Quantification of environmental and management effects on the yield of late-sown soybean

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Predicting on-farm soybean yields in the pampas using CROPGRO-soybean (2007, methodology): “However, the performance of the CROPGRO-soybean model proved to be successful in 155 paddocks conducted under standard farm practices and contrasting environmental conditions in the Argentine Pampas.”
Mapping the global depth to bedrock for land surface modeling (2017, methodology): “Information on DTB is useful for mineral exploration [Wilford et al., 2016] and crop yield modelling [Calvi~no et al., 2003].”
Physiological Determinants of Crop Growth and Yield in Maize, Sunflower and Soybean (2005, background): “Increases in plant density and decreases in row spacing are recommended management practices to compensate for low percent radiation inter- ception during reproductive growth in soybean (Calviño et al., 2003a; 2003b).”