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New Forests

, Volume 40, Issue 2, pp 213–227 | Cite as

Genetic variation in wood specific gravity among half-sib families of chir pine (Pinus roxburghii sargent)

  • Anup Raj
  • R. N. Sehgal
  • K. R. Sharma
  • Punam K. Sharma
Article

Abstract

Chir pine (Pinus roxburghii) is an important tree species that grows all along the Himalayas. Wood specific gravity of chir pine before and after removal of extractives from wood increment cores was assessed from a 22-years-old progeny test in Himachal Pradesh, India. These values averaged 0.433 and 0.425, respectively. A large amount of genetic variation among the 58 half-sib families was found as indicated by range of values, additive coefficient of variation, variance estimates and narrow-sense heritability values for these traits. Moisture and extractive content averaged 86.259% of oven-dry weight and 2.003% of extractive-free oven-dry weight, respectively. Wood extractive content was highly variable and the family differences were highly heritable (h f 2  = 0.5831). There was wide variability in moisture content, but a large portion of it was due to environmental or non-additive component of genetic variation. Heritability on family mean basis was found to be lower than that on individual tree basis for each trait. Estimated gain in specific gravity resulting from 30 to 50% family selection ranged from 0.0080 to 0.0127. Growth data and specific gravity were not significantly correlated implying that selection for higher growth rate would not necessarily result in reduction in wood specific gravity in chir pine.

Keywords

Pinus roxburghii Genetic variation Wood traits Narrow-sense heritability Genetic gain Coefficient of relatedness 

Notes

Acknowledgments

The first author is thankful to Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K) for the sabbatical granted during the study period. We also thank Professor Lauren Fins, University of Idaho, USA for her help during laboratory work and Dr Randy Johnson, National Programme Leader, Genetic and Silviculture Research, USDA Forest Service for his valuable suggestions while estimating heritabilities. We also thank Dr SP Dhall, Ex Professor-Emeritus of statistics, Dr YSP University of Horticulture and Forestry, Solan, for his valuable statistical inputs during the revision of the manuscript.

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Anup Raj
    • 1
  • R. N. Sehgal
    • 2
  • K. R. Sharma
    • 3
  • Punam K. Sharma
    • 4
  1. 1.Regional Agriculture Research StationSher-e-Kashmir University of Agricultural Sciences and Technology of KashmirLeh, LadakhIndia
  2. 2.Department of Tree Improvement, College of Horticulture and ForestryCentral Agriculture UniversityPasighatIndia
  3. 3.Department of Wood Products, College of ForestryDr YSP University of Horticulture and ForestryNauni, SolanIndia
  4. 4.Regional Centre, National Afforestation and Eco-development Board, UHFNauni, SolanIndia

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