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Handbook of Quantitative Forest Genetics

  • Book
  • © 1992

Overview

Editors:
  1. Lauren Fins

    1. University of Idaho, Moscow, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Sharon T. Friedman

    1. USDA Forest Service, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Janet V. Brotschol

    1. USDA Forest Service, Olympia, USA

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    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Quantitative Genetics: Why Bother?

    • C. B. Talbert
    Pages 1-28

  3. Fundamental Genetic Principles

    • J. P. van Buijtenen
    Pages 29-68

  4. Mating Designs

    • F. Bridgwater
    Pages 69-95

  5. Field Test Design

    • J. Loo-Dinkins
    Pages 96-139

  6. Concepts of Selection and Gain Prediction

    • G. R. Hodge, T. L. White
    Pages 140-194

  7. Computational Methods

    • R. W. Stonecypher
    Pages 195-228

  8. Estimating Yield: Beyond Breeding Values

    • G. S. Foster
    Pages 229-269

  9. Quantitative Approaches to Decision-Making in Forest Genetics Programs

    • S. T. Friedman
    Pages 270-312

  10. Developing Seed Transfer Zones

    • R. D. Westfall
    Pages 313-398

  11. Back Matter

    Pages 399-406
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Keywords

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.

Reviews

'Overall, I truly enjoyed reading this book, and it now has a place within easy reach of my desk. ' Journal of Forestry november 1992

Editors and Affiliations

  • University of Idaho, Moscow, USA

    Lauren Fins

  • USDA Forest Service, USA

    Sharon T. Friedman

  • USDA Forest Service, Olympia, USA

    Janet V. Brotschol

Bibliographic Information

  • Book Title: Handbook of Quantitative Forest Genetics

  • Editors: Lauren Fins, Sharon T. Friedman, Janet V. Brotschol

  • Series Title: Forestry Sciences

  • DOI: https://doi.org/10.1007/978-94-015-7987-2

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media B.V. 1992

  • Hardcover ISBN: 978-0-7923-1568-1Published: 31 January 1992

  • Softcover ISBN: 978-90-481-4112-8Published: 03 December 2010

  • eBook ISBN: 978-94-015-7987-2Published: 29 June 2013

  • Series ISSN: 0924-5480

  • Series E-ISSN: 1875-1334

  • Edition Number: 1

  • Number of Pages: XVII, 406

  • Topics: Tree Biology, Statistics for Life Sciences, Medicine, Health Sciences

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