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Path Coefficient Analysis and Correlation Coefficients Effects of Different Characters on Yield of Brassica rapa L.

Published in Plant (Volume 4, Issue 6)
Received: 18 September 2016     Accepted: 26 September 2016     Published: 27 October 2016
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Abstract

A study was conducted by using twenty one (21) F9 populations derived from inter-varietal crosses of Brassica rapa L. Path co-efficient analysis revealed that plant height, number of primary branches per plant, number of siliqua per plant, seeds per siliqua, and siliqua length had the positive direct effect on yield per plant and days to 50% flowering, number of secondary branches per plant, and thousand seed weight had the negative direct effect on yield per plant. Correlation studyrevealed that yield per plant had significant positive association with plant height, number of primary branches per plant, number of siliqua per plant, seeds per siliqua, and siliqua length (genotypic or phenotypic level). Based on the variability study, some F9 plants showed high heritability for short duration and yield contributing characters were selected from some of the crosses combinations of the intervarital crosses of Brassica rapafor further selection.

Published in Plant (Volume 4, Issue 6)
DOI 10.11648/j.plant.20160406.12
Page(s) 51-55
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Path Coefficient, Correlation Coefficients, Siliqua, Brassica rapa L.

References
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[3] BBS (2004). Statistical Yearbook of Bangladesh. Bangladesh Bureau of Statistics. Statistic Division, Ministry of Planning, Govt. of the People's Republic of Bangladesh. p. 96.
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[5] Johnson, Herbert, W. Robinson, H. F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soyabeans. Agron. J. 47: 3 14-3 I 8.
[6] Singh, R. K. and Chaudhary, B. D. (1985). Biometrical methods in quantitative genetic analysis. Kalyani Publishers, New Delhi, India. p. 56.
[7] Allard. R. W. (1960). Principles of Plant Breeding. John Willey and Sons. Inc. New York. p. 36.
[8] Burton, G.W. (1952). Quaniitative inheritance in grass pea. Proc. 6 thGrassl. Cong. 1:277-283.
[9] Clarke, G. M. (1973). Statistics and Experimental Design. Edward Amold. London.
[10] Dewey, D. R. and Lu, K. H. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed production. Agron. J. 5l:515-518.
[11] Dabholkar, A. R. (1992). Elements of Biometrical Genetics. Concept publishing, New Dhelhi, India.
[12] Chowdhury, B. D., Thakural, S. K., Singh, D. P. and Singh, P. (1987). Genetics of yield and its components in Indian mustard. Narenda Deva J. Agril. Res. 3 (1): 37-43.
[13] Chaudhary, L. B. and Prasad, B. (1987). Genetic variation and heritability of quantitative characters in Indian mustard. Indian J. Agril. Sci. 38 (5): 820-825.
[14] Yadava O. P., Yadav, T. P. and Kumar, P. (1996). Combining ability studies for seed yield. i components characters and oil content in Indian mustard (Brassica juncea L. CzernzuCoss.). J. Oil Seed Res. 9 (1): 4-20.
[15] Das, M. L., Rahman, A., Khan, M. H. R. and Miah, A. J. (1984). Correlation and path coefficient studies in soybean, Bangladesh J. Bot. 7 (1): 1-5.
[16] Das, M. L., Rahman, A., Malek, M. A. and Pathan A. J. (1995). Stability and fatty acid analysis for selecting promising mutants of rapeseed. Bangladesh J. Nuclear Agric.1l: l- 8
[17] Dhillon, S. S., Laban K. S. and Ahuja, K. L. (1990). Association analysis in Indian Mustard. Journal Research. 27 (3): 3 85-3 88.
[18] Tyagi, M. K., Chauhan, J. S., Kumar, P. R. and Singla K. H. (2001). Estimation of heterosisIndian mustard. AnnalsAgric. Bio. Res.6 (20): 193-200.
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  • APA Style

