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volume 37 issue 1 (february 2014) : 19-25,   Doi: 10.5958/j.0976-0571.37.1.003

IDENTIFICATION OF SELECTION INDICES AND CHOOSING OF PARENTS FOR VEGETABLE COWPEA (VIGNA UNGUICULATA CV-GR. SESQUIPEDALIS) BREEDING PROGRAMME

A
Arup Chattopadhyay*
N
N. Pandia Rana
T
Tania Seth
S
Sibsankar Das
S
Soumitra Chatterjee
S
Subrata Dutta
1AICRP on Vegetable Crops, Directorate of Research, Bidhan Chandra Krishi Viswavidyalaya, Kalyani-741 235, India
Cite article:- Chattopadhyay* Arup, Rana Pandia N., Seth Tania, Das Sibsankar, Chatterjee Soumitra, Dutta Subrata (2025). IDENTIFICATION OF SELECTION INDICES AND CHOOSING OF PARENTS FOR VEGETABLE COWPEA (VIGNA UNGUICULATA CV-GR. SESQUIPEDALIS) BREEDING PROGRAMME. Legume Research. 37(1): 19-25. doi: 10.5958/j.0976-0571.37.1.003.

ABSTRACT

In the present study seventeen genotypes of vegetable cowpea (Vigna unguiculata cv-gr. Sesquipedalis) collected from different places in the country were evaluated for different horticultural traits for genetic variation, character association, cause-effect analysis and genetic diversity was measured among the genotypes through D2 statistics. All the eight characters under study differed significantly among the genotypes. High to moderate GCV and PCV values were found for number of pods per plant, pod yield per plant, pod weight, number of seeds per pod and pod length. Higher estimates of broad sense heritability coupled with higher genetic advance for number of pods per plant, pod yield per plant, pod weight, number of seeds per pod and pod length. Association studies revealed that genotypic correlation coefficients were higher than their phenotypic correlation coefficients in most of the cases. From the correlation and path analysis, it can be concluded that emphasis should be given on number of pods per plant and pod weight for selecting high yielding genotypes. Based on the degree of divergence the genotypes were grouped into seven clusters. The top three characters which contributed most towards the genetic divergence were number of seeds per pod, pod yield per plant and pod weight.   Cluster II had genotypes with high pod productivity, while the genotypes in Cluster III flowered much earlier. Crossing between genotypes within these groups could produce highly productive and early maturing cowpea genotypes.

