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Influence of Long Term Nitrogen and Potassium Fertilization on the
Biochemistry of Tea Soil
Keywords:
Soil enzymes, urease, cellulase, Tea, Soil pH, nitrogen and potassium
fertilizers
ABSTRACT:
As the tea plantation in hilly tracts are located in slopes, the management of
fertilizer regimes is somewhat challengeable due to leaching which in turn affect the
quality of tea soil. In light of this fact the present study was focused to determine the
quality of tea soil in terms of the evaluation of certain physical and biological
characteristics as influenced by various dosage of fertilizer applications. The impact of long
term nitrogen and potassium fertilization on biochemical characteristics and microbial
activities in tea soil has been analyzed in the present study. Different sources and rates of
nitrogen (ammonium sulphate and urea), and potassium (muriate of potash) were tested
at two soil depths (0-10 cm and 10-20 cm) and for two seasons (premonsoon and
monsoon). The acidic tea soil was further acidified with nitrogen application and the
extent of acidification varied with the fertilizer type and season. Soil respiration rates were
higher in 0-10 cm soils and were positively related to soil nitrogen and potassium
concentrations. Among the soil enzymes analyzed, urease activity exhibited different
trends in the two soil depths at different seasons. Urease activity tended to increase with
increasing potassium application rates, whereas higher cellulase activity was associated
with lower nitrogen application rates. This study clearly indicates that the soil quality
depends on the fertilizer application rates and season.
124-135 | JRA | 2012 | Vol 1 | No 2
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www.jagri.info
Journal of Research in
Agriculture
An International Scientific
Research Journal
Authors:
Thenmozhi K1
, Manian S2
and Paulsamy S1
.
Institution:
1.Department of Botany,
Kongunadu Arts and Science
College, Coimbatore
641 029, Tamil Nadu, India.
2. Department of Botany,
Bharathiar University,
Coimbatore 641 046, Tamil
Nadu, India.
Corresponding author:
Thenmozhi K.
Email:
thenmozhi_05@yahoo.co.in
Phone No:
+91- 9942474703.
Web Address:
http://www.jagri.info
documents/AG0029.pdf.
Dates:
Received: 14 Sep 2012 Accepted: 01 Oct 2012 Published: 06 Oct 2012
Article Citation:
Thenmozhi K, Manian Sand Paulsamy S.
Influence of Long Term Nitrogen and Potassium Fertilization on the Biochemistry of
Tea Soil.
Journal of Research in Agriculture (2012) 1(2): 124-135
Original Research
Journal of Research in Agriculture
JournalofResearchinAgriculture An International Scientific Research Journal
INTRODUCTION
Tea (Camellia sinensis (L.) O. Kuntz), a
perennial shrub, cultivated in acid soil yields one of the
most popular non-alcoholic beverage tea which is
consumed world-wide for its taste, aroma and health
effects. South India contributes about 24% of India’s
total tea production. Being a foliage crop, nutrient
requirements for commercial tea production are
particularly high. Nitrogen and potassium are the two
major nutrients of tea without which, commercial
production levels are difficult to achieve (Verma, 1993;
Verma et al., 2001). In south Indian tea gardens, nitrogen
and potassium fertilizers are always applied in
combination. There are three different sources of
nitrogen, namely ammonium sulphate, urea and calcium
ammonium nitrate. However, the choice of potassium is
confined to muriate of potash. This soil management has
potential impact upon soil biological quality. Nitrogen
fertilizers when used on a regular basis tend to acidify
soil. Further, long-term nitrogen fertilization has been
shown to affect the distribution and the amount of
organic carbon, soil microbial biomass and soil enzyme
activities (Darusman et al., 1991; Mc Andrew and
Malhi, 1992). Thus fertilizers as nutrient sources may
have beneficial influence on plants; however, there may
be adverse effects especially on microorganisms, as a
result of soil acidification.
Enzymes catalyze all biochemical reactions and
are an integral part of nutrient cycling in soil.
Investigations are often limited to few enzymes to show
that agricultural management practices affect enzyme
activity (Dick, 1994). A wide range of enzymes have not
been systematically investigated for their potential to
reflect short and long-term soil management effects in
relation to soil quality.
Although the effect of combined application of
nitrogen and potassium fertilizers on biochemical
characteristics of tea is well reported (Venkatesan and
Ganapathy, 2004; Venkatesan et al., 2005), its effect on
soil physico-chemical and biological characteristics are
scarce (Venkatesan et al., 2004). Increasing evidence
indicates that soil biological parameters may hold
potential as early and sensitive indicators of soil health.
Microbial characteristics of acid tea soils are reported to
be qualitatively different from normal acid soils
(Nioh et al., 1993). The objective of the study was to
evaluate the long - term impact of fertilizer application
on physico-chemical and microbiological properties of
selected soil in an experimental tea field receiving
fertilizer treatment since 1994. The selection of
biological response variables was based upon their
relationship to soil function. The soil microbial
community inhabits an environment responding to
physical, chemical or biological perturbation. Soil
biological properties were chosen to represent the soil
environment in which the organism must exist (soil
organic matter and moisture), the microbial community
itself (soil respiration) and biochemical activities of these
populations (soil cellulase and urease activity). These
biochemical activities were chosen to be a representative
of nutrients that influence plant production.
MATERIALS AND METHODS
Experimental site and design
The experimental site was located at United
Planters Association of Southern India (UPASI) Tea
Research Foundation at Anamallais (10°30’N and
77°0’E, at 1050 m a.s.l.), southern India. The climatic
data collected from UPASI Tea Research
Institute - Meterological station, Valparai for the past 20
years showed that the site is experiencing an average
annual rainfall of 1100 mm and the temperature range of
11-29°C. The investigation was carried out in the long
term fertilizer trial plots (10m x 10m) established in 1994
using tea clone SA 6 with 100 bushes/ plot. The duration
of the study period was one year from Nov. 2010 to
Oct. 2011.
125 Journal of Research in Agriculture (2012) 1(2): 124-135
Thenmozhi et al.,2012
Experimental setup
The experimental plots were setup to investigate
the impacts of nitrogen and potassium fertilization on
soil biochemistry and employed a randomized complete
block design with three replicate plots for the fifteen
treatments and unfertilized control plots. The fifteen
treatments included different levels of nitrogen and
potassium (150, 300 and 450 kg ha-1
y -1
) individually and
in various combinations.
Fertilizers were broadcasted in four split doses in
order to avoid volatilization and leaching. Nitrogen was
applied as 25% sulphate of ammonia (containing 20%
nitrogen) and urea (containing 46% nitrogen). Potassium
was applied as muriate of potash (containing 63%
potassium). Sulphate of ammonia was broadcasted at the
rate of 7.5, 15 and 22.5 kg ha-1
between February and
November. Urea at the rate of 17.25, 34.5 and
51.75 kg ha-1
was broadcasted between May and August.
Muriate of potash was applied at the rate of 23.63, 47.25
and 70.88 kg ha-1
along with sulphate of ammonia or
urea. Other nutrients (Phosphorus, Calcium, Magnesium,
Sulphur, Zinc, Manganese and Boron) were applied at
recommended rates and regular cultural practices were
carried out uniformly in all the plots (Verma and Palani,
1997).
Sampling
Soil samples were collected during premonsoon
(March) and monsoon (June) in 2011. Ten soil cores
(5 cm in diameter) at the depths of 0-10 cm (L1 layer)
and 10-20 cm (L2 layer) were randomly taken from each
plot and bulked. Field moist samples were passed
through a 2-mm sieve and divided into two equal parts.
