Manuscript Number : IJSRST184864
Studies on Character association for yield and yield attributing components in Sunflower (Halianthus annuas L.) germpalasms in coastal saline belts of West Bengal
Authors(1) :-S. S. Lakshman A study on genetic variability was made with different quantitative and yield attributing characters in sunflower (Halianthus annuus L.). One hundred and twenty five inbred lines of sunflower were selected for studying the character association both direct and indirect to assess the relationship among seed yield and its components. The trial was conducted in the Instructional Farm of Ramkrishna Ashram Krishi Vigyan Kendra, Nimpith on rabi-summer season of 2011-12. The analysis of variance revealed significant differences among the genotypes for all the characters under study. Observations were recorded on twelve different quantitative and yield attributing traits viz., days to 50% flowering, days to maturity, no. of leaves per plant, plant height (cm), head diameter (cm), 100-seed weight (g), no. of seeds per head, seed filling %, hull content (%),volume weight per 100 ml (g), oil content (%) and seed yield per plant (g) and (g).Hence simultaneous selection of these characters would contribute for the improvement of seed yield and oil yield per plant. The maximum positive association in relation to seed yield per plant were found with no. of seed per head, 100seed weight, head diameter and percentage of seed filling. The genetic influence of all the said four characters were more than 80% which signifies the importance of all these four characters in improving the seed yield in case of open pollinated population development as well as hybrid variety development programme.
S. S. Lakshman Sunflower, Yield, Character association, Selection indices. Publication Details
Published in : Volume 4 | Issue 8 | May-June 2018 Article Preview
Junior Breeder, All India Coordinated Research Project on Sunflower, RAKVK, Nimpith , SUNDARBANS, West Bengal, India
Date of Publication : 2018-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 289-295
Manuscript Number : IJSRST184864
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST184864
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