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LiDAR Is Effective in Characterizing Vine Growth and Detecting Associated Genetic Loci

Plant Phenomics 2023年第4期5卷 836-851页

作者： Elsa Chedid Komlan Avia Vincent Dumas Lionel Ley Nicolas Reibel Gisèle Butterlin maxime soma Raul Lopez-Lozano Frédéric Baret Didier Merdinoglu Éric Duchêne INRAE University of StrasbourgUMR SVQV28rue de Herrlisheim68000 ColmarFrance INRAE UEAV28rue de Herrlisheim68000 ColmarFrance INRAE Aix-Marseille UniversitéUMR RECOVER3275 Route de Cézanne13182 Aix-en-ProvenceFrance INRAE Avignon UniversitéUMR EMMAHUMT CAPTE228route de l'aérodrome84914 AvignonFrance

The strong societal demand to reduce pesticide use and adaptation to climate change challenges the capacities of phenotyping new varieties in the ***-throughput phenotyping is a way to obtain meaningful and reliable information on hundreds of genotypes in a limited *** evaluated traits related to growth in 209 genotypes from an interspecific grapevine biparental cross,between IJ119,a local genitor,and Divona,both in summer and in winter,using several methods:fresh pruning wood weight,exposed leaf area calculated from digital images,leaf chlorophyll concentration,and LiDAR-derived apparent *** high-density genetic information obtained by the genotyping by sequencing technology(GBS),we detected 6 regions of the grapevine genome[quantitative trait loci(QTL)]associated with the variations of the traits in the *** detection of statistically significant QTLs,as well as correlations(R^(2))with traditional methods above 0.46,shows that LiDAR technology is effective in characterizing the growth features of the *** calculated with LiDAR-derived total canopy and pruning wood volumes were high,above 0.66,and stable between growing *** variables provided genetic models explaining up to 47%of the phenotypic variance,which were better than models obtained with the exposed leaf area estimated from images and the destructive pruning weight *** results highlight the relevance of LiDAR-derived traits for characterizing genetically induced differences in grapevine growth and open new perspectives for high-throughput phenotyping of grapevines in the vineyard.

关键词： LiDAR traits hundreds

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