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Research Article

volume 43 issue 6 (december 2020) : 770-775,   Doi: 10.18805/LR-4036

Genetic Relationships and Principal Component Analysis in Elite Chickpea (Cicer arietinum L.) Genotypes for Seed Yield and Its Component Traits

D
D.K. Janghel
K
Krishan Kumar
S
S.S. Verma
A
A.K. Chhabra
1Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, Haryana, India.

  • Submitted09-05-2018|

  • Accepted25-04-2020|

  • First Online 28-09-2020|

  • doi 10.18805/LR-4036

Cite article:- Janghel D.K., Kumar Krishan, Verma S.S., Chhabra A.K. (2020). Genetic Relationships and Principal Component Analysis in Elite Chickpea (Cicer arietinum L.) Genotypes for Seed Yield and Its Component Traits. Legume Research. 43(6): 770-775. doi: 10.18805/LR-4036.

ABSTRACT

Background: Chickpea (Cicer arietinum L.) is the important Rabi season food legume crop ranked third after common bean and field pea. The degree and extent of trait variability, genetic relationship and genetic diversity in promising chickpea genotypes should be known for possible yield improvement. Realizing the importance of genetic relationships and genetic diversity in key economic traits, the present investigation envisaged to measure the genetic relationships in the yield component traits to make effective selection for yield improvement in chickpea breeding programme.
Methods: The experimental material comprised of 60 chickpea genotypes (both Desi and Kabuli types), grown in RBD with three replications at Pulses Section of Department of Genetics and Plant Breeding, CCSHAU, Hisar during Rabi 2014-15. The data on 11 quantitative traits was analysed for ANOVA, correlation coefficient, path coefficient, regression and principle component analysis.
Result: The present study has led the understanding of many inter-related traits involved in the genetic variation of chickpea seed yield. This would certainly provide guidelines for selection of parents as well as effective selection of promising chickpea genotypes, and also have paramount importance in formulating plant model for selection of segregating generations in chickpea breeding programmes for development of high yielding varieties.

REFERENCES

  1. Aggarwal, H., Rao, A., Rana, J.S., Singh, J., Kumar, A., Chhokar, V., Beniwal, V. (2015). Assessment of genetic diversity among 125 cultivars of chickpea (Cicer arietinum L.) of Indian origin using ISSR markers. Turkish Journal of Botany. 39: 218-226.
  2. Al-Jibouri, H.A., Millar, P.A., Robinson, H.F. (1958). Genotypic and environmental variances and co-variances in an upland cotton cross of inter-specific origin. Agronomy Journal. 50: 633-636.
  3. Amrita, B., Shrivastava, A., Bisen, R., Mishra, S. (2014). Study of principal component analyses for yield contributing traits in fixed advanced generations of soybean [Glycine max (L.) Merrill]. Soybean Research. 2: 44-50.
  4. Bala, I., Kalia, R., Kumar, B. (2015). Exploitable genetic variability and determination of selection criteria using path coefficient analysis in chickpea. Bangladesh Journal of Botany. 44(1): 139-142.
  5. Dewey, D.I. and Lu, K.H. (1959). A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal. 51: 515-518.
  6. Gomez, K.A. and Gomez, A.A. (1984). Statistical procedures for agricultural research (2nd Eds.) John Wiley and Sons. New York, pp. 680.
  7. Jeffers, J.N.R. (1967). Two case studies in the application of principal component analysis. Applied Statistics. 16(3): 225-236.
  8. Kaiser, H.F. (1958). The varimax criterion for analytical rotation in factor analysis. Psychometrika. 23: 187-200.
  9. Kerem, Z., Lev-Yadun, S., Gopher, A., Weinberg, P., Abbo, S. (2007). Chickpea domestication in the Neolithic Levant through the nutritional perspective. Journal of Archaeological Science. 34(8): 1289-1293.
  10. Kumar, A. and Lavanya, G.R. (2012). Character association and path analysis in early segregating population in chickpea (Cicer arietinum L.). Legume Research. 35(4): 337-340. 
  11. Lush, J.L. (1940). Intra-sire correlation and regression of offspring on dams as a method of estimating heritability of characters. Journal of Animal Science. 1940(1): 293-301.
  12. Mahendran, R., Veerabadhiran, P., Robin, S., Raveendran, M. (2015). Principal component analysis of rice germplasm accessions under high temperature stress. International Journal of Agricultural Science and Research. 5(3): 355-359.
  13. Malik, S.R., Shabbir, G., Zubir, M., Iqbal, S.M., Ali, A. (2014). Genetic Diversity Analysis of morpho-genetic traits in Desi chickpea (Cicer arietinum L.). International Journal of Agriculture and Biology. 16(5): 956-960.
  14. Mushtaq, M.A., Bajwa, M.M., Saleem, M. (2013). Estimation of genetic variability and path analysis of grain yield and its components in chickpea (Cicer arietinum L.). International Journal of Science and Engineering Research. 4(1): 1-4. 
  15. Nagaroje, S., Dhakne, K., Chavhan, R.L., Hinge, V.R., Dethe, A.M. (2016). Genetic diversity study among chickpea genotypes exploiting RAPD and SSR markers. Asian Journal of Multidisciplinary Studies. 2(6): 141-155.
  16. Peerzada, O.H., Chaurasia, A.K., Ahmad, N.I. (2014). Evaluation of chickpea germplasm (Cicer arietinum L.) Desi for yield and yield contributing traits. The Bioscan. 9(4): 1805-1809.
  17. Rekha, R., Prasanthi, L., Sekhar, M.R., Priya, M.S. (2013). Principal component and cluster analyses in pigeonpea [Cajanus cajan (L.) Mill Sp]. International Journal of Applied Biology and Pharmaceutical Technology. 4(4): 424-430.
  18. Shafique, M.S., Ahsan, M., Mehmood, Z., Abdullah, M., Shakoor, A., Ahmad, M.I. (2016). Genetic variability and inter-relationship of various agronomic traits using correlation and path analysis in chickpea (Cicer arietinum L.). Academia Journal of Agricultural Research. 4(2): 82-85.
  19. Singh, P.K., Sharma, H., Srivastava, N., Bhagyawant, S.S. (2014). Analysis of genetic diversity among wild and cultivated chickpea genotypes employing ISSR and RAPD markers. American Journal of Plant Sciences. 5: 676-682.
  20. Upadhyaya, H. D., Dwivedi, S. L., Gowda, C. L. L., Singh, S. (2007a). Identification of diverse germplasm lines for agronomic traits in a chickpea (Cicer arietinum L) core collection for use in crop improvement. Field Crops Research. 100: 320-326.
  21. Yucel, D.O. and Anlarsal, A.E. (2010). Determination of selection criteria with path coefficient analysis in chickpea (Cicer arietinum L.) breeding. Bulgarian Journal of Agricultural Science. 16(1): 42-48.
  22. Zali, H., Farshadfar, E., Sabaghpour, S. H. (2011). Genetic variability and inter-relationships among agronomic traits in chickpea (Cicer arietinum L.) genotypes. Crop Breeding Journal. 1(2): 127-132.
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    Research Article

