Genomic selection: genome-wide prediction in plant improvement
Association analysis is used to measure relations between markers and quantitative trait loci
(QTL). Their estimation ignores genes with small effects that trigger underpinning …
(QTL). Their estimation ignores genes with small effects that trigger underpinning …
[HTML][HTML] Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.)
In the last decade the breeding technology referred to as 'genomic selection'(GS) has been
implemented in a variety of species, with particular success in animal breeding. Recent …
implemented in a variety of species, with particular success in animal breeding. Recent …
Genome-wide regression and prediction with the BGLR statistical package
Many modern genomic data analyses require implementing regressions where the number
of parameters (p, eg, the number of marker effects) exceeds sample size (n). Implementing …
of parameters (p, eg, the number of marker effects) exceeds sample size (n). Implementing …
A deep convolutional neural network approach for predicting phenotypes from genotypes
Main conclusion Deep learning is a promising technology to accurately select individuals
with high phenotypic values based on genotypic data. Abstract Genomic selection (GS) is a …
with high phenotypic values based on genotypic data. Abstract Genomic selection (GS) is a …
Factors affecting the accuracy of genomic selection for agricultural economic traits in maize, cattle, and pig populations
Genomic Selection (GS) has been proved to be a powerful tool for estimating genetic values
in plant and livestock breeding. Newly developed sequencing technologies have …
in plant and livestock breeding. Newly developed sequencing technologies have …
Perspectives for genomic selection applications and research in plants
Genomic selection (GS) has created a lot of excitement and expectations in the animal‐and
plant‐breeding research communities. In this review, we briefly describe how genomic …
plant‐breeding research communities. In this review, we briefly describe how genomic …
[HTML][HTML] Integrated genomic selection for rapid improvement of crops
An increase in the rate of crop improvement is essential for achieving sustained food
production and other needs of ever-increasing population. Genomic selection (GS) is a …
production and other needs of ever-increasing population. Genomic selection (GS) is a …
Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize
Maize (Zea mays L.) serves as model plant for heterosis research and is the crop where
hybrid breeding was pioneered. We analyzed genomic and phenotypic data of 1254 hybrids …
hybrid breeding was pioneered. We analyzed genomic and phenotypic data of 1254 hybrids …
Investigating drought tolerance in chickpea using genome-wide association map** and genomic selection based on whole-genome resequencing data
Drought tolerance is a complex trait that involves numerous genes. Identifying key causal
genes or linked molecular markers can facilitate the fast development of drought tolerant …
genes or linked molecular markers can facilitate the fast development of drought tolerant …
Optimization of genomic selection training populations with a genetic algorithm
In this article, we imagine a breeding scenario with a population of individuals that have
been genotyped but not phenotyped. We derived a computationally efficient statistic that …
been genotyped but not phenotyped. We derived a computationally efficient statistic that …