One part was used for the determination of soil moisture,
pH, electrical conductivity, total nitrogen, exchangeable
potassium and organic carbon. The other part was stored
at 4°C prior to microbiological assays.
Soil analysis
Soil moisture content was determined after
drying at 105°C to a constant weight. Soil pH and
Journal of Research in Agriculture (2012) 1(2): 124-135 126
Thenmozhi et al.,2012
Treatment
Moisture(%)pHEC(dSm-1
)
S1S2S1S2S1S2
L1L2L1L2L1L2L1L2L1L2L1L2
N0K011.00bc11.67de18.00def19.00de3.76f3.36h4.69b4.33d0.216i0.248h0.388e0.332e
N0K1506.67e-h10.00def19.67b-e21.00bcd3.86d3.65c4.79a4.66a0.277g0.309de0.294h0.304f
N0K3008.00de12.00cd19.00b-f21.67bc3.89c3.55d4.60c4.40c0.182j0.211j0.320g0.243i
N0K4505.67fgh9.67efg20.33bc21.00bcd4.32a3.82b4.59c4.47b0.178j0.320d0.239i0.214k
N150K010.00cd11.33de20.33bc22.67b3.55h3.43f4.25d4.38c0.324e0.249h0.335f0.256h
N150K15013.00ab14.00bc20.00bcd21.67bc3.68g3.47e4.26d4.30d0.328e0.225i0.338f0.228j
N150K30011.00bc15.67ab21.00b23.00ab3.43k3.39g4.23de4.33d0.360c0.223i0.346f0.257h
N150K45014.67a16.33a24.00a25.00a3.82e3.43f4.19f4.31d0.365c0.264g0.421d0.367d
N300K07.00efg10.00def18.67c-f19.67cde3.54h3.28i4.20ef4.25e0.245h0.269g0.287h0.299f
N300K1508.00de12.00cd17.67ef19.00de3.50i3.28i4.14g4.32d0.389b0.316de0.345f0.326e
N300K3005.00gh7.00hi18.33c-f18.00e3.46j3.22j3.86k4.40c0.280g0.352b0.491a0.249hi
N300K4504.67h6.00i19.00b-f19.33de4.06b3.97a4.07h4.31d0.304f0.308e0.337f0.420b
N450K07.00efg7.67ghi17.67ef20.00cde3.24m3.03k4.04h4.14g0.454a0.432a0.319g0.325e
N450K1507.00efg9.67efg18.00def18.00e3.43k3.36h3.98i4.20f0.214i0.266g0.343f0.288g
N450K3007.67ef9.00fgh19.33b-e19.67cde3.29l3.21j3.89j4.23ef0.343d0.339c0.473b0.382c
N450K4507.33ef9.00fgh17.00f20.00cde3.29l3.23j4.05h4.23ef0.380b0.287f0.452c0.501a
Table1Physicalcharactersofsoilfor0-10cmlayer(L1)and10-20cmlayer(L2)duringpremonsoon(S1)andmonsoon(S2)seasonsasinfluencedby
nitrogenandpotassiumfertilization.
Meansinacolumnforasoillayerfollowedbysameletter(s)donotsignificantlydiffer(P<0.05)accordingtoDuncan’sMultipleRangeTest.
electrical conductivity were measured using a digital pH
meter (Cyberscan 510, Singapore) and Conductivity
Bridge Meter (ORLAB 201, India). Total nitrogen was
measured using an autoanalyser (Skalar autoanalyser,
Netherlands) after Kjeldahl digestion and distillation.
Exchangeable potassium was extracted in ammonium
acetate solution (pH 7) and measured using a flame
photometer (GENWAY). Total organic carbon was
determined according to Nelson and Sommers (1982).
The titration method of Jaggi (1976) was used to
assess soil respiration. Urease activity was determined
according to Kandeler and Gerber (1988) with urea (1M)
as a substrate and the values were expressed as
µg N.g -1
dm.2h -1
using the calibration curve. Cellulase
activity was determined by incubation of soil samples
with water-soluble carboxymethylcellulose (Schinner
and Von Mersi, 1990) for 24 h at 50°C, pH 5.5. Low
molecular products and sugars resulting from the
enzymatic degradation of carboxymethylcellulose were
used for the quantitative reduction of potassium
hexacyanoferrate II to potassium hexacyanoferrate III,
which reacts with Fe (III) ammonium sulfate to form a
complex known as “Prussian Blue“, which is determined
photometrically at 690 nm. Cellulase activity is
expressed as µg GE g-1
dm 24 h -1
.
Statistical analysis
All data were subjected to analysis of variance
(ANOVA) (IRRISTAT, version 3/93) and Duncan’s
Multiple Range Test (P<0.05) was used to separate the
means when the differences were significant. Pearson’s
correlation analysis was used to assess the relationship
between soil and microbial variables. The latter analysis
was carried out in SPSS 9.0.
RESULTS
Soil properties
Soil in the experimental plots were clayey loam
and fertilizer application had a profound influence on
soil moisture. As expected, soil moisture was
127 Journal of Research in Agriculture (2012) 1(2): 124-135
Thenmozhi et al.,2012
Treatment
Totalnitrogen(%)Exchangeablepotassium(mgkg-1
l)Organiccarbon(%)
S1S2S1S2S1S2
L1L2L1L2L1L2L1L2L1L2L1L2
N0K00.37hi0.29ef0.27fg0.24b155.21h101.83i162.65i107.43k4.83h3.26h3.99h3.55f
N0K1500.36i0.31de0.29efg0.14e248.45d186.88e228.20d197.43d5.24f3.69e4.06h3.63e
N0K3000.40def0.34abc0.24h0.19c259.83c223.59c217.85e157.78e5.07g3.39g4.37g3.00j
N0K4500.38fgh0.27g0.27g0.19c323.70b246.72b281.22b259.77b4.79h3.82d4.91e4.10c
N150K00.38ghi0.28fg0.28fg0.16de136.95j93.35j123.02m115.33i5.00g3.32g4.45g3.08i
N150K1500.47a0.31de0.29ef0.15e141.50i80.88l137.43k115.33i6.07a3.84d3.90i3.20h
N150K3000.38ghi0.28fg0.27g0.31a159.83g119.18g197.20f143.36f5.34e3.33gh5.27c3.39g
N150K4500.42bcd0.27fg0.38b0.30a442.71a313.23a370.01a265.10a5.04g3.80d5.85b3.86d
N300K00.42cde0.33bcd0.37b0.25b76.80n60.86n67.28p88.53m5.46d4.00c4.00h4.02c
N300K1500.42cd0.29efg0.36bc0.31a106.12l80.88l92.90o106.25l5.50cd3.78d5.19c4.96a
N300K3000.39fg0.35a0.36bc0.24b128.02k114.79h152.95j119.92h5.69b4.37a5.93b3.71e
N300K4500.43bc0.31de0.31de0.25b217.02f202.44d192.39g138.61g5.27ef3.59f4.64f3.28h
N450K00.44b0.35ab0.38ab0.16de80.88m73.80m101.76n55.10o5.46d3.94c5.03d3.82d
N450K1500.43bc0.32cd0.35c0.16de128.02k85.00k129.20l75.65n6.01a4.10b4.37g3.28h
N450K3000.40efg0.33abc0.33d0.24b128.02k80.88l187.37h110.77j5.56c4.29a5.19c4.33b
N450K4500.44bc0.34abc0.40a0.17cd223.59e180.88f270.01c201.76c6.08a4.35a6.08a4.29b
Meansinacolumnforasoillayerfollowedbysameletter(s)donotsignificantlydiffer(P<0.05)accordingtoDuncan’sMultipleRangeTest.