    volume 43 issue 6 (december 2020) : 770-775,   Doi: 10.18805/LR-4036

    Genetic Relationships and Principal Component Analysis in Elite Chickpea (Cicer arietinum L.) Genotypes for Seed Yield and Its Component Traits

    D
    D.K. Janghel
    K
    Krishan Kumar
    S
    S.S. Verma
    A
    A.K. Chhabra
    1Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, Haryana, India.

    • Submitted09-05-2018|

    • Accepted25-04-2020|

    • First Online 28-09-2020|

    • doi 10.18805/LR-4036

    Cite article:- Janghel D.K., Kumar Krishan, Verma S.S., Chhabra A.K. (2020). Genetic Relationships and Principal Component Analysis in Elite Chickpea (Cicer arietinum L.) Genotypes for Seed Yield and Its Component Traits. Legume Research. 43(6): 770-775. doi: 10.18805/LR-4036.

    ABSTRACT

    Background: Chickpea (Cicer arietinum L.) is the important Rabi season food legume crop ranked third after common bean and field pea. The degree and extent of trait variability, genetic relationship and genetic diversity in promising chickpea genotypes should be known for possible yield improvement. Realizing the importance of genetic relationships and genetic diversity in key economic traits, the present investigation envisaged to measure the genetic relationships in the yield component traits to make effective selection for yield improvement in chickpea breeding programme.
    Methods: The experimental material comprised of 60 chickpea genotypes (both Desi and Kabuli types), grown in RBD with three replications at Pulses Section of Department of Genetics and Plant Breeding, CCSHAU, Hisar during Rabi 2014-15. The data on 11 quantitative traits was analysed for ANOVA, correlation coefficient, path coefficient, regression and principle component analysis.
    Result: The present study has led the understanding of many inter-related traits involved in the genetic variation of chickpea seed yield. This would certainly provide guidelines for selection of parents as well as effective selection of promising chickpea genotypes, and also have paramount importance in formulating plant model for selection of segregating generations in chickpea breeding programmes for development of high yielding varieties.

