Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Kandalkar, V. S.
- Studies on Correlation and Path Analysis in Germplasm of Indian Mustard [Brassica juncea (L.) Czern and Coss.]
Abstract Views :388 |
PDF Views:0
Authors
Affiliations
1 Department of Plant Breeding and Genetics, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwavidyalaya, Gwalior (M.P.), IN
2 AICRP-Soybean (ICAR), Rajmata Vijayaraje Scindia Krishi Vishwavidyalaya, Zonal Agricultural Research Station, Morena (M.P), IN
1 Department of Plant Breeding and Genetics, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwavidyalaya, Gwalior (M.P.), IN
2 AICRP-Soybean (ICAR), Rajmata Vijayaraje Scindia Krishi Vishwavidyalaya, Zonal Agricultural Research Station, Morena (M.P), IN
Source
International Journal of Plant Sciences, Vol 15, No 2 (2020), Pagination: 101-106Abstract
Studies on correlation revealed that seed yield per plant and harvest index exhibited significant positive correlation and both traits also demonstrated significant positive correlation with days to 50 per cent flowering and number of secondary branches per plant at both genotypic and phenotypic level. This indicated the strong association of seed yield per plant, harvest index, days to 50 per cent flowering and number of secondary branches per plant. Both genotypic and phenotypic correlation co-efficient for seed yield per plant was found significant positive correlation with days to 50 per cent flowering, number of secondary branches per plant, number of siliqua per plant and harvest index. Number of siliqua per plant was found significant positive correlation with number of primary branches per plant, number of secondary branches per plant, number of siliqua per plant and seed yield per plant. Number of secondary branches per plant was found significant positive correlation with days to 50 per cent flowering, number of primary branches per plant, number of siliqua per plant, number of seeds per siliqua, seed yield per plant and harvest index. Further, the path co-efficient analysis showed lowresidual effect (0.00482, 0.00304 and 0.00167) during Rabi 2016-17 and 2017-18 indicating that most of the major yield components were included in the study. Harvest index percentage had the highest direct positive effects on seed yield per plant, number of siliqua per plant, number of seeds per siliqua, number of secondary branches per plant and days to maturity. Based on result it has been concluded that two traits namely seed yield per plant and harvest index exhibited significant positive correlation as well as direct effect on seed yield may be considered for selection and to improve the seed yield of the mustard germplasm.Keywords
Correlation, Path Analysis, Indian Mustard (Brassica juncea L.).
References
- Basalma, D. (2008). The correlation and path analysis of yield and yield components of different winter rapeseed (Brassica napus ssp. oleifera L.) cultivars. Res. J. Agric. Bio. Sci., 4(2): 120-125.
- Dewey, D.H. and Lu, K.H. (1959). A correlation and path analysis of components of crested wheat grass production. Agron. J., 51: 515-518.
- Donald, C.M. and Hamblin, J. (1976). The biological yield and harvest index of cereals as agronomic and plant breeding criteria. Adv. Agronomy, 28:361–405.
- Fisher, R.A. and Yates, F. (1938). Statistical tables for biological, agriculture and medical research. In: 5 Aufl. Oliver and Boyd. Edinburgh.
- Jeromela, M.A., Marinkovic, R. Mijic. and Zdunic, M.Z. (2007). Interrelation between oil yield and other quantitative traits in rapeseed (Brassica napus L.). Sci. J. Agric., 8 (2): 165-170.
- Khulbe, R.K. and Pant, D.P. (1999). Correlation and path coefficient analysis of yield and its components in Indian mustard. Crop Res., Hisar, 17(3): 37 1-375.
- Labana, K.S., Chaurasia, B.D. and Singh, B. (1980). Genetic variability and intra-character associations in the mutants of Indian mustard. Indian J. Agric. Sci., 50 (11) : 803-806.
- Mahla, H.R., Jambhulkar, S.J, Yadav, D.K. and Sharma, R. (2003). Genetic variability, correlation and path analysis in Indian mustard [Brassica juncea (L.) Czern and Coss.]. Indian J.Genet Plant Breed., 6(3) : 171-172.
- Malik, M.A., Khan, A.S., Khan, M.A.S., Khan, B.R. and Mohamand, A.S. (2000). Study of correlation among morphological parameters in different varieties/ accessions of Brassica species. Pakistan J. Biol. Sci., 3(7): 1180-1182.
- Masood, T., Gilani, M.M. and Khan, F.A. (1999). Path analysis of the major yield and quality characters in Brassica campesfris. 3. AnL FL Sci., 9 (4): 69-72.
- Miller, P.A., Williams, C.V. and Robinson, H.F. and Comstock, R.E. (1958). Estimates of genotypic and environmental variance and covariance in upland cotton and their implication in selection. Agron. J., 50 (3): 126-131.
- Nasim, A., Ferhatullah, Iqbal, S., Shah. S. and Azam, S.M. (2013). Genetic variability and correlation studies for morpho-physiological traits in Brassica napus L. Pakistan J. Bot., 45(4): 1229-1234.
- Shalini, T.S., Sheriff, Ram, Kulkarni, R.S. and Venkataramana, P. (2000). Correlation and path analysis of Indian mustard germplasm. Mysore J. Agril. Sci.,1:226-229.
- Sharafi, Y., Majidi, M.M., Jafarzadeh, M. and Mirlohi, A. (2015). Multivariate analysis of genetic variation in winter rapeseed (Brassica napus L.) cultivars. J. Agric. Sci. &Technol., 17(5): 1319-1331.
- Singh, S.K. and Singh, A.K. (2010). Inter-relationship and path analysis for seed yield in Indian mustard. Indian J. Ecol., 3(7) : 8-12.
- Tiwari, V.K. (2019). Morphological parameters in breeding for higher seed yield in Indian mustard [Brassica juncea (L.) Czern. & Coss.] EJPB.,10 (1):187-195.
- Wright, S. (1921). Correlation and causation. J. Agric. Res., 20: 557–585.
- Wright, S. (1934). The method of path co-efficients. Ann. Math. Statist., 5: 161-215.