[HTML][HTML] Optimizing training population size and genotyping strategy for genomic prediction using association study results and pedigree information. A case of study …
Wheat breeding programs generate a large amount of variation which cannot be completely
explored because of limited phenotyping throughput. Genomic prediction (GP) has been …
explored because of limited phenotyping throughput. Genomic prediction (GP) has been …
[HTML][HTML] Impact of linkage disequilibrium heterogeneity along the genome on genomic prediction and heritability estimation
D Ren, X Cai, Q Lin, H Ye, J Teng, J Li, X Ding… - Genetics Selection …, 2022 - Springer
Background Compared to medium-density single nucleotide polymorphism (SNP) data, high-
density SNP data contain abundant genetic variants and provide more information for the …
density SNP data contain abundant genetic variants and provide more information for the …
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 …
[HTML][HTML] Improving genomic prediction for seed quality traits in oat (Avena sativa L.) using trait-specific relationship matrices
The observable phenotype is the manifestation of information that is passed along different
organization levels (transcriptional, translational, and metabolic) of a biological system. The …
organization levels (transcriptional, translational, and metabolic) of a biological system. The …
[HTML][HTML] Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)
HJ Auinger, M Schönleben, C Lehermeier… - Theoretical and applied …, 2016 - Springer
Key message Genomic prediction accuracy can be significantly increased by model
calibration across multiple breeding cycles as long as selection cycles are connected by …
calibration across multiple breeding cycles as long as selection cycles are connected by …
[HTML][HTML] Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize
Quantitative genetics states that phenotypic variation is a consequence of the interaction
between genetic and environmental factors. Predictive breeding is based on this statement …
between genetic and environmental factors. Predictive breeding is based on this statement …
[HTML][HTML] An efficient unified model for genome-wide association studies and genomic selection
H Li, G Su, L Jiang, Z Bao - Genetics Selection Evolution, 2017 - Springer
Background A quantitative trait is controlled both by major variants with large genetic effects
and by minor variants with small effects. Genome-wide association studies (GWAS) are an …
and by minor variants with small effects. Genome-wide association studies (GWAS) are an …
[HTML][HTML] Genome-wide association studies and comparison of models and cross-validation strategies for genomic prediction of quality traits in advanced winter wheat …
The aim of the this study was to identify SNP markers associated with five important wheat
quality traits (grain protein content, Zeleny sedimentation, test weight, thousand-kernel …
quality traits (grain protein content, Zeleny sedimentation, test weight, thousand-kernel …
[HTML][HTML] On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids
Genome-wide association studies (GWAS) is one of the most popular methods of studying
the genetic control of traits. This methodology has been intensely performed on inbred …
the genetic control of traits. This methodology has been intensely performed on inbred …