Optimization of IBA Concentration for Rapid Initiation of Roots and Ultimate Growth of Kiwi Seedlings and the Association between Root System Architecture and Seedlings Growth
Optimization of IBA Concentration for Rapid Initiation of Roots and Ultimate Growth of Kiwi Seedlings and the Association between Root System Architecture and Seedlings Growth
Noorullah Khan1*, Farrukh Siyar Hamid1, Fayaz Ahmad1, Sabaz Ali Khan2, Imtiaz Ahmed1, Muhammad Abbas Khan1, Shamsul Islam1, Abdul Waheed1, Basharat Hussain Shah1 and Hussain Shah3
ABSTRACT
The rooting ability in kiwifruit (Actinidia deliciosa) cuttings is very low and can be enhanced to a sufficient extent by treating cuttings with rhizogenic hormones. The present experiment was designed with the objectives to find the optimal concentration of IBA for better rooting and survival rate of seedlings from kiwi cuttings. The experiment was laid out according to randomized complete block design with three replications and 20 four budded branch cuttings of “Hayward” kiwifruit cultivar. The cuttings were treated with different concentration of IBA (0, 1000, 2000, 3000, 4000, and 5000 ppm) for ten second and then planted in polythene bags under green net shade. Application of all concentrations of IBA (1000, 2000, 3000, 4000, and 5000 ppm) significantly increased all the growth attributing traits over the control. However, the highest number of first-order adventitious roots (NFARP) plant-1 (9.5), seedling survival rate (SSR) (51.7), and plant height (85.5 cm) were recorded in plants treated with 3000 ppm IBA. Contrarily the longest roots of 50.7 cm were observed with IBA concentration of 5000 ppm. Correlation analysis revealed that SSR % and growth of kiwi seedlings are strongly associated with NFARP as we found strong correlation (P<0.001) among NFARP, SSR% and plant height. In addition, the main root length also showed moderate correlation (P<0.05) with plant height but it was not correlated with SSR%. Based on this finding, it is concluded that IBA concentration of 3000 ppm is optimum for better seedlings growth and evaluation of seedlings root systems architecture and seedling growth attributes could be used to predict the field performance of seedlings.
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