Modeling vegetative vigour in grapevine: unraveling underlying mechanisms
Mechanistic modeling constitutes a powerful tool to unravel complex biological phenomena. This study describes the construction of a mechanistic, dynamic model for grapevine plant growth and canopy biomass (vigor). To parametrize and validate the model, the progeny from a cross of Ramsey (Vitis cham...
| Autores principales: | , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/8572 https://www.sciencedirect.com/science/article/pii/S2405844020325512 https://doi.org/10.1016/j.heliyon.2020.e05708 |
| _version_ | 1855484226450751488 |
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| author | Hugalde, Ines Pilar Agüero, Cecilia B. Barrios-Masias, Felipe H. Romero, Nina Nguyen, Andy Viet Riaz, Summaira Piccoli, Patricia Noemí McElrone, Andrew J. Walker, M. Andrew Vila, Hernan Felix |
| author_browse | Agüero, Cecilia B. Barrios-Masias, Felipe H. Hugalde, Ines Pilar McElrone, Andrew J. Nguyen, Andy Viet Piccoli, Patricia Noemí Riaz, Summaira Romero, Nina Vila, Hernan Felix Walker, M. Andrew |
| author_facet | Hugalde, Ines Pilar Agüero, Cecilia B. Barrios-Masias, Felipe H. Romero, Nina Nguyen, Andy Viet Riaz, Summaira Piccoli, Patricia Noemí McElrone, Andrew J. Walker, M. Andrew Vila, Hernan Felix |
| author_sort | Hugalde, Ines Pilar |
| collection | INTA Digital |
| description | Mechanistic modeling constitutes a powerful tool to unravel complex biological phenomena. This study describes the construction of a mechanistic, dynamic model for grapevine plant growth and canopy biomass (vigor). To parametrize and validate the model, the progeny from a cross of Ramsey (Vitis champinii) × Riparia Gloire (V. riparia) was evaluated. Plants with different vigor were grown in a greenhouse during the summer of 2014 and 2015. One set of plants was grafted with Cabernet Sauvignon. Shoot growth rate (b), leaf area (LA), dry biomass, whole plant and root specific hydraulic conductance (kH and Lpr), stomatal conductance (gs), and water potential (Ψ) were measured. Partitioning indices and specific leaf area (SLA) were calculated. The model includes an empirical fit of a purported seasonal pattern of bioactive GAs based on published seasonal evolutionary levels and reference values. The model provided a good fit of the experimental data, with R = 0.85. Simulation of single trait variations defined the individual effect of each variable on vigor determination. The model predicts, with acceptable accuracy, the vigor of a young plant through the measurement of Lpr and SLA. The model also permits further understanding of the functional traits that govern vigor, and, ultimately, could be considered useful for growers, breeders and those studying climate change. |
| format | Artículo |
| id | INTA8572 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA85722021-01-07T14:39:30Z Modeling vegetative vigour in grapevine: unraveling underlying mechanisms Hugalde, Ines Pilar Agüero, Cecilia B. Barrios-Masias, Felipe H. Romero, Nina Nguyen, Andy Viet Riaz, Summaira Piccoli, Patricia Noemí McElrone, Andrew J. Walker, M. Andrew Vila, Hernan Felix Vid Tecnología Variedades Crecimiento Modelos Vegetales Grapevines Technology Varieties Growth Plant Models Vigour Vigor Mechanistic modeling constitutes a powerful tool to unravel complex biological phenomena. This study describes the construction of a mechanistic, dynamic model for grapevine plant growth and canopy biomass (vigor). To parametrize and validate the model, the progeny from a cross of Ramsey (Vitis champinii) × Riparia Gloire (V. riparia) was evaluated. Plants with different vigor were grown in a greenhouse during the summer of 2014 and 2015. One set of plants was grafted with Cabernet Sauvignon. Shoot growth rate (b), leaf area (LA), dry biomass, whole plant and root specific hydraulic conductance (kH and Lpr), stomatal conductance (gs), and water potential (Ψ) were measured. Partitioning indices and specific leaf area (SLA) were calculated. The model includes an empirical fit of a purported seasonal pattern of bioactive GAs based on published seasonal evolutionary levels and reference values. The model provided a good fit of the experimental data, with R = 0.85. Simulation of single trait variations defined the individual effect of each variable on vigor determination. The model predicts, with acceptable accuracy, the vigor of a young plant through the measurement of Lpr and SLA. The model also permits further understanding of the functional traits that govern vigor, and, ultimately, could be considered useful for growers, breeders and those studying climate change. EEA Mendoza Fil: Hugalde, Ines Pilar. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina. University of California at Davis. Department of Viticulture and Enology; Estados Unidos Fil: Agüero, Cecilia B. University of California at Davis. Department of Viticulture and Enology; Estados Unidos Fil: Barrios-Masias, Felipe H. University of California at Davis. Department of Viticulture and Enology; Estados Unidos. University of Nevada. Department of Agriculture, Veterinary and Rangeland Sciences; Estados Unidos Fil: Romero, Nina. University of California at Davis. Department of Viticulture and Enology; Estados Unidos Fil: Nguyen, Andy Viet. University of California at Davis. Department of Viticulture and Enology; Estados Unidos Fil: Riaz, Summaira. University of California at Davis. Department of Viticulture and Enology; Estados Unidos Fil: Piccoli, Patricia Noemí. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Biología Agrícola de Mendoza. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias. Instituto de Biología Agrícola de Mendoza; Argentina Fil: McElrone, Andrew J. University of California at Davis. Department of Viticulture and Enology; Estados Unidos. US Department of Agriculture. ARS; Estados Unidos Fil: Walker, M. Andrew. University of California at Davis. Department of Viticulture and Enology; Estados Unidos Fil: Vila, Hernan Felix. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina 2021-01-07T14:35:00Z 2021-01-07T14:35:00Z 2020-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/8572 https://www.sciencedirect.com/science/article/pii/S2405844020325512 2405-8440 https://doi.org/10.1016/j.heliyon.2020.e05708 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Elsevier Heliyon 6 (12) : e05708 (December 2020) |
| spellingShingle | Vid Tecnología Variedades Crecimiento Modelos Vegetales Grapevines Technology Varieties Growth Plant Models Vigour Vigor Hugalde, Ines Pilar Agüero, Cecilia B. Barrios-Masias, Felipe H. Romero, Nina Nguyen, Andy Viet Riaz, Summaira Piccoli, Patricia Noemí McElrone, Andrew J. Walker, M. Andrew Vila, Hernan Felix Modeling vegetative vigour in grapevine: unraveling underlying mechanisms |
| title | Modeling vegetative vigour in grapevine: unraveling underlying mechanisms |
| title_full | Modeling vegetative vigour in grapevine: unraveling underlying mechanisms |
| title_fullStr | Modeling vegetative vigour in grapevine: unraveling underlying mechanisms |
| title_full_unstemmed | Modeling vegetative vigour in grapevine: unraveling underlying mechanisms |
| title_short | Modeling vegetative vigour in grapevine: unraveling underlying mechanisms |
| title_sort | modeling vegetative vigour in grapevine unraveling underlying mechanisms |
| topic | Vid Tecnología Variedades Crecimiento Modelos Vegetales Grapevines Technology Varieties Growth Plant Models Vigour Vigor |
| url | http://hdl.handle.net/20.500.12123/8572 https://www.sciencedirect.com/science/article/pii/S2405844020325512 https://doi.org/10.1016/j.heliyon.2020.e05708 |
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