Publications by authors named "Gwenola Marage"
This study compares five models of GWAS, to show the added value of non-additive modeling of allelic effects to identify genomic regions controlling flowering time of sunflower hybrids. Genome-wide association studies are a powerful and widely used tool to decipher the genetic control of complex traits. One of the main challenges for hybrid crops, such as maize or sunflower, is to model the hybrid vigor in the linear mixed models, considering the relatedness between individuals.
View Article and Find Full Text PDFPrediction of hybrid performance using incomplete factorial mating designs is widely used in breeding programs including different heterotic groups. Based on the general combining ability (GCA) of the parents, predictions are accurate only if the genetic variance resulting from the specific combining ability is small and both parents have phenotyped descendants. Genomic selection (GS) can predict performance using a model trained on both phenotyped and genotyped hybrids that do not necessarily include all hybrid parents.
View Article and Find Full Text PDFArticle Synopsis
- The domesticated sunflower, known as Helianthus annuus L., shows potential for climate change adaptation due to its ability to produce stable yields under varying environmental conditions, including drought.
- Researchers have created a high-quality reference for the sunflower genome, covering 3.6 gigabases, which includes insights into its evolutionary history and whole-genome duplications that occurred millions of years ago.
- This work enables the development of gene networks linked to key traits like flowering time and oil metabolism, setting the stage for future improvements in sunflower resilience and oil production relevant to agricultural and nutritional needs.