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 …
Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations
Key message Integration of multi-omics data improved prediction accuracies of oat
agronomic and seed nutritional traits in multi-environment trials and distantly related …
agronomic and seed nutritional traits in multi-environment trials and distantly related …
Improvement of prediction ability by integrating multi-omic datasets in barley
Background Genomic prediction (GP) based on single nucleotide polymorphisms (SNP) has
become a broadly used tool to increase the gain of selection in plant breeding. However …
become a broadly used tool to increase the gain of selection in plant breeding. However …
Association studies and genomic prediction for genetic improvements in agriculture
To feed the fast growing global population with sufficient food using limited global resources,
it is urgent to develop and utilize cutting-edge technologies and improve efficiency of …
it is urgent to develop and utilize cutting-edge technologies and improve efficiency of …
Translating insights from the seed metabolome into improved prediction for lipid-composition traits in oat (Avena sativa L.)
Oat (Avena sativa L.) seed is a rich resource of beneficial lipids, soluble fiber, protein, and
antioxidants, and is considered a healthful food for humans. Little is known regarding the …
antioxidants, and is considered a healthful food for humans. Little is known regarding the …
Genomic prediction of seed nutritional traits in biparental families of oat (Avena sativa)
Selection for more nutritious crop plants is an important goal of plant breeding to improve
food quality and contribute to human health outcomes. While there are efforts to integrate …
food quality and contribute to human health outcomes. While there are efforts to integrate …
Prediction strategies for leveraging information of associated traits under single-and multi-trait approaches in soybeans
The availability of molecular markers has revolutionized conventional ways to improve
genotypes in plant and animal breeding through genome-based predictions. Several …
genotypes in plant and animal breeding through genome-based predictions. Several …
GWABLUP: genome-wide association assisted best linear unbiased prediction of genetic values
T Meuwissen, LS Eikje, AB Gjuvsland - Genetics Selection Evolution, 2024 - Springer
Background Since the very beginning of genomic selection, researchers investigated
methods that improved upon SNP-BLUP (single nucleotide polymorphism best linear …
methods that improved upon SNP-BLUP (single nucleotide polymorphism best linear …
Genome-wide association study as a powerful tool for dissecting competitive traits in legumes
Legumes are extremely valuable because of their high protein content and several other
nutritional components. The major challenge lies in maintaining the quantity and quality of …
nutritional components. The major challenge lies in maintaining the quantity and quality of …
Comparison of single-trait and multi-trait genome-wide association models and inclusion of correlated traits in the dissection of the genetic architecture of a complex …
Unknown genetic architecture makes it difficult to characterize the genetic basis of traits and
associated molecular markers because of the complexity of small effect quantitative trait loci …
associated molecular markers because of the complexity of small effect quantitative trait loci …