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Land Responses to Different Land
Management Practices in Shwe Taung,
Mandalay Region
Yinn Mar Soe
(Myanmar)
Outlines
 Background
 Objectives
 Materials & Methods
 Results & Discussion
 Conclusions
 Suggestion
2
Background
Sustainable Land Management(SLM)-
Land management issues
-for sustainable intensification of food & fiber
systems
- for rehabilitation of degraded crop, pasture,
forestlands (FRP, 2005)
-necessary to meet requirements of a growing
population
- pertain to most significant land issues –
sustaining soil productivity & averting land
degradation (FRP, 2006)
3
Solution for sustainability - soil quality concept offering
itself as a tool for studying soil responses to
different management practices
(Schjønning et al., 2004)
Soil quality - how well soil does what we want it to do
- considered as a cognitive concept - any
evaluation of some property / function in soil
necessarily involves values & priorities
Soil Quality Indicators(SQIs)
4
Link between soil quality & sustainability - very important
- soil quality not remain an abstract concept
- but to be strived for by management
(Bouma et al., 1998)
Schjønning et al. (2004) - explained “soil quality
indicators in sustainability system” for threshold
level deciding management threshold step-by-step
5
Solution for sustainability - soil quality concept offering
itself as a tool for studying soil responses to
different management practices
(Schjønning et al., 2004)
Soil quality - s how well soil does what we want it to do
- considered as a cognitive concept - any
evaluation of some property / function in
soil necessarily involves values &
priorities
6
SLM - cannot be addressed without evaluating soil
attributes (i.e. indicators)
- but putting the focus on the effects of
management may establish a more relevant
foundation for soil quality concept
7
Objective
Major objective- To assess soil responses due to
different land management practices
Specific objectives-
• To identify the soil physical & chemical properties of soil
• To inform the best management practices for sustainable
production in Shwe Taung
• To develop the soil quality indicator for the sustainability in
these land management practiced by Shwe Taung
8
Soil Analyses
July-Oct , 2011
Materials & Methods
Study Site – Shwe Taung, Mandalay Region, Myanmar
(around 21° 16’ N 96° E) , 337 ft asl
9
Soil Sampling
13th July, 2011
Soil Survey
15th May 2011
Design – RCB with 4 replications
sampling from 0-
15 cm and 15-30
cm depths
Packing sample samples from 0-15 cm
and 15-30 cm soil depths
Systematically
preparation
Disturbed
samples
Randomed
disturbed sampling
samples from 0-15
cm and 15-30 cm soil
depths
Undisturbed
soil samples
Undisturbed soil samples sampling
Disturbed soil samples sampling
10
Soil Properties Analysis
Sr.no Properties Method
1 Soil Bulk density (kgm-3) Core Method
2 Particle density Pycnometer Method
3 Total porosity (%) Baruah and Barthakur, 1999
4 Soil Organic Matter Walkley and Black Method
5 Soil Aggregate Stability White,1993
6 Soil pH (H2O 1:5) Baruah and Barthakur, 1999
7 Electrical Conductivity (EC)(dS/m) Van rust et. Al (2006
8 Soil Total Nitrogen (STN%) Kjeldahl method
9 Total CaCO3 (%) van rust et. Al (2006)
10 C:N Bashour and Sayegh, 2007
11 Soil Texture Pipette Method
12 Saturated Hydraulic Conductivity(cm day-1) Darcy Law apparatus
11
Table.1 Different Land Use and Soil Management Practices in Shwe-Daung
Land Use and Soil
Management Practices
(L)
Land Use Soil Management Practices
L1 Pasture Grassland for Cattle
L2 Forest Nature
L3 Cultivated land
Irrigated Cotton, 20 years practiced
(RF)
L4 Cultivated land Rainfed Cotton, 20 year practiced (RF)
L5 Cultivated land Irrigated Cotton-Rice Rotation (FF)
L6 Cultivated land Rice-Legume Rotation (RF)
L7 Cultivated land Irrigated Cotton-Rice Rotation(RF)
L8 Cultivated land Rainfed Cotton(FF) 12
Table.2 Soil quality indicators with critical level for agriculture
Soil Quality Indicators Critical level for agriculture Reference
Soil bulk density (kg/m3)
Loams and clay loams (1100-1500
kg/m3) (1100-1300 kg/m3), sandy
(1400-1800 kg/m3) (1300-1700 kg/m3),
organic soils (500 kg/m3)(400 kg/m3)
Baruah and Barthakur (1999)
Bashour and Sayegh (2007)
Soil particle density (kg/m3) The standard value – 2.65 kg/m3
Baruah and Barthakur (1999) Hillel
(1998)
Soil porosity (%) 30-60 %, 30-70 %
Baruah and Barthakur (1999)
Foth (1990)
Soil organic matter (%)
0.344 % (very sandy arid soils) , 86%
(peats and mucks ), <2% for tropical
soil
Baruah and Barthakur (1999),
Barrow (1991)
Soil Aggregate Stability
Increase in > 2 mm size class for
tropical
Castro Filho et al., 2002
Soil pH (H2O, 1:2)
Soil pH 5.5-6.5, Plants grow best in the
range of 5.0 to 8.5
Pansu and Gautheyrou (2006),
Wheet (2004)
Soil electrical conductivity
(dS/m)
Yield of most crops restricted between 4
and 8 dS/m. Sensitive plants (e.g. beans,
carrots) may be affected between 2 and
4, while some tolerant crops (e.g.
barley, cotton) may yield satisfactorily
between 8 and 16 dS/cm
Marshall and Holmes, 1979
13
Soil Quality Indicators Critical level for agriculture Reference
Soil organic carbon (%)
1.10-1.45 % depending on the soils
and type of vegetation
Pansu and Gautheyrou (2006)
Soil total nitrogen (%)
Its amount on cultivated soil is 0.03-
0.04 % by weight.