REFERENCES

  1. Adeigbe, O.O., Adewale, B.D. and Fawole, I.O. (2011). Genetic variability, stability and relationship among some Cowpea, Vigna unguiculata (L.) Walp breeding lines. J. of Plant Breeding and Crop Science, 3:203-208.
  2. Adewale, B.D., Adeigbe, O.O. and Aremu, C.O. (2011). Genetic distance and diversity among some cowpea (Vigna unguiculata L. Walp) genotypes. International Res. Plant Science, 1(2): 9-14
  3. Akinyele, B.O. and Osekita, O.S. (2006). Correlation and path coefficient analyses of seed yield attributes in okra (Abelmoschus esculentus (L.) Monech). Afr. J. Biotechnol., 5:1330-1336.
  4. Baudin, J.P. and Marechal, R. (1985). Genetic diversity in Vigna. In: Cowpea Research, Production and Utilization (Singh, S. R. and Rachie, K. O. eds.), John Wiley and Sons Ltd, New York, pp. 3-9.
  5. Burton, G.W. (1952). Quantitative Inheritance in Grasses. National Publishing Co., Washington D.C., New York.
  6. Chandel, K.P.S., Joshi, B.S. and Pant, K.C. (1978). Genetic resources of Vigna species in India and their contribution in crop improvement. Proc. Intern. Conf. on Cytogenetics and Crop improvement, Varanasi.
  7. Chattopadhyay, A., Dutta. S., Bhattacharya, I., Karmakar, K., and Hazra, P. (2007). Technology for Vegetable Crop Production, All India Coordinated Research Project on Vegetable Crops, Directorate of Research, Bidhan Chandra Krishi Viswavidyalaya, Kalyani-741235, Nadia, West Bengal, India.
  8. Dewey, D.R. and Lu, H.K. (1959). A correlation and path-coefficient analysis of components of crested wheat grass production. Agron. J. 51: 515-518.
  9. Fraser, J. and Eaton, G.W. (1983). Application of yield component analysis to crop research. Field Crop Abst., 36: 787-797.
  10. Correlation, Genetic divergence, Genetic variability, Heritability, Path analysis, Vegetable cowpea.
  11. Hanson, C.H., Robinson, H.F., Comstock, R.E. (1956). Biometrical studies of yield in segregating population of Korean lespedza. Agron. J. 48: 268-272.
  12. Hazra, P., Som, M.G. and Das, P.K. (1992). Selection of parents for vegetable cowpea breeding by multivariate analysis. Veg. Sci. 19: 166-173.
  13. Johnson, H.W., Robinson, R.W. and Comstock, R.E. (1955). Estimate of genetic and environmental variability in soybean. Agron. J., 47: 314-318.
  14. Kalloo, G., Singh, V.P., Dudi, B.S. and Pratap, P.S. (1980). Analysis of variation and genetic diversity in garden pea (Pisum sativum L.). J. Res. Haryana Agric. Univ., 10: 540-546.
  15. Kaushik, N., Kumar, K., Kumar, S., Kaushik, N. and Roy, S. (2007). Genetic variability and divergence studies in seed traits and oil content of Jatropha (Jathropha curcas L.) accessions. Biomass Bioenerg., 31:497-502.
  16. Lal, H., Rai, M., Shiv Karan, Verma, A. and Ram, D. (2007). Multivariate hierarchical clustering of cowpea germplasm [Vigna unguiculata (L.) Walp.]. Acta Hort., 752: 413-416.
  17. Mahalanobis, P. (1936). On the generalized distance in statistics. Proc Nat Inst Sci (India). 12: 49-55.
  18. Nath, Vishwa., Lal, H., Rai, M., Rai, N. and Ram, D. (2009). Hierarchical Clustering and Character Association Studies in Cowpea [Vigna unguiculata (L.) Walp.]. Indian J. Plant Genet. Resour., 22: 22-25.
  19. Pandey, S., Kumar, S., Rai, M., Mishra, U. and Singh, M. (2008). Assessment of genetic diversity in Indian ash gourd (Benincasa hispida) accessions using RAPD markers.1Cucurbitaceae 2008 (genetics and breeding of Cucurbitaceae), Proceedings of the IXth EUCARPIA, INRA, Avignon (France), May 21-24th, 2008.
  20. Panse, V.G. and Sukhatme, P.V. (1984). Statistical Methods for Agriculture Workers. Indian Council of Agricultural Research, New Delhi, India.
  21. Pant, K.C., Chandel, K.P.S. and Joshi, B.S. (1978). Analysis of diversity in Indian cowpea genetic resources. SABRAO J., 14: 102-111.
  22. Peter, K.N. and Rai, B. (1976). Genetic divergence in tomato. Indian J. Genet., 36: 379-383.
  23. Rao, A., Khan, M.A., McNeilly, T. and Khan, A.A. (1997). Cause and effect relations of yield and yield components in rice (Oryza sativa L.). J. Genet. & Breed., 51: 1-5.
  24. Rao, C.R. (1952). Adavance Statistical Methods in Biometrics. John Willey and Sons Inc., New York.
  25. Samaee, S.M., Shobbar, Z.S., Ashrafi, H. and Hosseini-Mazinani, M. (2003). Molecular characterization of olive germplasm in Iran by use of random amplified polymorphic DNA (RAPD): Correlation with phenotypic studies. Acta Hort., 623: 169-175.
  26. Sobha, P.P. (1994). Variability and heterosis in bush type vegetable cowpea (Vigna unguiculata (L.) Walp.). M. Sc. (Ag.) thesis, Kerala Agricultural University, Thrissur Umar, M.L., Sanusi, M.G. and Lawan, F.D. (2010). Relationships between some Quantitative Characters in Selected Cowpea Germplasm Vigna unguiculata (L.) Walp. Notulae Scientia Biologicae, 2:125-128.
  27. Udensi, O., Ikpeme, E.V., Edu, E.A. and Ekpe, D.E. (2012). Relationship studies in cowpea [Vigna unguiculata (L.) Walp] landraces grown under humid lowland condition. Intern Agri Res, 7:33-45.
  28. Ullah, M.Z., Hasan,M.J., Rahman, A.H.M.A. and Saki, A.I. (2011). Genetic variability, character association and path analysis in yard long bean. SAARC J. Agri., 9: 9-16.
  29. Umar, M.L., Sanusi, M.G., Lawan, F.D. (2010). Relationships between some quantitative characters in selected cowpea germplasm Vigna unguiculata (L.) Walp. Notulae Scientia Biologicae, 2: 125-128.
  30. Vardhan, P.N.H. and Savithramma, D.L. (1998). Variability, character association, path analysis and assessment of quality parameters in cowpea (Vigna unguiculata) germplasm for vegetable traits. ACIAR Food Legume Newsl. 28: 7-8.
  31. Vidya, C., Sunny, K., Oommen, and Kumar, Vijayaraghava. (2002). Genetic variability and heritability of yield and related characters In yard-long bean. J. Trop Agri, 40:11-13.
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    volume 37 issue 1 (february 2014) : 19-25,   Doi: 10.5958/j.0976-0571.37.1.003

