Introduction
In the People’s
Republic of China, the North East area is one of the most important maize (Zea
mays L., Fam.: Poaceae) growing areas. It
produces annually more than 35% of country’s total maize production and
occupies 31% of maize growing areas of China (Fan et
al. 2018). Residues produced after
harvesting and processing of maize grains are important renewable resources.
But managing this huge amount of maize residues is a big challenge. The
annual production of maize residue has been estimated
239 mio MT/y. From this huge stock, only 23% of the residues are used for
forage, 4% for industry materials and 0.5% for biogas generation. The rests of
the production are then discarded and even directly burnt in the field (Liu et
al. 2008).
After
harvesting, straws
returning into the soil are beneficial and
can be considered as an important management practice (Zhang et
al. 2014, 2016b; Wang et
al. 2015a; Yin et
al. 2018). It increases the input of
nutrients and carbon storage in the top soil (Choudhury et al.
2014; Zhang et al.
2016a). Thereby, opens a great deal of potential in enhancing soil fertility,
soil organic matter (SOM) content and microbial population (Lal 2004; Powlson et
al. 2008). Al these activities help
improving the soil structure (Zhang et
al. 2008), especially the soil porosity
(Wuest 2007). Unfortunately, in the northeast of China, leaving residues onto
the soil surface would not be efficient for soil quality improvement. Because
the left-out
straw,
the field could not be decomposed completely under
the low temperature (Wang et al.
2012). Moreover, maize straw returning to the field would lead to an exhaustion
of soil moisture, and be harmful to the seed germination of the next crop (Liu
2014). Incorporating the straw into the subsurface
soil may decrease the adverse effect in crop seeding and enhance the soil
organic carbon (SOC) stabilization (Choudhury et
al. 2014). This may be considered as a
beneficial practice for the improvement of environment in the northeastern
region of China (Kuang et
al. 2014; Wang et
al. 2015b; Yang et
al. 2016;
Chen et al.
2017).
For the cultivated lands in the
northeastern China, the soil organic status can be maintained at a relatively
stable level after being returned the crop residues to the field. However, there are some strong physical constraints such as
existence of hard pan below the plough layer at 20 cm depth. It limits the
development of the root system. On the other hand, it was observed that because
of low temperature the straw applied into the plough
layer, decomposes slowly over a long winter. So, it hinders the seedling
activity for the next planting season. However, putting the straw residues into
the deeper part of the soil is a widespread practice in this region (Kuang et al. 2014). The process helps in improving fertility of the deep soil. This
very concept actually helped to develop the present research plan. In order to understand the
effects of burying residues in the cultivated fields of northeastern China, a
field experiment was needed to be carried out. The
basis of this experiment would be to put straw residues into the soil at
different layers, and to measure the evolution of indicators of SOM dynamics.
We hypothesized that, (i) the localization in deep horizons can accelerate the
speed of maize straw decomposition due to temperature
effect, (ii) the soil properties and microbial characteristics respond
differently after straw return to different soil layers. In order to test the
components of this hypothesis, the specific objectives
for the present research undertaken, were: to return maize straw to different
soil depths, to make sure that the straw biomass decomposition is accelerated
into deep than surface of soil and to make sure that the process enhances the
storing of straw carbon in deep soil and improves the
soil nutrient content.
Materials and Methods
All the
experiments for the present research were carried out in the micro-area test of
the Academy of Agricultural Sciences of Heilongjiang, Northeast of China. The
planting was done in the crop growing season ranging from May 26, 2015 to May
26, 2018. The average annual precipitation and temperature of the region were
553.5 mm and 3.6°C,
respectively. Effective accumulated temperature is 2580 degrees Celsius and the frost-free season is about 135–140
d. Some of the soil chemical and straw properties in the study area have been
presented in Table 1.
Mesh bags were
used for the decomposition experiment. Maize straw (MS) was collected during harvesting time of September. Specifically, 50 g of dried
maize straw were chopped into about 2–5
cm lengths in each bag (300 meshes).
The amount of straw in the bags was
selected according to the total maize straw biomass by the year which was about
7500 kg/hm2.
