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Author: T.L. White
Publisher: Springer Science & Business Media
ISBN: 9401578338
Category : Nature
Languages : en
Pages : 372
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Book Description
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.
Author: T.L. White
Publisher: Springer Science & Business Media
ISBN: 9401578338
Category : Nature
Languages : en
Pages : 372
Get Book Here
Book Description
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.
Author: Yuji Ide
Publisher: MDPI
ISBN: 303651242X
Category : Science
Languages : en
Pages : 328
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Book Description
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.
Author: John N. Owens
Publisher: EOLSS Publications
ISBN: 1905839405
Category :
Languages : en
Pages : 364
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Book Description
Forests and Forest Plants is a component of Encyclopedia of Food and Agricultural Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Forests are an essential part of Earth's life support systems. Forest resources are essential for humankind. They provide both vital goods and services. They provide food, fuel, shelter, soil and water protection, and filter the air we breathe. This publication on Forest and Forest Plants provides the user with such information as to create an awareness of the value of our forestlands and the products and environmental services they provide. The three volumes on Forests and Forest Plants are organized starting with first the necessity of : the World's Forest Resources – including classification and distribution of forest, urban forestry and agroforestry; Important Tree Species including trees in reclamation and arid zone forestry; Forests and Forest Products including wood and non word products; the Role of Forests in the Biosphere – preserving biological diversity, functions in the hydrological cycle, etc.; and Conservation and Breeding of Forest Trees – what is being done to improve our forest resources - silviculture, tree nurseries, and forest protection. The theme Forest and Forest Plants has led to the conclusion that there are substantial difficulties in matching environmental concerns and sustainability with an ever-increasing world population. Thus there is a tension between maximizing for food, wood and production on the one hand and implementing sustainable development and environmental protection on the other. These three volumes are aimed at the following five major target audiences: University and College Students Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers, NGOs and GOs.
Author: Timothy L. White
Publisher: CABI
ISBN: 1845932854
Category : Science
Languages : en
Pages : 702
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Book Description
This book, which contains 20 chapters, integrates the varied subdisciplines of genetics and their applications in gene conservation, tree improvement and biotechnology. Topics covered include: genetic variation in natural forests, the application of genetics in tree improvement and breeding programmes, and genomic sequences and molecular technologies. This book will be a valuable resource for students, scientists and professionals in the plant sciences, especially forest geneticists, tree breeders, forest managers and other natural resource specialists.
Author:
Publisher:
ISBN:
Category : Forest genetics
Languages : en
Pages : 518
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Book Description
Author:
Publisher: Bib. Orton IICA / CATIE
ISBN:
Category :
Languages : en
Pages : 324
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Book Description
Author: W.T. Adams
Publisher: Springer Science & Business Media
ISBN: 9401128154
Category : Science
Languages : en
Pages : 423
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Book Description
Tropical climates, which occur between 23°30'N and S latitude (Jacob 1988), encompass a wide variety of plant communities (Hartshorn 1983, 1988), many of which are diverse in their woody floras. Within this geographic region, temperature and the amount and seasonality of rainfall define habitat types (UNESCO 1978). The F AO has estimated that there 1 are about 19 million km of potentially forested area in the global tropics, of which 58% were estimated to still be in closed forest in the mid-1970s (Sommers 1976; UNESCO 1978). Of this potentially forested region, 42% is categorized as dry forest lifezone, 33% is tropical moist forest, and 25% is wet or rain forest (Lugo 1988). The species diversity of these tropical habitats is very high. Raven (1976, in Mooney 1988) estimated that 65% of the 250,000 or more plant species of the earth are found in tropical regions. Of this floristic assemblage, a large fraction are woody species. In the well-collected tropical moist forest of Barro Colorado Island, Panama, 39. 7% (481 of 1212 species) of the native phanerogams are woody, arborescent species (Croat 1978). Another 21. 9% are woody vines and lianas. Southeast Asian Dipterocarp forests may contain 120-200 species of trees per hectare (Whitmore 1984), and recent surveys in upper Amazonia re corded from 89 to 283 woody species ~ 10 cm dbh per hectare (Gentry 1988). Tropical communities thus represent a global woody flora of significant scope.
Author:
Publisher: Bioversity International
ISBN: 9290436492
Category : Forest genetic resources conservation
Languages : en
Pages : 89
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Book Description
Author: Susan Shen
Publisher: World Bank Publications
ISBN: 9780821332337
Category : Business & Economics
Languages : en
Pages : 152
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Book Description
World Bank Technical Paper No. 281. Provides an overview of environmentally related priority issues in Asian forestry and contributes to the critical work of understanding the complex dynamics of those issues.
Author: Lauren Fins
Publisher: Springer Science & Business Media
ISBN: 9401579873
Category : Nature
Languages : en
Pages : 422
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Book Description
This handbook was designed as a reference tool for forest geneticists, tree breeders and other tree improvement personnel, as well as a textbook for university courses and short-courses at the graduate level in quantitative genetics. The chapters focus on the decision points faced by quantitative geneticists and breeders in designing programs and analyzing data. Beginning with a justification for the use of quantitative genetics in decision making in tree improvement programs, the book continues with a brief presentation of fundamental principles, followed by discussions and evaluations of mating designs and field test designs, the use of best linear predictors to estimate breeding values, the use of computer programs in the analysis of variance for genetic information, the deployment of genetically improved stock for capturing gains, the use of economic models for program justification, and the development of seed transfer guidelines.
