Financial constraints commonly limit fertilizer use by smallholder farmers as they strive to maximize net returns on their investments. Fifteen crop–nutrient response functions, including six crops, were derived from the results of 80 trials conducted in Uganda. The net return to nutrient application for typical fertilizer use costs and grain prices in Uganda was greatest for a small amount of N applied to dry bean (Phaseolus vulgaris L.), followed by N applied to rice (Oryza spp.), P applied to groundnut (Arachis hypogaea L.) and soybean [Glycine max (L.) Merr.], and then N applied to maize (Zea mays L.) and grain sorghum [Sorghum bicolor (L.) Moench]. Net returns were less for the remaining nine response functions. The Uganda Fertilizer Optimization Tool was developed for Uganda to maximize net returns to fertilizer use for finance‐limited crop management. It considers the area of each crop to be planted, fertilizer costs, expected grain value, and the money available for investment. The tool optimizes across response functions to provide the crop–nutrient–rate combinations expected to maximize net returns. In an example with 1 ha each of the above six crops and US$170 available for fertilizer use, the optimized net return was US$1918 compared with US$676 and US$804 for US$170 of fertilizer applied to maize and rice, respectively, at rates to maximize net returns per hectare. This approach to fertilizer use of maximizing net returns on investment can gradually enable much increased fertilizer use because of the relatively high returns on investment compared with traditional fertilizer use recommendations.

Sincere appreciation goes to the panel members for their participation in the UNL 2020 Nebraska Farm Real Estate Market Survey. Without their valuable input, much of the information within this report would not exist. Special appreciation also goes to Dr. Bruce Johnson who conducted the UNL Nebraska Farm Real Estate Developments Survey from 1978 until his retirement in 2013. His advice and insight have been critical to the success of the survey and report. Recognition is also extended to Linda Tesch, Mary Jarvi, and Ryan Evans for their significant contributions throughout the survey, report analysis, and publication process.

Sincere appreciation goes to the panel members for their participation in the UNL 2019 Nebraska Farm Real Estate Market Survey. Without their valuable input, much of the information within this report would not exist. Special appreciation also goes to Dr. Bruce Johnson who conducted the UNL Nebraska Farm Real Estate Developments Survey from 1978 until his retirement in 2013. His advice and insight have been critical to the success of the survey and report. Recognition is also extended to Linda Tesch, Maddy Griep, and Sandy Sterkel for their significant contributions throughout the survey, report analysis, and publication process.

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