<p>Date palm (<i>Phoenix dactylifera</i> L.) is one of the oldest cultivated fruit crops of the world, and India is its largest importer. India, despite being one of the largest importers of dates, possesses a rich diversity of indigenous genotypes in Kachchh region of Gujarat. Under this study, genetic variability of 48 selected genotypes was conducted both of indigenous or exotic origin with 42 morphological traits related to leaves, flowers and fruits. The study was conducted over three years (2021–2023) employing correlation analysis, path coefficient analysis, principal component analysis (PCA) and hierarchical clustering to determine trait associations and genetic diversity. Correlation analysis shows leaf length and width significantly influenced reproductive traits, particularly spikelet length, flower stalk morphology and fruit size. Path analysis further confirmed the direct and indirect effects of vegetative and reproductive traits on fruit weight, identifying spathe length, flower stalk width, fruit length and fruit width as major contributing factors. PCA identified key traits responsible for genetic differentiation, with the first seven principal components explaining 57.60% of the total variability. Hierarchical clustering also helped in grouping the genotypes based on their characters. These results contribute to the in better understanding of genetic resources in India and provide a foundation for developing improved date palm cultivars suitable for the country. </p>

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Assessment of Genetic Variability of Date Palm (Phoenix dactylifera L.) Grown Under Arid Ecosystem of Gujarat, India

  • Kapil Mohan Sharma,
  • Piyush Verma,
  • Nishit V. Soni,
  • Kapil K. Tiwari,
  • D. A. Baidiyavadra,
  • Mani N. Chaudhari,
  • Bhargav B. Golakiya,
  • P. C. Joshi

摘要

Date palm (Phoenix dactylifera L.) is one of the oldest cultivated fruit crops of the world, and India is its largest importer. India, despite being one of the largest importers of dates, possesses a rich diversity of indigenous genotypes in Kachchh region of Gujarat. Under this study, genetic variability of 48 selected genotypes was conducted both of indigenous or exotic origin with 42 morphological traits related to leaves, flowers and fruits. The study was conducted over three years (2021–2023) employing correlation analysis, path coefficient analysis, principal component analysis (PCA) and hierarchical clustering to determine trait associations and genetic diversity. Correlation analysis shows leaf length and width significantly influenced reproductive traits, particularly spikelet length, flower stalk morphology and fruit size. Path analysis further confirmed the direct and indirect effects of vegetative and reproductive traits on fruit weight, identifying spathe length, flower stalk width, fruit length and fruit width as major contributing factors. PCA identified key traits responsible for genetic differentiation, with the first seven principal components explaining 57.60% of the total variability. Hierarchical clustering also helped in grouping the genotypes based on their characters. These results contribute to the in better understanding of genetic resources in India and provide a foundation for developing improved date palm cultivars suitable for the country.