Mengel and Kirkby (1987),
Tisdale et al. (1995)
Corg/Nt The average value – 10-15 Baruah and Barthakur (1999)
Total CaCO3 (%)
Total CaCO3 was above 20 % , active
CaCO3 was more than 10 % which
affect soil physical and chemical
properties.
Bashour andSayegh (2007)
Soil texture
Fine textured soil (loams and clay
loams)
Baruah and Barthakur (1999)
Saturated hydraulic
conductivity (cm/day)
The infiltration capacities of many
tropical soils may change from over
2400 cm/day to less than 240
cm/day. 48 cm/day showed soil
compact condition.
Greenland and Lal (1981)
Trouse and Baver (1965)
Data Analysis
 SPSS–version 17.0
 LSD at 5 % level
 Correlation analysis and factor analysis
14
14
Results and Discussion
15
15
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
Figure.1 Effect of different Land Use and soil management practices on Soil Bulk
Density (BD)
16
0
200
400
600
800
1000
1200
1400
1600
1800
2000
L1 L2 L3 L4 L5 L6 L7 L8
Soilbulkdensity(kgm-3)
Land Use and Soil Management Practices
0-15 cm cv% 8.22 Pr≥F **
LSD(0.05) 209.3
15-30 cm cv% 4.45 Pr≥F **
LSD(0.05) 118.4
0-30 cm cv% 6.72 Pr≥F **
LSD(0.05) 174.9
Figure.3 Effect of Land Use and Soil Management Practices on Soil Porosity (SP)
(%)
17
0
5
10
15
20
25
30
35
40
L1 L2 L3 L4 L5 L6 L7 L8
Soilporosity%
Land Use and Soil Management Practices
0-15 cm cv% 24.31 Pr≥F **
LSD(0.05) 9.97
15-30 cm cv% 16.2 Pr≥F **
LSD(0.05) 5.86
0-30 cm cv% 21.6 Pr≥F **
LSD(0.05) 8.34
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
Figure.4 Effect of Land Use and Soil Management Practices on Soil Organic
Matter (% SOM)
18
18
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
L1 L2 L3 L4 L5 L6 L7 L8
Soilorganicmatter(%)
Land Use and Soil Management Practices
0-15 cm cv% 32.03 Pr≥F **
LSD(0.05) 0.57
15-30 cm cv% 38.37 Pr≥F **
LSD(0.05) 0.52
0-30 cm cv% 38.2 Pr≥F **
LSD(0.05) 0.60
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
Figure.5 Effect of Land Use and Soil Management Practices on Soil Aggregate
Stability (SAS)
19
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
L1 L2 L3 L4 L5 L6 L7 L8
SoilAggregateStability
Land Use and Soil Management Practices
0-15 cm cv% 20.36 Pr≥F **
LSD(0.05) 0.08
15-30 cm cv% 39.19 Pr≥F **
LSD(0.05) 0.12
0-30 cm cv% 29.34 Pr≥F **
LSD(0.05) 0.11
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
Figure.6 Effect of Land Use and Soil Management Practices on Soil pH
20
20
0
1
2
3
4
5
6
7
8
9
L1 L2 L3 L4 L5 L6 L7 L8
SoilpH(H2O,1:2)
Land Use and Soil Management Practices
0-15 cm cv% 8.82 Pr≥F **
LSD(0.05) 0.91
15-30 cm cv% 4.86 Pr≥F **
LSD(0.05) 0.54
0-30 cm cv% 6.94 Pr≥F **
LSD(0.05) 0.74
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
Figure.7 Effect of Land Use and Soil Management Practices on total CaCO3 (%)
21
0
2
4
6
8
10
12
14
16
18
20
L1 L2 L3 L4 L5 L6 L7 L8
TotalCaCO3(%)
Land Use and Soil Management Practices
0-15cm cv% 35.64 Pr≥F **
LSD(0.05) 1.97
15-30cm cv% 38.52 Pr≥F **
LSD(0.05) 2.13
0-30cm cv% 34.84 Pr≥F **
LSD(0.05) 1.92
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
Figure.8 Effect of Land Use and Soil Management Practices on Soil Electrical
Conductivity (EC)
22
0
1
2
3
4
5
6
L1 L2 L3 L4 L5 L6 L7 L8
SoilElectricalConductivity(dS/m)
Land Use and Soil Management Practices
0-15 cm cv% 147.76 Pr≥F **
LSD(0.05) 2.29
15-30 cm cv% 91.2 Pr≥F **
LSD(0.05) 0.99
0-30 cm cv% 134.25 Pr≥F **
LSD(0.05) 1.77
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
Figure.10 Effect of Land Use and Soil Management Practices on Soil Total
Nitrogen (STN)
23
0
0.2
0.4
0.6
0.8
1
1.2
L1 L2 L3 L4 L5 L6 L7 L8
SoilTotalNitrogen(%)
Land Use and Soil Management Practices
0-15 cm cv% 18.63 Pr≥F **
LSD(0.05) 0.22
15-30 cm cv% 24.2 Pr≥F **
LSD(0.05) 0.28
0-30 cm cv% 20.94 Pr≥F **
LSD(0.05) 0.25
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
Figure.11 Effect of Land Use and Soil Management Practices on Corg/Nt
24 24
0
0.2
0.4
0.6
0.8
1
1.2
1.4
L1 L2 L3 L4 L5 L6 L7 L8
Corg/Nt
Land Use and Soil Management Practices
0-15 cm cv% 33.94 Pr≥F **
LSD(0.05) 0.44
15-30 cm cv% 43.04 Pr≥F **
LSD(0.05) 0.44
0-30 cm cv% 41.28 Pr≥F **
LSD(0.05) 0.48
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
Table.3 Effect of Land Use and Soil Management Practices on Soil Hydraulic
Conductivity (HC)
Land Use and Soil
Management Practice
0-15cm 15-30cm 0-30cm
