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Research Article

volume 41 issue 1 (february 2018) : 20-26,   Doi: 10.18805/LR-3449

Estimation of correlation coefficient among yield and attributing traits of field pea (Pisum sativum L.)

S
Sandeep Kumar Singh
V
Vinit Pratap Singh
S
Seweta Srivastava
A
Amresh Kumar Singh
B
Brijesh Kumar Chaubey
R
R.K. Srivastava
1Department of Genetics and Plant Breeding, Narendra Dev University of Agriculture & Technology, Kumarganj, Faizabad-224 229, Uttar Pradesh, India.

  • Submitted28-02-2015|

  • Accepted22-08-2017|

  • First Online 23-10-2017|

  • doi 10.18805/LR-3449

Cite article:- Singh Kumar Sandeep, Singh Pratap Vinit, Srivastava Seweta, Singh Kumar Amresh, Chaubey Kumar Brijesh, Srivastava R.K. (2017). Estimation of correlation coefficient among yield and attributingtraits of field pea (Pisum sativum L.). Legume Research. 41(1): 20-26. doi: 10.18805/LR-3449.

ABSTRACT

In order to best exploit the available genetic wealth in the crop, the information would have paramount important. Therefore, this study was conceived to examine the variability and determines the relative importance of primary and secondary traits as selection criteria to improve productivity. Field pea (Pisum sativum L. var. arvense) is amongst the most important legume crop of India. The experimental material comprised of 120 field pea germplasm including 40 indigenous and 10 exotic collections of pea and 4 check varieties viz., HUDP-15, HFP-4, HUP-2, Rachna. Five competitive plants from each plot were randomly selected for recording observations for all the quantitative characters except days to 50 per cent flowering and days to maturity, which were recorded on line basis. In present study a strong and positive association of seed yield per plant observed with harvest index, biological yield per plant, plant height, number of seeds per pod, number of primary branches per plant, number of pods per plant and 100-seed weight. Days to maturity and number of seeds per pod showed positive correlation with days to 50 per cent flowering and number of primary branches per plant respectively. Days to maturity and 100-seed weight and number of pods per plant showed weak association with seed yield per plant in positive direction. Thus, these characters emerged as most vital component traits and associated positively with seed yield per plant.

