Adapt‐N Outperforms Grower‐Selected Nitrogen Rates in Northeast and Midwestern United States Strip Trialsстатья из журнала
Аннотация: Maize ( Zea mays L.) production accounts for the largest share of crop land area in the United States and is the largest consumer of nitrogen (N) fertilizers. Routine application of N fertilizer in excess of crop demand has led to well‐documented environmental problems and social costs. Current N rate recommendation tools are highly generalized over space and time and therefore do not allow for precision N management through adaptive and site‐specific approaches. Adapt‐N is a computational tool that combines soil, crop, and management information with near–real‐time weather data to estimate optimum N application rates for maize. We evaluated this precision nutrient management tool during four growing seasons (2011 through 2014) with 113 on‐farm strip trials in Iowa and New York. Each trial included yield results from replicated field‐scale plots involving two sidedress N rate treatments: Adapt‐N–estimated and grower‐selected (conventional). Adapt‐N rates were on average 53 and 31 kg ha −1 lower than Grower rates for New York and Iowa, respectively (−34% overall), with no statistically significant difference in yields. On average, Adapt‐N rates increased grower profits by $65 ha −1 and reduced simulated environmental N losses by 28 kg ha −1 (38%). Profits from Adapt‐N rates were noticeably higher under wet early‐season conditions when higher N rate recommendations than the Grower rates prevented yield losses from N deficiencies. In conclusion, Adapt‐N recommendations resulted in both increased grower profits and decreased environmental N losses by accounting for variable site and weather conditions. Core Ideas A dynamic, process‐based, high‐resolution N management tool is presented. The tool's adaptive nutrient management reduces applied N and increases profit compared with Grower practice. Site‐specific N recommendations reduce environmental losses. Compelling use of cloud computing technology can increase adoption of the tool by growers.
Год издания: 2016
Авторы: Shai Sela, Harold M. van Es, Bianca N. Moebius‐Clune, Rebecca D. Marjerison, Jeff Melkonian, Daniel J. Moebius-Clune, Robert R. Schindelbeck, Simone Damasceno Gomes
Издательство: Wiley
Источник: Agronomy Journal
Ключевые слова: Crop Yield and Soil Fertility, Plant nutrient uptake and metabolism, Soil Carbon and Nitrogen Dynamics
Открытый доступ: hybrid
Том: 108
Выпуск: 4
Страницы: 1726–1734