HC
(m/
day)
HC
(min)
HC
(max)
HC
(m/
day)
HC
(min)
HC
(max)
HC
(m/
day)
HC
(min)
HC
(max)
L1 .011 .006 .020 .011 .000 .033 .011 .003 .026
L2 .027 .020 .043 .016 .013 .031 .022 .016 .037
L3 .006 .000 .015 .004 .002 .018 .005 .000 .017
L4 .104 .083 .190 .037 .024 .075 .071 .053 .132
L5 .083 .036 .144 .012 .009 .031 .048 .023 .088
L6 .005 .002 .018 .005 .003 .017 .005 .002 .017
L7 .009 .004 .028 .006 .000 .031 .008 .002 .030
L8 .026 .017 .036 .005 .000 .012 .016 .008 .024
25 25
L4 (Rainfed Cotton) - an appropriate LU & SMP for
sustainability of agricultural soils
 lowest soil bulk density (BD kg m-3)
 lowest soil particle density (PD kg m-3)
 highest soil porosity (SP %)
 fastest rate of saturated hydraulic conductivity (HC cm day-1)
 greatest total CaCO3 content (%)
 best soil aggregate stability (SAS)
Conclusion-1
27
Table- 4 Correlation between all parameters at 0-15 cm soil depth
EC
(dS/m)
HC(cm/
day)
BD(kg/
m3)
PD(kg/
m3)
SP % SOM% SOC% STN% Corg/Nt sand % silt % clay % Soil pH SAS
Total
CaCO3
%
EC
(dS/m)
1
HC(cm/
day)
.104 1
BD(kg/
m3)
-.345 -.606
**
1
PD(kg/
m3)
-.398
*
.029 -.004 1
SP % .186 .573
**
-.930
**
.369
*
1
SOM% -.186 -.265 -.025 .014 .022 1
SOC% -.124 -.058 -.149 -.126 .092 .906
**
1
STN% -.218 -.204 .087 -.140 -.143 .428
*
.397
*
1
Corg/Nt -.027 -.050 -.238 .054 .244 .576
**
.625
**
-.197 1
sand % -.096 .169 -.211 .482
**
.365
*
.337 .291 -.114 .370
*
1
silt % .210 -.409
*
.247 -.498
**
-.403
*
-.058 -.074 -.043 -.008 -.583
**
1
clay % -.129 .271 -.047 .032 .053 -.299 -.232 .171 -.391
*
-.433
*
-.480
**
1
Soil pH .207 -.124 .301 -.171 -.344 -.145 -.189 -.072 -.066 -.357
*
.341 .008 1
SAS .487
**
.335 -.283 -.442
*
.112 -.453
**
-.295 -.217 -.131 -.553
**
.343 .216 .242 1
Total
CaCO3
%
.656
**
.435
*
-.414
*
-.548
**
.199 -.415
*
-.187 -.206 -.105 -.422
*
.324 .096 .178 .894
**
127
Table.5 Correlation between all parameters at 15-30 cm soil depth
28
EC
(dS/m)
HC(cm/
day)
BD(kg/
m3)
PD(kg/
m3)
SP % SOM% SOC% STN% Corg/Nt sand % silt % clay % Soil pH SAS
Total
CaCO3
%
EC
(dS/m)
1
HC(cm/
day)
.808**
1
BD(kg/
m3)
-.681**
-.580**
1
PD(kg/m
3)
-.511**
-.195 .386*
1
SP % .475**
.526**
-.878**
.100 1
SOM% .067 .076 -.342 -.103 .309 1
SOC% .046 .079 -.292 -.063 .275 .991**
1
STN% -.009 -.014 -.156 -.171 .071 .214 .221 1
Corg/Nt .079 .040 -.300 -.055 .292 .766**
.752**
-.217 1
sand % .323 .479**
-.447*
-.040 .470**
.188 .159 .079 .107 1
silt % .095 -.043 -.062 -.122 -.013 -.086 -.078 .027 -.087 -.634**
1
clay % -.471**
-.473**
.567**
.193 -.500**
-.101 -.079 -.120 -.011 -.321 -.529**
1
Soil pH .022 -.212 .292 -.334 -.492**
-.195 -.214 -.206 -.053 -.491**
.477**
-.045 1
SAS .692**
.415*
-.740**
-.591**
.497**
.189 .141 .045 .206 .167 .123 -.334 .127 1
Total
CaCO3
%
.731**
.520**
-.782**
-.663**
.507**
.165 .100 -.042 .181 .381*
.054 -.485**
.130 .893**
128
Table.6 Correlation between all parameters at 0-30 cm soil depth
EC
(dS/m)
HC(cm/
day)
BD(kg/
m3)
PD(kg/m
3)
SP % SOM% SOC% STN% Corg/Nt sand % silt % clay % Soil pH SAS
Total
CaCO3
%
EC
(dS/m)
1
HC(cm/
day)
.212 1
BD(kg/
m3)
-.439**
-.570**
1
PD(kg/m
3)
-.401**
-.020 .189 1
SP % .274*
.555**
-.910**
.233 1
SOM% -.070 -.067 -.225 -.041 .198 1
SOC% -.030 .082 -.274*
-.084 .230 .949**
1
STN% -.127 -.106 -.050 -.157 -.027 .323**
.311*
1
Corg/Nt .031 .050 -.307*
-.003 .302*
.690**
.707**
-.185 1
sand % .031 .148 -.278*
.186 .356**
.199 .152 -.019 .181 1
silt % .142 -.278*
.105 -.279*
-.225 -.098 -.106 -.010 -.074 -.584**
1
clay % -.192 .157 .176 .119 -.123 -.100 -.041 .031 -.108 -.399**
-.512**
1
Soil pH .112 -.219 .347**
-.233 -.441**
-.244 -.289*
-.146 -.132 -.331**
.406**
-.108 1
SAS .514**
.291*
-.510**
-.528**
.291*
-.102 -.053 -.066 .060 -.145 .210 -.083 .164 1
Total
CaCO3
%
.639**
.380**
-.576**
-.609**
.325**
-.128 -.045 -.119 .040 .002 .175 -.200 .147 .890**
1
29
To select the most appropriate indicator, soil aggregate stability (SAS)
To select the MDS; total CaCO3 %, SAS and EC (dS/m)
Factor 1
(23 %)
Total
CaCO3
%
SAS EC
(dS
/m)
Soil
Aggregation
Properties
Factor 2
(22 %)
SP
%
BD
(kg/
m3)
HC
(cm/
day)
Soil Pores’
Nature
Factor 3
(17 %)
SOC
%
SOM
%
STN
%
Soil
Organic
Carbon
Factor 4
(14 %)
Soil
texture
(clay
%)
Corg/
Nt
STN
%
Soil
Texture
(clay %)
30
31
Factor 1
(30 %)
Total
CaCO3
%
SAS EC
(dS/
m)
Soil
Aggregation
Properties
Factor 2
(19 %)
SOM
