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The knowledge of genetic parameters (e.g. genetic
components of variance, heritability) and effects
(e.g. genetic value of an individual tree) are
essential to the efficient operation of forest tree
breeding programs. Many different methods have been
proposed for estimating them. This book explores some
aspects of the enhancement of methods for estimation
of genetic parameters and effects in forest trees.
The project is concerned with statistical methods for
describing and analysing data from forest tree
breeding program. The rapid development of the method
of spatial analysis techniques and the availability
of powerful computing devices have opened the
opportunities for a wider use of spatial and
multivariate methods of analysis in many fields of
research. The aim of the project is to enhance the
methods for the estimation of genetic parameters and
effects in forest tree breeding programs by taking
advantage of such developments. The study explores
the methods currently used and proposes their
enhancements by utilisation of spatial analysis and
multivariate techniques. The data sets used in the
study comprise simulated data sets and three data
sets from forest tree plantations.
components of variance, heritability) and effects
(e.g. genetic value of an individual tree) are
essential to the efficient operation of forest tree
breeding programs. Many different methods have been
proposed for estimating them. This book explores some
aspects of the enhancement of methods for estimation
of genetic parameters and effects in forest trees.
The project is concerned with statistical methods for
describing and analysing data from forest tree
breeding program. The rapid development of the method
of spatial analysis techniques and the availability
of powerful computing devices have opened the
opportunities for a wider use of spatial and
multivariate methods of analysis in many fields of
research. The aim of the project is to enhance the
methods for the estimation of genetic parameters and
effects in forest tree breeding programs by taking
advantage of such developments. The study explores
the methods currently used and proposes their
enhancements by utilisation of spatial analysis and
multivariate techniques. The data sets used in the
study comprise simulated data sets and three data
sets from forest tree plantations.