Genetic divergence in seedling trees of Persian walnut (Juglans regia L.) for various metric nut and kernel characters in Himachal Pradesh |
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| Institution: | 1. School of Life Sciences, Yunnan University, Kunming, 650091, China;2. Yunnan Research and Monitoring Center of Nature Reserve, Yunnan Institute for Forest Inventory and Planning, Kunming, 650051, China;1. Department of Biotechnology, Faculty of Science, Hamdard University (Jamia Hamdard), New Delhi 110 062, India;2. 247, Bond Life Sciences Centre, 1201 Rollins Street, University of Missouri-Columbia, Columbia, MO 65211, USA;3. Genetix Biotech Asia (P) Ltd., New Delhi 110 015, India;1. Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China;2. College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;3. Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China;4. College of Life Sciences, South China Agricultural University, Guangzhou 510642, China;1. Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, QC, Canada H4H 1R3;2. L’Oréal Research and Innovation, Clichy, France |
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| Abstract: | The nature and magnitude of genetic divergence was assessed using non-hierarchical Euclidean cluster analysis in 229 seedling trees of Persian walnut growing naturally in four districts of Himachal Pradesh for 15 nut and kernel characters. Minimum and maximum values of coefficients of variability were recorded for nut width and kernel weight, respectively. All genotypes were grouped into 16 different clusters. The clustering pattern of walnut genotypes belonging to the same location revealed their distribution in more than one cluster showing non-parallelism between geographic and genetic diversity. Genotypes of clusters 5 and 8 were highly diverse from each other. Mean nut weight and kernel weight were highest in clusters 8 and 14, respectively. The highest mean kernel percentage and minimum shell thickness were observed in cluster 13. The highest mean value for fat was recorded in cluster 9 whereas cluster 3 had the maximum value of protein. |
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