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From Progeny Testing To Seed Orchard Through Mathematical Programming

Ideal seed orchards have balanced, maximized genetic gain on all favorable traits, produce a maximum number of seed at the earliest age, enjoy the greatest longevity, have minimum costs for establishment and maintenance, and have minimum risk of failure. The conflicting objectives of such an orchard, as well as the many associated restraints and interactions, obviously call for many compromises. Mathematical programming seems to be a logical approach to maximizing gain in this complex problem. A hypothetical case study, using black walnut, is outlined. Additional keywords: Operations research, breeding value, optimization

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Author(s): Fan H. Kung, Calvin F. Bey, Theodore H. Mattheiss

Publication: Tree Improvement and Genetics - Southern Forest Tree Improvement Conference - 1975