Genomic prediction (GP) is a novel statistical tool to estimate breeding values of selection candidates without the necessity to evaluate them phenotypically. The method calibrates a prediction model based on data of phenotyped individuals that were also genotyped with genome-wide molecular markers. The renunciation of an explicit identification of causal polymorphisms in the DNA sequence allows GP to explain significantly larger amounts of the genetic variance of complex traits than previous mapping-based approaches employed for marker-assisted selection. For these reasons, GP rapidly revolutionized dairy cattle breeding, where the method was originally developed and first implemented. By comparison, plant breeding is characterized by ofte...
In the past decades genetics was studied intensively leading to the knowledge that DNA is the molecu...
Not AvailableAn increase in the rate of crop improvement is essential for achieving sustained food p...
With marker and phenotype information from observed populations, genomic selection (GS) can be used ...
Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates the bre...
Many agronomic traits, such as grain yield, are controlled by polygenes with minor effects and epist...
The foundation of genomic selection has been laid at the beginning of this century. Since then, it h...
Genomic-enabled prediction models are of paramount importance for the successful implementation of g...
Due to the advent of new sequencing technologies and high-throughput phenotyping an almost unlimited...
Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates the bre...
Genome-wide prediction (GWP) was suggested in order to overcome the shortcomings of quantitative tra...
With advancements in science and technology, it has become easier and faster to perform complex comp...
Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful...
Genomic selection offers a greater potential for improving complex, quantitative traits in winter ry...
Nowadays, genome-wide association studies (GWAS) and genomic selection (GS) methods which use genome...
Nowadays, genome-wide association studies (GWAS) and genomic selection (GS) methods which use genome...
In the past decades genetics was studied intensively leading to the knowledge that DNA is the molecu...
Not AvailableAn increase in the rate of crop improvement is essential for achieving sustained food p...
With marker and phenotype information from observed populations, genomic selection (GS) can be used ...
Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates the bre...
Many agronomic traits, such as grain yield, are controlled by polygenes with minor effects and epist...
The foundation of genomic selection has been laid at the beginning of this century. Since then, it h...
Genomic-enabled prediction models are of paramount importance for the successful implementation of g...
Due to the advent of new sequencing technologies and high-throughput phenotyping an almost unlimited...
Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates the bre...
Genome-wide prediction (GWP) was suggested in order to overcome the shortcomings of quantitative tra...
With advancements in science and technology, it has become easier and faster to perform complex comp...
Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful...
Genomic selection offers a greater potential for improving complex, quantitative traits in winter ry...
Nowadays, genome-wide association studies (GWAS) and genomic selection (GS) methods which use genome...
Nowadays, genome-wide association studies (GWAS) and genomic selection (GS) methods which use genome...
In the past decades genetics was studied intensively leading to the knowledge that DNA is the molecu...
Not AvailableAn increase in the rate of crop improvement is essential for achieving sustained food p...
With marker and phenotype information from observed populations, genomic selection (GS) can be used ...