Handbook of Quantitative Forest Genetics

  • Lauren Fins
  • Sharon T. Friedman
  • Janet V. Brotschol

Part of the Forestry Sciences book series (FOSC, volume 39)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. C. B. Talbert
    Pages 1-28
  3. J. P. van Buijtenen
    Pages 29-68
  4. F. Bridgwater
    Pages 69-95
  5. J. Loo-Dinkins
    Pages 96-139
  6. G. R. Hodge, T. L. White
    Pages 140-194
  7. R. W. Stonecypher
    Pages 195-228
  8. G. S. Foster
    Pages 229-269
  9. R. D. Westfall
    Pages 313-398
  10. Back Matter
    Pages 399-406

About this book


This handbook was designed as a reference tool for forest geneticists, tree breeders and other tree improvement personnel, as well as a textbook for university courses and short-courses at the graduate level in quantitative genetics.
The chapters focus on the decision points faced by quantitative geneticists and breeders in designing programs and analyzing data. Beginning with a justification for the use of quantitative genetics in decision making in tree improvement programs, the book continues with a brief presentation of fundamental principles, followed by discussions and evaluations of mating designs and field test designs, the use of best linear predictors to estimate breeding values, the use of computer programs in the analysis of variance for genetic information, the deployment of genetically improved stock for capturing gains, the use of economic models for program justification, and the development of seed transfer guidelines.


analysis of variance development evaluation genetic information genetics seed

Editors and affiliations

  • Lauren Fins
    • 1
  • Sharon T. Friedman
    • 2
  • Janet V. Brotschol
    • 3
  1. 1.University of IdahoMoscowUSA
  2. 2.USDA Forest ServiceUSA
  3. 3.USDA Forest ServiceOlympiaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1992
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4112-8
  • Online ISBN 978-94-015-7987-2
  • Series Print ISSN 0924-5480
  • Series Online ISSN 1875-1334
  • Buy this book on publisher's site