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In most breeding programs of plant and animal species, genetic data (such as data from field progeny tests) are used to rank parents and help choose candidates for selection. In general, all selection processes first rank the candidates using some function of the observed data and then choose as the selected portion those candidates with the largest (or smallest) values of that function. To make maximum progress from selection, it is necessary to use a function of the data that results in the candidates being ranked as closely as possible to the true (but always unknown) ranking. Very often the observed data on various candidates are messy and unbalanced and this complicates the process of developing precise and accurate rankings. For example, for any given candidate, there may be data on that candidate and its siblings growing in several field tests of different ages. Also, there may be performance data on siblings, ancestors or other relatives from greenhouse, laboratory or other field tests. In addition, data on different candidates may differ drastically in terms of quality and quantity available and may come from varied relatives. Genetic improvement programs which make most effective use of these varied, messy, unbalanced and ancestral data will maximize progress from all stages of selection. In this regard, there are two analytical techniques, best linear prediction (BLP) and best linear unbiased prediction (BLUP), which are quite well-suited to predicting genetic values from a wide variety of sources, ages, qualities and quantities of data.
This book provides a solid scientific basis for researchers, practitioners and students interested in the application of genetic principles to tropical forest ecology and management. It presents a concise overview of genetic variation, evolutionary processes and the human impact on forest genetic resources in the tropics. In addition, modern tools to assess genetic diversity patterns and the dynamics of genetic structures are introduced to the non-specialist reader.
Since the Scots pine species is most important in Eurasia, it was considered necessary to involve authors from as many countries as was possible including Eastern Europe and U.S.S.R. During the 18th IUFRO World Congress in Ljubljana, Yugoslavia, in September 1986, details were worked out for the contents of this book.This book is a truly international effort, prepared in the traditional IUFRO spirit of selfless co-operation. In all, 24 authors from 9 countries are involved. Each chapter was reviewed by two editors from two different countries.
Set includes revised editions of some issues.