Table2Chemicalcharactersofsoilfor0-10cmlayer(L1)and10-20cmlayer(L2)duringpremonsoon(S1)andmonsoon(S2)seasonsasinfluencedbynitrogenand
potassiumfertilization.
significantly higher during monsoon and was affected by
fertilization. Similarly, the L2 layer was moister than the
L1 layer during both the seasons. For premonsoon period,
it ranged between 4.67-14.67% (L1) and 6.00-16.33%
(L2), respectively. On the other hand, it registered
17.00-24.00% (L1) and 18.00-25.00 % (L2) of mixture
for monsoon seasons (Table 1). Soil moisture was higher
in unfertilized soils during both seasons, but
progressively decreased with fertilizer application rates,
especially nitrogen (300 and 450 kg ha-1
).
A significant difference in soil pH was evident
between layers, seasons and most treatments. Soils
fertilized with potassium had higher pH values, the
exception being the 0-10 cm soils fertilized with 300 and
450 kg ha-1
of potassium. In contrast, soils fertilized with
nitrogen had the lowest pH values, and this drop in pH
was more evident in the top 0-10 cm soils than in 10-20
cm soils. Soil pH correlated positively with soil moisture
levels (r = 0.737; P<0.01) (Table 1, 3). Like pH, soil
electrical conductivity also exhibited significant
differences between treatments, seasons and layers.
During premonsoon, soils fertilized with nitrogen had
either almost similar or significantly higher electrical
conductivity values. In contrast during monsoon, soil in
nitrogen fertilized plots had decreased electrical
conductivity values compared to unfertilized plots
(Table 1).
Total soil nitrogen and exchangeable potassium
significantly differed between seasons, layers and among
treatments (Tables 2 and 3). The percentage nitrogen
content of the tea soil was higher during premonsoon
period (S1) when compared to the monsoon season (S2).
Similarly, the nitrogen content of L1 layer was higher
when compared to their respective L2 layer. Further the
application of nitrogen fertilizer at different doses
enhanced the available nitrogen in L1 layer
concomitantly (Table 2). The exchangeable potassium
level was comparable between premonsoon (S1) and
monsoon (S2) seasons and it fluctuated between different
Journal of Research in Agriculture (2012) 1(2): 124-135 128
Thenmozhi et al.,2012
SourceofvariationdfMoisture(%)pHEC(dSm-1
)
Soilnutrients
Totalnitrogen(%)Exchangeable
potassium(mgkg-1
l)
Organiccarbon(%)
Treatment(T)15,12834.25**1549.14**74.64**49.53**1299822839.47**23.06**
Layer(L)1,128100.92**583.84**928.33**3078.56**1627574891.37**156.62**
Season(S)1,1283306.72**84721.78**1598.55**2385.60**911800.35**64.56**
TxL15,1281.39228.48**175.49**28.54**40106426.78**11.13**
TxS15,1287.16**379.04**275.21**37.60**50173100.71**21.50**
LxS1,1288.33**3351.83**266.86**2.052953962.16**140.98**
TxLxS5,1281.2474.64**196.65**29.49**14858168.87**16.02**
Table3F-Valuesofvarioussoilphysicochemicalcharactersasinfluencedbynitrogenandpotassiumfertilization.
**and***significantatP<0.01andP<0.001respectively.
treatment plots in the range of 55.1 and 442.7 mg/ kg dry
soil. However, the potassium content was comparably
higher in the L1 layer than the L2 layer. The application
of increasing doses of muriate of potash in the different
experimental plots resulted in the enhanced amount of
potassium content in both L1 and L2 layers (Table 2).
Generally nitrogen content in the 0-10 cm soils was
higher when compared to their respective 10-20 cm soils.
Exchangeable potassium was lower in nitrogen fertilized
soils than unfertilized soils. Soil nitrogen was
significantly (P<0.01) and negatively correlated to soil
moisture (r = -0.627) and pH (r = -0.518). In contrast,
soil potassium and pH had a significant and positive
correlation (r = 0.267; P<0.05). Organic carbon was
higher in the 0-10 cm soils than in 10-20 cm soils and
significantly varied with fertilization and seasons.
Generally, organic carbon was higher during
premonsoon than monsoon season. As organic carbon
was significantly and positively correlated to electrical
conductivity (r = 0.315; P<0.05) and nitrogen (r = 0.752;
P< 0.01), it was significantly and negatively correlated to
soil moisture (r = -0.334; P<0.01) (Table 3)
Soil respiration
Soil respiration tended to be higher in 0-10 cm
soils and significantly varied between seasons and
among treatments (Fig 1). During premonsoon,
maximum respiration rates were occurred in the 0-10 cm
soils and it was moderate (300 kg ha-1
) and high
(450 kg ha-1
) in potassium fertilized soils. In contrast,
maximum respiration rates in the 10-20 cm soils during
129 Journal of Research in Agriculture (2012) 1(2): 124-135
Thenmozhi et al.,2012
mgCO2.g-1
dm.24
Fig. 1 Influence of nitrogen and potassium fertilization on soil respiration in the two soil layers (L1, L2)
during premonsoon (S1) and monsoon (S2) seasons. Points bearing same letter(s) for a season do not
significantly differ (P<0.05) according to Duncan’s Multiple Range Test
L1
L2
Treatments (Fertilizer dose in kg/ha/y)
premonsoon occurred in soils fertilized with high
nitrogen (450 kg ha-1
). During monsoon, maximum
respiration rates were occurred in the 0-10 cm soils of
treatment involving moderate potassium and high
nitrogen levels (K300 and N450). The respiration rates in
10-20 cm soils during monsoon in fertilized plots were
generally lower compared to unfertilized soils. Soil
respiration was significantly and positively correlated to
soil nitrogen (r=0.325; P<0.001) and potassium
(r =0.309; P<0.05).
Enzyme activities
Application of nitrogen and potassium either
individually or in combinations significantly affected soil
urease activity (Fig 2). Urease activity exhibited different
trends in the two soil layers at different seasons. High
urease activity occurred during premonsoon in 0-10 cm
soils and during monsoon in the 10-20 cm soils.
However, maximum urease activity occurred in soils
fertilized with higher doses of nitrogen and potassium
(N450 and K450) during both the seasons and layers except
in 0-10 cm soils where maximum urease activity was
detected in soils fertilized with low nitrogen and
moderate potassium (N150 and K300). Soil urease activity
was significantly and positively correlated to organic
carbon (r=0.265; P<0.05) and negatively to soil
respiration (r =-0.347; P< 0.01).
Journal of Research in Agriculture (2012) 1(2): 124-135 130
Thenmozhi et al.,2012
Fig. 2 Influence of nitrogen and potassium fertilization on soil urease activity in the two soil layers (L1, L2)
during premonsoon (S1) and monsoon (S2) seasons. Points bearing same letter(s) for a season do not
significantly differ (P<0.05) according to Duncan’s Multiple Range Test
μgN.g-1
dm.2h-1
L1
n p
L1
L2
Treatments (Fertilizer dose in kg/ha/y)
Cellulase activity in the soil differed
significantly among treatments and between seasons and
soil layers (Fig 3). Cellulase activity was higher in 0-10
cm soils during premonsoon season. There was a greater
cellulase activity in both soil layers during both the
seasons at low nitrogen application rates (N150).
However, increasing concentration of nitrogen
fertilization affected cellulase activity to a greater extent
in the 0-10 cm soils than in 10-20 cm soils. A significant
(P<0.05) positive correlation existed between soil
cellulase activity and total soil nitrogen (r = 0.283).
