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Chedid E, Avia K, Dumas V, Ley L, Reibel N, Butterlin G, Soma M, Lopez-Lozano R, Baret F, Merdinoglu D, Duchêne É. LiDAR Is Effective in Characterizing Vine Growth and Detecting Associated Genetic Loci. PLANT PHENOMICS (WASHINGTON, D.C.) 2023; 5:0116. [PMID: 38026470 PMCID: PMC10655830 DOI: 10.34133/plantphenomics.0116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 10/30/2023] [Indexed: 12/01/2023]
Abstract
The strong societal demand to reduce pesticide use and adaptation to climate change challenges the capacities of phenotyping new varieties in the vineyard. High-throughput phenotyping is a way to obtain meaningful and reliable information on hundreds of genotypes in a limited period. We 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 volumes. Using 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 progeny. The detection of statistically significant QTLs, as well as correlations (R2) with traditional methods above 0.46, shows that LiDAR technology is effective in characterizing the growth features of the grapevine. Heritabilities calculated with LiDAR-derived total canopy and pruning wood volumes were high, above 0.66, and stable between growing seasons. These 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 measurements. Our 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.
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Affiliation(s)
- Elsa Chedid
- INRAE,
University of Strasbourg, UMR SVQV, 28, rue de Herrlisheim, 68000 Colmar, France
| | - Komlan Avia
- INRAE,
University of Strasbourg, UMR SVQV, 28, rue de Herrlisheim, 68000 Colmar, France
| | - Vincent Dumas
- INRAE,
University of Strasbourg, UMR SVQV, 28, rue de Herrlisheim, 68000 Colmar, France
| | - Lionel Ley
- INRAE, UEAV, 28, rue de Herrlisheim, 68000 Colmar, France
| | - Nicolas Reibel
- INRAE, UEAV, 28, rue de Herrlisheim, 68000 Colmar, France
| | - Gisèle Butterlin
- INRAE,
University of Strasbourg, UMR SVQV, 28, rue de Herrlisheim, 68000 Colmar, France
| | - Maxime Soma
- INRAE, Aix-Marseille Université, UMR RECOVER, 3275 Route de Cézanne, 13182 Aix-en-Provence, France
| | - Raul Lopez-Lozano
- INRAE,
Avignon Université, UMR EMMAH, UMT CAPTE, 228, route de l’aérodrome, 84914 Avignon, France
| | - Frédéric Baret
- INRAE,
Avignon Université, UMR EMMAH, UMT CAPTE, 228, route de l’aérodrome, 84914 Avignon, France
| | - Didier Merdinoglu
- INRAE,
University of Strasbourg, UMR SVQV, 28, rue de Herrlisheim, 68000 Colmar, France
| | - Éric Duchêne
- INRAE,
University of Strasbourg, UMR SVQV, 28, rue de Herrlisheim, 68000 Colmar, France
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Theerawitaya C, Praseartkul P, Taota K, Tisarum R, Samphumphuang T, Singh HP, Cha-Um S. Investigating high throughput phenotyping based morpho-physiological and biochemical adaptations of indian pennywort (Centella asiatica L. urban) in response to different irrigation regimes. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2023; 202:107927. [PMID: 37544120 DOI: 10.1016/j.plaphy.2023.107927] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/03/2023] [Accepted: 08/01/2023] [Indexed: 08/08/2023]
Abstract
Indian pennywort (Centella asiatica L. Urban; Apiaceae) is a herbaceous plant used as traditional medicine in several regions worldwide. An adequate supply of fresh water in accordance with crop requirements is an important tool for maintaining the productivity and quality of medicinal plants. The objective of this study was to find a suitable irrigation schedule for improving the morphological and physiological characteristics, and crop productivity of Indian pennywort using high-throughput phenotyping. Four treatments were considered based on irrigation schedules (100, 75, 50, and 25% of field capacity denoted by I100 [control], I75, I50, and I25, respectively). The number of leaves, plant perimeter, plant volume, and shoot dry weight were sustained in I75 irrigated plants, whereas adverse effects on plant growth parameters were observed when plants were subjected to I25 irrigation for 21 days. Leaf temperature (Tleaf) was also retained in I75 irrigated plants, when compared with control. An increase of 2.0 °C temperature was detected in the Tleaf of plants under I25 irrigation treatment when compared with control. The increase in Tleaf was attributed to a decreased transpiration rate (R2 = 0.93), leading to an elevated crop water stress index. Green reflectance and leaf greenness remained unchanged in plants under I75 irrigation, while significantly decreased under I50 and I25 irrigation. These decreases were attributed to declined leaf osmotic potential, increased non-photochemical quenching, and inhibition of net photosynthetic rate (Pn). The asiatic acid and total centellosides in the leaf tissues, and centellosides yield of plants under I75 irrigation were retained when compared with control, while these parameters were regulated to maximal when exposed to I50 irrigation. Based on the results, I75 irrigation treatment was identified as the optimum irrigation schedule for Indian pennywort in terms of sustained biomass and a stable total centellosides. However, further validation in the field trials at multiple locations and involving different crop rotations is recommended to confirm these findings.