    IDENTIFICATION OF SELECTION INDICES AND CHOOSING OF PARENTS FOR VEGETABLE COWPEA (VIGNA UNGUICULATA CV-GR. SESQUIPEDALIS) BREEDING PROGRAMME

    A
    Arup Chattopadhyay*
    N
    N. Pandia Rana
    T
    Tania Seth
    S
    Sibsankar Das
    S
    Soumitra Chatterjee
    S
    Subrata Dutta
    1AICRP on Vegetable Crops, Directorate of Research, Bidhan Chandra Krishi Viswavidyalaya, Kalyani-741 235, India
    Cite article:- Chattopadhyay* Arup, Rana Pandia N., Seth Tania, Das Sibsankar, Chatterjee Soumitra, Dutta Subrata (2025). IDENTIFICATION OF SELECTION INDICES AND CHOOSING OF PARENTS FOR VEGETABLE COWPEA (VIGNA UNGUICULATA CV-GR. SESQUIPEDALIS) BREEDING PROGRAMME. Legume Research. 37(1): 19-25. doi: 10.5958/j.0976-0571.37.1.003.

    ABSTRACT

    In the present study seventeen genotypes of vegetable cowpea (Vigna unguiculata cv-gr. Sesquipedalis) collected from different places in the country were evaluated for different horticultural traits for genetic variation, character association, cause-effect analysis and genetic diversity was measured among the genotypes through D2 statistics. All the eight characters under study differed significantly among the genotypes. High to moderate GCV and PCV values were found for number of pods per plant, pod yield per plant, pod weight, number of seeds per pod and pod length. Higher estimates of broad sense heritability coupled with higher genetic advance for number of pods per plant, pod yield per plant, pod weight, number of seeds per pod and pod length. Association studies revealed that genotypic correlation coefficients were higher than their phenotypic correlation coefficients in most of the cases. From the correlation and path analysis, it can be concluded that emphasis should be given on number of pods per plant and pod weight for selecting high yielding genotypes. Based on the degree of divergence the genotypes were grouped into seven clusters. The top three characters which contributed most towards the genetic divergence were number of seeds per pod, pod yield per plant and pod weight.   Cluster II had genotypes with high pod productivity, while the genotypes in Cluster III flowered much earlier. Crossing between genotypes within these groups could produce highly productive and early maturing cowpea genotypes.

