2 Results and Analysis
2. The relationship between yield and density and nitrogen fertilizer
Table 2 Quadratic Regression Orthogonal Rotational Combination Design Variance Analysis Table
variation
return
Degree of freedom
expect
F value
Significant
F0.05
F0.01
source
sum of square
Mean square
X1
703.75
1
703.75
0.25
<1
4.96
10.04
X2
20880.03
1
20880.03
7.51*
X1X2
14890.10
1
14890.10
5.35*
X11
16078.73
1
16078.73
5.78*
X22
168446.59
1
168446.59
60.58**
return
220999.20
5
44199.84
15.90**
3.33
5.64
Remaining
27806.86
10
2780.69
Misunderstood
8296.82
3
2765.61
0.99
4.35
8.45
error
19510.04
7
2787.15
Total variation
248806.06
15
As can be seen from Table 2, F1=0.99
Through calculation, the regression equation is obtained:
Y=1537.03+9.38X1-51.09X2-61.0lXlX2-44.83Xl2.-145.11X22
Regression coefficients for insignificant levels are eliminated from the equation to obtain the optimal regression equation:
Y=1537.03-51.09X2-61.01X1X2-44.83X12-145.11X22
By fixing another factor to a zero level, a regression equation for the factor and yield is obtained. The main effect regression equation of density:
Y1=l537.03+9.38X1-44.83Xl2
The main effect regression equation of nitrogen fertilizer:
Y2=1537.03-51.09X2-145.11X22
Table 3 Main Effect Analysis Table
project
-γ
-1
0
1
Gamma
X1
1434.11
1482.82
1537.03
1501.58
1460.63
X2
1319.07
1443.01
1537.03
1340.84
1174.57
From the above two main effects regression equations and Table 3, it can be seen that as the density increases, the seed production further increases, but the seed production decreases when the density approaches 1; the nitrogen fertilizer application has the effect of increasing production, with the use of nitrogen fertilizer. As a result of the increase, the seed production further increased, but when the density exceeded 0, the yield of seed production decreased, so the excess output of nitrogen decreased.
Table 4 Synthetic Analysis Table of X1 and X2
X2
X1
coding
Y average
S
CV(%)
-γ
-1
0
1
Gamma
Code-γ
1094.13
1178.58
1319.07
1369.90
1364.70
1265.28
123.02
9.72
-1
1253.80
1327.79
1443.01
1468.57
1452.90
1389.22
94.02
6.77
0
1434.11
1482.82
1537.03
1501.58
1460.63
1483.23
39.23
2.64
1
1324.19
1347.64
1340.84
1244.37
1178.16
1287.04
73.52
5.71
Gamma
1193.67
1206.65
1174.57
1052.84
976.15
1120.78
101.38
9.05
Y average
1259.98
1038.69
1362.91
1327.45
1286.51
S
128.83
122.01
136.58
183.27
207.47
CV(%)
10.22
9.32
10.02
13.81
16.13
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