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 …
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 …
Genomic prediction of maize microphenotypes provides insights for optimizing selection and mining diversity
Effective evaluation of millions of crop genetic stocks is an essential component of exploiting
genetic diversity to achieve global food security. By leveraging genomics and data analytics …
genetic diversity to achieve global food security. By leveraging genomics and data analytics …
Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data
High-throughput phenotyping (HTP) has expanded the dimensionality of data in plant
research; however, HTP has resulted in few novel biological discoveries to date. Field …
research; however, HTP has resulted in few novel biological discoveries to date. Field …
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 …
[HTML][HTML] 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 …
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 …
[HTML][HTML] Genomic prediction models for traits differing in heritability for soybean, rice, and maize
Background Genomic selection is a powerful tool in plant breeding. By building a prediction
model using a training set with markers and phenotypes, genomic estimated breeding …
model using a training set with markers and phenotypes, genomic estimated breeding …
Beyond Genomic Prediction: Combining Different Types of omics Data Can Improve Prediction of Hybrid Performance in Maize
TA Schrag, M Westhues, W Schipprack, F Seifert… - Genetics, 2018 - academic.oup.com
The ability to predict the agronomic performance of single-crosses with high precision is
essential for selecting superior candidates for hybrid breeding. With recent technological …
essential for selecting superior candidates for hybrid breeding. With recent technological …
Genome‐wide atlas of transcription during maize development
Maize is an important model species and a major constituent of human and animal diets. It
has also emerged as a potential feedstock and model system for bioenergy research due to …
has also emerged as a potential feedstock and model system for bioenergy research due to …