Characterizing the Morphological Descriptors of Thirty Seed Sources of Teak (Tectona grandis L.f.) Concerning Sustainable Forestry

Teak (Tectona grandis L.f.) plantations have increased recently in India; however, morphological descriptors for teak are still lacking. Thus, the goal of this work was to develop descriptors based on morphological characteristics. Among 30 seed sources collected from different states of India, 24 m...

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Bibliographic Details
Published in:Sustainability 2022-10, Vol.14 (19), p.12012
Main Authors: M. V., Jawahar Vishnu, K. T., Parthiban, S., Umesh Kanna, S., Radhakrishnan, Kumar, Uttam, Farooq, Taimoor Hassan
Format: Article
Language:English
Subjects:
Apexes
Botany
Color
Environmental aspects
Evaluation
Genetic diversity
Growth
Leaves
Morphology
Physical characteristics
Seeds
Similarity
Sustainable forestry
Teak
Tectona grandis
Timber
Trees
Venation
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Summary:Teak (Tectona grandis L.f.) plantations have increased recently in India; however, morphological descriptors for teak are still lacking. Thus, the goal of this work was to develop descriptors based on morphological characteristics. Among 30 seed sources collected from different states of India, 24 morphological descriptors, including leaf length, leaf width, presence of petiole, petiole length, leaf shape, shape of leaf apex, shape of leaf base, leaf texture, phyllotaxy, leaf attitude, leaf margin, leaf margin undulation, leaf brightness, leaf venation, leaf main vein, leaf veins, leaf vein color, leaf color, leaf pubescence, young leaf color, number of internodes, internodal length, trunk spots, and trunk color, were developed based on leaf and stem characteristics. These seed sources exhibited a difference in all traits except leaf shape, shape of leaf apex, leaf phyllotaxy, leaf margin, leaf venation, leaf main vein, and presence of trunk spots. The Jaccard similarity index was used to calculate the genetic similarity between the sources, and the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) method was used to perform a cluster analysis (four groups at a similarity of 0.5 were obtained). According to the observations made, most of the sources exhibited high similarity, which indicates that only a few characteristics can be used to distinguish the sources.
ISSN:2071-1050
2071-1050
DOI:10.3390/su141912012