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Results from Regional Algorithm Evaluation Study

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Presentation on theme: "Results from Regional Algorithm Evaluation Study"— Presentation transcript:

1 Results from Regional Algorithm Evaluation Study
Robert Mullen and Newell Kitchen August 6, 2009 4/23/2019 NUE Meeting

2 Overview Discussion on how work has been done Individual site data
SAS discussion Models currently used Individual site data Brief illustration of individual sites Algorithm performance across all sites Correlation information Other analysis performed 4/23/2019 NUE Meeting

3 Analytical Approach Everything is SAS based SAS parameters
Very intricate code that allows us to conduct all the analysis with actually touching the data SAS parameters Low stands are thrown out of the data set (<19,000 plants/acre) Inverse simple ratio (ISR) is computed from NDVI For some reason, certain sites have disagreement between NDVI and ISR 4/23/2019 NUE Meeting

4 Analytical Approach Currently using a quadratic plateau model to identify optimum N rates for each location Each algorithm is hard coded so that N recommendations can easily be compared to optimum N rates for each location 4/23/2019 NUE Meeting

5 By-Site Data Y = -0.0055x2 + 1.18x + 71.52 Joint = 107 Plat = 135
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6 By-Site Data Y = -0.0039x2 + 1.08x + 102.49 Joint = 137 Plat = 177
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7 By-Site Data Y = -0.0031x2 + 0.82x + 113.04 Joint = 133 Plat = 168
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8 By-Site Data Y = -0.012x2 + 1.80x + 140.98 Joint = 75 Plat = 209
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9 By-Site Data Y = -0.0097x2 +1.79x + 137.32 Joint = 92 Plat = 220
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10 By-Site Data Y = -0.020x2 + 1.10x + 216.75 Joint = 27 Plat = 232
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11 By-Site Data Y = -0.020x2 – 0.14x + 141.25 Joint = 0 Plat = 141
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12 By-Site Data Y = -0.0021x2 + 0.92x + 72.16 Joint = 180 Plat = 168
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13 By-Site Data Y = -0.00x2 + 0.29x + 143.97 Joint = 180 Plat = 196
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14 By-Site Data Y = -0.0027x2 + 1.12x + 82.21 Joint = 180 Plat = 195
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15 By-Site Data Y = -0.0021x2 + 0.47x + 202.90 Joint = 109 Plat = 228
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16 By-Site Data Y = -0.020x2 + 1.17x + 79.15 Joint = 29 Plat = 96
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17 By-Site Data Y = -0.020x2 + 0.83x + 135.80 Joint = 21 Plat = 145
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18 By-Site Data Y = -0.020x2 + 0.80x + 199.87 Joint = 20 Plat = 208
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19 By-Site Data Y = -0.0035x2 + 1.04x + 132.45 Joint = 147 Plat = 209
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20 By-Site Data Y = -0.0048x2 + 1.12x + 156.95 Joint = 117 Plat = 222
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21 By-Site Data Y = -0.020x2 + 0.74x + 100.23 Joint = 18 Plat = 107
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22 By-Site Data Y = -0.0017x2 + 0.66x + 118.93 Joint = 180 Plat = 183
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23 By-Site Data Y = -0.0032x2 + 0.52x + 143.00 Joint = 81 Plat = 164
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24 By-Site Data Y = -0.020x2 – 1.01x + 194.76 Joint = 0 Plat = 195
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25 By-Site Data Y = -0.0037x2 + 1.01x + 115.19 Joint = 137 Plat = 185
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26 By-Site Data Y = -0.020x2 + 0.97x + 150.40 Joint = 24 Plat = 162
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27 By-Site Data Y = -0.020x2 - 0.16x + 147.53 Joint = 0 Plat = 148
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28 By-Site Data Y = -0.0034x2 + 0.66x + 110.87 Joint = 97 Plat = 143
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29 By-Site Data Y = -0.0043x2 + 1.45x + 68.74 Joint = 171 Plat = 193
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30 By-Site Data Y = -0.00078x2 + 0.78x + 69.29 Joint = 180 Plat = 184
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31 By-Site Data Y = -0.0011x2 + 0.35x + 110.53 Joint = 166 Plat = 140
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32 By-Site Data Y = -0.0062x2 + 1.14x + 127.34 Joint = 93 Plat = 180
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33 By-Site Data Y = -0.0021x2 + 0.63x + 117.28 Joint = 154 Plat = 166
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34 By-Site Data Y = -0.00046x2 + 0.48x + 42.11 Joint = 180 Plat = 114
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35 Algorithm Performance
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36 Algorithm Performance
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37 Algorithm Performance
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38 Algorithm Performance
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39 Algorithm Performance
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40 Algorithm Performance
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41 Algorithm Performance
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42 Algorithm Performance
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43 Algorithm Performance
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44 Algorithm Performance
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45 Algorithm Performance
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46 Algorithm Performance
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47 Algorithm Performance
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48 Algorithm Performance
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49 Additional Analysis Y = -0.014x2 + 3.01x + 5.81 r2 = 0.75 Joint = 107
Plat = 167 4/23/2019 NUE Meeting

50 Thanks!!! Questions? 4/23/2019 NUE Meeting

51 Change in Nitrogen Need by Year
Data from NW Ohio – corn after beans Year Opt. N Yield 1998 187 239 1999 160 184 2000a 170 157 2000b 149 153 2001 233 189 2002 169 89 2003 218 237 2004 162 193 2005 175 204 Avg 181 4/23/2019 NUE Meeting


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