Spatial and temporal variation in economically optimum nitrogen rate for corn

By M. Mamo, G. Malzer, D. Mulla, David R. Huggins, J. Strock. 2003

226 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Environmental Chemistry

View Paper: https://www.semanticscholar.org/paper/8c9ea962d8a39f513915dcc2f751255f0a409222

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Citations in the corpus

Aerial Color Infrared Photography for Determining Early In‐Season Nitrogen Requirements in Corn (2005, background): “ROP N REQUIREMENTS in general and corn N requirements in particular change from year to year, from field to field, and within fields ( Mamo et al., 2003 ).”
Site-specific production functions for variable rate corn nitrogen fertilization (2006, background): “The EONR for corn has also been shown to be very different between fields and highly variable within fields (Mamo et al. 2003; Anselin et al. 2004; Scharf et al. 2005).”
Evaluating Management Zone Optimal Nitrogen Rates with a Crop Growth Model (2006, methodology): “An alternative approach is to use N-rate strips, including a zero-N treatment, traversing a field to quantify N responses across different soil and landscape conditions and determine appropriate precision N management strategies in different MZs (Pierce and Nowak, 1999; Mamo et al., 2003; Hurley et ”
Active Sensor Reflectance Measurements of Corn Nitrogen Status and Yield Potential (2008, background): “…and Johnson, 1999; Cassman et al., 2002), (ii) fi eld uniform N applications to spatially variable landscapes having spatially variable crop N need (Mamo et al., 2003; Scharf et al., 2005), and (iii) failure to account for temporal variability and the infl uence of weather on mid-season N needs…”
Spatially variable corn yield is a weak predictor of optimal nitrogen rate (2006, result): “This contrasts with recent research that has shown that the amount of N needed often varies widely within individual corn fields (Davis et al., 1996; Blackmer and White, 1998; Mamo et al., 2003; Schmidt et al., 2002; Scharf et al., 2005).”
Chlorophyll meter readings can predict nitrogen need and yield response of corn in the north-central USA (2006, background): “Previous research has shown that optimal N fertilizer rates vary widely from field to field (Bundy and Andraski, 1995; Cerrato and Blackmer, 1991; Schmitt and Randall, 1994) as well as within fields ( Mamo et al., 2003; Schmidt et al., 2002; Scharf et al., 2005).”
Economic Analysis of Spatial-Temporal Patterns in Corn and Soybean Response to Nitrogen and Phosphorus (2006, methodology): “If crop inputs are applied uniformly across a field where plant, soil, and input interactions are variable, the field will be underfertilized in some areas and overfertilized in others (Mamo et al., 2003).”
Sensor‐Based Nitrogen Applications Out‐Performed Producer‐Chosen Rates for Corn in On‐Farm Demonstrations (2011, background): “Economically optimal nitrogen fertilizer rate (EONR) for corn and other crops can vary substantially within fi elds (Schmidt et al., 2002; Mamo et al., 2003; Scharf et al., 2005; Kitchen et al., 2010) and among fi elds (Schmitt and Randall, 1994; Bundy and Andraski, 1995).”
Within‐Field Variation in Corn Yield and Grain Quality Responses to Nitrogen Fertilization and Hybrid Selection (2006, background): “Corn yield response to N has been found to vary spatially within a field (Malzer et al., 1996; Schmidt et al., 2002; Mamo et al., 2003; Katsvairo et al., 2003) due to variations in”
Precision Agriculture Technologies positively contributing to GHG emissions mitigation, farm productivity and economics (2017, unknown): “(2003) [68] executed an experiment for three years (1995, 1997, 1999) in corn fields in rotation with sybean in Minnesota, USA and found a profit increase of 7 to 20.”