Urea was used to adjust the C/N ratio to 25:1 and field capacity was adjusted
to 60%. Bags were placed in four different soil horizons. The depths of the
horizons for burying the MS were: D0,
D1
D2
and D3 Triplicate
samples of bags were collected after 30, 45, 60, 90,
120 d and after 1, 2 and 3 y from the beginning of the experiment. At the same time,
the soil of the upper and lower 5 cm of the mesh bags was
also sampled. Immediately after sampling, part of the soil was sieved (1 mm
mesh) and used for the analysis of enzyme activities
and soil microbial biomass. The other part of the soil was air-dried and sieved
(2 and 0.15 mm
mesh) to test its chemical properties. Before the chemical analysis, the maize
straw samples were oven dried at 60°C without
washing. After this a definite volume of it weighed and the residual rate of
straw was calculated. The samples were crushed to determine the straw organic
carbon, lignin and cellulose contents. The Residue percentage of the straw was
calculated using the formula St/50×100
(where, S is the residual mass of straw (g) and 50 is the original straw mass
(g), t is the different sampling time).
By
putting thermometer at soil layers of 5, 10, 15, 20 and 25 cm, the temperature
was recorded on the sampling dates.
The
above-mentioned oven dried straw sample (unwashed, 60°C) was smashed through a
100 mesh sieve and used for the
determination of total organic carbon (TOC) (Multi N/C 2100 TOC total organic
carbon/total nitrogen analyzer).
The
density fraction of soil organic carbon (SOC) refers to Golchin et al. (1998). In it, SOC was divided into free
light fraction (LF), occluded light fraction (O-LF) and heavy fraction (HF).
The methodology in brief follows: 5 g of air-dried
soil was homogenized with 25 mL NaI solution (gravity 1.8 g·cm-3) in a 50 mL centrifuge tube. The sample was
gently shaken and let stand overnight at room temperature. Next day, it was
centrifuged at 3500 rpm for 15 min. The supernatant was poured out; 50 mL of NaI was added to it and
centrifuged again. This process was repeated twice. The residue was finally
washed by 25 mL 0.01 mol L-1 CaCl2 and 50 mL of distilled water, then dried
on a water bath below 60°C
and
weighed. This dried part was LF. The extraction
process was continued by adding 25 mL NaI solution to the residue
material in the centrifuge tube, shaken and centrifuged for twice. This part
was O-LF. Thirdly, 25 mL distilled water was added,
shaking done for 20 min and then centrifuged at 4000
rpm for 20 min. The precipitation in
the tube was repeatedly washed with 95% ethanol to
colorless and was put into an oven below 40℃ and dried to a constant
weight. This
part was HF. All dried parts passed through 0.25 mm sieve and analysed for
organic carbon by wet oxidation method with K2CrO7
at 170–180°C.
Soil microbial
biomass was determined by chloroform fumigation method (Vance et
al. 1987). However, for the determination
of soil microbial biomass carbon (SMBC) and soil microbial biomass nitrogen
(SMBN) potassium dichromate oxidation method and
Kjeldahl method were used, respectively.
Urease
determination was carried out by indophenol blue colorimetry method. And 3,
5-dinitrosalicylic acid colorimetry was used for the determination of sucrase
enzyme (Guan 1987).
The
soil urease activity was determined by sodium
phenolate-sodium hypochlorite colorimetric method, and the data was expressed
as milligrams of NH3-N
produced per gram of soil at 24 h. On the other hand, the soil sucrase activity
was determined by 3, 5-dinitrosalicylic acid colorimetric method. The
data were expressed as
Fig. 1: The soil moisture (H2O%) and temperature in the 5, 10,
15, 20 and 25 cm soil layers at the sampling days
Fig. 2: Maize straw residue at different soil depths D0 (0-5 cm), D1 (5–15 cm), D2 (15–30 cm) and D3 (30–45 cm) versus time during the three years of study period
milligrams
of glucose produced per gram of soil at 24 h (Guan 1987).
All the
statistical analysis of the data was subjected to ANOVA using the Statistical Package for Social Science (SPSS 17.00).
Significant difference among means was identified using Duncan (D) test at P < 0.05.
Results
Fig.
