A simple model based on one single identified quantitative trait locus (QTL) in a two-way crossing system was used to demonstrate the power of mate selection algorithms as a natural means of opportunistic line development for optimization of crossbreeding programs over multiple generations. Mate selection automatically invokes divergent selection in two parental lines for an over-dominant QTL and increased frequency of the favorable allele toward fixation in the sire-line for a fully-dominant QTL. It was concluded that an optimal strategy of line development could be found by mate selection algorithms for a given set of parameters such as genetic model of QTL, breeding objective and initial frequency of the favorable allele in the...
Methods to formulate and maximize response to selection for a quantitative trait over multiple gener...
In any traditional Genetic Algorithm (GA), recombination is a dominant search operator and capable o...
We investigated the effectiveness of mate allocation strategies accounting for non-additive genetic ...
Abstract A simple model based on one single identified quantitative trait locus (QTL) in a two-way c...
A method was developed to optimize simultaneous selection for a quantitative trait with a known QTL ...
A mathematical approach was developed to model and optimize selection on multiple known quantitative...
Abstract Background Mate selection can be used as a framework to balance key technical, cost and log...
Using deterministic methods, rates of genetic gain (ýG) and inbreeding (ýF) were compared between pu...
Abstract Background The combination of optimized contribution dynamic selection and various mating s...
A method was derived that maximizes the genetic level of selected animals while constraining their a...
Background: Breeding goals in a crossbreeding system should be defined at the commercial crossbred l...
Benefits from the use of optimised selection for maximising genetic gain while constraining the rate...
The aim of this thesis is to study the selection methods to optimize genetic response in crossbreds ...
A mathematical approach to optimize selection on multiple quantitative trait loci (QTL) and an estim...
While selective breeding has played an important role in improving the economic performance of anim...
Methods to formulate and maximize response to selection for a quantitative trait over multiple gener...
In any traditional Genetic Algorithm (GA), recombination is a dominant search operator and capable o...
We investigated the effectiveness of mate allocation strategies accounting for non-additive genetic ...
Abstract A simple model based on one single identified quantitative trait locus (QTL) in a two-way c...
A method was developed to optimize simultaneous selection for a quantitative trait with a known QTL ...
A mathematical approach was developed to model and optimize selection on multiple known quantitative...
Abstract Background Mate selection can be used as a framework to balance key technical, cost and log...
Using deterministic methods, rates of genetic gain (ýG) and inbreeding (ýF) were compared between pu...
Abstract Background The combination of optimized contribution dynamic selection and various mating s...
A method was derived that maximizes the genetic level of selected animals while constraining their a...
Background: Breeding goals in a crossbreeding system should be defined at the commercial crossbred l...
Benefits from the use of optimised selection for maximising genetic gain while constraining the rate...
The aim of this thesis is to study the selection methods to optimize genetic response in crossbreds ...
A mathematical approach to optimize selection on multiple quantitative trait loci (QTL) and an estim...
While selective breeding has played an important role in improving the economic performance of anim...
Methods to formulate and maximize response to selection for a quantitative trait over multiple gener...
In any traditional Genetic Algorithm (GA), recombination is a dominant search operator and capable o...
We investigated the effectiveness of mate allocation strategies accounting for non-additive genetic ...