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Current IssueEditorial BoardOnline First ArticlesArchive

volume 49 issue 1 (february 2015) : 77-82,   Doi: 10.5958/0976-058X.2015.00011.6

Genetic divergence, correlation and path coefficient analysis in okra

R
R.K. Sharma
K
K. Prasad*
1B.P.S. Agricultural College, Purnea–854 302, India
Cite article:- Sharma R.K., Prasad* K. (2025). Genetic divergence, correlation and path coefficient analysis in okra. Indian Journal of Agricultural Research. 49(1): 77-82. doi: 10.5958/0976-058X.2015.00011.6.

ABSTRACT

Twenty okra genotypes were evaluated for genetic divergence, correlation and path coefficient for yield and its contributing attributes. Differences for the studied characters among the selected genotypes were significant and indicated the existence of variability among them. The results indicated that genotype Sel.-7, 71-14 and KS-312 were among the tallest. The phenotypic variance and coefficient of variation were higher than their respective genotypic variance and coefficient of variation for all the traits indicated the environmental effects on their expression. The differences between genetic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were high for fruit diameter (FD) followed by number of branches per plant (NB), days to 50% flowering (DF), fruit weight (FW) and days to first harvest (FH) indicating the vulnerability of traits to environmental influences reflects the possibilities of varietal improvement. The difference between genotypic and phenotypic correlation coefficient indicates the influence of environmental effects. Number of fruits per plant (NP) and fruit weight (FW) contributed major maximum direct positive effect to fruit yield per plot, whereas number of branches per plant (NB) and days to first harvest (FH) showed highest negative direct effect on yield component. Plant height, however, showed highest positive indirect effect via number of fruits per plant and negative indirect effect via fruit weight. Number of branches (NB) showed positive indirect effect via number of fruits per plant (0.7655) and plant height (0.2728) and negative indirect effect via fruit weight (-0.2830). The estimated residual effect found was 0.0118 indicated about 98.82% of variability in fruit yield was contributed by studied yield affecting characters.

REFERENCES

  1. Abhay, D., Nagda A. K. and Dashora A. (2002). Genetic variability and character association in Spanish bunch groundnut. Researches on Crops, 3(2): 416 – 420.
  2. Baloch, M. A. (1994). Factors influencing the growth of okra. Pakistan J. Sci. Res., 82: 363–7.
  3. Burton G. W. and Devane E. M. (1953). Estimating heritability in tall feschue (Festuca arundinacea) from replicated clonal material. Agron. J. 45: 478-81.
  4. Burton, G. W. (1952). Quantitative inheritance in grasses. Proceeding on 6th International Grass Conservation, 277 – 283 pp.
  5. Dewey, D. R. and Lu, K. H. (1959). A correlation and Path coefficient analysis of components of erected wheat grass seed production. Argonomy Journal, 51: 515 – 518.
  6. Gaur, P. C., Gupta P. K. and Kishore, H. (1978). Studies on genetic divergence of potato. Euphytica 27: 361-368.
  7. Indian Horticulture Database. (2009) National Horticulture Board, Ministry of Agriculture, Govt of India, Gurgaon, India.
  8. Lush, J. L. (1943). Animal Breading Plans. Iowa State College Press, Ames, Iowa. 437 p.
  9. Magness, J. R., Marke, G. M and Compton, C. C. (1971). Food and Energy Crops of the United States. Interregional Research project IR-4. New Jersey Agric. Epxt. Station Bulletin 828.
  10. Mass, E. V. and Hoffman, G. J. (1977). Crop salt tolerance – current assessment. J. Irrig. Drain. Div. Am. Soc. Civil Eng., 103:115–134.
  11. Murty, B.R. and Arunachalam, V. (1966). The nature of genetic divergence in relation to breeding system in crop plant. Indian J. Genet. 26A: 188-198.
  12. National Research Council. (2006). Lost Crops of Africa: Volume II: Vegetables. National Academy Press. Washington D.C., United States. 287-301 pp.
  13. Owoeye A. L, Lauric M. C., Allagheny N. N., Onyezili F. N. (1990). Chemical and physical parameters affecting the viscosity of the mixed okra and tomato homogenate. J Sci Food Agri. 53:283–286.
  14. Prasad, K. and Nath, N. (2002). Effect of pre-treatments and clarificants on sugarcane juice characteristics. Asian Journal of Chemistry, 14(2): 723-731.
  15. Prasad, K. and Sharma, R. K. (2012). Characterization of okra seeds of promising genotypes on the basis of physical properties. Indian Journal of Agricultural Research, 46 (3): 199-207.
  16. Prasad, K., Janve, B., Sharma R. K. and Prasad, K. K. (2010). Compositional Characterization of Traditional Medicinal Plants: Chemometric Approach, Archives of Applied Science Research, 2(5): 1-10.
  17. Purewal, S. S., and Rhandhawa, G. E. (1947). Studies in Hibiscus esculentus (Ladyfinger) (okra) I. Chromosome and pollen studies. Indian Journal of Agricultural Science, 17, 129–136.
  18. Sharma, R. K. and Prasad, K. (2010a). Classification of promising okra [Abelmoschusesculentus (L.) Moench] genotypes based on principal component analysis, Journal of Tropical Agriculture and Food Science, 38(2): 161-169.
  19. Sharma, R. K. and Prasad, K. (2010b). Characterisation of promising Okra genotypes on the basis of Principal Component Analysis, Journal of Applied Horticulture. 12(1): 71-74.
  20. Tindall, H. D. 1986. Vegetable in the Tropics 1st edition. Macmillan Publishers Hong Kong.
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    volume 49 issue 1 (february 2015) : 77-82,   Doi: 10.5958/0976-058X.2015.00011.6

    Genetic divergence, correlation and path coefficient analysis in okra

    R
    R.K. Sharma
    K
    K. Prasad*
    1B.P.S. Agricultural College, Purnea–854 302, India
    Cite article:- Sharma R.K., Prasad* K. (2025). Genetic divergence, correlation and path coefficient analysis in okra. Indian Journal of Agricultural Research. 49(1): 77-82. doi: 10.5958/0976-058X.2015.00011.6.

