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IDENT
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http://dx.doi.org/10.1007/978-3-642-48125-3
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標題および責任表示
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Population Genetics in Forestry : Proceedings of the Meeting of the IUFRO Working Party “Ecological and Population Genetics" held in Gottingen, August 21?24, 1984 / edited by Hans-Rolf Gregorius
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特定資料種別コード
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リモートファイル
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出版・頒布事項
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Berlin, Heidelberg : Springer Berlin Heidelberg , 1985
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形態事項
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VI, 292 p : online resource
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巻号情報
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書誌構造リンク
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Lecture Notes in Biomathematics <> 60//a
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内容著作注記
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I Tree Breeding
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内容著作注記
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invited guest lecture: The Population Genetic Basis of Breeding Theory
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内容著作注記
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Hybridisation and Cytogenetics of European Birches
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内容著作注記
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II Mating Systems
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内容著作注記
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invited guest lecture: Mating System Estimation in Forest Trees: Models, Methods and Meanings
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内容著作注記
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invited guest lecture: Understanding the Genetic Structure of Plant Populations: Some Old Problems and a New Approach
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内容著作注記
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invited guest lecture: Inbreeding and Selection in Natural Populations
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内容著作注記
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Polymorphic Equilibria Under Inbreeding Effects and Selection on Components of Reproduction
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内容著作注記
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Mating System Dynamics in a Scots Pine Seed Orchard
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内容著作注記
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Reproductive Success of Genotypes of Pinus sylves-tris L. in Different Environments
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内容著作注記
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Multilocus Analysis of External Pollen Contamination of a Scots Pine (Pinus sylvestris L.) Seed Orchard
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内容著作注記
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Gene Dispersion and Selfing Frequency in a Seed-Tree Stand of Pinus sylvestris (L.) 1
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内容著作注記
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invited guest lecture: Genetic Constraints on the Evolution of Plant Reproductive Systems
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内容著作注記
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invited guest lecture: Evolution of Outbreeding Systems
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内容著作注記
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III Genetic Differentiation Within and Between Populations
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内容著作注記
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The Effects of Forest Management on the Genetic Variability of Plant Species in the Herb Layer
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内容著作注記
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Studies on Breeding Structure in Two Tropical Tree Species
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内容著作注記
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A Multilocus Study of Natural Populations of Pinus sylvestris
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内容著作注記
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Genetic Effects of Scots Pine (Pinus sylvestris L.) Domestication
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内容著作注記
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Genetic Differentiation Among Scots Pine Populations From the Lowlands and the Mountains in Poland
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内容著作注記
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Effects of Selection Pressure by SO2 Pollution on Genetic Structures of Norway Spruce (Picea abies)
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内容著作注記
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Measurement of Genetic Differentiation in Plant Populations
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内容著作注記
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List of contributors
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注記
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When we consider the main object of forestry, the tree, it immediately becomes clear why experimental population geneticists have been so hesitant in making this object a primary concern of their research. Trees are very long-living organisms with generation intervals frequently exceeding those of their investigators by multiples. They virtually exclude, therefore, application of the classical methods of population genetics since these are based on observing genetic structures over generations. This situation, where the limits set to observation are so severe, particularly requires close cooperation between theory and experiment. It also requires careful consideration of results obtained for organisms other than trees, in order to gain additional insights by comparing the results for trees with those for other organisms. Yet, the greatest challenge to population and ecological genetics probably originates from the fact that forests are very likely to be the most complex ecosystems of all, even in some cases where they are subject to intense management. This complexity, which equally comprises biotic and abiotic factors varying both in time and space, makes extremely high demands on the adaptational capacity and thus flexibility of the carriers of such an ecosystem. Longevity combined with immobility during the vegetative phase, however, appears to contradict the obvious necessity of adaptational flexibility in forest tree populations when compared with short lived and/or mobile organisms
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学情ID
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9783540159803
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本文言語コード
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英語
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著者標目リンク
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Gregorius, Hans-Rolf <> editor
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著者標目リンク
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SpringerLink (Online service) <>
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分類標目
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DC23:634.9
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件名標目等
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Life sciences
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件名標目等
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Forestry
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件名標目等
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Algebra
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件名標目等
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Applied mathematics
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件名標目等
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Engineering mathematics
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件名標目等
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Biomathematics
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件名標目等
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Life Sciences
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件名標目等
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Forestry
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件名標目等
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Applications of Mathematics
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件名標目等
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Algebra
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件名標目等
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Mathematical and Computational Biology
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