Open-nucleus breeding was evaluated by stochastic simulation. Methodology was developed for unrestricted migration rate between two tiers (main and elite). Genetic progress in the breeding population was iteratively maximized for a wide range of restrictions on diversity varying from strong family selection to balanced within-family selection. The model assumed genetic parameters typical for growth traits in conifers and accounted for inbreeding depression. Comparison was made with a single population without hierarchical structure assuming constant testing effort. A seed orchard was established in each breeding cycle as a selected subset of the breeding population. The extra gain achieved by assigning better mates into the elite population...
In breeding, optimal contribution selection (OCS) is one of the most effective strategies to balance...
Tree breeders often face the challenge of conserving genetic diversity, while at the same time maxim...
Twelve years have passed since the early outlooks of applying genomic selection (GS) to forest tree ...
Papers and abstracts from the 27th Southern Forest Tree Improvement Conference held at Oklahoma Stat...
Genomic selection is a proven technology in animal and plant breeding to accelerate genetic gain, bu...
This thesis develops a number of tools and strategies for the adaptation to forest trees of the indi...
Despite recent developments in molecular markers, most forest tree breeding programmes do not use th...
Computer simulations were employed in this study aiming to understand the effects of repeated cycles...
BLUP (Best linear unbiased prediction) method has been widely used in forest tree improvement progra...
A software tool was developed for the stochastic simulation of multiple traits and uses sequential c...
Seed orchards represent the link between breeding and silvicultural activities. They were expected ...
In the domestication and breeding of tree species that suffer from inbreeding depression ( ID), the ...
Climate change and the increasing demand for sustainable energy resources require urgent strategies ...
Breeding conifer species for phenotypic improvement is challenging due to delayed expression of impo...
The development and implementation of statistical tools to improve inference in sustainable forest t...
In breeding, optimal contribution selection (OCS) is one of the most effective strategies to balance...
Tree breeders often face the challenge of conserving genetic diversity, while at the same time maxim...
Twelve years have passed since the early outlooks of applying genomic selection (GS) to forest tree ...
Papers and abstracts from the 27th Southern Forest Tree Improvement Conference held at Oklahoma Stat...
Genomic selection is a proven technology in animal and plant breeding to accelerate genetic gain, bu...
This thesis develops a number of tools and strategies for the adaptation to forest trees of the indi...
Despite recent developments in molecular markers, most forest tree breeding programmes do not use th...
Computer simulations were employed in this study aiming to understand the effects of repeated cycles...
BLUP (Best linear unbiased prediction) method has been widely used in forest tree improvement progra...
A software tool was developed for the stochastic simulation of multiple traits and uses sequential c...
Seed orchards represent the link between breeding and silvicultural activities. They were expected ...
In the domestication and breeding of tree species that suffer from inbreeding depression ( ID), the ...
Climate change and the increasing demand for sustainable energy resources require urgent strategies ...
Breeding conifer species for phenotypic improvement is challenging due to delayed expression of impo...
The development and implementation of statistical tools to improve inference in sustainable forest t...
In breeding, optimal contribution selection (OCS) is one of the most effective strategies to balance...
Tree breeders often face the challenge of conserving genetic diversity, while at the same time maxim...
Twelve years have passed since the early outlooks of applying genomic selection (GS) to forest tree ...