Genomic selection in tropical perennial crops and plantation trees: a review
EG Seyum, NH Bille, WG Abtew, N Munyengwa… - Molecular …, 2022 - Springer
To overcome the multiple challenges currently faced by agriculture, such as climate change
and soil deterioration, more efficient plant breeding strategies are required. Genomic …
and soil deterioration, more efficient plant breeding strategies are required. Genomic …
Genomic prediction methods accounting for nonadditive genetic effects
The use of genomic information for prediction of future phenotypes or breeding values for
the candidates to selection has become a standard over the last decade. However, most …
the candidates to selection has become a standard over the last decade. However, most …
Multi-omics-based prediction of hybrid performance in canola
D Knoch, CR Werner, RC Meyer, D Riewe… - Theoretical and Applied …, 2021 - Springer
Key message Complementing or replacing genetic markers with transcriptomic data and use
of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid …
of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid …
Genome-wide association mapping and genomic prediction of yield-related traits and starch pasting properties in cassava
C Phumichai, P Aiemnaka, P Nathaisong… - Theoretical and Applied …, 2022 - Springer
Key message GWAS identified eight yield-related, peak starch type of waxy and wild-type
starch and 21 starch pasting property-related traits (QTLs). Prediction ability of eight GS …
starch and 21 starch pasting property-related traits (QTLs). Prediction ability of eight GS …
A multiple-trait Bayesian Lasso for genome-enabled analysis and prediction of complex traits
D Gianola, RL Fernando - Genetics, 2020 - academic.oup.com
A multiple-trait Bayesian LASSO (MBL) for genome-based analysis and prediction of
quantitative traits is presented and applied to two real data sets. The data-generating model …
quantitative traits is presented and applied to two real data sets. The data-generating model …
Influence of genetic interactions on polygenic prediction
Prediction of phenotypes from genotypes is an important objective to fulfill the promises of
genomics, precision medicine and agriculture. Although it's now possible to account for the …
genomics, precision medicine and agriculture. Although it's now possible to account for the …
[HTML][HTML] Machine learning methods for genomic prediction of cow behavioral traits measured by automatic milking systems in North American Holstein cattle
Identifying genome-enabled methods that provide more accurate genomic prediction is
crucial when evaluating complex traits such as dairy cow behavior. In this study, we aimed to …
crucial when evaluating complex traits such as dairy cow behavior. In this study, we aimed to …
Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments
E Vojgani, T Pook, JWR Martini, AC Hölker… - Theoretical and Applied …, 2021 - Springer
Abstract Key Message The accuracy of genomic prediction of phenotypes can be increased
by including the top-ranked pairwise SNP interactions into the prediction model. Abstract We …
by including the top-ranked pairwise SNP interactions into the prediction model. Abstract We …
Dissecting the genetic architecture of biofuel-related traits in a sorghum breeding population
M Ishimori, H Takanashi, K Hamazaki… - G3: Genes …, 2020 - academic.oup.com
In sorghum [Sorghum bicolor (L.) Moench], hybrid cultivars for the biofuel industry are
desired. Along with selection based on testcross performance, evaluation of the breeding …
desired. Along with selection based on testcross performance, evaluation of the breeding …