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<p><i>Fraxinus mandshurica</i> holds significant potential for sustainable forestry due to its excellent wood properties and strong ecological adaptability. This study aimed to identify superior families and optimize the comprehensive evaluation system for superior families. 14 indices of growth, morphological and wood properties across 54 half-sibling families of 20-year-old <i>Fraxinus mandshurica</i> were measured to identify superior families. Among these, 10 key indices, including three growth traits and seven wood properties, exhibit a wide coefficient of variation (ranging from 0.02 to 0.31) and high heritability (ranging from 0.70 to 0.98), indicating great potential for genetic improvement. Through the comprehensive application of principal component analysis, membership function, and Bregin comprehensive evaluation methods, nine superior families were successfully identified. The evaluation system derived from the membership function comprehensive evaluation method is the most accurate in identifying superior families. Additionally, stable linear relations of comprehensive evaluation value with height (H) and volume (V) exist across superior, medium, and poor families. This implies the presence of stable genetic determinants regulating these relationships, and such stability can be harnessed for genetic enhancement. In contrast, the significant relationships between the comprehensive evaluation value and other indices do not exist in all of the superior, medium, and poor families, and these differences can be used to develop targeted tree-breeding strategies. Overall, the results of this study enhance the efficiency and accuracy of selecting superior genetic materials for <i>Fraxinus mandshurica</i>. Moreover, the study offers valuable insights for genetic-improvement efforts in other tree species, thus contributing to the progress of forestry production.</p>

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Evaluation and selection of superior Fraxinus mandshurica families for genetic improvement using growth traits, morphological characteristics, and wood properties

  • 期刊论文

  • 发表日期：

    2025年5月16日

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  • Meng Fu,
  • Ronghua Liang,
  • Pengfei Wang,
  • Qiang Feng,
  • Chaoqun Li,
  • Ying Xin,
  • Yaguang Zhan,
  • Fansuo Zeng

摘要

Fraxinus mandshurica holds significant potential for sustainable forestry due to its excellent wood properties and strong ecological adaptability. This study aimed to identify superior families and optimize the comprehensive evaluation system for superior families. 14 indices of growth, morphological and wood properties across 54 half-sibling families of 20-year-old Fraxinus mandshurica were measured to identify superior families. Among these, 10 key indices, including three growth traits and seven wood properties, exhibit a wide coefficient of variation (ranging from 0.02 to 0.31) and high heritability (ranging from 0.70 to 0.98), indicating great potential for genetic improvement. Through the comprehensive application of principal component analysis, membership function, and Bregin comprehensive evaluation methods, nine superior families were successfully identified. The evaluation system derived from the membership function comprehensive evaluation method is the most accurate in identifying superior families. Additionally, stable linear relations of comprehensive evaluation value with height (H) and volume (V) exist across superior, medium, and poor families. This implies the presence of stable genetic determinants regulating these relationships, and such stability can be harnessed for genetic enhancement. In contrast, the significant relationships between the comprehensive evaluation value and other indices do not exist in all of the superior, medium, and poor families, and these differences can be used to develop targeted tree-breeding strategies. Overall, the results of this study enhance the efficiency and accuracy of selecting superior genetic materials for Fraxinus mandshurica. Moreover, the study offers valuable insights for genetic-improvement efforts in other tree species, thus contributing to the progress of forestry production.