    REFERENCES

    1. Aggarwal, H., Rao, A., Rana, J.S., Singh, J., Kumar, A., Chhokar, V., Beniwal, V. (2015). Assessment of genetic diversity among 125 cultivars of chickpea (Cicer arietinum L.) of Indian origin using ISSR markers. Turkish Journal of Botany. 39: 218-226.
    2. Al-Jibouri, H.A., Millar, P.A., Robinson, H.F. (1958). Genotypic and environmental variances and co-variances in an upland cotton cross of inter-specific origin. Agronomy Journal. 50: 633-636.
    3. Amrita, B., Shrivastava, A., Bisen, R., Mishra, S. (2014). Study of principal component analyses for yield contributing traits in fixed advanced generations of soybean [Glycine max (L.) Merrill]. Soybean Research. 2: 44-50.
    4. Bala, I., Kalia, R., Kumar, B. (2015). Exploitable genetic variability and determination of selection criteria using path coefficient analysis in chickpea. Bangladesh Journal of Botany. 44(1): 139-142.
    5. Dewey, D.I. and Lu, K.H. (1959). A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal. 51: 515-518.
    6. Gomez, K.A. and Gomez, A.A. (1984). Statistical procedures for agricultural research (2nd Eds.) John Wiley and Sons. New York, pp. 680.
    7. Jeffers, J.N.R. (1967). Two case studies in the application of principal component analysis. Applied Statistics. 16(3): 225-236.
    8. Kaiser, H.F. (1958). The varimax criterion for analytical rotation in factor analysis. Psychometrika. 23: 187-200.
    9. Kerem, Z., Lev-Yadun, S., Gopher, A., Weinberg, P., Abbo, S. (2007). Chickpea domestication in the Neolithic Levant through the nutritional perspective. Journal of Archaeological Science. 34(8): 1289-1293.
    10. Kumar, A. and Lavanya, G.R. (2012). Character association and path analysis in early segregating population in chickpea (Cicer arietinum L.). Legume Research. 35(4): 337-340. 
    11. Lush, J.L. (1940). Intra-sire correlation and regression of offspring on dams as a method of estimating heritability of characters. Journal of Animal Science. 1940(1): 293-301.
    12. Mahendran, R., Veerabadhiran, P., Robin, S., Raveendran, M. (2015). Principal component analysis of rice germplasm accessions under high temperature stress. International Journal of Agricultural Science and Research. 5(3): 355-359.
    13. Malik, S.R., Shabbir, G., Zubir, M., Iqbal, S.M., Ali, A. (2014). Genetic Diversity Analysis of morpho-genetic traits in Desi chickpea (Cicer arietinum L.). International Journal of Agriculture and Biology. 16(5): 956-960.
    14. Mushtaq, M.A., Bajwa, M.M., Saleem, M. (2013). Estimation of genetic variability and path analysis of grain yield and its components in chickpea (Cicer arietinum L.). International Journal of Science and Engineering Research. 4(1): 1-4. 
    15. Nagaroje, S., Dhakne, K., Chavhan, R.L., Hinge, V.R., Dethe, A.M. (2016). Genetic diversity study among chickpea genotypes exploiting RAPD and SSR markers. Asian Journal of Multidisciplinary Studies. 2(6): 141-155.
    16. Peerzada, O.H., Chaurasia, A.K., Ahmad, N.I. (2014). Evaluation of chickpea germplasm (Cicer arietinum L.) Desi for yield and yield contributing traits. The Bioscan. 9(4): 1805-1809.
    17. Rekha, R., Prasanthi, L., Sekhar, M.R., Priya, M.S. (2013). Principal component and cluster analyses in pigeonpea [Cajanus cajan (L.) Mill Sp]. International Journal of Applied Biology and Pharmaceutical Technology. 4(4): 424-430.
    18. Shafique, M.S., Ahsan, M., Mehmood, Z., Abdullah, M., Shakoor, A., Ahmad, M.I. (2016). Genetic variability and inter-relationship of various agronomic traits using correlation and path analysis in chickpea (Cicer arietinum L.). Academia Journal of Agricultural Research. 4(2): 82-85.
    19. Singh, P.K., Sharma, H., Srivastava, N., Bhagyawant, S.S. (2014). Analysis of genetic diversity among wild and cultivated chickpea genotypes employing ISSR and RAPD markers. American Journal of Plant Sciences. 5: 676-682.
    20. Upadhyaya, H. D., Dwivedi, S. L., Gowda, C. L. L., Singh, S. (2007a). Identification of diverse germplasm lines for agronomic traits in a chickpea (Cicer arietinum L) core collection for use in crop improvement. Field Crops Research. 100: 320-326.
    21. Yucel, D.O. and Anlarsal, A.E. (2010). Determination of selection criteria with path coefficient analysis in chickpea (Cicer arietinum L.) breeding. Bulgarian Journal of Agricultural Science. 16(1): 42-48.
    22. Zali, H., Farshadfar, E., Sabaghpour, S. H. (2011). Genetic variability and inter-relationships among agronomic traits in chickpea (Cicer arietinum L.) genotypes. Crop Breeding Journal. 1(2): 127-132.
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