Loading...

Legume Research

Assessment of genotypic variation in soybean (Glycine max)

DOI: 10.5958/0976-0571.2015.00042.9    | Article Id: LR-2966 | Page : 174-177
Citation :- Assessment of genotypic variation in soybean (Glycine max) .Legume Research.2015.(38):174-177
Amit Kumar*, Avinash Pandey and A. Pattanayak amit4118@gmail.com
Address : ICAR Research Complex for NEH Region, Umiam, Meghalaya-793 103, India.

Abstract

Forty-two soybean genotypes were evaluated for their agro-morphological traits and the extent of genetic variability. Analysis of variance and mean performance for yield and its components revealed significant differences among all the genotypes for all the characters. Correlation was also found significant with yield and its component traits. The path analysis indicated that number of clusters (0.402) and number of pods (0.313) had shown highest direct effect on grain yield and thus selection based on these traits will be quite fruitful. Cluster diagram based on agro-morphological traits proposed two major clusters. The experimental data revealed that 3 principal components having greater than one eigenvalues contributed 82.66% of the total variation. Number of pods (0.508), number of clusters (0.506), number of branches (0.367), plant height (0.33) and days to flowering (0.360) were major contributors to PC1. Yield per ha (0.733) and seed weight (0.403) had contributed more positively to PC2.

Keywords

Divergence Genotypic variation Path analysis Soybean.

References

  1. Aditya, J.P., Bhartiya, P. and Bhartiya, A. (2011). Genetic variability, heritability and character association for yield and component characters in soybean [G. max (L.) Merrill]. Journal of Central European Agriculture 12(1): 27-34.
  2. Al-jibouri, H. A., Miller, P. A. and Robinson, H. F. (1958). Genotypic and environmental variances in an upland cotton crop of interspecific origin. Agronmy Journal 50: 633-634.
  3. Burton, G. W. and Devane, E. H. (1953). Estimating heritability in tall fescue (Festuca arundanacea) from replicated clonal material. Agronomy Journal 45: 478-81.
  4. Chung, G. and Singh, R. J. (2008). Broadening the Genetic Base of Soybean: A Multidisciplinary Approach. Critical Review in Plant Sciences 27: 295–341.
  5. Dewey, D. R. and Lu, K. H. (1959). A correlation and path coefficient analysis of components of crested grass seed production. Agronomy Journal 51: 515-18.
  6. Hanson, C. H., Robinson, H. F. and Comstock, C. E. (1956). Biometrical studies of yield in segregating populations of Korean laslpedegza. Agronomy Journal 48: 268-72.
  7. Johnson, H. W., Robinson, H. F. and Comstock, R. E. (1955). Estimates of genetic and environmental variability in soybean. Agronomy Journal 47: 314-18.
  8. Karnwal, M. K. and Singh, K. (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(1): 70-73.
  9. Malik, M. F. A., Qureshi, A. S., Ashraf, M. and Ghafoor, A. (2006). Genetic variability of the main yield related characters in soybean. International Journal of Agriculture and Biology 8(6): 815-819.
  10. Ramteke, R., Kumar, V., Murlidharan, P. and Agarwal, D. K. (2010). Study on genetic variability and traits interrelationship among released soybean varieties of India [Glycine max (L.) Merrill]. Electronic Journal of Plant Breeding 1(6): 1483-1487.
  11. Rasaily, S. K., Desai, N. D. and Kukadia, M. U. (1986). Genetic variability in soyabean (Glycine max L. Merrill). Gujarat Agriculture University Reserch Journal 11: 57–60.
  12. Sharma, S. M., Rao, S. K. and Goswami, U. (1983). Genetic variation, correlation and regression analysis and their implications in selection of exotic soybean. Mysore Journal Agriculture Sciences 17: 26–30.
  13. Smith, S. E., Guarino, L., Doss, A. A. and Conta, D. M. (1995). Morphological and agronomic affinities among Middle Eastern alfalfas accessions from Oman and Yemen. Crop Science 35: 1188-1194. SOPA, (2011)
  14. Wright, S. (1921). Correlation of caustion. Journal of Agricultural Research 20: 202-209.

Global Footprints