Genome-Assisted Prediction of Quantitative Traits Using the R Package sommer
G Covarrubias-Pazaran - PloS one, 2016 - journals.plos.org
Most traits of agronomic importance are quantitative in nature, and genetic markers have
been used for decades to dissect such traits. Recently, genomic selection has earned …
been used for decades to dissect such traits. Recently, genomic selection has earned …
MegaLMM: mega-scale linear mixed models for genomic predictions with thousands of traits
Large-scale phenotype data can enhance the power of genomic prediction in plant and
animal breeding, as well as human genetics. However, the statistical foundation of multi-trait …
animal breeding, as well as human genetics. However, the statistical foundation of multi-trait …
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 …
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 …
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 of hybrid performance in maize with models incorporating dominance and population specific marker effects
F Technow, C Riedelsheimer, TA Schrag… - Theoretical and Applied …, 2012 - Springer
Identifying high performing hybrids is an essential part of every maize breeding program.
Genomic prediction of maize hybrid performance allows to identify promising hybrids, when …
Genomic prediction of maize hybrid performance allows to identify promising hybrids, when …
Predicting quantitative traits with regression models for dense molecular markers and pedigree
The availability of genomewide dense markers brings opportunities and challenges to
breeding programs. An important question concerns the ways in which dense markers and …
breeding programs. An important question concerns the ways in which dense markers and …
Genome-wide prediction of discrete traits using Bayesian regressions and machine learning
O González-Recio, S Forni - Genetics Selection Evolution, 2011 - Springer
Background Genomic selection has gained much attention and the main goal is to increase
the predictive accuracy and the genetic gain in livestock using dense marker information …
the predictive accuracy and the genetic gain in livestock using dense marker information …
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 …
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 …