Partitioning of seasonal above‐ground biomass of four vineyard-grown varieties: Development of a modelling framework to infer temperature-rate response functions

摘要: Abstract Forecasting the biomass allocation among source and sinks organs is crucial to better understand how grapevines control distribution of acquired resources has a great meaning in term making decisions about agricultural practices vineyards. Modelling plant growth development one prediction approaches that play this role when it concerns rates response variation environmental conditions. This study was aimed model dynamics current year’s above‐ground grapevine. Furthermore, relatively simple modelling framework at derivation cardinal air temperatures for Trials were carried out over three growing seasons field conditions with four grapevine cultivars. To compare differences growth-allocation models cultivars, non-linear extra-sums-of-squares method used. Using measurements mean daily temperature dry mass increments beta-function fitted data used estimate temperatures. Shoot differed significantly The application procedure demonstrated be feasible way comparison statistically assess significant results highlight parameters most involved phenotypic variability shoot growth. Variations cultivars result from genetic factors. Results do not support use common coefficient estimates all within specific location. functions obtained, confirm initial working hypothesis because varieties may have either different optima or thresholds unifying cannot achieved. These suggest some caution should taken incorporating partitioning coefficients model. Use dynamic approaches, fact, poor representation early late during course season. described approach can account complex seasonal patterns provides insight into well cultivar matched particular site.