    ABSTRACT

    Twenty okra genotypes were evaluated for genetic divergence, correlation and path coefficient for yield and its contributing attributes. Differences for the studied characters among the selected genotypes were significant and indicated the existence of variability among them. The results indicated that genotype Sel.-7, 71-14 and KS-312 were among the tallest. The phenotypic variance and coefficient of variation were higher than their respective genotypic variance and coefficient of variation for all the traits indicated the environmental effects on their expression. The differences between genetic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were high for fruit diameter (FD) followed by number of branches per plant (NB), days to 50% flowering (DF), fruit weight (FW) and days to first harvest (FH) indicating the vulnerability of traits to environmental influences reflects the possibilities of varietal improvement. The difference between genotypic and phenotypic correlation coefficient indicates the influence of environmental effects. Number of fruits per plant (NP) and fruit weight (FW) contributed major maximum direct positive effect to fruit yield per plot, whereas number of branches per plant (NB) and days to first harvest (FH) showed highest negative direct effect on yield component. Plant height, however, showed highest positive indirect effect via number of fruits per plant and negative indirect effect via fruit weight. Number of branches (NB) showed positive indirect effect via number of fruits per plant (0.7655) and plant height (0.2728) and negative indirect effect via fruit weight (-0.2830). The estimated residual effect found was 0.0118 indicated about 98.82% of variability in fruit yield was contributed by studied yield affecting characters.

    REFERENCES

    1. Abhay, D., Nagda A. K. and Dashora A. (2002). Genetic variability and character association in Spanish bunch groundnut. Researches on Crops, 3(2): 416 – 420.
    2. Baloch, M. A. (1994). Factors influencing the growth of okra. Pakistan J. Sci. Res., 82: 363–7.
    3. Burton G. W. and Devane E. M. (1953). Estimating heritability in tall feschue (Festuca arundinacea) from replicated clonal material. Agron. J. 45: 478-81.
    4. Burton, G. W. (1952). Quantitative inheritance in grasses. Proceeding on 6th International Grass Conservation, 277 – 283 pp.
    5. Dewey, D. R. and Lu, K. H. (1959). A correlation and Path coefficient analysis of components of erected wheat grass seed production. Argonomy Journal, 51: 515 – 518.
    6. Gaur, P. C., Gupta P. K. and Kishore, H. (1978). Studies on genetic divergence of potato. Euphytica 27: 361-368.
    7. Indian Horticulture Database. (2009) National Horticulture Board, Ministry of Agriculture, Govt of India, Gurgaon, India.
    8. Lush, J. L. (1943). Animal Breading Plans. Iowa State College Press, Ames, Iowa. 437 p.
    9. Magness, J. R., Marke, G. M and Compton, C. C. (1971). Food and Energy Crops of the United States. Interregional Research project IR-4. New Jersey Agric. Epxt. Station Bulletin 828.
    10. Mass, E. V. and Hoffman, G. J. (1977). Crop salt tolerance – current assessment. J. Irrig. Drain. Div. Am. Soc. Civil Eng., 103:115–134.
    11. Murty, B.R. and Arunachalam, V. (1966). The nature of genetic divergence in relation to breeding system in crop plant. Indian J. Genet. 26A: 188-198.
    12. National Research Council. (2006). Lost Crops of Africa: Volume II: Vegetables. National Academy Press. Washington D.C., United States. 287-301 pp.
    13. Owoeye A. L, Lauric M. C., Allagheny N. N., Onyezili F. N. (1990). Chemical and physical parameters affecting the viscosity of the mixed okra and tomato homogenate. J Sci Food Agri. 53:283–286.
    14. Prasad, K. and Nath, N. (2002). Effect of pre-treatments and clarificants on sugarcane juice characteristics. Asian Journal of Chemistry, 14(2): 723-731.
    15. Prasad, K. and Sharma, R. K. (2012). Characterization of okra seeds of promising genotypes on the basis of physical properties. Indian Journal of Agricultural Research, 46 (3): 199-207.
    16. Prasad, K., Janve, B., Sharma R. K. and Prasad, K. K. (2010). Compositional Characterization of Traditional Medicinal Plants: Chemometric Approach, Archives of Applied Science Research, 2(5): 1-10.
    17. Purewal, S. S., and Rhandhawa, G. E. (1947). Studies in Hibiscus esculentus (Ladyfinger) (okra) I. Chromosome and pollen studies. Indian Journal of Agricultural Science, 17, 129–136.
    18. Sharma, R. K. and Prasad, K. (2010a). Classification of promising okra [Abelmoschusesculentus (L.) Moench] genotypes based on principal component analysis, Journal of Tropical Agriculture and Food Science, 38(2): 161-169.
    19. Sharma, R. K. and Prasad, K. (2010b). Characterisation of promising Okra genotypes on the basis of Principal Component Analysis, Journal of Applied Horticulture. 12(1): 71-74.
    20. Tindall, H. D. 1986. Vegetable in the Tropics 1st edition. Macmillan Publishers Hong Kong.
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