Modelling crop yield and harvest index: the role of carbon assimilation and allocation parameters

作者：Hector Camargo‐Alvarez, Robert Elliott, Stefan Olin, Xuhui Wang, Chenzhi Wang, D. K. Ray, Thomas A. M. Pugh · 发表于：Modeling Earth Systems and Environment · 年份：2022 · DOI：10.1007/s40808-022-01625-x · 被引用次数：15 · 研究领域：Crop Yield and Soil Fertility、Climate change impacts on agriculture、Plant responses to elevated CO2

Abstract Crop yield improvement during the last decades has relied on increasing the ratio of the economic organ to the total aboveground biomass, known as the harvest index (HI). In most crop models, HI is set as a parameter; this empirical approach does not consider that HI not only depends on plant genotype, but is also affected by the environment. An alternative is to simulate allocation mechanistically, as in the LPJ-GUESS crop model, which simulates HI based on daily growing conditions and the crop development stage. Simulated HI is critical for agricultural research due to its economic importance, but it also can validate the robust representation of production processes. However, there is a challenge to constrain parameter values globally for the allocation processes. Therefore, this paper aims to evaluate the sensitivity of yield and HI of wheat and maize simulated with LPJ-GUESS to eight production allocation-related parameters and identify the most suitable parameter values for global simulations. The nitrogen demand reduction after anthesis, the minimum leaf carbon to nitrogen ratio (C:N) and the range of leaf C:N strongly affected carbon assimilation and yield, while the retranslocation of labile stem carbon to grains and the retranslocation rate of nitrogen and carbon from vegetative organs to grains after anthesis mainly influenced HI. A global database of observed HI for both crops was compiled for reference to constrain simulations before calibrating paramete...