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ARS Home » Pacific West Area » Davis, California » Crops Pathology and Genetics Research » Research » Publications at this Location » Publication #365510
Research Project: Sustainable Vineyard Production Systems

Location: Crops Pathology and Genetics Research

Title: Modeling vegetative vigour in grapevine: Unraveling implicated mechanisms

Author
item HUGALDE, INES - National Institute Of Agropecuarian Technology (INTA)
item AGUERO, CECILIA - University Of California, Davis
item BARRIOS-MASIAS, FELIPE - University Of Nevada
item ROMERO, NINA - University Of California, Davis
item NGUYEN, ANDY - University Of California, Davis
item RIAZ, SUMMAIRA - University Of California, Davis
item PICCOLI, PATRICIA - Cuyo University
item McElrone, Andrew
item WALKER, M. ANDY - University Of California, Davis
item VILA, HERNAN - National Institute Of Agropecuarian Technology (INTA)

Submitted to: Heliyon
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 11/9/2020
Publication Date: 12/22/2020
Citation: Hugalde, I., Aguero, C.B., Barrios-Masias, F., Romero, N., Nguyen, A.V., Riaz, S., Piccoli, P., Mcelrone, A.J., Walker, M., Vila, H. 2020. Modeling vegetative vigour in grapevine: Unraveling implicated mechanisms. Heliyon. 6(12). Article e05708. https://doi.org/10.1016/j.heliyon.2020.e05708.
DOI: https://doi.org/10.1016/j.heliyon.2020.e05708

Interpretive Summary: No summary.

Technical Abstract: Mechanistic modeling constitutes a powerful tool to unravel complex biological phenomena. Our study describes the construction of a mechanistic, dynamic model for vigor as the result of the interaction of environment (soil and atmosphere) and plant physiology. To validate the model, 50 progeny from a cross of Ramsey (Vitis champinii) x Riparia Gloire (V. riparia) were evaluated. Plants with different vigor were grown in a greenhouse during summer of 2014 and 2015, pruned to a single shoot, and watered daily. Shoot growth rate (b), leaf area (LA), dry biomass, whole plant and root specific hydraulic conductance (Kh and Lpr), stomatal conductance (gs), water potential (') and photosynthesis (A) were measured. Partitioning indices and specific leaf area (SLA) were calculated. The model includes an empirical fit of a hypothesized seasonal pattern of gibberellins based on published seasonal patterns and reference values. Validation regression resulted in R=0.87 between predicted and observed data. MSPE= 4.7%, mean bias/MSPE=0.89, line bias/MSPE=0.003, and random variation/MSPE=0.10. Simulation of single variable variations defined the individual effect of each variable on vigor determination. Future hormone measurements will further refine the model. The model can predict, with acceptable accuracy, the vigor of a plant through the measurement of Lpr and SLA in young plants.