DISCUSSION
Regular nitrogen fertilization of the acid
soil further acidified the soils. The acidification was
more in sulphate of ammonia application during
premonsoon, than in urea application during monsoon.
These are in accordance with the fact that regular
nitrogen fertilization tend to acidify soils (Khonje et al.,
1989; Darusman et al., 1991). Biederbeck et al., (1996)
indicated that application of anhydrous ammonia
lowered soil pH more than urea, which clearly indicates
varied levels of soil acidification by different nitrogen
sources. Furthermore, soil total nitrogen levels were
lower in plots during urea application than sulphate of
131 Journal of Research in Agriculture (2012) 1(2): 124-135
Thenmozhi et al.,2012
Treatments (Fertilizer dose in kg/ha/y)
μgGE.g-1
dm.24h-1
Fig. 3 Influence of nitrogen and potassium fertilization on soil cellulase activity in the two soil layers (L1, L2)
during premonsoon (S1) and monsoon (S2) seasons. Points bearing same letter(s) for a season do not
significantly differ (P<0.05) according to Duncan’s Multiple Range Test
L1
L2
ammonia. Most of the broadcasted urea might have
leached out in heavy monsoon showers, as considerable
loss (10-25%) of nitrogen has been reported to occur due
to leaching or volatilization, if urea was not incorporated
into soil soon after its application (Yang, 1991; Byrnes
and Freney, 1995).
The physico-chemical complexity of soil
contributes significantly to underlying variability in
K+
levels with soil pH, moisture and chemical
composition, all having marked effects (e.g. Maathuis
and Sanders, 1996). In particular, acidic pH leads to
desorption of K+
from anionic binding sites in the soil,
and accounts for the tendency towards higher K+
levels
in acidic soils (Gassmann et al., 1993). The
exchangeable potassium increased with increasing
potassium application rates. It has been thought for a
long time that exchangeable potassium do not built up in
the tea soils of south India, because of the dominance of
Kaolinite clay mineral (Verma, 1997; Venkatesan et al.,
2003). However the presence of other minerals other
than Kaolinitic might contribute to the build up of
potassium in the soil (Venkatesan et al., 2004). In this
study, exchangeable potassium was not related to pH,
moisture or chemical composition of the soil. However,
application of nitrogen significantly reduced soil
potassium which ranged from 18-55% in the 0-10cm
soils and 0-38% in 10-20 cm soils. Application of
nitrogen is known to enhance the growth of tea plants.
An increased plant growth resulting from nitrogen
fertilization tends to increase potassium uptake from the
soil. Studies by The Chinese Tea Research Institute
showed that tea leaves contain 1.2-2.5% potassium (TRI,
1997). So a large amount of potassium is being mined
from the soil system by the tea plants as a result of
increased growth response to nitrogen fertilization
(Tchienkoua and Zech, 2004).
The existence of a significant positive correlation
between soil organic carbon and soil nitrogen indicates
an increasing soil organic carbon content with increasing
nitrogen application rates. This is in accordance with
Venkatesan et al., (2004) who has also reported higher
organic carbon in soils fertilized with nitrogen. Further,
Venkatesan et al., (2004), indicated that natural organic
carbon reserves of tea soil would be lost due to no or
inadequate supply of nitrogen because tea plants tended
to mineralize and absorb nutrients from organic matter in
the soil under nutrient stress conditions. In addition,
other studies indicate an increase in soil organic carbon
with increasing soil acidity (Willett et al., 2004; Kemmitt
et al., 2006). Results from this study tended to indicate
that soil pH and organic carbon were negatively
correlated to each other; but this relation is not
statistically significant. However, when the correlation
analysis was staggered between layers, a significant
negative correlation existed between soil pH and organic
carbon in 0-10 cm soils (r = -0.667; P<0.000), but not in
10-20 cm soils (r = -0.193; P>0.05). This varied relation
between soil organic carbon and pH between layers
could be attributed to soil nitrogen which tended to
strongly influence soil pH than soil potassium.
Correlation coefficient values for soil pH and nitrogen in
0-10 cm soils were higher (r= -0.773) compared to
10-20 cm soils (r = -0.734). These observations are in
line with results of Mc Andrew and Malhi (1992) who
reported an increase in soil organic matter with
increasing soil nitrogen.
Soil respiration rates were within normal ranges
reported for natural soils (Srivastava and Singh, 1991;
Maxwell and Coleman, 1995). Results from this study
tended to show that nitrogen and potassium fertilization
affected soil respiration in 0-10 cm soils more than in the
10-20 cm soils. Results of Chen et al., (2002), also
indicate that nitrogen fertilization reduced soil
respiration in 0-10 cm soils. The low respiration rate
with fertilizer application might be attributable to lower
availability of carbon with decreasing soil pH induced by
the nitrogen application (Thirukkumaran and Parkinson,
2000).
Journal of Research in Agriculture (2012) 1(2): 124-135 132
Thenmozhi et al.,2012
Soil urease activity has been reported to follow
changes in soil factors (Cookson and Lepiece, 1996). In
the present study, fertilizer application generally
increased soil urease activity. This is in agreement with
Venkatesan and Senthurpandian (2006), who also
reported an increased urease activity in fertilized tea
soils. However these observations contrasts the studies of
Dick et al., (1988) and Bandick and Dick (1999) where
soil urease activity was reported to decrease with
increasing application of ammonia based nitrogen
fertilizers. Since urease is a substrate inducible enzyme,
the application of fertilizers especially urea could have
resulted in higher urease activity. Further, the binding of
the urease to organic matter insulating itself from
denaturation and biological degradation by soil humic
polymers (Beri et al., 1978; Baligar and Wright, 1991)
could also attribute to increased level of urease as this
urease could be released from these protected sites by
acid sensitive ammonia oxidizers in response to
fertilization (Martikainen, 1985).
Cellulase activity was higher in the surface layer
(0-10 cm soils) than in the subsoils (10-20 cm soils) and
was positively correlated to soil organic matter.
Fertilization increased soil cellulase activity, which are
in accordance with studies of Aescht and Foissner
(1992).
CONCLUSION
Results from the present study revealed that long
term application of nitrogen and potassium fertilizers
affected soil nutrients and pH. Further these fertilizers
can interact with soil microbial communities in a variety
of ways and consequently disturb their normal
functioning. The use of nitrogenous fertilizers is
inevitable and an essential part of agricultural practices.
In the present study, we determined that long–term
application of higher doses of urea or ammonium
sulphate fertilizers had an inverse effect on pH, moisture,
soil respiration and enzyme activities. Therefore the
maintenance of low rates of nitrogen and potassium
(i.e., < 300 kg-1
ha-1
y-1
) are vital for preserving the soil
quality, as higher doses of nitrogen and potassium
(i.e., > 300 kg-1
ha-1
y-1
), adversely affects the soil quality.
However, the actual mechanisms behind these changes
are difficult to infer and needs further investigation.
ACKNOWLEDGEMENTS
I express my sincere thanks to
Dr. N. Muraleedharan, Director, UPASI Tea Research
Institute, Valparai, Coimbatore District, Tamil Nadu,
India for kind permission to use their experimental plots,
which formed vital foundation for this work. I
acknowledge the invaluable help and support rendered
by Dr. S. Premkumar Samuel Asir, Dr. U.I. Baby and
Dr. S. Venkatesan, Dr. R. Selvasundaram, UPASI Tea
Research Institute, Valparai, Coimbatore District, Tamil
Nadu, India during the course of this study.
