Because concern was being expressed by some dealers, advisors, and farmers regarding the relevance of yield responses from small-plot studies, 15 field-size strip studies were conducted in five counties in southern Minnesota from 1997-2001. All sites were chosen by the farmer in conjunction with either local crop advisors, dealers, or state agency personnel. Site characteristics, method and time of N application, and N source used are shown in Table 2. The concentration of sites in Nicollet Co. was due to increasing nitrate concerns within the St. Peter Wellhead area and the presence of a multi-agency project to examine N use for corn in that area. Spring or sidedress application was used at 10 sites and fall anhydrous ammonia plus N-Serve was used at 4 sites. Fertilizer N was applied by the dealer or farmer in strips matching the applicator width (30 to 60'). Strip length ranged from about 400' to more than 1200'. All fertilizer N rates were replicated three times except for the two earliest sites (AA and BB) where only two replications were used. In addition, no zero N (0 lb N/A) strips were included at sites AA and BB and only one control strip was included at sites GG and KK. Because of these limitations, no statistical analyses were performed for these sites.
At each field-strip site, tillage, planting, pesticide application, and hybrid and planting rate selection were all conducted by the farmers. The strips were combine-harvested using yield monitors. All yield data were collected by the farmer and/or consultant. The strip-average yields were then provided to the authors of this publication for statistical and economic analyses. Statistical analysis to determine the least significant difference (LSD) at the 90% probability level was conducted on yield data from all sites that had three or more control (0 lb N/A) plots/strips. Analysis to determine the economic optimum N rate (EONR) was performed on the yield data from all sites except I (only 4 N rates), AA, and BB. Based on a N price of $0.15/lb and a corn price of $2.00/bu, linear response plateau (LRP) and quadratic response plateau (QRP) models were used to calculate the EONR for each of the 26 sites. Results and Discussion Small Plot Studies Corn yields for each of the N rates at all 14 sites are shown in Table 3. The optimum N rate for each site was determined using three statistical methods also shown in Table 3. The LSD value gives the smallest yield difference among treatments that is statistically significant at the 90% probability level. The optimum yield using the LSD is shown in bold print for each site. A response to fertilizer N was not obtained at two sites (A and J) even though yields at these sites ranged between 150 and 180 bu/A. This can be explained by the release of N from the soil organic matter. Greater availability of soil N usually occurs following dry years and long-term applications of N (fertilizer and/or manure) in excess of crop removal. Using the LSD approach corn yields were optimized at the 30-lb N rate at 1 site (L), at the 60-lb N rate at 4 sites (C, D, H, and K), at the 90-lb N rate at 5 sites, at the 120-lb rate at 1 site (F), and at the 150-lb rate at 1 site (E). Averaged across all 14 sites, the optimum N rate, using the LSD approach, was 71 lb N/A (82 lb N/A if using only the 12 responding sites) to produce a yield of 169 bu/A. The EONR averaged across all 12 sites that fit the LRP model was 71 lb N/A but ranged from 0 to 107 lb N/A. The QRP model fit 13 sites giving an average EONR of 85 lb N/A with a range from 0 to 140 lb N/A.
1/ EONR = Economic Optimum N Rate based on 15¢/lb N and $2.00/bu corn. The yields were averaged across the 13 sites for each of the N rates and are plotted in Fig. 1. The EONR using the QRP model for this 13-site average is 105 lb N/A, which gave a yield of 173 bu/A. This 19-lb increase over the average of the EONR's in Table 3 is largely due to the two non-responding sites and the omission of the 30-lb N rate in calculations based on Fig. 1.
These data clearly show the variability encountered among site-years when determining an optimum N rate for corn. University scientists assess this variability and consider it in when making fertilizer N recommendations. Usually the recommendations tend to be slightly greater than a very strict mathematical interpretation of the response data would suggest. This slight cushion protects the farmer from risk of yield and profitability loss under unforeseen conditions. In this case, a N recommendation of 120 lb N/A was more than needed for optimum yields at 13 of 14 sites when using the LSD approach, at all 13 sites when using the LRP approach, and at 10 of 13 sites when using the more liberal QRP approach. Based on these yield responses to N in small-plot studies, the 120-lb N rate, presently being recommended by the University of Minnesota for expected corn yields of 150 to 174 bu/A on these soils, was sufficient to optimize yield and profitability at 13 of 14 sites. Moreover, this rate of N could be considered excessive at one-half of the sites where a yield response to N did not occur at rates greater than 60 lb N/A. Field-size strip studies Corn yields for each of the 15 field-size strip studies are shown in Table 4. Least significant differences were calculated for 11 of the sites while EONR's were calculated for the 13 sites with 0-lb control plots. All 13 sites responded to fertilizer N. The yield shown in bold type for each site represents the N rate that optimized corn yield using the LSD approach. Yields were optimized at the 60-lb N rate at 3 sites, at the 90-lb rate at 6 sites, and at the 120-lb rate at 2 sites. Averaging these optimum N rates and associated yields across all 11 sites resulted in an optimum N rate of 87 lb/A and an average yield of 150 bu/A.
1/ EONR = Economic Optimum N Rate based on 15¢/ lb N and $2.00/bu corn. 2/ Only two replications, no statistical analysis conducted. Actual N rates used shown by superscript numbers. 3/ The 0-lb control strip was not replicated at these sites. Thus, a statistical analysis to determine the LSD was not conducted.
The EONR for the 13 sites using the LRP method ranged from 50 to 137 lb N/A with an average of 84 lb N/A. Twelve of the 13 sites had EONR's less than 120 lb N/A. When using the more liberal QRP method, EONR's ranged from 55 to 169 lb N/A and averaged 100 lb N/A for the 13 sites. Eleven of the 13 sites had EONR's less than 120 lb N/A. When the yields were averaged across the 13 sites for each N rate (Fig. 1), the EONR using the QRP method for this 13-site average was 99 lb N/A, which gave a yield of 152 bu/A. Similar to the small-plot studies, these field-size experiments also demonstrate the site-to-site variability associated with arriving at an optimum N rate for corn. But in the aggregate, a 120-lb N rate was sufficient to optimize corn yield at all sites, when using the LSD approach. Using the LRP and QRP approaches, the 120-lb N rate was sufficient to optimize economic return at 12 of 13 sites and 11 of 13 sites, respectively. Small-plot vs Field-size strip studies Although the experimental procedures used were much different for these two types of field studies, the yield responses to fertilizer N were remarkably similar between the small-plot and field-size strips (Fig. 1). When averaged across all sites, the QRP derived EONR's for the small plots and field-size strips were 105 and 99 lb N/A, respectively. These results suggest that fertilizer N rate recommendations are equally good, regardless whether the yield response data come from small plot or field-size strip studies. Acknowledgement The authors extend grateful appreciation to the Minnesota Corn Research and Promotion Council and to the St. Peter Wellhead Protection Project for their financial assistance in the conduct of this project. Sincere thanks is given to the many farmer-cooperators who participated in the project and to the consultants/local advisors (Blue Earth Agronomics - Karyn Wassman, GMA Agronomics - Kevin Bitterman, McPherson Crop Management - Bernie Paulson, and United AgTech - Steve Sodeman) whose collection of field strip data was vital to this project. We also greatly appreciate the technical assistance provided by Jeff Vetsch, Andy Scobbie, Brian Anderson, and David Groh in the collection and analyses of the data.
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