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Correlation Analysis among Growth, Wood Density, and Seed Traits in Gmelina arborea: A Comprehensive Study

Subodh Diliprao Dhonde, P Neetha, Fatima Shirin

26 listopada 2024 · Journal of Agriculture and Ecology Research International

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Abstrakt

This study explores the intricate relationships among morphological traits, wood properties, and seed characteristics in Gmelina arborea across eight natural and planted populations in Madhya Pradesh. The research aims to provide a comprehensive understanding of these interconnections, offering valuable insights for forest management, conservation, and breeding programs. Significant positive correlations were observed among several traits, highlighting their interdependence. For instance, crown height was strongly correlated with total tree height and crown width, indicating that trees with larger crowns tend to grow taller and exhibit higher wood density, a critical determinant of timber quality. Similarly, wood density showed positive correlations with girth at breast height (GBH) and branch thickness, suggesting that trees with thicker stems and branches produce denser, more robust wood. Seed traits also displayed notable correlations, with larger fruits associated with heavier seeds, which in turn showed greater viability and potential for seedling vigor—key factors for regeneration and commercial plantations. In contrast, some inverse relationships were identified, such as between crown height and 100-seed weight, indicating possible trade-offs where taller-crowned trees may yield lighter seeds. This integrated analysis emphasizes the importance of selecting key morphological and wood traits as indicators for superior timber quality and enhanced growth performance. The findings demonstrate the practical relevance of morphometric and seed traits in breeding programs and sustainable forestry practices. By using these traits as selection criteria, the study supports the development of more productive Gmelina arborea plantations, contributing to improved timber quality and sustainable forest management.

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