%
SOC
%
Corg/
Nt
Soil
Organic
Matter
Factor 3
(17 %)
Soil
Texture
(silt %)
Soil
Texture
(sand
%)
Soil
pH
(H2O,
1:2)
Soil
Texture
Factor 4
(13 %)
Soil
texture
(clay
%)
Corg/
Nt
STN
%
Soil
Texture
(clay %)
To select the most appropriate indicator, soil aggregate stability (SAS)
To select the MDS; total CaCO3 %, SAS and EC (dS/m)
Factor 1
(24 %)
Total
CaCO3
%
SAS EC
(dS
/m)
Soil
Aggregation
Properties
Factor 2
(19 %)
SP
%
Soil
texture
(silt
%)
HC
(cm/
day)
Soil Pores’
Nature
Factor 3
(18 %)
SOM
%
SOC
%
Corg/
Nt
Soil
Organic
Matter
Factor 4
(10 %)
Soil
texture
(clay
%)
Soil
texture
(sand
%)
STN
%
Soil
Texture
(clay %)
To select the most appropriate indicator, soil aggregate stability (SAS)
32
To select the MDS; total CaCO3 %, SAS and EC (dS/m)
Conclusion-2
To Identify MDS
soil aggregation - CaCO3 (%), soil aggregate
stability (SAS) & soil electrical
conductivity (EC) (dS/m)
Conclusion-3
To Select appropriate soil quality indicator
SAS –soil aggregate stability
LM that responses to low soil aggregate stability is
not a sustainable manner 33
THANK YOU FOR YOUR KIND ATTENTION
34

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Daw yinn mar soe mmr

  • 1. Land Responses to Different Land Management Practices in Shwe Taung, Mandalay Region Yinn Mar Soe (Myanmar)
  • 2. Outlines  Background  Objectives  Materials & Methods  Results & Discussion  Conclusions  Suggestion 2
  • 3. Background Sustainable Land Management(SLM)- Land management issues -for sustainable intensification of food & fiber systems - for rehabilitation of degraded crop, pasture, forestlands (FRP, 2005) -necessary to meet requirements of a growing population - pertain to most significant land issues – sustaining soil productivity & averting land degradation (FRP, 2006) 3
  • 4. Solution for sustainability - soil quality concept offering itself as a tool for studying soil responses to different management practices (Schjønning et al., 2004) Soil quality - how well soil does what we want it to do - considered as a cognitive concept - any evaluation of some property / function in soil necessarily involves values & priorities Soil Quality Indicators(SQIs) 4
  • 5. Link between soil quality & sustainability - very important - soil quality not remain an abstract concept - but to be strived for by management (Bouma et al., 1998) Schjønning et al. (2004) - explained “soil quality indicators in sustainability system” for threshold level deciding management threshold step-by-step 5
  • 6. Solution for sustainability - soil quality concept offering itself as a tool for studying soil responses to different management practices (Schjønning et al., 2004) Soil quality - s how well soil does what we want it to do - considered as a cognitive concept - any evaluation of some property / function in soil necessarily involves values & priorities 6
  • 7. SLM - cannot be addressed without evaluating soil attributes (i.e. indicators) - but putting the focus on the effects of management may establish a more relevant foundation for soil quality concept 7
  • 8. Objective Major objective- To assess soil responses due to different land management practices Specific objectives- • To identify the soil physical & chemical properties of soil • To inform the best management practices for sustainable production in Shwe Taung • To develop the soil quality indicator for the sustainability in these land management practiced by Shwe Taung 8
  • 9. Soil Analyses July-Oct , 2011 Materials & Methods Study Site – Shwe Taung, Mandalay Region, Myanmar (around 21° 16’ N 96° E) , 337 ft asl 9 Soil Sampling 13th July, 2011 Soil Survey 15th May 2011 Design – RCB with 4 replications
  • 10. sampling from 0- 15 cm and 15-30 cm depths Packing sample samples from 0-15 cm and 15-30 cm soil depths Systematically preparation Disturbed samples Randomed disturbed sampling samples from 0-15 cm and 15-30 cm soil depths Undisturbed soil samples Undisturbed soil samples sampling Disturbed soil samples sampling 10
  • 11. Soil Properties Analysis Sr.no Properties Method 1 Soil Bulk density (kgm-3) Core Method 2 Particle density Pycnometer Method 3 Total porosity (%) Baruah and Barthakur, 1999 4 Soil Organic Matter Walkley and Black Method 5 Soil Aggregate Stability White,1993 6 Soil pH (H2O 1:5) Baruah and Barthakur, 1999 7 Electrical Conductivity (EC)(dS/m) Van rust et. Al (2006 8 Soil Total Nitrogen (STN%) Kjeldahl method 9 Total CaCO3 (%) van rust et. Al (2006) 10 C:N Bashour and Sayegh, 2007 11 Soil Texture Pipette Method 12 Saturated Hydraulic Conductivity(cm day-1) Darcy Law apparatus 11