REFERENCES

  1. Anonymous, (2001). Self-Pollinated Crops-Case Study 1. Department of Soil and Plant Sciences, Colorado State University, Ft., Collins, CO., pp: 23-24.
  2. Chandel, K.P.S. (1983). Correlation and path-coefficient analysis of yield components in green seeded peas. SABRAO J., 15: 55-64.
  3. Chaudhary, D.K. and Sharma, R.R. (2003). Genetic variability, correlation and path analysis for green pod yield and its components in garden pea. Indian J. Hort., 60: 251-256.
  4. Chaudhary, R.K. and Arya, K.P.S. (1971). Regression, correlation and combining ability of some quantitative characters in peas (Pisum sativum L.), Agric. Sci. Comb., 88: 759-763.
  5. Dahiya, B.S., Brar, J.S. and Bajaj, R.K. (1977). Regression, correlation and combining ability of some quantitative characters in peas (Pisum sativum L.) J. Agric. Sci. Camp., 88: 759-763.
  6. Dewey, D.K. and Lu, K.H. (1952). A correlation and path coefficient analysis of components of crested wheat grass and production. Agron. J., 51: 515-518.
  7. Federer, W.T. (1956). Augmented designs. Hawaiian Planters Record, 55: 191-208.
  8. Fikreselassie, M. (2012). Variability, heritability and association of some morpho-agronomic traits in field pea (Pisum sativum L.) genotypes. Pakistan Journal of Biological Sciences, 15: 358-366.
  9. Govardhan, G., Lal, G.M., Vinoth, R. and Ashok Reddy, P. (2013). Character association studies in M2 generation of field pea (Pisum sativum var. arvense L.). International Journal of Applied Biology and Pharmaceutical Technology, 4(4): 161-163.
  10. Gupta, K.R., Dahiya, B.S. and Singh, K.P. (1986). Correlation, path analysis and combining ability studies over environments in pea. Crop Improv., 13: 134-137.
  11. Hawkes, J. G. (1981). Germplasm collection, preservation, and use. In Plant Breeding II. K.J. Frey, ed. Ames, Iowa: The Iowa State University Press, pp: 57-83.
  12. Hussein, M.A. and Aastveit, A.H. (2000). A Sas Program for Computing Genotype Environment Stability Statistics. Agronomy Journal, 92: 454-459.
  13. Johnson, H.W., Robinson, H. F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybean. Agron J., 47: 314 -318.
  14. Kosev, V. (2014). Breeding and Genetic Assessment of some quantitative traits in crosses forage pea (Pisum sativum L.). Open Journal of Genetics, 4: 22-29.
  15. Kumar, B., Ram L., Singh, J.D. and Singh, B. (2003). Correlations and path coefficient analysis in pea (Pisum sativum L.). Prog. Agric., 3: 141-142.
  16. Mahalanobis, P.C. (1936). On the generalized distance in statistics. Proceedings of National Academy of Science India, 2: 49–55.
  17. Mallu, T.S., Mwangi, S.G., Nyende, A.B., Ganga Rao, N.V.P.R, Odeny, D.A., Rathore, A., Kumar, A. (2014). Assessment of genetic variation and heritability of agronomic traits in chickpea (Cicer arietinum L.). International Journal of Agronomy and Agricultural Research, 5: 76-88.
  18. Martínez, O. (1999). Conceptos y Principios de Genética Cuantitativa con Aplicación al Mejoramiento de Especies Vegetales. Faculty of Agronomy, Universidad Nacional de Colombia, Bogota.
  19. Narsinghani, V.G. and Rao, V.S.N. (1978). Genotype and environment interaction in peas. JNKVV Res. J., 12 : 140-141.
  20. Narsinghani, V.G., Singh, S.P. and Moitra, P.K. (1979). Character correlation in F2 progenies of pea. Indian J. Agric. Sci., 49: 404-406.
  21. Pratap, P.S., Bhatia, G.L. and Arora, S.K. (1992). Studies on genetic variability and heritability for yield and component characters in pea (Pisum sativum L.) Crop Res., 5: 505-511.
  22. Puzio-Idzkowska, M. (1996). The variability of some characters of three-podded edible field peas. Biuletyn-Instytutu–    Hodowli–I–Aklimatyzacji- Roslin, 200: 323-331.
  23. Searle, S.R. (1961). Phenotypic, genotypic and environmental correlations. Biometrics, 17: 474-480.
  24. Shah, A. and Lal, S.D. (1989). Genetic variability, heritability and genetic advance in pea. Prog. Hort. 21: 249-253.
  25. Singh, A., Singh, S. and Dayal, J., Prasad Babu. (2011). Heritability, Character Association and Path Analysis Studies in Early Segregating Population of Field Pea (Pisum sativum L. var. arvense). International Journal of Plant Breeding and Genetics, 5: 86-92.
  26. Singh, A.K. (1995). Genetic variability and heritability studies in pea (Pisum sativum L.). Crop Res., 8: 171-173.
  27. Singh, A.P., Singh, G.P. and Singh, A.K. (1993). Variability studies in tall and dwarf pea (Pisum sativum L.). Crop Res., 6: 239-242.
  28. Singh, R.K. and Chaudhury, B.D. (1985). Biometrical methods of quantitative genetic analysis. Kalyani Publishers, New Delhi, India.
  29. Singh, R.M. and Srivastava, C.P. (1985). Evaluation, classification and usefulness of pea germplasm of quantitative characters. Legume Res., 8: 68-72.
  30. Singh, S.P. (1999). Correlation and genetic divergence over environments in pea (Pisum sativum L.). Legume Res., 22: 104-108.
  31. Singh, Y.V., Singh, D.K. and Ram, H.H. (1996). Genetic variability and correlation studies for yield and growth characters in pea (Pisum sativum L.). Recent-Hort., 3: 67-69.
  32. Srivastava, J.P., Singh, H.N. and Singh, S.P. (1975). Correlation and path-coefficient analysis in table pea (Pisum sativum L.). Prog. Hort., 7: 5-9.
  33. Tiwari, G. and Lavanya, G.R. (2012). Genetic variability, character association and component analysis in F4 generation of field pea (Pisum sativum var. arvense L.). Karnataka Journal of Agricultural Sciences, 25: 173-175.
  34. Tyagi, M.K. and Srivastava, C.P. (2002). Genetic variability and correlation among yield and yield characters over two environments in pea. Indian J. of Agric. Res., 36: 53-56.
  35. Vavilov, N.I. (1926). Centers of origin of cultivated plants. Trends Pract. Bot. Gener. Sel., 16: 3-24. 
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    Research Article

    volume 41 issue 1 (february 2018) : 20-26,   Doi: 10.18805/LR-3449

    Estimation of correlation coefficient among yield and attributing traits of field pea (Pisum sativum L.)

