Handbook Of Quantitative Forest Genetics

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.

Models of gene action. Selection theory. Breeding theory. Testing and estimating value in forest tree breeding. Tree breeding programs. Models of population groeth. Regression and regression effects of genotypic differences. Estimating genetic parameters. Population genetics. The view ahead for forest genetics.

This book, which contains 20 chapters, integrates the varied subdisciplines of genetics and their applications in gene conservation, tree improvement and biotechnology. Topics covered include: genetic variation in natural forests, the application of genetics in tree improvement and breeding programmes, and genomic sequences and molecular technologies. This book will be a valuable resource for students, scientists and professionals in the plant sciences, especially forest geneticists, tree breeders, forest managers and other natural resource specialists.

This book provides a solid scientific basis for researchers, practitioners and students interested in the application of genetic principles to tropical forest ecology and management. It presents a concise overview of genetic variation, evolutionary processes and the human impact on forest genetic resources in the tropics. In addition, modern tools to assess genetic diversity patterns and the dynamics of genetic structures are introduced to the non-specialist reader.

Forest management must be sustainable not only in ecological, economic and social, but also genetic terms. Many forest managers are advocating and developing management strategies that give priority to conserving genetic diversity within production systems, or that recognise the importance of genetic considerations in achieving sustainable management. Forest Conservation Genetics draws together much previously uncollected information relevant to managing and conserving forests. The content emphasises the importance of conserving genetic diversity in achieving sustainable management. Each chapter is written by a leading expert and has been peer reviewed. Readers without a background in genetics will find the logical sequence of topics allows easy understanding of the principles involved and how those principles may impact on day-to-day forest planning and management decisions. The book is primarily aimed at undergraduate students of biology, ecology, forestry, and graduate students of forest genetics, resource management policy and/or conservation biology. It will prove useful for those teaching courses in these fields and as such help to increase the awareness of genetic factors in conservation and sustainable management, in both temperate and tropical regions.

This book, which contains 20 chapters, integrates the varied subdisciplines of genetics and their applications in gene conservation, tree improvement and biotechnology. Topics covered include: genetic variation in natural forests, the application of genetics in tree improvement and breeding programmes, and genomic sequences and molecular technologies. This book will be a valuable resource for students, scientists and professionals in the plant sciences, especially forest geneticists, tree breeders, forest managers and other natural resource specialists.