Modeling vegetative vigour in grapevine: unraveling underlying mechanisms

Autores
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
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Fuente
Heliyon 6 (12) : e05708 (December 2020)
Materia
Vid
Tecnología
Variedades
Crecimiento
Modelos Vegetales
Grapevines
Technology
Varieties
Growth
Plant Models
Vigour
Vigor
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/8572
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oai_identifier_str oai:localhost:20.500.12123/8572
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spelling Modeling vegetative vigour in grapevine: unraveling underlying mechanismsHugalde, Ines PilarAgüero, Cecilia B.Barrios-Masias, Felipe H.Romero, NinaNguyen, Andy VietRiaz, SummairaPiccoli, Patricia NoemíMcElrone, Andrew J.Walker, M. AndrewVila, Hernan FelixVidTecnologíaVariedadesCrecimientoModelos VegetalesGrapevinesTechnologyVarietiesGrowthPlant ModelsVigourVigorMechanistic 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 MendozaFil: 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 UnidosFil: Agüero, Cecilia B. University of California at Davis. Department of Viticulture and Enology; Estados UnidosFil: 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 UnidosFil: Romero, Nina. University of California at Davis. Department of Viticulture and Enology; Estados UnidosFil: Nguyen, Andy Viet. University of California at Davis. Department of Viticulture and Enology; Estados UnidosFil: Riaz, Summaira. University of California at Davis. Department of Viticulture and Enology; Estados UnidosFil: 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; ArgentinaFil: McElrone, Andrew J. University of California at Davis. Department of Viticulture and Enology; Estados Unidos. US Department of Agriculture. ARS; Estados UnidosFil: Walker, M. Andrew. University of California at Davis. Department of Viticulture and Enology; Estados UnidosFil: Vila, Hernan Felix. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; ArgentinaElsevier2021-01-07T14:35:00Z2021-01-07T14:35:00Z2020-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/8572https://www.sciencedirect.com/science/article/pii/S24058440203255122405-8440https://doi.org/10.1016/j.heliyon.2020.e05708Heliyon 6 (12) : e05708 (December 2020)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-11-06T09:40:39Zoai:localhost:20.500.12123/8572instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-11-06 09:40:39.36INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Modeling vegetative vigour in grapevine: unraveling underlying mechanisms
title Modeling vegetative vigour in grapevine: unraveling underlying mechanisms
spellingShingle Modeling vegetative vigour in grapevine: unraveling underlying mechanisms
Hugalde, Ines Pilar
Vid
Tecnología
Variedades
Crecimiento
Modelos Vegetales
Grapevines
Technology
Varieties
Growth
Plant Models
Vigour
Vigor
title_short 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_sort Modeling vegetative vigour in grapevine: unraveling underlying mechanisms
dc.creator.none.fl_str_mv 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 Hugalde, Ines Pilar
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_role author
author2 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
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Vid
Tecnología
Variedades
Crecimiento
Modelos Vegetales
Grapevines
Technology
Varieties
Growth
Plant Models
Vigour
Vigor
topic Vid
Tecnología
Variedades
Crecimiento
Modelos Vegetales
Grapevines
Technology
Varieties
Growth
Plant Models
Vigour
Vigor
dc.description.none.fl_txt_mv 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
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.
publishDate 2020
dc.date.none.fl_str_mv 2020-12
2021-01-07T14:35:00Z
2021-01-07T14:35:00Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 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
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
identifier_str_mv 2405-8440
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv 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)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Heliyon 6 (12) : e05708 (December 2020)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 13.084122

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