Handbook of Quantitative Forest Genetics

1992
ISBN: 978-0-7923-1568-1
Verlag: Springer Netherlands

Buch, Englisch, Band 39, 406 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1710 g

Reihe: Forestry Sciences

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.

Zielgruppe

Research

Autoren/Hrsg.

Fins, Lauren

Brotschol, J. V.

Friedman, S.T.

Fachgebiete

• Naturwissenschaften Biowissenschaften Botanik Pflanzenreproduktion, Verbreitung, Genetik
• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
• Naturwissenschaften Agrarwissenschaften Ackerbaukunde, Pflanzenbau Forstbotanik, Baumbiologie
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Naturwissenschaften Biowissenschaften Tierkunde / Zoologie Tiergenetik, Reproduktion
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

Quantitative Genetics: Why Bother?.- Fundamental Genetic Principles.- Mating Designs.- Field Test Design.- Concepts of Selection and Gain Prediction.- Computational Methods.- Estimating Yield: Beyond Breeding Values.- Quantitative Approaches to Decision-Making in Forest Genetics Programs.- Developing Seed Transfer Zones.