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Plus tree selection of Casuarina equisetifolia L. in eastern coastal plain of Odisha

Published online by Cambridge University Press:  10 October 2024

Sourav Ranjan Mohapatra*
Affiliation:
Department of Forest Biology and Tree Improvement, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha 751 003, India
Rashmi Ranjan Pujari
Affiliation:
Department of Forest Resource Management, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha 751 003, India
Ashwath M.N.
Affiliation:
College of Agriculture, Gangavathi, University of Agricultural Science, Raichur, Karnataka 583 227, India
L. R. Lakshmikanta Panda
Affiliation:
Silviculture and Forest Management Division, Forest Research Institute, Dehradun 248 006, India
*
Corresponding author: Sourav Ranjan Mohapatra; Email: [email protected]

Abstract

Casuarina equisetifolia L. commonly called whistling pine is an economically and industrially important tree species with global significance. Although species possess versatile importance worldwide, efforts imparted for selection and designing a robust model of selection index are inadequate. The selection process, based on quantitative and qualitative traits, identified 15 superior trees from the eastern coastal plain of Odisha. These superior trees showcased exceptional qualitative and quantitative attributes. Correlation analysis highlighted key similarities among various traits like volume and above ground biomass (AGB), volume and diameter at breast height (DBH), DBH and AGB, DBH and Tree Height (TH), crown length (CL), height, AGB and height. Principal component analysis emphasized substantial contributions of traits like DBH, height, CL, crown width, AGB and volume across different clusters. Furthermore, culmination resulted in a comprehensive selection index, integrating both qualitative and quantitative characters, reaching 52.04, signifying superior performance among specific accessions. The current study provides valuable insights into selection and designing optimal selection index of C. equisetifolia, guiding future decisions concerning optimal wood production and resource management.

Type
Research Article
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of National Institute of Agricultural Botany

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