9780792315681 - Handbook of Quantitative Forest Genetics (Forestry Sciences, Band 39) (5 Ergebnisse)

Zustand: Good. Volume 39. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:0792315685.

Zustand: New. In.

Gebunden. Zustand: New. 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 .

Zustand: New. 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.

Buch. Zustand: Neu. Neuware - 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.