Agricultural Research Management Information System

Home
Research Summary
Search
About Us
- ARMIS
- Brochure
Contact Us
Report
User Request
Data Input
Help
- Operation Manual
  - PDF
  - Video
- Program Area & Commodity
We have reached 37600 number of research entries at this moment.

- Logout

Research Detail

Home
Research
Detail

Use of Variations in Morphological Characteristics for Identification of Bangladesh Tea Clones

A K M Golam Sarwar
Associate Professor
Department of Crop Botany, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

M J Dutta
Botany Division, Bangladesh Tea Research Institute, Srimangal-3210, Moulvibazar, Bangladesh

Abstract/ Executive Summary:

An investigation was conducted to study several parametric and nonparametric characteristics of leaves and some non-parametric characters of the bushes of eleven tea clones released by Bangladesh Tea Research Institute in order to identify and distinguish them. The leaf parameters were length (L), width (W), leaf shape (LAV), leaf size (LXW), apical length, basal length and ratio of apical to basal length, and non-parametric parameters were patina, colour, texture, venation, apex, margin and pose of leaf. The bush characters were growth pattern, compactness, branching behaviour, density and distribution of plucking points, and flowering behaviour of bushes. There were significant differences among the parametric characters of clones. The clones also possessed some distinctly different non-parametric characteristics like leaf colour, patina, branching behaviour of bushes etc. It was not usually possible to recognize clones on the basis of single character but rather a combination of characters was required. Growth pattern of bushes, leaf patina, colour, shape and size of leaves were more useful in identification of tea clones compared to the other characters. Keys were also constructed for differentiating the clones. It would, therefore, be useful as a practical guide for the identification of the clones in the field.

Keywords: Variations, Morphological, Identification and clones

Location: Botany Division, Bangladesh Tea Research Institute (BTRI), Srimangal, Moulvibazar

Start Date: 00-08-1999

End Date: 00-10-1999

Program Area: Crop-Soil-Water Management

Commodity: Tea

Objectives:

To study several parametric and non-parametric characteristics of leaves and some non-parametric characters of the bushes of eleven tea clones
To identify and distinguish them

Methodology:

The investigation was carried out at the Botany Division, Bangladesh Tea Research Institute (BTRI), Srimangal, Moulvibazar during August - October 1999. Eleven clones, viz. BT1, BT2, BT3, BT4, BT5, BT6, BT7, BT8, BT9, BT10 and BT11 released by BTRI, were investigated. Most of the ambient characters were measured on a numerical scale. Measurements for attributes were made on thirty mature leaves per clone collected from bushes in plucking. The characters measured were length (L), width (W), apical length (AL), basal length (BL), ratio of length to width, length x width and ratio of apical length to basal length of leaf. The product L x W was used as an index of leaf size and the ratio LAV as an indication of shape. The data were analyzed statistically following the ANOVA-technique and means were separated by Duncun's New Multiple Range Test (DMRT) using computer Package MSTAT. Variations in non-parametric characters, viz. patina, texture, colour, pose, venation, apex and margin of leaf, were determined visually. The bush characters were growth pattern, compactness, branching behaviour, density and distribution of plucking points, and flowering behaviour of bushes.

Source of Information: Sri Lanka Journal of Tea Science, 67(1/2), 47-53, 2002

Article Link (Online Journal):

Funding Source:

1. Government

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The vegetative parameters used here are probably very plastic and likely to be greatly affected by changes in environmental factors. Therefore, repeating this study at different locations and during different season may help in better identification of discriminative characters for distinguishing clones. One feature alone may not usually serve to distinguish between clones but several characters which show small but significant and detectable differences between clones, may be used in combination to identify clones.

Knowledge Management: Journal