Introduction to Forest Genetics examines some of the basic genetic concepts typically used in forestry and tree improvement studies, including Mendelian and population genetics. It also describes techniques that are generally useful in tree improvement work, including individual tree selection and breeding, provenance testing, species and racial hybridization, and introduction of exotics. Organized into 19 chapters, this volume begins with an overview of forest genetics and problems associated with forest genetics. It then discusses concepts from basic genetics, including chromosome structure and function; DNA and RNA; nongenetic inheritance; and genotype versus phenotype. Other chapters focus on inbreeding: complete elimination of homozygous recessive trees; mutation and migration; and controlled pollination and vegetative propagation. The book also covers the establishment and measurement of test plantations; general principles and methods of selective breeding; choice of breeding method and type of seed orchard; heritability and genetic gain; geographic variation in Scotch pine and American trees; species and racial hybridization; chromosome studies; and polyploidy and haploidy breeding. This book is a valuable resource for foresters, professional tree breeders, and those with or without previous training in genetics or forestry.

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.

Quantitative genetics: why bother?; Fundamental genetic principles; Mating desings; Field test design; Concepts of selection and gain prediction; Computational methods; Estimative yeld: beyound breeding values; Quantitative approaches to decision-making in forest genetics programs; Developing seed transfer zones.

This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.