Contains chapters focusing on the decision points faced by quantitative geneticists and breeders in designing programs and analyzing data. This handbook was designed as a tool for forest geneticists, tree breeders and other tree improvement personnel, as well as a textbook for university courses at the graduate level in quantitative genetics. Editor(s): Fins, Lauren; Friedman, Sharon; Brotschol, Janet V. (USDA Forest Service, Olympia, USA). Series: Forestry Sciences. Num Pages: 423 pages, biography. BIC Classification: PSAK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 23. Weight in Grams: 774. . 1992. 1992nd Edition. hardcover. . . . . Books ship from the US and Ireland.

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Bibliografische Details

Titel: Handbook of Quantitative Forest Genetics
Verlag: Kluwer Academic Publishers
Erscheinungsjahr: 1992
Sprache: Englisch
ISBN-10: 0792315685
ISBN-13: 9780792315681
Einband: Hardcover
Zustand: New

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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.

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

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