Publication | Open Access
Discrepancy between the crop yield goal rate and the optimum nitrogen rates for maize production in Mississippi
23
Citations
21
References
2022
Year
EngineeringLand UseCropping SystemAgricultural EconomicsOptimum Nitrogen RatesYield PredictionSustainable AgricultureBiostatisticsPublic HealthMississippi CornAgricultural ProductivityCrop ProductionCrop YieldCrop Growth ModelingField CropN SupplyAgricultural ModelingNatural Resource ManagementFarming SystemsNatural Resource EconomicsMaize ProductionCyg Rate
Abstract The varying influence of the environment on N supply and demand dictates the need for annually updated fertilizer N recommendations. Currently, crop yield goal (CYG) methods are used by 34 land grant universities, including Mississippi State University, these do not consider environmental variations. This research tested the efficacy of CYG by determining the agronomic optimum N rate (AONR) and the economic optimum N rate for Mississippi corn ( Zea mays L.) production. In total, 12 treatments in 2020 and 11 in 2021 were replicated four times over four locations in a randomized complete block design. The optimum N rates were calculated by fitting linear, quadratic, linear plateau, and quadratic plateau models by means of three different goodness of fit measures. Furthermore, differences between the CYG rate calculated from the Mississippi yield goal equation and AONR were compared at different management levels (14 comparisons) (all data combined, both years combined, sites combined by year, and individual sites). Overall, AONR varied from 134 to 301 kg N ha –1 at different management levels . When we compared the AONR to the CYG rate, the CYG rate over‐recommended N in 12 of the 14 possible comparisons, with differences ranging from 69 kg N ha –1 less to 110 kg N ha –1 greater than the AONR. These differences between AONR values highlight variability caused by factors such as the soil, environment, and their interaction with N supply and demand, which are unaccounted for by the CYG method.
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