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Influence of Long Term Nitrogen and Potassium Fertilization on the Biochemistry of Tea Soil

  • 1. Influence of Long Term Nitrogen and Potassium Fertilization on the Biochemistry of Tea Soil Keywords: Soil enzymes, urease, cellulase, Tea, Soil pH, nitrogen and potassium fertilizers ABSTRACT: As the tea plantation in hilly tracts are located in slopes, the management of fertilizer regimes is somewhat challengeable due to leaching which in turn affect the quality of tea soil. In light of this fact the present study was focused to determine the quality of tea soil in terms of the evaluation of certain physical and biological characteristics as influenced by various dosage of fertilizer applications. The impact of long term nitrogen and potassium fertilization on biochemical characteristics and microbial activities in tea soil has been analyzed in the present study. Different sources and rates of nitrogen (ammonium sulphate and urea), and potassium (muriate of potash) were tested at two soil depths (0-10 cm and 10-20 cm) and for two seasons (premonsoon and monsoon). The acidic tea soil was further acidified with nitrogen application and the extent of acidification varied with the fertilizer type and season. Soil respiration rates were higher in 0-10 cm soils and were positively related to soil nitrogen and potassium concentrations. Among the soil enzymes analyzed, urease activity exhibited different trends in the two soil depths at different seasons. Urease activity tended to increase with increasing potassium application rates, whereas higher cellulase activity was associated with lower nitrogen application rates. This study clearly indicates that the soil quality depends on the fertilizer application rates and season. 124-135 | JRA | 2012 | Vol 1 | No 2 This article is governed by the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/2.0), which gives permission for unrestricted use, non-commercial, distribution and reproduction in all medium, provided the original work is properly cited. www.jagri.info Journal of Research in Agriculture An International Scientific Research Journal Authors: Thenmozhi K1 , Manian S2 and Paulsamy S1 . Institution: 1.Department of Botany, Kongunadu Arts and Science College, Coimbatore 641 029, Tamil Nadu, India. 2. Department of Botany, Bharathiar University, Coimbatore 641 046, Tamil Nadu, India. Corresponding author: Thenmozhi K. Email: thenmozhi_05@yahoo.co.in Phone No: +91- 9942474703. Web Address: http://www.jagri.info documents/AG0029.pdf. Dates: Received: 14 Sep 2012 Accepted: 01 Oct 2012 Published: 06 Oct 2012 Article Citation: Thenmozhi K, Manian Sand Paulsamy S. Influence of Long Term Nitrogen and Potassium Fertilization on the Biochemistry of Tea Soil. Journal of Research in Agriculture (2012) 1(2): 124-135 Original Research Journal of Research in Agriculture JournalofResearchinAgriculture An International Scientific Research Journal
  • 2. INTRODUCTION Tea (Camellia sinensis (L.) O. Kuntz), a perennial shrub, cultivated in acid soil yields one of the most popular non-alcoholic beverage tea which is consumed world-wide for its taste, aroma and health effects. South India contributes about 24% of India’s total tea production. Being a foliage crop, nutrient requirements for commercial tea production are particularly high. Nitrogen and potassium are the two major nutrients of tea without which, commercial production levels are difficult to achieve (Verma, 1993; Verma et al., 2001). In south Indian tea gardens, nitrogen and potassium fertilizers are always applied in combination. There are three different sources of nitrogen, namely ammonium sulphate, urea and calcium ammonium nitrate. However, the choice of potassium is confined to muriate of potash. This soil management has potential impact upon soil biological quality. Nitrogen fertilizers when used on a regular basis tend to acidify soil. Further, long-term nitrogen fertilization has been shown to affect the distribution and the amount of organic carbon, soil microbial biomass and soil enzyme activities (Darusman et al., 1991; Mc Andrew and Malhi, 1992). Thus fertilizers as nutrient sources may have beneficial influence on plants; however, there may be adverse effects especially on microorganisms, as a result of soil acidification. Enzymes catalyze all biochemical reactions and are an integral part of nutrient cycling in soil. Investigations are often limited to few enzymes to show that agricultural management practices affect enzyme activity (Dick, 1994). A wide range of enzymes have not been systematically investigated for their potential to reflect short and long-term soil management effects in relation to soil quality. Although the effect of combined application of nitrogen and potassium fertilizers on biochemical characteristics of tea is well reported (Venkatesan and Ganapathy, 2004; Venkatesan et al., 2005), its effect on soil physico-chemical and biological characteristics are scarce (Venkatesan et al., 2004). Increasing evidence indicates that soil biological parameters may hold potential as early and sensitive indicators of soil health. Microbial characteristics of acid tea soils are reported to be qualitatively different from normal acid soils (Nioh et al., 1993). The objective of the study was to evaluate the long - term impact of fertilizer application on physico-chemical and microbiological properties of selected soil in an experimental tea field receiving fertilizer treatment since 1994. The selection of biological response variables was based upon their relationship to soil function. The soil microbial community inhabits an environment responding to physical, chemical or biological perturbation. Soil biological properties were chosen to represent the soil environment in which the organism must exist (soil organic matter and moisture), the microbial community itself (soil respiration) and biochemical activities of these populations (soil cellulase and urease activity). These biochemical activities were chosen to be a representative of nutrients that influence plant production. MATERIALS AND METHODS Experimental site and design The experimental site was located at United Planters Association of Southern India (UPASI) Tea Research Foundation at Anamallais (10°30’N and 77°0’E, at 1050 m a.s.l.), southern India. The climatic data collected from UPASI Tea Research Institute - Meterological station, Valparai for the past 20 years showed that the site is experiencing an average annual rainfall of 1100 mm and the temperature range of 11-29°C. The investigation was carried out in the long term fertilizer trial plots (10m x 10m) established in 1994 using tea clone SA 6 with 100 bushes/ plot. The duration of the study period was one year from Nov. 2010 to Oct. 2011. 125 Journal of Research in Agriculture (2012) 1(2): 124-135 Thenmozhi et al.,2012
