Etnobotani Bambu di Kecamatan Darul Imarah Kabupaten Aceh Besar

A study on Bamboo Ethnobotany has been conducted at Darul Imarah, Aceh Besar on June 10, 2010 to June 20, 2010. The aims of this study are to determine the types of bamboo and its utilization at Darul Imarah, Aceh Besar. The method used is observation. The data analyzed in this study were descriptive and displayed in figures and tables form. The parameters observed were the types of bamboo plants and its utilization by the people of Darul Imarah, Aceh Besar. The results showed that there were 6 types of bamboo at Darul Imarah, Aceh Besar, namely Bambusa arundinacea and Dendrocalamus asper, as their use for making household furniture and other building materials. The type of Bambusa vulgaris used from its bamboo shoots as a treatment for hepatitis. Types of Bambusa ventricosa and Dracaena surculosa are used as ornamental plants and home gardening plants. Type of Scizostachyum branchycladum which is used for making lemang. There are four genera namely Bambusa, Dendrocalamus, Scizotachyum, and Dracaena. The dominant type of bamboo that grows in the Darul Imarah, Aceh Besar is the Bambusa arundinacea type.

Common Bamboo Species Identification using Machine Learning and Deep Learning Algorithms

Due to its growth rate and strength, bamboo's versatility is huge. Bamboo has been developed to replace hardwood naturally. But it can be difficult to recognize a bamboo as many appear in a cluster or singular. Each bamboo type has its applications. Because of the utility of bamboo, we have worked in Random Forest, naive bays, logistic regression, the SVM-kernel, CNN, and ResNET, amongst several machine-learning algorithms. A similar test was carried out and delineated using graphs based on uncertainty matrix parameters and training accuracy. In this paper, we have used the data of following five species such as Phyllostachys nigra, Bambusa vulgaris ‘Striata‘, Dendrocalamus giganteu, Bambusa ventricosa, and Bambusa tulda which are generally found in north India. We trained, tested and validated the species from datasets using different machine learning and deep learning algorithms.

Evaluation of the genetic variability in bamboo using RAPD markers

Classical taxonomic studies of the bamboos are based on floral morphology and growth habit, which can cause problems in identification due to erratic flowering. Identification and genetic relationships in 12 species of bamboo were investigated using random amplified polymorphic DNAs (RAPD) technique. Analysis started by using thirty 10-mer primers that allowed us to distinguish 12 species and to select a reduced set of primers. The selected primers were used for identification and for establishing a profiling system to estimate genetic diversity. A total of one hundred thirty seven distinct polymorphic DNA fragments (bands), ranging from 0.4–3.3 kb were amplified by using 10 selected primers. The genetic similar analysis was conducted based on presence or absence of bands, which revealed a wide range of variability among the species. Cluster analysis clearly showed two major clusters belonging to 12 species of bamboo. Two major clusters were further divided into three minor clusters. The species of Bambusa vulgaris and Bambusa vulgaris var. striata were the most closely related and formed the first minor cluster along with Bambusa ventricosa. The variety of Bambusa multiplex var. Silver stripe and Bambusa multiplex were very closely related and there was no variation with Bambusa ventricosa. Another minor cluster was obtained between Bambusa arundinacea, Cephalostachyum pergracil and Bambusa balcooa. The RAPD technique has the potential for use in species identification and genetic relationships between taxa and species of bamboo for breeding program.