2010
DOI: 10.1016/j.agsy.2010.02.004
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The yield gap of global grain production: A spatial analysis

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Cited by 481 publications
(332 citation statements)
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References 67 publications
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“…The common 0.5°pixels classified by their dominant land cover are insufficient and can be replaced by units with a higher resolution. Many global studies now aim at a 5 arcminute (*10 9 10 km) spatial resolution consistent with many recent datasets (Monfreda et al 2008;Licker et al 2010;Neumann et al 2010;. This higher resolution leads to a much better representation of the variation in land cover and especially to a better representation of the smaller land cover types that are hardly ever dominant at the 0.5 degree resolution.…”
Section: Ways Forwardmentioning
confidence: 99%
“…The common 0.5°pixels classified by their dominant land cover are insufficient and can be replaced by units with a higher resolution. Many global studies now aim at a 5 arcminute (*10 9 10 km) spatial resolution consistent with many recent datasets (Monfreda et al 2008;Licker et al 2010;Neumann et al 2010;. This higher resolution leads to a much better representation of the variation in land cover and especially to a better representation of the smaller land cover types that are hardly ever dominant at the 0.5 degree resolution.…”
Section: Ways Forwardmentioning
confidence: 99%
“…The best places to improve crop yields may be on underperforming landscapes, where yields are currently below average. Recent analyses 57,58 have found large yield variations across the world, even among regions with similar growing conditions, suggesting the existence of 'yield gaps' (Supplementary Fig. 4a).…”
Section: Close Yield Gapsmentioning
confidence: 99%
“…There have been many quantitative analyses of yield gaps (3,5,7,9,10), with an emerging consensus in their determination. As an indicator of the prospects for potential productivity increases, a potential yield gap can be established between actual farm yield (Y) and potential yield (Y p ) (Fig.…”
mentioning
confidence: 99%