Estimation of Chemical Composition and Soil Quality in an Agricultural Belt of Haryana, India
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Abstract
The proper management of soil quality is a very important criterion for the sustainability of the soil system. The knowledge of soil quality is extremely important for proper growth and yield of the crop. Soil provides essential minerals and water through roots and helps to sustain plants in it. A fertile soil is good for agricultural purpose. The yield of crops is equally important for the farmer as well as for the nation. Keeping this in mind the present investigation was carried out in Sirsa district to determine the soil quality parameters of agricultural soil near some villages of Rania city. The samples were collected from fifteen different villages in pre monsoon season of 2016 and analyzed. Several parameters like pH, EC, total N, OC, K, Zn, Mn, P2O5, Fe2O3, and CaO were evaluated to determine the soil quality. Rania is an agricultural belt where rice & wheat are the main crops. The values of these parameters suggest that the soil in the study area was suitable for most of the crops.
fig. 1
Table 1
Methods used for analysis of soil samples
pH
pH-meter
EC
Conductivity meter
OC
Walkley and Black method
N
Kjeldahl method
P2O5
Kjeldahl method
Zn and Mn
ICP – MS
Table 2
Descriptive statistics
Parameter
Minimum
Maximum
Mean
Std. Deviation
pH
7.72
8.20
7.9127
.13312
EC
.22
.42
.3220
.05570
OC
.25
.45
.3827
.05457
Nitrogen
.02
.04
.0335
.00536
CaO
.00
1.93
.6667
.69278
P2O5
.25
.57
.4053
.09546
K
.17
.42
.2713
.08088
Fe2O3
5.78
6.28
6.0807
.14434
Mn
.65
1.94
1.5000
.45880
Zn
4.83
6.10
5.5100
.39475
Table 3
pH
EC
OC
N
K
P2O5
CaO
Fe2O3
Mn
Zn
pH
1
EC
.128
1
OC
-.012
.020
1
N
.381
-.449
-.059
1
K
.128
-.227
.330
.481
1
P2O5
-.119
.296
-.420
-.338
-.041
1
CaO
-.156
-.134
-.218
.237
.246
-.043
1
Fe2O3
-.078
-.272
-.091
.532*
.067
-.413
.131
1
Mn
.130
-.313
.539*
.454
.497
-.196
-.066
-.192
1
Zn
.238
.602*
-.268
-.318
-.573*
.287
.058
-.165
-.497
1
Table 4
Component
Initial Eigen values
Extraction Sums of Squared Loadings
Rotation Sums of Squared Loadings
Total
% of Variance
Cumulative %
Total
% of Variance
Cumulative %
Total
% of Variance
Cumulative %
1
3.185
31.849
31.849
3.185
31.849
31.849
2.680
26.797
26.797
2
1.771
17.709
49.559
1.771
17.709
49.559
1.989
19.892
46.689
3
1.383
13.833
63.391
1.383
13.833
63.391
1.551
15.506
62.195
4
1.265
12.648
76.039
1.265
12.648
76.039
1.384
13.844
76.039
5
.915
9.148
85.187
6
.655
6.547
91.734
7
.428
4.276
96.010
8
.265
2.647
98.656
9
.099
.989
99.646
10
.035
.354
100.000
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Article Details
Agriculture, Environment, Sustainability, Responsible Production and Consumption, SDG, UN, Farming
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