Genetic Diversity and Structure of ITerminalia bellerica/I Population in India as Revealed by Genetic Analysis

• Published in: Plants (Basel) 2024-02, Vol.13 (4)
• Main Authors: Umesh Kanna, Subramani, Parthiban, Kalappan Thangamuthu, Senthilraja, Kandasamy, Venkatesan, Subramanian, Udhaya Nandhini, Dhandayuthapani, Mohan Kumar, Shanmugam, Dhasarathan, Manickam, Kumaresan, Palaniyappan, Sai, Makkena Jaswanth, Raveendran, Muthurajan, Geethalakshmi, Vellingiri
• Format: Article
• Language: English
• Subjects: Analysis; Biological diversity; Deciduous trees; Genetic aspects; Genetic research; Physiological aspects; Structure
• ISSN: 2223-7747; 2223-7747
• DOI: 10.3390/plants13040470

In this study, an extensive exploration survey of wild progeny was conducted which yielded 18 candidate plus trees (CPTs) of Terminalia bellerica. Seeds of these CPTs were collected from diverse locations between 10°54′ and 28°07′ E longitude, and 76°27′ and 95°32′ N latitude, covering 18 different locations across 5 states of the Indian subcontinent. The objective of the progeny trial was to assess genetic associations and variability in growth and physio-chemical characteristics. Significant variations (p < 0.05) were observed among the growth traits, encompassing plant height, basal diameter, girth at breast height and volume, as well as physio-chemical characteristics such as leaf length, width, area and chlorophyll content, carotenoids, and protein in the progeny trial. Broad-sense heritability (h[sup.2] [sub.b] ) estimates were consistently high, exceeding 80% for all growth and physiological related traits under investigation except for plant height, leaf length, and girth at breast height. A correlation study revealed that selecting based on plant height, leaf area, and girth at breast height effectively enhances T. bellerica volume. A moderate genetic advance in percent of the mean (GAM) was observed for most traits, except leaf length, leaf width, girth at breast height, and plant height. Across all 13 traits, phenotypic coefficient of variation (PCV) surpassed genotypic coefficient of variation (GCV). Utilizing principal component analysis (PCA) and dendrogram construction categorized the genotypes into seven distinct groups. In conclusion, the study has demonstrated that targeting girth at breast height and plant height would be a highly effective strategy for the establishment of elite seedling nurseries and clonal seed nurseries for varietal and hybridization programs in the future.