Banner
Current IssueEditorial BoardOnline First ArticlesArchive
Current IssueEditorial BoardOnline First ArticlesArchive

Short Communication

volume 37 issue 4 (december 2017) : 324-326,   Doi: 10.18805/ag.D-4626

Path analysis for quality traits in field pea (Pisum sativum L.)

H
Hemant Toppo
R
R.N. Sharma
A
A. Thakur
1Department of Genetics and Plant Breeding Indira Gandhi Krishi Vishwavidyalaya, Raipur-492 012, Chhattisgarh, India
Cite article:- Toppo Hemant, Sharma R.N., Thakur A. (2017). Path analysis for quality traits in field pea (Pisum sativum L.). Agricultural Science Digest. 37(4): 324-326. doi: 10.18805/ag.D-4626.

ABSTRACT

The present experiment was conducted during November 2014–March 2015. The experiment was done to estimate the variability and character association of different qualitative characters on seed yield of 29 field pea genotypes in a randomised complete block design (RCBD). The analysis of variance revealed that the sufficient variability was present in the material studied for almost all the qualitative characters. Among the different quality parameters the moderate genotypic coefficient of variation was for swelling index. Among the quality parameter, high heritability coupled with high genetic advance was not recorded for any quality character indicating non-significant additive genetic variance in genetic control of these traits. The correlation analysis revealed that seed yield plant-1 exhibited a significant positive association with protein at genotypic level. Path coefficient analysis for seed yield and its components showed that protein content had the negligible positive direct effect on seed yield. Direct selection for quality characters would likely not be effective in increasing or decreasing seed yield in field pea. 

REFERENCES

  1. Basaiwala, P. (2006). Genetic analysis of seed yield and seed parameters in field pea (Pisum sativum L.). M.Sc. (Ag.) Thesis I.G.A.U., Raipur. 
  2. Chittapur, R. and Biradar, B. D. (2015). Association studies between quantitative and qualitative traits in rabi sorghum. Indian J. Agr. Res. 49(5): 468-471.
  3. Dama, S. K., Tyagi, N. K. and Singh, P. B. (2010). Interrelationship and path analysis for seed yield and its component characters under eight environments in pea (Pisum sativum L.). Legume Res., 33 (2): 87-94.
  4. Dewey, D. R. and Lu, K.H. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed population. J. Agric. Sci. 515-518.
  5. Ghosh, A. And Panda, S. (2006). Pattern of variability ,character association and path analysis for grain quality in mumgbean [Vigna radiata (L).Wilczek]. Legume Res., 29 (2): 114-117.
  6. Hanson, G. H., Robinson, H. F. and Comstock, R. E. (1956). Biometrical studies of yield in segregation population of Korean Lespedeza. Agron. J.,48: 262- 263.
  7. Johnson, H. W., Robinson, H. F. and Comstock, R. E. (1955). Estimates of genetic and environment variability in soybean. Agron. J., 47: 315-318. 
  8. Miller, D. A., Williams, J. C., Robinson, H. F. and Comstock, K. B. (1958). Estimations of genotype and environmental variance and covariance in upland cotton and their implication in selection. Agron. J. 50: 126-131.
  9. Raturi A., S.K. Singh, Sharma V. and Pathak R. (2014). Genetic variability and interrelationship among qualitative and quantitative traits in mungbean Legume Res., 37(1): 1-10.
  10. Robinson, H. S. (1966). Quantitative genetics in relation to breeding on the central of mendalism. Indian J. Genet. 26: 171-187.
  11. William, P.C., H. Nakkoul and K.B. Singh, (1983). Relationship between cooking time and some physical characters in chickpea (Cicer arietinum L.). J. Sci. Food Agric., 34: 492–496. 
  12. Wright, S. (1921). Correlation and causation. J. Agric. Res., 20: 257-787. 
Published In
Agricultural Science Digest
Article Metrics
Metrics Icon
0
Views
0
Citations
Reviewed By
Share Article
Download Article
In this Article
    Contact us
    Follow us

    Short Communication

    volume 37 issue 4 (december 2017) : 324-326,   Doi: 10.18805/ag.D-4626

    Path analysis for quality traits in field pea (Pisum sativum L.)

