Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction …
A successful strategy for prediction of crop yield that accounts for the effects of genotype,
environment and their interactions with management will create many opportunities for …
environment and their interactions with management will create many opportunities for …
Integrating crop growth models with whole genome prediction through approximate Bayesian computation
Genomic selection, enabled by whole genome prediction (WGP) methods, is revolutionizing
plant breeding. Existing WGP methods have been shown to deliver accurate predictions in …
plant breeding. Existing WGP methods have been shown to deliver accurate predictions in …
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 …
Using genomic prediction with crop growth models enables the prediction of associated traits in wheat
A Jighly, T Thayalakumaran, GJ O'Leary… - Journal of …, 2023 - academic.oup.com
Crop growth models (CGM) can predict the performance of a cultivar in untested
environments by sampling genotype-specific parameters. As they cannot predict the …
environments by sampling genotype-specific parameters. As they cannot predict the …
Predicting Genotype× Environment× Management (G× E× M) interactions for the design of crop improvement strategies: integrating breeder, agronomist, and farmer …
Summary Genotype‐by‐environment‐by‐management (G× E× M) interactions for crop
productivity represent both challenges and opportunities for long‐term crop improvement …
productivity represent both challenges and opportunities for long‐term crop improvement …
Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials
Breeding for drought tolerance is a challenging task that requires costly, extensive, and
precise phenotyping. Genomic selection (GS) can be used to maximize selection efficiency …
precise phenotyping. Genomic selection (GS) can be used to maximize selection efficiency …
Biological reality and parsimony in crop models—why we need both in crop improvement!
The potential to add significant value to the rapid advances in plant breeding technologies
associated with statistical whole-genome prediction methods is a new frontier for crop …
associated with statistical whole-genome prediction methods is a new frontier for crop …
Whole-genome regression and prediction methods applied to plant and animal breeding
G de Los Campos, JM Hickey, R Pong-Wong… - Genetics, 2013 - academic.oup.com
Genomic-enabled prediction is becoming increasingly important in animal and plant
breeding and is also receiving attention in human genetics. Deriving accurate predictions of …
breeding and is also receiving attention in human genetics. Deriving accurate predictions of …
Genomic prediction of agronomic traits in wheat using different models and cross-validation designs
Key message Genomic predictions across environments and within populations resulted in
moderate to high accuracies but across-population genomic prediction should not be …
moderate to high accuracies but across-population genomic prediction should not be …
Modelling of genotype by environment interaction and prediction of complex traits across multiple environments as a synthesis of crop growth modelling, genetics and …
Selection processes in plant breeding depend critically on the quality of phenotype
predictions. The phenotype is classically predicted as a function of genotypic and …
predictions. The phenotype is classically predicted as a function of genotypic and …