). Crop Reserch Hisar 20: 244-247.
  7. Ramgiry, S.R. and Raha, P. (1997). Correlation and path analysis for seed yield and quality attributes in soybean. Crop Research Hisar 13:137-142.
  8. Singh, J. and Yadav, H. S. (2000). Factors determining seed yield in early generation of soybean. Crop Research Hisar 20:233-243.
  9. Webber, C.R. and Murthy, B.R. (1952).Heritable and non heritable relationships and variability of oil content and agronomic characters in F2 generation of soybean crosses. Agron. J., 44: 202-209.
  10. Yadav, Narendra Singh., Singh, Kamendra., Pushpendra., Singh, B.V., Pandey, Kamal and Gupta, M.K. (2009).Correlation and path coefficient study in elite breeding lines of soybean [Glycine max (L.) Merrill.]. Pantnagar Journal of Research 7:155-161.
Reviewed By

Download Article
In this Article
    Contact us
    Follow us

    Editorial Board

    View all (0)