Originally published in 1984 and written by renowned authorities in the field, this detailed guide shows how to effectively organize, implement, and manage large scale tree-improvement programs. It describes the genetic and silvicultural principles and practical procedures that apply to beginning, established and advanced-generation tree improvement programs. Dr. Zobel is a renowned forester. He has received many awards and honors for his leadership role in advancing forest tree improvement. He arrived at North Carolina State University to lead the new Cooperative Tree Improvement Program in 1956 and retired from the program in 1979. More than two decades later, he keeps regular office hours on campus. Students from across the globe have traveled to study in the forestry department under Dr. Zobel. Dr. Zobel is a North Carolina State University distinguished Professor of Forestry and has published hundreds of articles pertaining to tree improvement and tropical forestry. After retiring as director of the cooperative, Dr. Zobel founded Zobel Forestry Associates, an international forestry consulting firm.

Forest tree improvement has mainly been implemented to enhance the productivity of artificial forests. However, given the drastically changing global environment, improvement of various traits related to environmental adaptability is more essential than ever. This book focuses on genetic information, including trait heritability and the physiological mechanisms thereof, which facilitate tree improvement. Nineteen papers are included, reporting genetic approaches to improving various species, including conifers, broad-leaf trees, and bamboo. All of the papers in this book provide cutting-edge genetic information on tree genetics and suggest research directions for future tree improvement.

Review of current literature establishes that most authors believe that tree improvement expands production, although some point out drawbacks and alternatives. Both softwood and hardwood improvement programs have been analyzed. The authors used various models, economic assumptions, and standards of measurement, but available data were limited. Future models shouId attempt to be more eclectic.