Comparison of weighted and unweighted stage‐wise analysis for genome‐wide association studies and genomic selection
Both genome‐wide association studies (GWAS) and genomic selection (GS) are done using
phenotypic and genomic data. The phenotypic data are usually based on multi‐environment …
phenotypic and genomic data. The phenotypic data are usually based on multi‐environment …
Genomic selection in multi-environment crop trials
Genomic selection in crop breeding introduces modeling challenges not found in animal
studies. These include the need to accommodate replicate plants for each line, consider …
studies. These include the need to accommodate replicate plants for each line, consider …
Effects of input data quantity on genome-wide association studies (GWAS)
Many software packages have been developed for Genome-Wide Association Studies
(GWAS) based on various statistical models. One key factor influencing the statistical …
(GWAS) based on various statistical models. One key factor influencing the statistical …
Evaluation of genome-wide selection efficiency in maize nested association mapping populations
Z Guo, DM Tucker, J Lu, V Kishore, G Gay - Theoretical and Applied …, 2012 - Springer
In comparison to conventional marker-assisted selection (MAS), which utilizes only a subset
of genetic markers associated with a trait to predict breeding values (BVs), genome-wide …
of genetic markers associated with a trait to predict breeding values (BVs), genome-wide …
GWASpro: a high-performance genome-wide association analysis server
We present GWASpro, a high-performance web server for the analyses of large-scale
genome-wide association studies (GWAS). GWASpro was developed to provide data …
genome-wide association studies (GWAS). GWASpro was developed to provide data …
Comparison of one-stage and two-stage genome-wide association studies
Linear mixed models are widely used in humans, animals, and plants to conduct genome-
wide association studies (GWAS). A characteristic of experimental designs for plants is that …
wide association studies (GWAS). A characteristic of experimental designs for plants is that …
Genomic prediction of breeding values when modeling genotype× environment interaction using pedigree and dense molecular markers
Genomic selection (GS) has become an important aid in plant and animal breeding.
Multienvironment (multitrait) models allow borrowing of information across environments …
Multienvironment (multitrait) models allow borrowing of information across environments …
Genomic selection allowing for marker‐by‐environment interaction
T Schulz‐Streeck, JO Ogutu, A Gordillo… - Plant …, 2013 - Wiley Online Library
Genomic selection has been routinely implemented in plant breeding in two stages. The first
stage usually omits the marker information and estimates adjusted means of genotypes …
stage usually omits the marker information and estimates adjusted means of genotypes …
Use of crop growth models with whole‐genome prediction: application to a maize multienvironment trial
High throughput genotyping, phenotyping, and envirotyping applied within plant breeding
multienvironment trials (METs) provide the data foundations for selection and tackling …
multienvironment trials (METs) provide the data foundations for selection and tackling …
Increased prediction accuracy in wheat breeding trials using a marker× environment interaction genomic selection model
M Lopez-Cruz, J Crossa, D Bonnett… - G3: Genes …, 2015 - academic.oup.com
Genomic selection (GS) models use genome-wide genetic information to predict genetic
values of candidates of selection. Originally, these models were developed without …
values of candidates of selection. Originally, these models were developed without …