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Wray provides guidance for choosing species suitable for the grower's situation, where and how to get planting stock, and how to care for it. The book presents useful techniques for protecting the growing trees from weeds, animals, fire, insects, and disease, and offers a full description of shearing or shaping trees to improve their form and density.
Abstracts for Dec. 1954- issued in the Agricultural Research Service's series ARS-41.
Growing High Value Trees Growing trees for profit is an ideal part-time or full-time business for anyone who wants to be their own boss and enjoys being outdoors working with plants. Trees are a profitable, renewable resource that can be grown in a backyard or on acreage. You can start a tree growing business with a small amount of money - as little as a few hundred dollars. Here are the 8 proven money-makers covered in this book: Bonsai - Tiny trees that can be grown in a small backyard. Japanese maples - A high-value tree that can be grown in a backyard. Fruit trees - 3 best ways to profit. Landscape trees - A "green" business growing potted trees to sell. Nut trees - Grown for both a yearly harvest and timber in the future. Tree farming - using "agroforestry" to grow multiple crops in the same space. Willow trees - cuttings for crafters can be harvested every year. Christmas trees - Demand is growing for "real" natural trees. What You'll Learn - How to grow and sell your trees. Most popular varieties of each tree. Wholesale sources for seeds and seedlings.
Most texts on experimental design fall into one of two distinct categories. There are theoretical works with few applications and minimal discussion on design, and there are methods books with limited or no discussion of the underlying theory. Furthermore, most of these tend to either treat the analysis of each design separately with little attempt to unify procedures, or they will integrate the analysis for the designs into one general technique. A First Course in the Design of Experiments: A Linear Models Approach stands apart. It presents theory and methods, emphasizes both the design selection for an experiment and the analysis of data, and integrates the analysis for the various designs with the general theory for linear models. The authors begin with a general introduction then lead students through the theoretical results, the various design models, and the analytical concepts that will enable them to analyze virtually any design. Rife with examples and exercises, the text also encourages using computers to analyze data. The authors use the SAS software package throughout the book, but also demonstrate how any regression program can be used for analysis. With its balanced presentation of theory, methods, and applications and its highly readable style, A First Course in the Design of Experiments proves ideal as a text for a beginning graduate or upper-level undergraduate course in the design and analysis of experiments.