    S
    Sandeep Kumar Singh
    V
    Vinit Pratap Singh
    S
    Seweta Srivastava
    A
    Amresh Kumar Singh
    B
    Brijesh Kumar Chaubey
    R
    R.K. Srivastava
    1Department of Genetics and Plant Breeding, Narendra Dev University of Agriculture & Technology, Kumarganj, Faizabad-224 229, Uttar Pradesh, India.

    • Submitted28-02-2015|

    • Accepted22-08-2017|

    • First Online 23-10-2017|

    • doi 10.18805/LR-3449

    Cite article:- Singh Kumar Sandeep, Singh Pratap Vinit, Srivastava Seweta, Singh Kumar Amresh, Chaubey Kumar Brijesh, Srivastava R.K. (2017). Estimation of correlation coefficient among yield and attributingtraits of field pea (Pisum sativum L.). Legume Research. 41(1): 20-26. doi: 10.18805/LR-3449.

    ABSTRACT

    In order to best exploit the available genetic wealth in the crop, the information would have paramount important. Therefore, this study was conceived to examine the variability and determines the relative importance of primary and secondary traits as selection criteria to improve productivity. Field pea (Pisum sativum L. var. arvense) is amongst the most important legume crop of India. The experimental material comprised of 120 field pea germplasm including 40 indigenous and 10 exotic collections of pea and 4 check varieties viz., HUDP-15, HFP-4, HUP-2, Rachna. Five competitive plants from each plot were randomly selected for recording observations for all the quantitative characters except days to 50 per cent flowering and days to maturity, which were recorded on line basis. In present study a strong and positive association of seed yield per plant observed with harvest index, biological yield per plant, plant height, number of seeds per pod, number of primary branches per plant, number of pods per plant and 100-seed weight. Days to maturity and number of seeds per pod showed positive correlation with days to 50 per cent flowering and number of primary branches per plant respectively. Days to maturity and 100-seed weight and number of pods per plant showed weak association with seed yield per plant in positive direction. Thus, these characters emerged as most vital component traits and associated positively with seed yield per plant.