  • 3. Experimental setup The experimental plots were setup to investigate the impacts of nitrogen and potassium fertilization on soil biochemistry and employed a randomized complete block design with three replicate plots for the fifteen treatments and unfertilized control plots. The fifteen treatments included different levels of nitrogen and potassium (150, 300 and 450 kg ha-1 y -1 ) individually and in various combinations. Fertilizers were broadcasted in four split doses in order to avoid volatilization and leaching. Nitrogen was applied as 25% sulphate of ammonia (containing 20% nitrogen) and urea (containing 46% nitrogen). Potassium was applied as muriate of potash (containing 63% potassium). Sulphate of ammonia was broadcasted at the rate of 7.5, 15 and 22.5 kg ha-1 between February and November. Urea at the rate of 17.25, 34.5 and 51.75 kg ha-1 was broadcasted between May and August. Muriate of potash was applied at the rate of 23.63, 47.25 and 70.88 kg ha-1 along with sulphate of ammonia or urea. Other nutrients (Phosphorus, Calcium, Magnesium, Sulphur, Zinc, Manganese and Boron) were applied at recommended rates and regular cultural practices were carried out uniformly in all the plots (Verma and Palani, 1997). Sampling Soil samples were collected during premonsoon (March) and monsoon (June) in 2011. Ten soil cores (5 cm in diameter) at the depths of 0-10 cm (L1 layer) and 10-20 cm (L2 layer) were randomly taken from each plot and bulked. Field moist samples were passed through a 2-mm sieve and divided into two equal parts. One part was used for the determination of soil moisture, pH, electrical conductivity, total nitrogen, exchangeable potassium and organic carbon. The other part was stored at 4°C prior to microbiological assays. Soil analysis Soil moisture content was determined after drying at 105°C to a constant weight. Soil pH and Journal of Research in Agriculture (2012) 1(2): 124-135 126 Thenmozhi et al.,2012 Treatment Moisture(%)pHEC(dSm-1 ) S1S2S1S2S1S2 L1L2L1L2L1L2L1L2L1L2L1L2 N0K011.00bc11.67de18.00def19.00de3.76f3.36h4.69b4.33d0.216i0.248h0.388e0.332e N0K1506.67e-h10.00def19.67b-e21.00bcd3.86d3.65c4.79a4.66a0.277g0.309de0.294h0.304f N0K3008.00de12.00cd19.00b-f21.67bc3.89c3.55d4.60c4.40c0.182j0.211j0.320g0.243i N0K4505.67fgh9.67efg20.33bc21.00bcd4.32a3.82b4.59c4.47b0.178j0.320d0.239i0.214k N150K010.00cd11.33de20.33bc22.67b3.55h3.43f4.25d4.38c0.324e0.249h0.335f0.256h N150K15013.00ab14.00bc20.00bcd21.67bc3.68g3.47e4.26d4.30d0.328e0.225i0.338f0.228j N150K30011.00bc15.67ab21.00b23.00ab3.43k3.39g4.23de4.33d0.360c0.223i0.346f0.257h N150K45014.67a16.33a24.00a25.00a3.82e3.43f4.19f4.31d0.365c0.264g0.421d0.367d N300K07.00efg10.00def18.67c-f19.67cde3.54h3.28i4.20ef4.25e0.245h0.269g0.287h0.299f N300K1508.00de12.00cd17.67ef19.00de3.50i3.28i4.14g4.32d0.389b0.316de0.345f0.326e N300K3005.00gh7.00hi18.33c-f18.00e3.46j3.22j3.86k4.40c0.280g0.352b0.491a0.249hi N300K4504.67h6.00i19.00b-f19.33de4.06b3.97a4.07h4.31d0.304f0.308e0.337f0.420b N450K07.00efg7.67ghi17.67ef20.00cde3.24m3.03k4.04h4.14g0.454a0.432a0.319g0.325e N450K1507.00efg9.67efg18.00def18.00e3.43k3.36h3.98i4.20f0.214i0.266g0.343f0.288g N450K3007.67ef9.00fgh19.33b-e19.67cde3.29l3.21j3.89j4.23ef0.343d0.339c0.473b0.382c N450K4507.33ef9.00fgh17.00f20.00cde3.29l3.23j4.05h4.23ef0.380b0.287f0.452c0.501a Table1Physicalcharactersofsoilfor0-10cmlayer(L1)and10-20cmlayer(L2)duringpremonsoon(S1)andmonsoon(S2)seasonsasinfluencedby nitrogenandpotassiumfertilization. Meansinacolumnforasoillayerfollowedbysameletter(s)donotsignificantlydiffer(P<0.05)accordingtoDuncan’sMultipleRangeTest.
  • 4. electrical conductivity were measured using a digital pH meter (Cyberscan 510, Singapore) and Conductivity Bridge Meter (ORLAB 201, India). Total nitrogen was measured using an autoanalyser (Skalar autoanalyser, Netherlands) after Kjeldahl digestion and distillation. Exchangeable potassium was extracted in ammonium acetate solution (pH 7) and measured using a flame photometer (GENWAY). Total organic carbon was determined according to Nelson and Sommers (1982). The titration method of Jaggi (1976) was used to assess soil respiration. Urease activity was determined according to Kandeler and Gerber (1988) with urea (1M) as a substrate and the values were expressed as µg N.g -1 dm.2h -1 using the calibration curve. Cellulase activity was determined by incubation of soil samples with water-soluble carboxymethylcellulose (Schinner and Von Mersi, 1990) for 24 h at 50°C, pH 5.5. Low molecular products and sugars resulting from the enzymatic degradation of carboxymethylcellulose were used for the quantitative reduction of potassium hexacyanoferrate II to potassium hexacyanoferrate III, which reacts with Fe (III) ammonium sulfate to form a complex known as “Prussian Blue“, which is determined photometrically at 690 nm. Cellulase activity is expressed as µg GE g-1 dm 24 h -1 . Statistical analysis All data were subjected to analysis of variance (ANOVA) (IRRISTAT, version 3/93) and Duncan’s Multiple Range Test (P<0.05) was used to separate the means when the differences were significant. Pearson’s correlation analysis was used to assess the relationship between soil and microbial variables. The latter analysis was carried out in SPSS 9.0. RESULTS Soil properties Soil in the experimental plots were clayey loam and fertilizer application had a profound influence on soil moisture. As expected, soil moisture was 127 Journal of Research in Agriculture (2012) 1(2): 124-135 Thenmozhi et al.,2012 Treatment Totalnitrogen(%)Exchangeablepotassium(mgkg-1 l)Organiccarbon(%) S1S2S1S2S1S2 L1L2L1L2L1L2L1L2L1L2L1L2 N0K00.37hi0.29ef0.27fg0.24b155.21h101.83i162.65i107.43k4.83h3.26h3.99h3.55f N0K1500.36i0.31de0.29efg0.14e248.45d186.88e228.20d197.43d5.24f3.69e4.06h3.63e N0K3000.40def0.34abc0.24h0.19c259.83c223.59c217.85e157.78e5.07g3.39g4.37g3.00j N0K4500.38fgh0.27g0.27g0.19c323.70b246.72b281.22b259.77b4.79h3.82d4.91e4.10c N150K00.38ghi0.28fg0.28fg0.16de136.95j93.35j123.02m115.33i5.00g3.32g4.45g3.08i N150K1500.47a0.31de0.29ef0.15e141.50i80.88l137.43k115.33i6.07a3.84d3.90i3.20h N150K3000.38ghi0.28fg0.27g0.31a159.83g119.18g197.20f143.36f5.34e3.33gh5.27c3.39g N150K4500.42bcd0.27fg0.38b0.30a442.71a313.23a370.01a265.10a5.04g3.80d5.85b3.86d N300K00.42cde0.33bcd0.37b0.25b76.80n60.86n67.28p88.53m5.46d4.00c4.00h4.02c N300K1500.42cd0.29efg0.36bc0.31a106.12l80.88l92.90o106.25l5.50cd3.78d5.19c4.96a N300K3000.39fg0.35a0.36bc0.24b128.02k114.79h152.95j119.92h5.69b4.37a5.93b3.71e N300K4500.43bc0.31de0.31de0.25b217.02f202.44d192.39g138.61g5.27ef3.59f4.64f3.28h N450K00.44b0.35ab0.38ab0.16de80.88m73.80m101.76n55.10o5.46d3.94c5.03d3.82d N450K1500.43bc0.32cd0.35c0.16de128.02k85.00k129.20l75.65n6.01a4.10b4.37g3.28h N450K3000.40efg0.33abc0.33d0.24b128.02k80.88l187.37h110.77j5.56c4.29a5.19c4.33b N450K4500.44bc0.34abc0.40a0.17cd223.59e180.88f270.01c201.76c6.08a4.35a6.08a4.29b Meansinacolumnforasoillayerfollowedbysameletter(s)donotsignificantlydiffer(P<0.05)accordingtoDuncan’sMultipleRangeTest. Table2Chemicalcharactersofsoilfor0-10cmlayer(L1)and10-20cmlayer(L2)duringpremonsoon(S1)andmonsoon(S2)seasonsasinfluencedbynitrogenand potassiumfertilization.