    REFERENCES

    1. Adeigbe, O.O., Adewale, B.D. and Fawole, I.O. (2011). Genetic variability, stability and relationship among some Cowpea, Vigna unguiculata (L.) Walp breeding lines. J. of Plant Breeding and Crop Science, 3:203-208.
    2. Adewale, B.D., Adeigbe, O.O. and Aremu, C.O. (2011). Genetic distance and diversity among some cowpea (Vigna unguiculata L. Walp) genotypes. International Res. Plant Science, 1(2): 9-14
    3. Akinyele, B.O. and Osekita, O.S. (2006). Correlation and path coefficient analyses of seed yield attributes in okra (Abelmoschus esculentus (L.) Monech). Afr. J. Biotechnol., 5:1330-1336.
    4. Baudin, J.P. and Marechal, R. (1985). Genetic diversity in Vigna. In: Cowpea Research, Production and Utilization (Singh, S. R. and Rachie, K. O. eds.), John Wiley and Sons Ltd, New York, pp. 3-9.
    5. Burton, G.W. (1952). Quantitative Inheritance in Grasses. National Publishing Co., Washington D.C., New York.
    6. Chandel, K.P.S., Joshi, B.S. and Pant, K.C. (1978). Genetic resources of Vigna species in India and their contribution in crop improvement. Proc. Intern. Conf. on Cytogenetics and Crop improvement, Varanasi.
    7. Chattopadhyay, A., Dutta. S., Bhattacharya, I., Karmakar, K., and Hazra, P. (2007). Technology for Vegetable Crop Production, All India Coordinated Research Project on Vegetable Crops, Directorate of Research, Bidhan Chandra Krishi Viswavidyalaya, Kalyani-741235, Nadia, West Bengal, India.
    8. Dewey, D.R. and Lu, H.K. (1959). A correlation and path-coefficient analysis of components of crested wheat grass production. Agron. J. 51: 515-518.
    9. Fraser, J. and Eaton, G.W. (1983). Application of yield component analysis to crop research. Field Crop Abst., 36: 787-797.
    10. Correlation, Genetic divergence, Genetic variability, Heritability, Path analysis, Vegetable cowpea.
    11. Hanson, C.H., Robinson, H.F., Comstock, R.E. (1956). Biometrical studies of yield in segregating population of Korean lespedza. Agron. J. 48: 268-272.
    12. Hazra, P., Som, M.G. and Das, P.K. (1992). Selection of parents for vegetable cowpea breeding by multivariate analysis. Veg. Sci. 19: 166-173.
    13. Johnson, H.W., Robinson, R.W. and Comstock, R.E. (1955). Estimate of genetic and environmental variability in soybean. Agron. J., 47: 314-318.
    14. Kalloo, G., Singh, V.P., Dudi, B.S. and Pratap, P.S. (1980). Analysis of variation and genetic diversity in garden pea (Pisum sativum L.). J. Res. Haryana Agric. Univ., 10: 540-546.
    15. Kaushik, N., Kumar, K., Kumar, S., Kaushik, N. and Roy, S. (2007). Genetic variability and divergence studies in seed traits and oil content of Jatropha (Jathropha curcas L.) accessions. Biomass Bioenerg., 31:497-502.
    16. Lal, H., Rai, M., Shiv Karan, Verma, A. and Ram, D. (2007). Multivariate hierarchical clustering of cowpea germplasm [Vigna unguiculata (L.) Walp.]. Acta Hort., 752: 413-416.
    17. Mahalanobis, P. (1936). On the generalized distance in statistics. Proc Nat Inst Sci (India). 12: 49-55.
    18. Nath, Vishwa., Lal, H., Rai, M., Rai, N. and Ram, D. (2009). Hierarchical Clustering and Character Association Studies in Cowpea [Vigna unguiculata (L.) Walp.]. Indian J. Plant Genet. Resour., 22: 22-25.
    19. Pandey, S., Kumar, S., Rai, M., Mishra, U. and Singh, M. (2008). Assessment of genetic diversity in Indian ash gourd (Benincasa hispida) accessions using RAPD markers.1Cucurbitaceae 2008 (genetics and breeding of Cucurbitaceae), Proceedings of the IXth EUCARPIA, INRA, Avignon (France), May 21-24th, 2008.
    20. Panse, V.G. and Sukhatme, P.V. (1984). Statistical Methods for Agriculture Workers. Indian Council of Agricultural Research, New Delhi, India.
    21. Pant, K.C., Chandel, K.P.S. and Joshi, B.S. (1978). Analysis of diversity in Indian cowpea genetic resources. SABRAO J., 14: 102-111.
    22. Peter, K.N. and Rai, B. (1976). Genetic divergence in tomato. Indian J. Genet., 36: 379-383.
    23. Rao, A., Khan, M.A., McNeilly, T. and Khan, A.A. (1997). Cause and effect relations of yield and yield components in rice (Oryza sativa L.). J. Genet. & Breed., 51: 1-5.
    24. Rao, C.R. (1952). Adavance Statistical Methods in Biometrics. John Willey and Sons Inc., New York.
    25. Samaee, S.M., Shobbar, Z.S., Ashrafi, H. and Hosseini-Mazinani, M. (2003). Molecular characterization of olive germplasm in Iran by use of random amplified polymorphic DNA (RAPD): Correlation with phenotypic studies. Acta Hort., 623: 169-175.
    26. Sobha, P.P. (1994). Variability and heterosis in bush type vegetable cowpea (Vigna unguiculata (L.) Walp.). M. Sc. (Ag.) thesis, Kerala Agricultural University, Thrissur Umar, M.L., Sanusi, M.G. and Lawan, F.D. (2010). Relationships between some Quantitative Characters in Selected Cowpea Germplasm Vigna unguiculata (L.) Walp. Notulae Scientia Biologicae, 2:125-128.
    27. Udensi, O., Ikpeme, E.V., Edu, E.A. and Ekpe, D.E. (2012). Relationship studies in cowpea [Vigna unguiculata (L.) Walp] landraces grown under humid lowland condition. Intern Agri Res, 7:33-45.
    28. Ullah, M.Z., Hasan,M.J., Rahman, A.H.M.A. and Saki, A.I. (2011). Genetic variability, character association and path analysis in yard long bean. SAARC J. Agri., 9: 9-16.
    29. Umar, M.L., Sanusi, M.G., Lawan, F.D. (2010). Relationships between some quantitative characters in selected cowpea germplasm Vigna unguiculata (L.) Walp. Notulae Scientia Biologicae, 2: 125-128.
    30. Vardhan, P.N.H. and Savithramma, D.L. (1998). Variability, character association, path analysis and assessment of quality parameters in cowpea (Vigna unguiculata) germplasm for vegetable traits. ACIAR Food Legume Newsl. 28: 7-8.
    31. Vidya, C., Sunny, K., Oommen, and Kumar, Vijayaraghava. (2002). Genetic variability and heritability of yield and related characters In yard-long bean. J. Trop Agri, 40:11-13.
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