Loss of the species distinguishing trait among regenerated Bambusa ventricosa McClure plants

1995 ◽  
Vol 42 (1) ◽  
pp. 109-111 ◽  
Author(s):  
Li-Chun Huang ◽  
Bau-Lian Huang
Keyword(s):  
Bambusa Ventricosa

scholarly journals Evaluation of the genetic variability in bamboo using RAPD markers

2011 ◽  
Vol 49 (No. 1) ◽  
pp. 24-28 ◽  
Author(s):  
S. Nayak ◽  
G.R. Rout ◽  
P. Das
Keyword(s):  
Genetic Diversity ◽  
Rapd Markers ◽  
Growth Habit ◽  
Floral Morphology ◽  
Genetic Relationships ◽  
Species Cluster ◽  
Wide Range ◽  
Bambusa Vulgaris ◽  
Bambusa Ventricosa ◽  
Taxonomic Studies

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.

scholarly journals Proximate composition of the leaves of Bambusa ventricosa, Oxytenanthera abyssinica and two varieties of Bambusa vulgaris

2011 ◽  
Vol 6 (34) ◽  
pp. 6835-6839 ◽  
Author(s):  
Antwi Boasiako C ◽  
Y Coffie G ◽  
A Darkwa N
Keyword(s):  
Proximate Composition ◽  
Bambusa Vulgaris ◽  
Oxytenanthera Abyssinica ◽  
Bambusa Ventricosa

Characterization and Primary Functional Analysis of BvCIGR, a Member of the GRAS Gene Family in Bambusa ventricosa

2011 ◽  
Vol 77 (3) ◽  
pp. 233-241 ◽  
Author(s):  
Mingbing Zhou ◽  
Yan Zhang ◽  
Dingqin Tang
Keyword(s):  
Functional Analysis ◽  
Gene Family ◽  
Bambusa Ventricosa ◽  
Gras Gene

scholarly journals Common Bamboo Species Identification using Machine Learning and Deep Learning Algorithms

2020 ◽  
Vol 9 (4) ◽  
pp. 3012-3017
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
North India ◽  
Bambusa Vulgaris ◽  
Phyllostachys Nigra ◽  
Bambusa Tulda ◽  
Bambusa Ventricosa ◽  
And Training

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.

Establishment of an efficient micropropagation and callus regeneration system from the axillary buds of Bambusa ventricosa

2015 ◽  
Vol 122 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Qiang Wei ◽  
Junjie Cao ◽  
Weijie Qian ◽  
Mengjian Xu ◽  
Zhongru Li ◽  
...  
Keyword(s):  
Axillary Buds ◽  
Regeneration System ◽  
Callus Regeneration ◽  
Bambusa Ventricosa

scholarly journals Etnobotani Bambu di Kecamatan Darul Imarah Kabupaten Aceh Besar

2020 ◽  
Vol 8 (1) ◽  
pp. 24
Author(s):  
Hendra Ervany ◽  
Djufri Djufri ◽  
Abdullah Abdullah
Keyword(s):  
Building Materials ◽  
Ornamental Plants ◽  
Dominant Type ◽  
The People ◽  
Bamboo Shoots ◽  
Home Gardening ◽  
Bambusa Vulgaris ◽  
Dendrocalamus Asper ◽  
Bambusa Ventricosa

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.  

scholarly journals The complete chloroplast genome of Bambusa ventricosa (Bambusoideae: Bambuseae)

2018 ◽  
Vol 3 (2) ◽  
pp. 986-987 ◽  
Author(s):  
Xianzhi Zhang ◽  
Renchao Zhou ◽  
Siyun Chen
Keyword(s):  
Chloroplast Genome ◽  
Complete Chloroplast Genome ◽  
Bambusa Ventricosa
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