Definitions and determination of crop yield, yield gaps, and of rates of change

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Genetic Progress in Grain Yield and Physiological Traits in Chinese Wheat Cultivars of Southern Yellow and Huai Valley since 1950 (2017, methodology): “…intercept of equations was estimated by a, while slope b measured absolute grain yield gains [1] and u represents the residual error; y is relative rates of yield gain (% yr−1), and GY2011–2012 is the averaged grain yield of cultivars released in 2011 to 2012 (Grassini et al., 2013; Fischer, 2015).”
Machine learning for large-scale crop yield forecasting (2020, background): “Crop yield is influenced by many crop-specific parameters, environmental conditions and management decisions (Fischer 2015), and it is difficult to build a reliable and explainable prediction model.”