[HTML][HTML] Non-additive effects in genomic selection
In the last decade, genomic selection has become a standard in the genetic evaluation of
livestock populations. However, most procedures for the implementation of genomic …
livestock populations. However, most procedures for the implementation of genomic …
[HTML][HTML] Genomic selection in cereal breeding
CD Robertsen, RL Hjortshøj, LL Janss - Agronomy, 2019 - mdpi.com
Genomic Selection (GS) is a method in plant breeding to predict the genetic value of
untested lines based on genome-wide marker data. The method has been widely explored …
untested lines based on genome-wide marker data. The method has been widely explored …
[HTML][HTML] Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials
Modern whole-genome prediction (WGP) frameworks that focus on multi-environment trials
(MET) integrate large-scale genomics, phenomics, and envirotyping data. However, the …
(MET) integrate large-scale genomics, phenomics, and envirotyping data. However, the …
[HTML][HTML] Deep kernel and deep learning for genome-based prediction of single traits in multienvironment breeding trials
Deep learning (DL) is a promising method for genomic-enabled prediction. However, the
implementation of DL is difficult because many hyperparameters (number of hidden layers …
implementation of DL is difficult because many hyperparameters (number of hidden layers …
[HTML][HTML] Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits
Epistasis, commonly defined as the interaction between multiple genes, is an important
genetic component underlying phenotypic variation. Many statistical methods have been …
genetic component underlying phenotypic variation. Many statistical methods have been …
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 …
Advances in integrated genomic selection for rapid genetic gain in crop improvement: a review
C Anilkumar, NC Sunitha, Harikrishna, NB Devate… - Planta, 2022 - Springer
Main conclusion Genomic selection and its importance in crop breeding. Integration of GS
with new breeding tools and developing SOP for GS to achieve maximum genetic gain with …
with new breeding tools and developing SOP for GS to achieve maximum genetic gain with …
[HTML][HTML] Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis
Key message Including additive and additive-by-additive epistasis in a NOIA
parametrization did not yield orthogonal partitioning of genetic variances, nevertheless, it …
parametrization did not yield orthogonal partitioning of genetic variances, nevertheless, it …
[HTML][HTML] Integrating gene expression data into genomic prediction
Z Li, N Gao, JWR Martini, H Simianer - Frontiers in genetics, 2019 - frontiersin.org
Gene expression profiles potentially hold valuable information for the prediction of breeding
values and phenotypes. In this study, the utility of transcriptome data for phenotype …
values and phenotypes. In this study, the utility of transcriptome data for phenotype …
[HTML][HTML] Bayesian analysis and prediction of hybrid performance
Background The selection of hybrids is an essential step in maize breeding. However,
evaluating a large number of hybrids in field trials can be extremely costly. However …
evaluating a large number of hybrids in field trials can be extremely costly. However …