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 …
Using genomic prediction to characterize environments and optimize prediction accuracy in applied breeding data
Simulation and empirical studies of genomic selection (GS) show accuracies sufficient to
generate rapid annual genetic gains. Whole‐genome genotyping provides the opportunity to …
generate rapid annual genetic gains. Whole‐genome genotyping provides the opportunity to …
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 …
Training population design and resource allocation for genomic selection in plant breeding
Wide-scale adoption of genomic selection in cultivar development programs will
dramatically alter the role of phenotyping from a direct source of information for selection to …
dramatically alter the role of phenotyping from a direct source of information for selection to …
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 …
Optimization of multi-environment trials for genomic selection based on crop models
Key message We propose a statistical criterion to optimize multi-environment trials to predict
genotype× environment interactions more efficiently, by combining crop growth models and …
genotype× environment interactions more efficiently, by combining crop growth models and …
Genomic selection in multi‐environment plant breeding trials using a factor analytic linear mixed model
DJ Tolhurst, KL Mathews, AB Smith… - Journal of Animal …, 2019 - Wiley Online Library
Genomic selection (GS) is a statistical and breeding methodology designed to improve
genetic gain. It has proven to be successful in animal breeding; however, key points of …
genetic gain. It has proven to be successful in animal breeding; however, key points of …
Fully efficient, two-stage analysis of multi-environment trials with directional dominance and multi-trait genomic selection
JB Endelman - Theoretical and Applied Genetics, 2023 - Springer
Key message R/StageWise enables fully efficient, two-stage analysis of multi-environment,
multi-trait datasets for genomic selection, including support for dominance heterosis and …
multi-trait datasets for genomic selection, including support for dominance heterosis and …
Modeling genotype× environment interaction for genomic selection with unbalanced data from a wheat breeding program
Genomic selection (GS) has successfully been used in plant breeding to improve selection
efficiency and reduce breeding time and cost. However, there is not a clear strategy on how …
efficiency and reduce breeding time and cost. However, there is not a clear strategy on how …
Genomic selection and prediction in plant breeding
The availability of thousands of genome-wide molecular markers has made possible the use
of genomic selection in plants and animals. However, the evaluation of models for genomic …
of genomic selection in plants and animals. However, the evaluation of models for genomic …