Volume 4, Issue 6, November 2016, Page: 51-55
Path Coefficient Analysis and Correlation Coefficients Effects of Different Characters on Yield of Brassica rapa L.
Shahidul Islam, Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
Md. Maksudul Haque, Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh
Shahidur Rashid Bhuiyan, Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
Sarowar Hossain, Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
Received: Sep. 18, 2016;       Accepted: Sep. 26, 2016;       Published: Oct. 27, 2016
DOI: 10.11648/j.plant.20160406.12      View  2923      Downloads  109
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.
Keywords
Path Coefficient, Correlation Coefficients, Siliqua, Brassica rapa L.
To cite this article
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. Vol. 4, No. 6, 2016, pp. 51-55. doi: 10.11648/j.plant.20160406.12
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Downey, R. K. (1990). Brassica oilseed breeding- achievements and opportunities. Pl. Breed. Abstracts. 60: I 165-1 170.
[2]
Yarnell, S.H. (1956). Cytogenetics of vegetable crops. Crucifers Bot. Rev. 22 (2): 81-166
[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.
[4]
FAO. (2004). Production Year Book, Food and Agricultural Organization of United Nations, Rome 00108, Italy. Vol. 57.pp. 115-133.
[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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