    H
    Hemant Toppo
    R
    R.N. Sharma
    A
    A. Thakur
    1Department of Genetics and Plant Breeding Indira Gandhi Krishi Vishwavidyalaya, Raipur-492 012, Chhattisgarh, India
    Cite article:- Toppo Hemant, Sharma R.N., Thakur A. (2017). Path analysis for quality traits in field pea (Pisum sativum L.). Agricultural Science Digest. 37(4): 324-326. doi: 10.18805/ag.D-4626.

    ABSTRACT

    The present experiment was conducted during November 2014–March 2015. The experiment was done to estimate the variability and character association of different qualitative characters on seed yield of 29 field pea genotypes in a randomised complete block design (RCBD). The analysis of variance revealed that the sufficient variability was present in the material studied for almost all the qualitative characters. Among the different quality parameters the moderate genotypic coefficient of variation was for swelling index. Among the quality parameter, high heritability coupled with high genetic advance was not recorded for any quality character indicating non-significant additive genetic variance in genetic control of these traits. The correlation analysis revealed that seed yield plant-1 exhibited a significant positive association with protein at genotypic level. Path coefficient analysis for seed yield and its components showed that protein content had the negligible positive direct effect on seed yield. Direct selection for quality characters would likely not be effective in increasing or decreasing seed yield in field pea. 

    REFERENCES

    1. Basaiwala, P. (2006). Genetic analysis of seed yield and seed parameters in field pea (Pisum sativum L.). M.Sc. (Ag.) Thesis I.G.A.U., Raipur. 
    2. Chittapur, R. and Biradar, B. D. (2015). Association studies between quantitative and qualitative traits in rabi sorghum. Indian J. Agr. Res. 49(5): 468-471.
    3. Dama, S. K., Tyagi, N. K. and Singh, P. B. (2010). Interrelationship and path analysis for seed yield and its component characters under eight environments in pea (Pisum sativum L.). Legume Res., 33 (2): 87-94.
    4. Dewey, D. R. and Lu, K.H. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed population. J. Agric. Sci. 515-518.
    5. Ghosh, A. And Panda, S. (2006). Pattern of variability ,character association and path analysis for grain quality in mumgbean [Vigna radiata (L).Wilczek]. Legume Res., 29 (2): 114-117.
    6. Hanson, G. H., Robinson, H. F. and Comstock, R. E. (1956). Biometrical studies of yield in segregation population of Korean Lespedeza. Agron. J.,48: 262- 263.
    7. Johnson, H. W., Robinson, H. F. and Comstock, R. E. (1955). Estimates of genetic and environment variability in soybean. Agron. J., 47: 315-318. 
    8. Miller, D. A., Williams, J. C., Robinson, H. F. and Comstock, K. B. (1958). Estimations of genotype and environmental variance and covariance in upland cotton and their implication in selection. Agron. J. 50: 126-131.
    9. Raturi A., S.K. Singh, Sharma V. and Pathak R. (2014). Genetic variability and interrelationship among qualitative and quantitative traits in mungbean Legume Res., 37(1): 1-10.
    10. Robinson, H. S. (1966). Quantitative genetics in relation to breeding on the central of mendalism. Indian J. Genet. 26: 171-187.
    11. William, P.C., H. Nakkoul and K.B. Singh, (1983). Relationship between cooking time and some physical characters in chickpea (Cicer arietinum L.). J. Sci. Food Agric., 34: 492–496. 
    12. Wright, S. (1921). Correlation and causation. J. Agric. Res., 20: 257-787. 
    In this Article
      Contact us
      Follow us
      Published In
      Agricultural Science Digest

      Editorial Board

      View all (0)