Publications by authors named "Thierry Pons"
Article Synopsis
- Phenomic prediction utilizes reflectance spectra to infer genetic information and has primarily focused on annual crops; this study pioneers its application in grapevine, analyzing data over two years across multiple traits.
- The research demonstrated stable relationships between spectra and genomic data across different grapevine populations, with varying predictive abilities influenced by population type and tissue analysis.
- The study found a significant positive correlation between genomic and phenomic predictive abilities, highlighting the potential for NIRS (Near-Infrared Reflectance Spectroscopy) as a promising tool in plant breeding.
Crop breeding involves two selection steps: choosing progenitors and selecting individuals within progenies. Genomic prediction, based on genome-wide marker estimation of genetic values, could facilitate these steps. However, its potential usefulness in grapevine (Vitis vinifera L.
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- - A half-diallel population of 624 vine plants was created by crossing five elite grapevine cultivars and genotyped using a method called GBS, leading to a detailed genetic map for Vitis vinifera L.
- - This genetic map, the densest of its kind for grapevines, spans 1378.3-cM and organizes 4437 markers across 19 chromosomes, with high coverage of the grapevine genome at 98.8%.
- - The research supports future genetic studies to enhance grape breeding efforts, particularly in developing varieties resilient to climate change, and the techniques used may benefit other perennial fruit crops.
Article Synopsis
- Researchers aimed to find new Quantitative Trait Loci (QTLs) that influence grapevine berry weight and seed content, as only a few have been identified before.
- The study identified five new QTLs associated with berry weight and four new QTLs for seed traits, with some explaining a substantial amount of total variance (up to 51%).
- A total of nine new QTLs were discovered, significantly enhancing the potential for marker-assisted selection and candidate gene studies in grapevine cultivation.