  • 12. Table.1 Different Land Use and Soil Management Practices in Shwe-Daung Land Use and Soil Management Practices (L) Land Use Soil Management Practices L1 Pasture Grassland for Cattle L2 Forest Nature L3 Cultivated land Irrigated Cotton, 20 years practiced (RF) L4 Cultivated land Rainfed Cotton, 20 year practiced (RF) L5 Cultivated land Irrigated Cotton-Rice Rotation (FF) L6 Cultivated land Rice-Legume Rotation (RF) L7 Cultivated land Irrigated Cotton-Rice Rotation(RF) L8 Cultivated land Rainfed Cotton(FF) 12
  • 13. Table.2 Soil quality indicators with critical level for agriculture Soil Quality Indicators Critical level for agriculture Reference Soil bulk density (kg/m3) Loams and clay loams (1100-1500 kg/m3) (1100-1300 kg/m3), sandy (1400-1800 kg/m3) (1300-1700 kg/m3), organic soils (500 kg/m3)(400 kg/m3) Baruah and Barthakur (1999) Bashour and Sayegh (2007) Soil particle density (kg/m3) The standard value – 2.65 kg/m3 Baruah and Barthakur (1999) Hillel (1998) Soil porosity (%) 30-60 %, 30-70 % Baruah and Barthakur (1999) Foth (1990) Soil organic matter (%) 0.344 % (very sandy arid soils) , 86% (peats and mucks ), <2% for tropical soil Baruah and Barthakur (1999), Barrow (1991) Soil Aggregate Stability Increase in > 2 mm size class for tropical Castro Filho et al., 2002 Soil pH (H2O, 1:2) Soil pH 5.5-6.5, Plants grow best in the range of 5.0 to 8.5 Pansu and Gautheyrou (2006), Wheet (2004) Soil electrical conductivity (dS/m) Yield of most crops restricted between 4 and 8 dS/m. Sensitive plants (e.g. beans, carrots) may be affected between 2 and 4, while some tolerant crops (e.g. barley, cotton) may yield satisfactorily between 8 and 16 dS/cm Marshall and Holmes, 1979 13 Soil Quality Indicators Critical level for agriculture Reference Soil organic carbon (%) 1.10-1.45 % depending on the soils and type of vegetation Pansu and Gautheyrou (2006) Soil total nitrogen (%) Its amount on cultivated soil is 0.03- 0.04 % by weight. Mengel and Kirkby (1987), Tisdale et al. (1995) Corg/Nt The average value – 10-15 Baruah and Barthakur (1999) Total CaCO3 (%) Total CaCO3 was above 20 % , active CaCO3 was more than 10 % which affect soil physical and chemical properties. Bashour andSayegh (2007) Soil texture Fine textured soil (loams and clay loams) Baruah and Barthakur (1999) Saturated hydraulic conductivity (cm/day) The infiltration capacities of many tropical soils may change from over 2400 cm/day to less than 240 cm/day. 48 cm/day showed soil compact condition. Greenland and Lal (1981) Trouse and Baver (1965)
  • 14. Data Analysis  SPSS–version 17.0  LSD at 5 % level  Correlation analysis and factor analysis 14 14
  • 16. L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF), L8 - Rainfed Cotton (SFF) Figure.1 Effect of different Land Use and soil management practices on Soil Bulk Density (BD) 16 0 200 400 600 800 1000 1200 1400 1600 1800 2000 L1 L2 L3 L4 L5 L6 L7 L8 Soilbulkdensity(kgm-3) Land Use and Soil Management Practices 0-15 cm cv% 8.22 Pr≥F ** LSD(0.05) 209.3 15-30 cm cv% 4.45 Pr≥F ** LSD(0.05) 118.4 0-30 cm cv% 6.72 Pr≥F ** LSD(0.05) 174.9
  • 17. Figure.3 Effect of Land Use and Soil Management Practices on Soil Porosity (SP) (%) 17 0 5 10 15 20 25 30 35 40 L1 L2 L3 L4 L5 L6 L7 L8 Soilporosity% Land Use and Soil Management Practices 0-15 cm cv% 24.31 Pr≥F ** LSD(0.05) 9.97 15-30 cm cv% 16.2 Pr≥F ** LSD(0.05) 5.86 0-30 cm cv% 21.6 Pr≥F ** LSD(0.05) 8.34 L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF), L8 - Rainfed Cotton (SFF)
  • 18. Figure.4 Effect of Land Use and Soil Management Practices on Soil Organic Matter (% SOM) 18 18 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 L1 L2 L3 L4 L5 L6 L7 L8 Soilorganicmatter(%) Land Use and Soil Management Practices 0-15 cm cv% 32.03 Pr≥F ** LSD(0.05) 0.57 15-30 cm cv% 38.37 Pr≥F ** LSD(0.05) 0.52 0-30 cm cv% 38.2 Pr≥F ** LSD(0.05) 0.60 L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF), L8 - Rainfed Cotton (SFF)