    REFERENCES

    1. Anonymous, (2001). Self-Pollinated Crops-Case Study 1. Department of Soil and Plant Sciences, Colorado State University, Ft., Collins, CO., pp: 23-24.
    2. Chandel, K.P.S. (1983). Correlation and path-coefficient analysis of yield components in green seeded peas. SABRAO J., 15: 55-64.
    3. Chaudhary, D.K. and Sharma, R.R. (2003). Genetic variability, correlation and path analysis for green pod yield and its components in garden pea. Indian J. Hort., 60: 251-256.
    4. Chaudhary, R.K. and Arya, K.P.S. (1971). Regression, correlation and combining ability of some quantitative characters in peas (Pisum sativum L.), Agric. Sci. Comb., 88: 759-763.
    5. Dahiya, B.S., Brar, J.S. and Bajaj, R.K. (1977). Regression, correlation and combining ability of some quantitative characters in peas (Pisum sativum L.) J. Agric. Sci. Camp., 88: 759-763.
    6. Dewey, D.K. and Lu, K.H. (1952). A correlation and path coefficient analysis of components of crested wheat grass and production. Agron. J., 51: 515-518.
    7. Federer, W.T. (1956). Augmented designs. Hawaiian Planters Record, 55: 191-208.
    8. Fikreselassie, M. (2012). Variability, heritability and association of some morpho-agronomic traits in field pea (Pisum sativum L.) genotypes. Pakistan Journal of Biological Sciences, 15: 358-366.
    9. Govardhan, G., Lal, G.M., Vinoth, R. and Ashok Reddy, P. (2013). Character association studies in M2 generation of field pea (Pisum sativum var. arvense L.). International Journal of Applied Biology and Pharmaceutical Technology, 4(4): 161-163.
    10. Gupta, K.R., Dahiya, B.S. and Singh, K.P. (1986). Correlation, path analysis and combining ability studies over environments in pea. Crop Improv., 13: 134-137.
    11. Hawkes, J. G. (1981). Germplasm collection, preservation, and use. In Plant Breeding II. K.J. Frey, ed. Ames, Iowa: The Iowa State University Press, pp: 57-83.
    12. Hussein, M.A. and Aastveit, A.H. (2000). A Sas Program for Computing Genotype Environment Stability Statistics. Agronomy Journal, 92: 454-459.
    13. Johnson, H.W., Robinson, H. F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybean. Agron J., 47: 314 -318.
    14. Kosev, V. (2014). Breeding and Genetic Assessment of some quantitative traits in crosses forage pea (Pisum sativum L.). Open Journal of Genetics, 4: 22-29.
    15. Kumar, B., Ram L., Singh, J.D. and Singh, B. (2003). Correlations and path coefficient analysis in pea (Pisum sativum L.). Prog. Agric., 3: 141-142.
    16. Mahalanobis, P.C. (1936). On the generalized distance in statistics. Proceedings of National Academy of Science India, 2: 49–55.
    17. Mallu, T.S., Mwangi, S.G., Nyende, A.B., Ganga Rao, N.V.P.R, Odeny, D.A., Rathore, A., Kumar, A. (2014). Assessment of genetic variation and heritability of agronomic traits in chickpea (Cicer arietinum L.). International Journal of Agronomy and Agricultural Research, 5: 76-88.
    18. Martínez, O. (1999). Conceptos y Principios de Genética Cuantitativa con Aplicación al Mejoramiento de Especies Vegetales. Faculty of Agronomy, Universidad Nacional de Colombia, Bogota.
    19. Narsinghani, V.G. and Rao, V.S.N. (1978). Genotype and environment interaction in peas. JNKVV Res. J., 12 : 140-141.
    20. Narsinghani, V.G., Singh, S.P. and Moitra, P.K. (1979). Character correlation in F2 progenies of pea. Indian J. Agric. Sci., 49: 404-406.
    21. Pratap, P.S., Bhatia, G.L. and Arora, S.K. (1992). Studies on genetic variability and heritability for yield and component characters in pea (Pisum sativum L.) Crop Res., 5: 505-511.
    22. Puzio-Idzkowska, M. (1996). The variability of some characters of three-podded edible field peas. Biuletyn-Instytutu–    Hodowli–I–Aklimatyzacji- Roslin, 200: 323-331.
    23. Searle, S.R. (1961). Phenotypic, genotypic and environmental correlations. Biometrics, 17: 474-480.
    24. Shah, A. and Lal, S.D. (1989). Genetic variability, heritability and genetic advance in pea. Prog. Hort. 21: 249-253.
    25. Singh, A., Singh, S. and Dayal, J., Prasad Babu. (2011). Heritability, Character Association and Path Analysis Studies in Early Segregating Population of Field Pea (Pisum sativum L. var. arvense). International Journal of Plant Breeding and Genetics, 5: 86-92.
    26. Singh, A.K. (1995). Genetic variability and heritability studies in pea (Pisum sativum L.). Crop Res., 8: 171-173.
    27. Singh, A.P., Singh, G.P. and Singh, A.K. (1993). Variability studies in tall and dwarf pea (Pisum sativum L.). Crop Res., 6: 239-242.
    28. Singh, R.K. and Chaudhury, B.D. (1985). Biometrical methods of quantitative genetic analysis. Kalyani Publishers, New Delhi, India.
    29. Singh, R.M. and Srivastava, C.P. (1985). Evaluation, classification and usefulness of pea germplasm of quantitative characters. Legume Res., 8: 68-72.
    30. Singh, S.P. (1999). Correlation and genetic divergence over environments in pea (Pisum sativum L.). Legume Res., 22: 104-108.
    31. Singh, Y.V., Singh, D.K. and Ram, H.H. (1996). Genetic variability and correlation studies for yield and growth characters in pea (Pisum sativum L.). Recent-Hort., 3: 67-69.
    32. Srivastava, J.P., Singh, H.N. and Singh, S.P. (1975). Correlation and path-coefficient analysis in table pea (Pisum sativum L.). Prog. Hort., 7: 5-9.
    33. Tiwari, G. and Lavanya, G.R. (2012). Genetic variability, character association and component analysis in F4 generation of field pea (Pisum sativum var. arvense L.). Karnataka Journal of Agricultural Sciences, 25: 173-175.
    34. Tyagi, M.K. and Srivastava, C.P. (2002). Genetic variability and correlation among yield and yield characters over two environments in pea. Indian J. of Agric. Res., 36: 53-56.
    35. Vavilov, N.I. (1926). Centers of origin of cultivated plants. Trends Pract. Bot. Gener. Sel., 16: 3-24. 
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