Evaluation of Inexpensive Bedding Materials for Culm Cutting of Bambusa balcooa Roxb. and Its Field PerformanceSyandan Sinha Ray1 and Md Nasim Ali1,2*
- *Corresponding Author:
- Md Nasim Ali
Department of Agricultural Biotechnology, Faculty of Agriculture
Bidhan Chandra Krishi Viswavidyalaya, Mahanpur, Nadia, West Bengal, India
E-mail: [email protected]
Received date: April 25, 2016; Accepted date: May 13, 2016; Published date: May 20, 2016
Citation: Ray SS, Ali MN (2016) Evaluation of Inexpensive Bedding Materials for Culm Cutting of Bambusa balcooa Roxb. and Its Field Performance. J Biotechnol Biomater 6:227. doi:10.4172/2155-952X.1000227
Copyright: © 2016 Ray SS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Background: Bambusa balcooa Roxb. is a species with multipurpose utility and economic value. Natural forests are being depleted due to human activities so it is necessary to grow important bamboo species in plantations. Effective propagation methods are required to generate large quantities of material for planting and culm cutting has been found to be very promising modified vegetative method. However, suitable low-cost bedding materials are required to ensure the process is efficient and cost effective.
Methods: Five different bedding materials (coarse sand, 50: 50 mixture of coarse sand and soil, soil, vermicompost, vermiculite) were assessed for macro-propagation of B. balcooa Roxb. using a two-nodal culm cutting method during the summer seasons of 2013 and 2014.
Results: Coarse sand was shown to be the most economic and easily accessible bedding material for macropropagation of bamboo followed by the mixture of coarse sand: soil. The saplings were withstood in the natural conditions.
Conclusions: Coarse sand could be used as bedding material for the successful regeneration of bamboo through macro propagation using Culm with two nodes.