  • 19. Figure.5 Effect of Land Use and Soil Management Practices on Soil Aggregate Stability (SAS) 19 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 L1 L2 L3 L4 L5 L6 L7 L8 SoilAggregateStability Land Use and Soil Management Practices 0-15 cm cv% 20.36 Pr≥F ** LSD(0.05) 0.08 15-30 cm cv% 39.19 Pr≥F ** LSD(0.05) 0.12 0-30 cm cv% 29.34 Pr≥F ** LSD(0.05) 0.11 L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF), L8 - Rainfed Cotton (SFF)
  • 20. Figure.6 Effect of Land Use and Soil Management Practices on Soil pH 20 20 0 1 2 3 4 5 6 7 8 9 L1 L2 L3 L4 L5 L6 L7 L8 SoilpH(H2O,1:2) Land Use and Soil Management Practices 0-15 cm cv% 8.82 Pr≥F ** LSD(0.05) 0.91 15-30 cm cv% 4.86 Pr≥F ** LSD(0.05) 0.54 0-30 cm cv% 6.94 Pr≥F ** LSD(0.05) 0.74 L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF), L8 - Rainfed Cotton (SFF)
  • 21. Figure.7 Effect of Land Use and Soil Management Practices on total CaCO3 (%) 21 0 2 4 6 8 10 12 14 16 18 20 L1 L2 L3 L4 L5 L6 L7 L8 TotalCaCO3(%) Land Use and Soil Management Practices 0-15cm cv% 35.64 Pr≥F ** LSD(0.05) 1.97 15-30cm cv% 38.52 Pr≥F ** LSD(0.05) 2.13 0-30cm cv% 34.84 Pr≥F ** LSD(0.05) 1.92 L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF), L8 - Rainfed Cotton (SFF)
  • 22. Figure.8 Effect of Land Use and Soil Management Practices on Soil Electrical Conductivity (EC) 22 0 1 2 3 4 5 6 L1 L2 L3 L4 L5 L6 L7 L8 SoilElectricalConductivity(dS/m) Land Use and Soil Management Practices 0-15 cm cv% 147.76 Pr≥F ** LSD(0.05) 2.29 15-30 cm cv% 91.2 Pr≥F ** LSD(0.05) 0.99 0-30 cm cv% 134.25 Pr≥F ** LSD(0.05) 1.77 L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF), L8 - Rainfed Cotton (SFF)
  • 23. Figure.10 Effect of Land Use and Soil Management Practices on Soil Total Nitrogen (STN) 23 0 0.2 0.4 0.6 0.8 1 1.2 L1 L2 L3 L4 L5 L6 L7 L8 SoilTotalNitrogen(%) Land Use and Soil Management Practices 0-15 cm cv% 18.63 Pr≥F ** LSD(0.05) 0.22 15-30 cm cv% 24.2 Pr≥F ** LSD(0.05) 0.28 0-30 cm cv% 20.94 Pr≥F ** LSD(0.05) 0.25 L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF), L8 - Rainfed Cotton (SFF)
  • 24. Figure.11 Effect of Land Use and Soil Management Practices on Corg/Nt 24 24 0 0.2 0.4 0.6 0.8 1 1.2 1.4 L1 L2 L3 L4 L5 L6 L7 L8 Corg/Nt Land Use and Soil Management Practices 0-15 cm cv% 33.94 Pr≥F ** LSD(0.05) 0.44 15-30 cm cv% 43.04 Pr≥F ** LSD(0.05) 0.44 0-30 cm cv% 41.28 Pr≥F ** LSD(0.05) 0.48 L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF), L8 - Rainfed Cotton (SFF)
  • 25. Table.3 Effect of Land Use and Soil Management Practices on Soil Hydraulic Conductivity (HC) Land Use and Soil Management Practice 0-15cm 15-30cm 0-30cm HC (m/ day) HC (min) HC (max) HC (m/ day) HC (min) HC (max) HC (m/ day) HC (min) HC (max) L1 .011 .006 .020 .011 .000 .033 .011 .003 .026 L2 .027 .020 .043 .016 .013 .031 .022 .016 .037 L3 .006 .000 .015 .004 .002 .018 .005 .000 .017 L4 .104 .083 .190 .037 .024 .075 .071 .053 .132 L5 .083 .036 .144 .012 .009 .031 .048 .023 .088 L6 .005 .002 .018 .005 .003 .017 .005 .002 .017 L7 .009 .004 .028 .006 .000 .031 .008 .002 .030 L8 .026 .017 .036 .005 .000 .012 .016 .008 .024 25 25
  • 26. L4 (Rainfed Cotton) - an appropriate LU & SMP for sustainability of agricultural soils  lowest soil bulk density (BD kg m-3)  lowest soil particle density (PD kg m-3)  highest soil porosity (SP %)  fastest rate of saturated hydraulic conductivity (HC cm day-1)  greatest total CaCO3 content (%)  best soil aggregate stability (SAS) Conclusion-1
  • 27. 27 Table- 4 Correlation between all parameters at 0-15 cm soil depth EC (dS/m) HC(cm/ day) BD(kg/ m3) PD(kg/ m3) SP % SOM% SOC% STN% Corg/Nt sand % silt % clay % Soil pH SAS Total CaCO3 % EC (dS/m) 1 HC(cm/ day) .104 1 BD(kg/ m3) -.345 -.606 ** 1 PD(kg/ m3) -.398 * .029 -.004 1 SP % .186 .573 ** -.930 ** .369 * 1 SOM% -.186 -.265 -.025 .014 .022 1 SOC% -.124 -.058 -.149 -.126 .092 .906 ** 1 STN% -.218 -.204 .087 -.140 -.143 .428 * .397 * 1 Corg/Nt -.027 -.050 -.238 .054 .244 .576 ** .625 ** -.197 1 sand % -.096 .169 -.211 .482 ** .365 * .337 .291 -.114 .370 * 1 silt % .210 -.409 * .247 -.498 ** -.403 * -.058 -.074 -.043 -.008 -.583 ** 1 clay % -.129 .271 -.047 .032 .053 -.299 -.232 .171 -.391 * -.433 * -.480 ** 1 Soil pH .207 -.124 .301 -.171 -.344 -.145 -.189 -.072 -.066 -.357 * .341 .008 1 SAS .487 ** .335 -.283 -.442 * .112 -.453 ** -.295 -.217 -.131 -.553 ** .343 .216 .242 1 Total CaCO3 % .656 ** .435 * -.414 * -.548 ** .199 -.415 * -.187 -.206 -.105 -.422 * .324 .096 .178 .894 ** 127