  • 5. significantly higher during monsoon and was affected by fertilization. Similarly, the L2 layer was moister than the L1 layer during both the seasons. For premonsoon period, it ranged between 4.67-14.67% (L1) and 6.00-16.33% (L2), respectively. On the other hand, it registered 17.00-24.00% (L1) and 18.00-25.00 % (L2) of mixture for monsoon seasons (Table 1). Soil moisture was higher in unfertilized soils during both seasons, but progressively decreased with fertilizer application rates, especially nitrogen (300 and 450 kg ha-1 ). A significant difference in soil pH was evident between layers, seasons and most treatments. Soils fertilized with potassium had higher pH values, the exception being the 0-10 cm soils fertilized with 300 and 450 kg ha-1 of potassium. In contrast, soils fertilized with nitrogen had the lowest pH values, and this drop in pH was more evident in the top 0-10 cm soils than in 10-20 cm soils. Soil pH correlated positively with soil moisture levels (r = 0.737; P<0.01) (Table 1, 3). Like pH, soil electrical conductivity also exhibited significant differences between treatments, seasons and layers. During premonsoon, soils fertilized with nitrogen had either almost similar or significantly higher electrical conductivity values. In contrast during monsoon, soil in nitrogen fertilized plots had decreased electrical conductivity values compared to unfertilized plots (Table 1). Total soil nitrogen and exchangeable potassium significantly differed between seasons, layers and among treatments (Tables 2 and 3). The percentage nitrogen content of the tea soil was higher during premonsoon period (S1) when compared to the monsoon season (S2). Similarly, the nitrogen content of L1 layer was higher when compared to their respective L2 layer. Further the application of nitrogen fertilizer at different doses enhanced the available nitrogen in L1 layer concomitantly (Table 2). The exchangeable potassium level was comparable between premonsoon (S1) and monsoon (S2) seasons and it fluctuated between different Journal of Research in Agriculture (2012) 1(2): 124-135 128 Thenmozhi et al.,2012 SourceofvariationdfMoisture(%)pHEC(dSm-1 ) Soilnutrients Totalnitrogen(%)Exchangeable potassium(mgkg-1 l) Organiccarbon(%) Treatment(T)15,12834.25**1549.14**74.64**49.53**1299822839.47**23.06** Layer(L)1,128100.92**583.84**928.33**3078.56**1627574891.37**156.62** Season(S)1,1283306.72**84721.78**1598.55**2385.60**911800.35**64.56** TxL15,1281.39228.48**175.49**28.54**40106426.78**11.13** TxS15,1287.16**379.04**275.21**37.60**50173100.71**21.50** LxS1,1288.33**3351.83**266.86**2.052953962.16**140.98** TxLxS5,1281.2474.64**196.65**29.49**14858168.87**16.02** Table3F-Valuesofvarioussoilphysicochemicalcharactersasinfluencedbynitrogenandpotassiumfertilization. **and***significantatP<0.01andP<0.001respectively.
  • 6. treatment plots in the range of 55.1 and 442.7 mg/ kg dry soil. However, the potassium content was comparably higher in the L1 layer than the L2 layer. The application of increasing doses of muriate of potash in the different experimental plots resulted in the enhanced amount of potassium content in both L1 and L2 layers (Table 2). Generally nitrogen content in the 0-10 cm soils was higher when compared to their respective 10-20 cm soils. Exchangeable potassium was lower in nitrogen fertilized soils than unfertilized soils. Soil nitrogen was significantly (P<0.01) and negatively correlated to soil moisture (r = -0.627) and pH (r = -0.518). In contrast, soil potassium and pH had a significant and positive correlation (r = 0.267; P<0.05). Organic carbon was higher in the 0-10 cm soils than in 10-20 cm soils and significantly varied with fertilization and seasons. Generally, organic carbon was higher during premonsoon than monsoon season. As organic carbon was significantly and positively correlated to electrical conductivity (r = 0.315; P<0.05) and nitrogen (r = 0.752; P< 0.01), it was significantly and negatively correlated to soil moisture (r = -0.334; P<0.01) (Table 3) Soil respiration Soil respiration tended to be higher in 0-10 cm soils and significantly varied between seasons and among treatments (Fig 1). During premonsoon, maximum respiration rates were occurred in the 0-10 cm soils and it was moderate (300 kg ha-1 ) and high (450 kg ha-1 ) in potassium fertilized soils. In contrast, maximum respiration rates in the 10-20 cm soils during 129 Journal of Research in Agriculture (2012) 1(2): 124-135 Thenmozhi et al.,2012 mgCO2.g-1 dm.24 Fig. 1 Influence of nitrogen and potassium fertilization on soil respiration in the two soil layers (L1, L2) during premonsoon (S1) and monsoon (S2) seasons. Points bearing same letter(s) for a season do not significantly differ (P<0.05) according to Duncan’s Multiple Range Test L1 L2 Treatments (Fertilizer dose in kg/ha/y)
  • 7. premonsoon occurred in soils fertilized with high nitrogen (450 kg ha-1 ). During monsoon, maximum respiration rates were occurred in the 0-10 cm soils of treatment involving moderate potassium and high nitrogen levels (K300 and N450). The respiration rates in 10-20 cm soils during monsoon in fertilized plots were generally lower compared to unfertilized soils. Soil respiration was significantly and positively correlated to soil nitrogen (r=0.325; P<0.001) and potassium (r =0.309; P<0.05). Enzyme activities Application of nitrogen and potassium either individually or in combinations significantly affected soil urease activity (Fig 2). Urease activity exhibited different trends in the two soil layers at different seasons. High urease activity occurred during premonsoon in 0-10 cm soils and during monsoon in the 10-20 cm soils. However, maximum urease activity occurred in soils fertilized with higher doses of nitrogen and potassium (N450 and K450) during both the seasons and layers except in 0-10 cm soils where maximum urease activity was detected in soils fertilized with low nitrogen and moderate potassium (N150 and K300). Soil urease activity was significantly and positively correlated to organic carbon (r=0.265; P<0.05) and negatively to soil respiration (r =-0.347; P< 0.01). Journal of Research in Agriculture (2012) 1(2): 124-135 130 Thenmozhi et al.,2012 Fig. 2 Influence of nitrogen and potassium fertilization on soil urease activity in the two soil layers (L1, L2) during premonsoon (S1) and monsoon (S2) seasons. Points bearing same letter(s) for a season do not significantly differ (P<0.05) according to Duncan’s Multiple Range Test μgN.g-1 dm.2h-1 L1 n p L1 L2 Treatments (Fertilizer dose in kg/ha/y)
  • 8. Cellulase activity in the soil differed significantly among treatments and between seasons and soil layers (Fig 3). Cellulase activity was higher in 0-10 cm soils during premonsoon season. There was a greater cellulase activity in both soil layers during both the seasons at low nitrogen application rates (N150). However, increasing concentration of nitrogen fertilization affected cellulase activity to a greater extent in the 0-10 cm soils than in 10-20 cm soils. A significant (P<0.05) positive correlation existed between soil cellulase activity and total soil nitrogen (r = 0.283). DISCUSSION Regular nitrogen fertilization of the acid soil further acidified the soils. The acidification was more in sulphate of ammonia application during premonsoon, than in urea application during monsoon. These are in accordance with the fact that regular nitrogen fertilization tend to acidify soils (Khonje et al., 1989; Darusman et al., 1991). Biederbeck et al., (1996) indicated that application of anhydrous ammonia lowered soil pH more than urea, which clearly indicates varied levels of soil acidification by different nitrogen sources. Furthermore, soil total nitrogen levels were lower in plots during urea application than sulphate of 131 Journal of Research in Agriculture (2012) 1(2): 124-135 Thenmozhi et al.,2012 Treatments (Fertilizer dose in kg/ha/y) μgGE.g-1 dm.24h-1 Fig. 3 Influence of nitrogen and potassium fertilization on soil cellulase activity in the two soil layers (L1, L2) during premonsoon (S1) and monsoon (S2) seasons. Points bearing same letter(s) for a season do not significantly differ (P<0.05) according to Duncan’s Multiple Range Test L1 L2