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Affiliation(s)
- Cattarin Theerawitaya
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, 12120, Thailand
| | - Patchara Praseartkul
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, 12120, Thailand
| | - Kanyarat Taota
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, 12120, Thailand
| | - Rujira Tisarum
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, 12120, Thailand
| | - Thapanee Samphumphuang
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, 12120, Thailand
| | - Harminder Pal Singh
- Department of Environment Studies, Faculty of Science, Panjab University, Chandigarh, 160014, India
| | - Suriyan Cha-Um
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, 12120, Thailand.
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Fernandez O, Lemaître-Guillier C, Songy A, Robert-Siegwald G, Lebrun MH, Schmitt-Kopplin P, Larignon P, Adrian M, Fontaine F. The Combination of Both Heat and Water Stresses May Worsen Botryosphaeria Dieback Symptoms in Grapevine. PLANTS (BASEL, SWITZERLAND) 2023; 12:plants12040753. [PMID: 36840101 PMCID: PMC9961737 DOI: 10.3390/plants12040753] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/18/2023] [Accepted: 01/31/2023] [Indexed: 06/12/2023]
Abstract
(1) Background: Grapevine trunk diseases (GTDs) have become a global threat to vineyards worldwide. These diseases share three main common features. First, they are caused by multiple pathogenic micro-organisms. Second, these pathogens often maintain a long latent phase, which makes any research in pathology and symptomatology challenging. Third, a consensus is raising to pinpoint combined abiotic stresses as a key factor contributing to disease symptom expression. (2) Methods: We analyzed the impact of combined abiotic stresses in grapevine cuttings artificially infected by two fungi involved in Botryosphaeria dieback (one of the major GTDs), Neofusicoccum parvum and Diplodia seriata. Fungal-infected and control plants were subjected to single or combined abiotic stresses (heat stress, drought stress or both). Disease intensity was monitored thanks to the measurement of necrosis area size. (3) Results and conclusions: Overall, our results suggest that combined stresses might have a stronger impact on disease intensity upon infection by the less virulent pathogen Diplodia seriata. This conclusion is discussed through the impact on plant physiology using metabolomic and transcriptomic analyses of leaves sampled for the different conditions.
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Affiliation(s)
- Olivier Fernandez
- Unité Résistance Induite et Bioprotection des Plantes EA 4707, USC INRAE 1488, SFR Condorcet FR CNRS 3417, Université de Reims Champagne-Ardenne, 51100 Reims, France
| | | | - Aurélie Songy
- Unité Résistance Induite et Bioprotection des Plantes EA 4707, USC INRAE 1488, SFR Condorcet FR CNRS 3417, Université de Reims Champagne-Ardenne, 51100 Reims, France
| | | | - Marc-Henri Lebrun
- Research Group Genomics of Plant-Pathogen Interactions, Research Unit Biologie et Gestion des Risques en Agriculture, UR 1290 BIOGER, Université Paris-Saclay, 78850 Thiverval-Grignon, France
| | - Philippe Schmitt-Kopplin
- Analytical BioGeoChemistry, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | | | - Marielle Adrian
- Agroécologie, Institut Agro Dijon, CNRS, INRAE, Université Bourgogne Franche-Comté, 21000 Dijon, France
| | - Florence Fontaine
- Unité Résistance Induite et Bioprotection des Plantes EA 4707, USC INRAE 1488, SFR Condorcet FR CNRS 3417, Université de Reims Champagne-Ardenne, 51100 Reims, France
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