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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 2
First page : (1216) Last page : (1221)
Article doi: : http://dx.doi.org/10.18782/2320-7051.6209
Correlation and Path Co-Efficient Analysis in F2 Segregating Population of “AAC-1×Arka Poornima” Cross in China aster (Callistephus chinensis [L.] Nees.)
Harishkumar K.1*, Mukund Shiragur2, Balaji S. Kulkarni3 B. C. Patil4 and Sandhyarani Nishani5
1,2,3,4Department of Floriculture and Landscape Architecture
5Department of Biotechnology and Crop Improvement
Kittur Rani Channamma College of Horticulture, Arabhavi, Karnataka, India
*Corresponding Author E-mail: harishhassan92@gmail.com
Received: 30.01.2018 | Revised: 26.02.2018 | Accepted: 2.03.2018
ABSTRACT
The correlation and path coefficient analysis were worked out for F2 segregating population of AAC-1×Arka Poornima in China aster for 19 and 9 characters, respectively. The correlation study revealed that number of branches, number of leaves per plant, leaf area, plant spread in (North-South and East-West), number of flowers per plant, individual flower weight (g), weight of 10 flowers (g), flower diameter (cm), ray florets length (cm) and disc diameter (cm) were found to positively correlated with flower yield. Path analysis revealed that number of flowers per plant, individual flower weight (g) and flower diameter (cm) had maximum positive direct effect on yield of flowers. Hence, these traits deserve greater weightage than other traits while formulating selection in F2 segregating population of AAC-1×Arka Poornima in China aster.
Key words: China aster, Correlation and Path co-efficient
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Harishkumar, K., Shiragur, M., Kulkarni, B.S., Patil, B.C. and Nishani, S., Correlation and Path Co-Efficient Analysis in F2 Segregating Population of “AAC-1×Arka Poornima” Cross in China aster (Callistephus chinensis [L.] Nees.), Int. J. Pure App. Biosci.6(2): 1216-1221 (2018). doi: http://dx.doi.org/10.18782/2320-7051.6209