Evaluation of the utility of gene expression and metabolic information for genomic prediction in maize
Z Guo, MM Magwire, CJ Basten, Z Xu… - Theoretical and applied …, 2016 - Springer
Abstract Key Message Predictive ability derived from gene expression and metabolic
information was evaluated using genomic prediction methods based on datasets from a …
information was evaluated using genomic prediction methods based on datasets from a …
Transcriptome-based prediction of complex traits in maize
The ability to predict traits from genome-wide sequence information (ie, genomic prediction)
has improved our understanding of the genetic basis of complex traits and transformed …
has improved our understanding of the genetic basis of complex traits and transformed …
Prediction and association mapping of agronomic traits in maize using multiple omic data
Genomic selection holds a great promise to accelerate plant breeding via early selection
before phenotypes are measured, and it offers major advantages over marker-assisted …
before phenotypes are measured, and it offers major advantages over marker-assisted …
Omics-based hybrid prediction in maize
M Westhues, TA Schrag, C Heuer, G Thaller… - Theoretical and applied …, 2017 - Springer
Key message Complementing genomic data with other “omics” predictors can increase the
probability of success for predicting the best hybrid combinations using complex agronomic …
probability of success for predicting the best hybrid combinations using complex agronomic …
Benchmarking parametric and machine learning models for genomic prediction of complex traits
The usefulness of genomic prediction in crop and livestock breeding programs has
prompted efforts to develop new and improved genomic prediction algorithms, such as …
prompted efforts to develop new and improved genomic prediction algorithms, such as …
Genome-based prediction of maize hybrid performance across genetic groups, testers, locations, and years
Key message The calibration data for genomic prediction should represent the full genetic
spectrum of a breeding program. Data heterogeneity is minimized by connecting data …
spectrum of a breeding program. Data heterogeneity is minimized by connecting data …
Genomic prediction in maize breeding populations with genotyping-by-sequencing
Abstract Genotyping-by-sequencing (GBS) technologies have proven capacity for delivering
large numbers of marker genotypes with potentially less ascertainment bias than standard …
large numbers of marker genotypes with potentially less ascertainment bias than standard …
Improvement of prediction ability by integrating multi-omic datasets in barley
Background Genomic prediction (GP) based on single nucleotide polymorphisms (SNP) has
become a broadly used tool to increase the gain of selection in plant breeding. However …
become a broadly used tool to increase the gain of selection in plant breeding. However …
Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environments
Genomic prediction is expected to considerably increase genetic gains by increasing
selection intensity and accelerating the breeding cycle. In this study, marker effects …
selection intensity and accelerating the breeding cycle. In this study, marker effects …
Comparison of whole-genome prediction models for traits with contrasting genetic architecture in a diversity panel of maize inbred lines
C Riedelsheimer, F Technow, AE Melchinger - BMC genomics, 2012 - Springer
Background There is increasing empirical evidence that whole-genome prediction (WGP) is
a powerful tool for predicting line and hybrid performance in maize. However, there is a lack …
a powerful tool for predicting line and hybrid performance in maize. However, there is a lack …