  • 9. ammonia. Most of the broadcasted urea might have leached out in heavy monsoon showers, as considerable loss (10-25%) of nitrogen has been reported to occur due to leaching or volatilization, if urea was not incorporated into soil soon after its application (Yang, 1991; Byrnes and Freney, 1995). The physico-chemical complexity of soil contributes significantly to underlying variability in K+ levels with soil pH, moisture and chemical composition, all having marked effects (e.g. Maathuis and Sanders, 1996). In particular, acidic pH leads to desorption of K+ from anionic binding sites in the soil, and accounts for the tendency towards higher K+ levels in acidic soils (Gassmann et al., 1993). The exchangeable potassium increased with increasing potassium application rates. It has been thought for a long time that exchangeable potassium do not built up in the tea soils of south India, because of the dominance of Kaolinite clay mineral (Verma, 1997; Venkatesan et al., 2003). However the presence of other minerals other than Kaolinitic might contribute to the build up of potassium in the soil (Venkatesan et al., 2004). In this study, exchangeable potassium was not related to pH, moisture or chemical composition of the soil. However, application of nitrogen significantly reduced soil potassium which ranged from 18-55% in the 0-10cm soils and 0-38% in 10-20 cm soils. Application of nitrogen is known to enhance the growth of tea plants. An increased plant growth resulting from nitrogen fertilization tends to increase potassium uptake from the soil. Studies by The Chinese Tea Research Institute showed that tea leaves contain 1.2-2.5% potassium (TRI, 1997). So a large amount of potassium is being mined from the soil system by the tea plants as a result of increased growth response to nitrogen fertilization (Tchienkoua and Zech, 2004). The existence of a significant positive correlation between soil organic carbon and soil nitrogen indicates an increasing soil organic carbon content with increasing nitrogen application rates. This is in accordance with Venkatesan et al., (2004) who has also reported higher organic carbon in soils fertilized with nitrogen. Further, Venkatesan et al., (2004), indicated that natural organic carbon reserves of tea soil would be lost due to no or inadequate supply of nitrogen because tea plants tended to mineralize and absorb nutrients from organic matter in the soil under nutrient stress conditions. In addition, other studies indicate an increase in soil organic carbon with increasing soil acidity (Willett et al., 2004; Kemmitt et al., 2006). Results from this study tended to indicate that soil pH and organic carbon were negatively correlated to each other; but this relation is not statistically significant. However, when the correlation analysis was staggered between layers, a significant negative correlation existed between soil pH and organic carbon in 0-10 cm soils (r = -0.667; P<0.000), but not in 10-20 cm soils (r = -0.193; P>0.05). This varied relation between soil organic carbon and pH between layers could be attributed to soil nitrogen which tended to strongly influence soil pH than soil potassium. Correlation coefficient values for soil pH and nitrogen in 0-10 cm soils were higher (r= -0.773) compared to 10-20 cm soils (r = -0.734). These observations are in line with results of Mc Andrew and Malhi (1992) who reported an increase in soil organic matter with increasing soil nitrogen. Soil respiration rates were within normal ranges reported for natural soils (Srivastava and Singh, 1991; Maxwell and Coleman, 1995). Results from this study tended to show that nitrogen and potassium fertilization affected soil respiration in 0-10 cm soils more than in the 10-20 cm soils. Results of Chen et al., (2002), also indicate that nitrogen fertilization reduced soil respiration in 0-10 cm soils. The low respiration rate with fertilizer application might be attributable to lower availability of carbon with decreasing soil pH induced by the nitrogen application (Thirukkumaran and Parkinson, 2000). Journal of Research in Agriculture (2012) 1(2): 124-135 132 Thenmozhi et al.,2012
  • 10. Soil urease activity has been reported to follow changes in soil factors (Cookson and Lepiece, 1996). In the present study, fertilizer application generally increased soil urease activity. This is in agreement with Venkatesan and Senthurpandian (2006), who also reported an increased urease activity in fertilized tea soils. However these observations contrasts the studies of Dick et al., (1988) and Bandick and Dick (1999) where soil urease activity was reported to decrease with increasing application of ammonia based nitrogen fertilizers. Since urease is a substrate inducible enzyme, the application of fertilizers especially urea could have resulted in higher urease activity. Further, the binding of the urease to organic matter insulating itself from denaturation and biological degradation by soil humic polymers (Beri et al., 1978; Baligar and Wright, 1991) could also attribute to increased level of urease as this urease could be released from these protected sites by acid sensitive ammonia oxidizers in response to fertilization (Martikainen, 1985). Cellulase activity was higher in the surface layer (0-10 cm soils) than in the subsoils (10-20 cm soils) and was positively correlated to soil organic matter. Fertilization increased soil cellulase activity, which are in accordance with studies of Aescht and Foissner (1992). CONCLUSION Results from the present study revealed that long term application of nitrogen and potassium fertilizers affected soil nutrients and pH. Further these fertilizers can interact with soil microbial communities in a variety of ways and consequently disturb their normal functioning. The use of nitrogenous fertilizers is inevitable and an essential part of agricultural practices. In the present study, we determined that long–term application of higher doses of urea or ammonium sulphate fertilizers had an inverse effect on pH, moisture, soil respiration and enzyme activities. Therefore the maintenance of low rates of nitrogen and potassium (i.e., < 300 kg-1 ha-1 y-1 ) are vital for preserving the soil quality, as higher doses of nitrogen and potassium (i.e., > 300 kg-1 ha-1 y-1 ), adversely affects the soil quality. However, the actual mechanisms behind these changes are difficult to infer and needs further investigation. ACKNOWLEDGEMENTS I express my sincere thanks to Dr. N. Muraleedharan, Director, UPASI Tea Research Institute, Valparai, Coimbatore District, Tamil Nadu, India for kind permission to use their experimental plots, which formed vital foundation for this work. I acknowledge the invaluable help and support rendered by Dr. S. Premkumar Samuel Asir, Dr. U.I. Baby and Dr. S. Venkatesan, Dr. R. Selvasundaram, UPASI Tea Research Institute, Valparai, Coimbatore District, Tamil Nadu, India during the course of this study. REFERENCES Aescht E and Foissner W. 1992. Effects of mineral and organic fertilizers on the micro fauna in a high-altitude reafforestation trial. Biology and Fertility of Soils 13:17-24. Baligar VC and Wright RJ. 1991. Enzyme activities in Appalachian soils: I. Aryl-sulfatase. Communications in Soil Science and Plant Analysis 22:305-314. Bandick AK and Dick RP. 1999. Field management effects on soil enzyme activities. Soil Biology and Biochemistry 31:1471-1479. Beri V, Goswami KP, Brar SS. 1978. Urease activity and its Michaelis constant for soil systems. Plant and Soil 49:105-115. Biederbeck VO, Campbell CA, Ukrainetz H, Curtin D, Bouman OT. 1996. Soil microbial and biochemical properties after ten years of fertilization with urea and anhydrous ammonia. Canadian Journal of Soil Science 133 Journal of Research in Agriculture (2012) 1(2): 124-135 Thenmozhi et al.,2012
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