  • 28. Table.5 Correlation between all parameters at 15-30 cm soil depth 28 EC (dS/m) HC(cm/ day) BD(kg/ m3) PD(kg/ m3) SP % SOM% SOC% STN% Corg/Nt sand % silt % clay % Soil pH SAS Total CaCO3 % EC (dS/m) 1 HC(cm/ day) .808** 1 BD(kg/ m3) -.681** -.580** 1 PD(kg/m 3) -.511** -.195 .386* 1 SP % .475** .526** -.878** .100 1 SOM% .067 .076 -.342 -.103 .309 1 SOC% .046 .079 -.292 -.063 .275 .991** 1 STN% -.009 -.014 -.156 -.171 .071 .214 .221 1 Corg/Nt .079 .040 -.300 -.055 .292 .766** .752** -.217 1 sand % .323 .479** -.447* -.040 .470** .188 .159 .079 .107 1 silt % .095 -.043 -.062 -.122 -.013 -.086 -.078 .027 -.087 -.634** 1 clay % -.471** -.473** .567** .193 -.500** -.101 -.079 -.120 -.011 -.321 -.529** 1 Soil pH .022 -.212 .292 -.334 -.492** -.195 -.214 -.206 -.053 -.491** .477** -.045 1 SAS .692** .415* -.740** -.591** .497** .189 .141 .045 .206 .167 .123 -.334 .127 1 Total CaCO3 % .731** .520** -.782** -.663** .507** .165 .100 -.042 .181 .381* .054 -.485** .130 .893** 128
  • 29. Table.6 Correlation between all parameters at 0-30 cm soil depth EC (dS/m) HC(cm/ day) BD(kg/ m3) PD(kg/m 3) SP % SOM% SOC% STN% Corg/Nt sand % silt % clay % Soil pH SAS Total CaCO3 % EC (dS/m) 1 HC(cm/ day) .212 1 BD(kg/ m3) -.439** -.570** 1 PD(kg/m 3) -.401** -.020 .189 1 SP % .274* .555** -.910** .233 1 SOM% -.070 -.067 -.225 -.041 .198 1 SOC% -.030 .082 -.274* -.084 .230 .949** 1 STN% -.127 -.106 -.050 -.157 -.027 .323** .311* 1 Corg/Nt .031 .050 -.307* -.003 .302* .690** .707** -.185 1 sand % .031 .148 -.278* .186 .356** .199 .152 -.019 .181 1 silt % .142 -.278* .105 -.279* -.225 -.098 -.106 -.010 -.074 -.584** 1 clay % -.192 .157 .176 .119 -.123 -.100 -.041 .031 -.108 -.399** -.512** 1 Soil pH .112 -.219 .347** -.233 -.441** -.244 -.289* -.146 -.132 -.331** .406** -.108 1 SAS .514** .291* -.510** -.528** .291* -.102 -.053 -.066 .060 -.145 .210 -.083 .164 1 Total CaCO3 % .639** .380** -.576** -.609** .325** -.128 -.045 -.119 .040 .002 .175 -.200 .147 .890** 1 29
  • 30. To select the most appropriate indicator, soil aggregate stability (SAS) To select the MDS; total CaCO3 %, SAS and EC (dS/m) Factor 1 (23 %) Total CaCO3 % SAS EC (dS /m) Soil Aggregation Properties Factor 2 (22 %) SP % BD (kg/ m3) HC (cm/ day) Soil Pores’ Nature Factor 3 (17 %) SOC % SOM % STN % Soil Organic Carbon Factor 4 (14 %) Soil texture (clay %) Corg/ Nt STN % Soil Texture (clay %) 30
  • 31. 31 Factor 1 (30 %) Total CaCO3 % SAS EC (dS/ m) Soil Aggregation Properties Factor 2 (19 %) SOM % SOC % Corg/ Nt Soil Organic Matter Factor 3 (17 %) Soil Texture (silt %) Soil Texture (sand %) Soil pH (H2O, 1:2) Soil Texture Factor 4 (13 %) Soil texture (clay %) Corg/ Nt STN % Soil Texture (clay %) To select the most appropriate indicator, soil aggregate stability (SAS) To select the MDS; total CaCO3 %, SAS and EC (dS/m)
  • 32. Factor 1 (24 %) Total CaCO3 % SAS EC (dS /m) Soil Aggregation Properties Factor 2 (19 %) SP % Soil texture (silt %) HC (cm/ day) Soil Pores’ Nature Factor 3 (18 %) SOM % SOC % Corg/ Nt Soil Organic Matter Factor 4 (10 %) Soil texture (clay %) Soil texture (sand %) STN % Soil Texture (clay %) To select the most appropriate indicator, soil aggregate stability (SAS) 32 To select the MDS; total CaCO3 %, SAS and EC (dS/m)
  • 33. Conclusion-2 To Identify MDS soil aggregation - CaCO3 (%), soil aggregate stability (SAS) & soil electrical conductivity (EC) (dS/m) Conclusion-3 To Select appropriate soil quality indicator SAS –soil aggregate stability LM that responses to low soil aggregate stability is not a sustainable manner 33
  • 34. THANK YOU FOR YOUR KIND ATTENTION 34

Editor's Notes

  1. This slide showed Undisturbed soil samples sampling and Disturbed soil samples sampling.
  2. Table. 1 showed soil quality indicators with critical level for agriculture.
  3. This slide showed data analysis. (SPSS–version 17.0) was used for data analysis. One way ANOVA were constructed for two different depths as RCB with four replications and all means were compared using LSD at 5% level. For the selection of soil properties as soil indicator for MDS, correlation analysis and factor analysis was conducted again.