    Shahidul Islam, Md. Maksudul Haque, Shahidur Rashid Bhuiyan, Sarowar Hossain. (2016). Path Coefficient Analysis and Correlation Coefficients Effects of Different Characters on Yield of Brassica rapa L.. Plant, 4(6), 51-55. https://doi.org/10.11648/j.plant.20160406.12

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    ACS Style

    Shahidul Islam; Md. Maksudul Haque; Shahidur Rashid Bhuiyan; Sarowar Hossain. Path Coefficient Analysis and Correlation Coefficients Effects of Different Characters on Yield of Brassica rapa L.. Plant. 2016, 4(6), 51-55. doi: 10.11648/j.plant.20160406.12

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    AMA Style

    Shahidul Islam, Md. Maksudul Haque, Shahidur Rashid Bhuiyan, Sarowar Hossain. Path Coefficient Analysis and Correlation Coefficients Effects of Different Characters on Yield of Brassica rapa L.. Plant. 2016;4(6):51-55. doi: 10.11648/j.plant.20160406.12

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  • @article{10.11648/j.plant.20160406.12,
      author = {Shahidul Islam and Md. Maksudul Haque and Shahidur Rashid Bhuiyan and Sarowar Hossain},
      title = {Path Coefficient Analysis and Correlation Coefficients Effects of Different Characters on Yield of Brassica rapa L.},
      journal = {Plant},
      volume = {4},
      number = {6},
      pages = {51-55},
      doi = {10.11648/j.plant.20160406.12},
      url = {https://doi.org/10.11648/j.plant.20160406.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.plant.20160406.12},
      abstract = {A study was conducted by using twenty one (21) F9 populations derived from inter-varietal crosses of Brassica rapa L. Path co-efficient analysis revealed that plant height, number of primary branches per plant, number of siliqua per plant, seeds per siliqua, and siliqua length had the positive direct effect on yield per plant and days to 50% flowering, number of secondary branches per plant, and thousand seed weight had the negative direct effect on yield per plant. Correlation studyrevealed that yield per plant had significant positive association with plant height, number of primary branches per plant, number of siliqua per plant, seeds per siliqua, and siliqua length (genotypic or phenotypic level). Based on the variability study, some F9 plants showed high heritability for short duration and yield contributing characters were selected from some of the crosses combinations of the intervarital crosses of Brassica rapafor further selection.},
     year = {2016}
    }
    

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    AU  - Shahidul Islam
    AU  - Md. Maksudul Haque
    AU  - Shahidur Rashid Bhuiyan
    AU  - Sarowar Hossain
    Y1  - 2016/10/27
    PY  - 2016
    N1  - https://doi.org/10.11648/j.plant.20160406.12
    DO  - 10.11648/j.plant.20160406.12
    T2  - Plant
    JF  - Plant
    JO  - Plant
    SP  - 51
    EP  - 55
    PB  - Science Publishing Group
    SN  - 2331-0677
    UR  - https://doi.org/10.11648/j.plant.20160406.12
    AB  - A study was conducted by using twenty one (21) F9 populations derived from inter-varietal crosses of Brassica rapa L. Path co-efficient analysis revealed that plant height, number of primary branches per plant, number of siliqua per plant, seeds per siliqua, and siliqua length had the positive direct effect on yield per plant and days to 50% flowering, number of secondary branches per plant, and thousand seed weight had the negative direct effect on yield per plant. Correlation studyrevealed that yield per plant had significant positive association with plant height, number of primary branches per plant, number of siliqua per plant, seeds per siliqua, and siliqua length (genotypic or phenotypic level). Based on the variability study, some F9 plants showed high heritability for short duration and yield contributing characters were selected from some of the crosses combinations of the intervarital crosses of Brassica rapafor further selection.
    VL  - 4
    IS  - 6
    ER  - 

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Author Information
  • Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

  • Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh

  • Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

  • Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

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