R325 - Effect of Different Rate of Azotobacter ... - Agrisciences.com

Chapter IV
RESULTS AND DISCUSSIONS
In this Chapter the corresponding Statistical Analysis is presented, expressed in tables, figures referred to averages,
as well as the Economic Analysis corresponding to each treatment.
Blocks
Table 6. Yield in kilograms for harvested area (4.80 m 2 ) for the factorial 3a x 3b + control
Total
A 0 A 1 A 2
of
b 0 B 1 b 2 b 0 b 1 b 2 b 0 b 1 b 2 Blocks Control
Total of
blocks
+
control
I 10.40 12.80 8.40 11.84 22.40 11.20 12.80 9.20 12.80 101.84 9.40 111.240
II 9.44 9.60 12.28 8.72 11.60 13.60 12.00 12.80 13.60 103.64 8.00 111.640
III 11.60 10.00 11.60 12.00 12.00 13.20 l0.80 11.20 9.40 101.80 8.224 110.024
IV 9.20 9.20 9.80 11.04 10.80 12.00 10.00 12.80 12.40 97.24 7.200 104.440
AB 40.64 41.60 42.08 43.60 46.80 50.00 45.60 46.00 48.20 404.52 32.824 437.344
A A 0 = 224.32 A 1 = 140.40 a 2 = A 2 = 139.80 404.52 437.344
B b 0 = 129.84 b 1 = 134.40 b 2 = b 2 = 140.28 404.52 437.344
Table 7. Analysis of Variance (ANVA) for the treatments of the factorial 3A x 3B with 1 control
F
F.V. G.L. S.C. C. M. Fc 0.05 0.01
Blocks 3 3.3377 1.1126 0.54 NS 2.96 4.60
Treatments 9 53.2833 5.9204 2.88* 2.25 3.14
Treat. Vs. Control 1 33.0658 33.0658 16.11** 4.21 7.68
Factorial 3Ax3B 8 20.2176 2.5272 1.23 NS 2.30 3.26
Azotobacter (A) 2 13.8488 6.9244 3.37* 3.35 5.49
Fun. lineal 1 9.9846 9.9846 4.86* 4.21 7.68
Fun. cuadrát. 1 3.8642 3.8642 1.88 NS 4.21 7.68
Agrispon (B) 2 4.5656 2.2828 1.11 NS 3.35 5.49
Fun. Lineal 1 4.5414 4.5414 0.21 NS 4.21 7.68
Fun. cuadrát. 1 0.0242 0.0242 0.01 NS 4.21 7.68
A x B 4 1.8032 0.4508 0.22 NS 2.73 4.11
A L B L 1 0.0012 0.0012 0.001 NS 4.21 7.68
A L B Q 1 0.0067 0.0067 0.003 NS 4.21 7.68
A Q B L 1 0.1064 0.1064 0.05 NS 4.21 7.68
A Q B Q 1 0.0123 0.0123 0.005 NS 4.21 7.68
Error 27 2.0521
Total 39 112.0274
C. V. = 13.10 %
As can be seen, the Coefficient of Variability is inside the ranges specified for investigational works in the field.
In the Analysis of Variance (Table 7) we find that statistical significance doesn't exist between blocks probably not
to factors, specified (illegible text).
For the Agrispon treatments, statistical significance doesn't exist. Nevertheless, when observing the square means
of the components, it is noticed that the applications have a lineal tendency that is to say that the yields increase as
the applications of the biostimulant increases. Although it is necessary to notice that these increases are in a very
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