  4. Let me continue Results and Discussion
  5. Figure 1 showed effect of land use and soil management practices on soil bulk density. Soil bulk density was significantly different at 1% level in 0-15 cm, 15-30cm and 0-30 cm soil depths. Slide show. In figure, L1 showed the animals’ trampling effect as the findings of Tilahun. The lowest BD values were observed at both layers of L4 and the greatest BD values were observed at both layers of L6. So the lowest BD values at all layers of L4 showed it was the suitable for LU and SMP of SD region. The deeper soil depth , the greater BD was observed in all land use and soil management practices except L7.
  6. Figure 3 is the effect of land use and soil management practices on soil porosity. Soil porosity for all layers was significantly different at 1% level. The greater SP, the lowest BD was observed in all land use and soil management practices. Slide show. The greatest SP of L4 showed that it was the suitable LU and SMP for SD region.
  7. Figure 4 showed effect of land use and soil management practices on soil organic matter. Soil organic matter for all layers was significantly different at 1% level. The greatest soil organic matter was observed at both layers of L2. Slide show. SOM content of L4 was not significantly lower than other cultivated lands. The lower SOM the deeper soil depth was observed in all land use and soil management practices except L4 and L7.
  8. Figure 5 is effect of land use and soil management practices on soil aggregate stability. SAS was significantly different at 1% level in all soil layers . In figure, the greatest SAS values at all layers of L4 showed that L4 was suitable for SD region. Similarly Slide show.
  9. Figure 6 showed effect of land use and soil management practices on soil pH. Soil pH for all layers was also significantly different at 1% level. In figure, soil pH of all LU and SMP were included in the range of 6.1-8.5. By the literature, plants can grow best in this range. The deeper soil depth, the greater soil pH was observed in all LU and SMP. Slide show. Similar result also observed in this study.
  10. Figure 7 showed effect of land use and soil management practices on total CaCO3. Total CaCO3 was also significantly different at 1% level in all layers. In the figure, greater total CaCO3 values were observed at all layers of L4 and L7. however L7 showed the greater total CaCO3 value at the upper layer than that of lower layer due to the improper management practices. This parameter also showed that L4 was suitable for SD region. Slide show. Similar with my study.
  11. Figure 8 is the effect of land use and soil management practices on soil electrical conductivity. EC was also significantly different at 1% level in all layers. EC value at the upper layer of L4 was greater than 4 dS/m. However the average EC value of L4 was lower than 4 dS/m. L4 was cotton growing soil, thus these values were not problem for its cultivation. In this study, EC values for other land use and soil management practices were lower than 1.8 dS/m. Similarly slide show.
  12. Figure 10 is the effect of land use and soil management practices on soil total nitrogen. Soil total nitrogen for all layers was also significantly different at 1% level. Slide show. However L2 was different former presentation due to its great BD and sand content. In the figure, the greatest soil total nitrogen values were observed at all layers of L3. Among the cultivated lands, L4 and L7 were showed the second greatest STN values.
  13. Figure 11 showed effect of land use and soil management practices on Corg/Nt. Corg/Nt was significantly different at 1% level in all layers. In figure, the greater values were observed at both layers of L2 and the lower value was observed at 2nd layer of L8. Similarly John reported – Slide show
  14. Table 2 showed effect of land use and soil management practices on HC. The fastest infiltration rates at all layers of L4 showed that it was suitable for SD region. Similar observation indicated by Osuji who –slide show
  15. Table 4showed correlation between all parameters at 0-15 cm soil depth.
  16. Table 5 showed correlation between all parameters at 15-30 cm soil depth
  17. Table 6 showed correlation between all parameters at 0-30 cm soil depth.
  18. This slide shows factor analysis for 0-15 cm soil depth. Factor 1 showed 23% of variance by factor rotation. It was showed soil chemical properties including the total CaCO3, SAS, EC. 22 % of variance was observed at factor 2. There was soil pores’ nature including SP, BD and HC. Variance % of factor 1 and factor 2 was not significantly different. To select the appropriate, easiest and cheapest indicator, soil porosity can be selected to evaluate the sustainability of land use and soil management practices on Shwe-Daung soils.
  19. This slide shows factor analysis for 15-30 cm soil depth. Factor 1 showed 30% of variance by factor rotation. It was showed soil chemical properties including the total CaCO3, SAS, EC. 19 % of variance was observed at factor 2. There was soil organic matter status including SOM, SOC and C/N. Variance % of factor 1 and factor 2 was significantly different. Therefore, to select the appropriate indicator, total CaCO3 should be selected to evaluate the sustainability of land use and soil management practices on Shwe-Daung soils.
  20. This slide shows factor analysis for 0-30 cm soil depth. Factor 1 showed 24% of variance by factor rotation. It was showed soil chemical properties including the total CaCO3, SAS, EC. 19 % of variance was observed at factor 2. There was soil pores’ nature including SP, Soil texture(silt %) and HC. Variance % of factor 1 and factor 2 was significantly different. Therefore, to select the proper indicator, total CaCO3 should be selected to evaluate the sustainability of land use and soil management practices on Shwe-Daung soils.