Publications by authors named "L O Le Cunff"
Quantifying healthy and degraded inner tissues in plants is of great interest in agronomy, for example, to assess plant health and quality and monitor physiological traits or diseases. However, detecting functional and degraded plant tissues in-vivo without harming the plant is extremely challenging. New solutions are needed in ligneous and perennial species, for which the sustainability of plantations is crucial.
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- Grapevine breeding is facing challenges due to lengthy traditional methods (20-25 years) and the need to adapt to climate change, relying mainly on phenotypic data and few genetic markers.
- The study assessed genomic prediction to enhance breeding efficiency by evaluating 30 traits in Rosé wine and Cognac grapevine programs, using advanced prediction methods.
- Results showed significant variability in predictive abilities influenced by trait characteristics, allowing researchers to identify superior grapevine individuals for each program collaboratively with industry representatives.
Chimerism is the phenomenon when several genotypes coexist in a single individual. Used to understand plant ontogenesis they also have been valorised through new cultivar breeding. Viticulture has been taking economic advantage out of chimeras when the variant induced an important modification of wine type such as berry skin colour.
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- 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.
Article Synopsis
- * Researchers utilized a diverse collection of 279 grapevine cultivars over several years, analyzing 127 different traits related to yield and quality, while employing advanced genetic mapping techniques.
- * The findings revealed 489 reliable quantitative trait loci (QTLs), significantly enhancing the identification of genetic variations and providing insights for future breeding strategies, including the discovery of new candidate genes.