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Industry-oriented research innovations during the past decades have significantly contributed to the productivity, profitability and sustainability of pastoral industries. Key examples of these innovation efforts include (1) sensor, IoT and machine learning technologies facilitating automation of data collection, data integration and model simulation towards digital decision tools for farmers, and (2) simulating the consequences of changed environment and/or management practices on rangeland and pastoral systems through integrating biological, physical and digital properties and processes across leaf, whole-plant and paddock levels. However, there are fundamental physiological processes which are not well reproduced by models, partly due to the challenge of bridging the advancement of cross-disciplinary knowledge. This paper reviewed recent experiment-modelling-integration efforts towards the accurate model representation on light-response of photosynthesis, in particular: the performances of two models – the most widely used non-rectangular hyperbolic model (NH model) and a more recently developed mechanistic and nonasymptotic model (Ye model) – in reproducing plant photosynthetic light response across light-limited, light-saturated and photoinhibitory light intensity levels. The accuracy of Ye model, and its consistency of model framework, in reproducing the light responses of concurrent photosynthetic functions (i.e., photosynthesis, electron transport rate, stomatal conductance and water use efficiency), make it ideal to be adopted by the current and future experiment-modelling-integration efforts on global rangeland, pastoral and/or broadacre production systems.