2 shows the effect of straw decomposition on straw residue over time and soil depth. When different soil depths are
compared, accelerated straw decomposition was evident in the deeper part of the
tested soil. D0 treatment, which is a surface
soil showed a different response. At this level (Do) 68.7% of the mass was still left at the end of the experiment. While the other
treatments at deeper soil layers (D1–D3) had almost similar average
straw residue (10.4–14.0%). Compared with the whole
stage of decomposition, there was a fast stage which just began before 90 days (Fig. 2).
Fig. 4 showed the mineralization pattern of maize straw organic
carbon at different soil depths over time. The effects of depth and time on the
mineralization process are very clear. The organic carbon
content of the straw put into deep soil is higher. It means at those depths the
straw keeping more carbon. On the other hand, straw left on the top of soil
(Do) keeps less organic carbon. D3 treatment had more organic
carbon content than D2 and D1. After 1 year of decomposition, D3,
D2 and D1 were higher than D0
by 50.5, 58.3 and 65.1%, respectively. It indicated a significant difference
between D0 and other deep straw returning treatments.
All the carbon
fractions had a declined trend from the top soil to
the deep soil layers. At day of 1 year after straw returning, the content of LF
group in D3
treatment were stable, but it declined with sampling time. This trend Table 1: Soil and straw properties of
this experiment
Soil |
Organic C g kg-1 |
SMBC g kg-1 |
Hydrolysable N mg kg-1 |
Available P mg kg-1 |
Available K mg kg-1 |
pH |
50.8 |
268.1 |
103.1 |
70.8 |
167.7 |
6.62 |
|
straw |
Organic C g kg-1 |
Total N g kg-1 |
Total P g kg-1 |
Total K g kg-1 |
C/N ratio |
|
428.4 |
11.2 |
4.4 |
5.6 |
36.8 |
|
Table 2: The soil carbon fractions of different soil layers with the
decomposing days, which D0 (0–5
cm), D1 (5–15
cm), D2 (15–30 cm) and D3 (30–45 cm)
|
|
30 d |
60 d |
90 d |
120 d |
360 d |
LF |
D 0 |
89.07
± 19.43a |
127.95
± 6.00a |
51.84
± 0.76c |
106.83
± 8.89b |
117.44
± 12.12a |
|
D 1 |
110.55
± 16.75a |
51.83
± 1.74c |
68.06
± 3.22b |
164.91
± 33.67a |
83.11
± 16.49b |
|
D 2 |
99.21
± 9.34a |
77.69
± 2.88b |
69.41
± 8.08b |
104.77
± 12.16b |
91.47
± 10.49ab |
|
D 3 |
42.83
± 1.64b |
58.28
± 7.87c |
91.94
± 5.29a |
58.78
± 7.15c |
97.31
± 20.24ab |
O-LF |
D 0 |
115.17
± 19.92a |
102.79
± 14.94ab |
52.40
± 0.63b |
88.23
± 10.99b |
95.80
± 6.31a |
|
D 1 |
115.66
± 3.32a |
67.29
± 21.61c |
84.17
± 10.97a |
84.76
± 10.27b |
53.56
± 1.01bc |
|
D 2 |
118.43
± 9.65a |
130.88
± 17.98a |
58.42
± 2.19b |
117.43
± 4.57a |
34.94
± 25.40c |
|
D 3 |
51.28
± 4.34b |
89.87
± 14.17bc |
78.82
± 10.24a |
72.37
± 17.26b |
78.38
± 3.62ab |
HF |
D 0 |
13.71
± 0.73b |
13.00
± 0.23c |
14.12
± 0.39a |
15.17
± 0.50a |
13.27
± 0.54a |
|
D 1 |
13.95
± 0.47ab |
14.66
± 0.08a |
13.50
± 0.25b |
15.23
± 0.89a |
12.35
± 0.84a |
|
D 2 |
14.77
± 0.14a |
13.77
± 0.50b |
14.22
± 0.19a |
14.50
± 0.45a |
13.36
± 0.19a |
|
D 3 |
9.06 ± 0.35c |
14.33
± 0.22ab |
14.00
± 0.35ab |
14.20
± 0.42a |
13.02
± 0.61a |
Table 3: The correlation analysis between soil organic carbon and
other factors
|
SMBC |
C/N |
SMBN |
Urease |
Sucrase |
Temp. |
Moisture |
Z score (SOC) |
-0.270 |
0.819** |
-0.202 |
0.352 |
0.353 |
0.508* |
-0.060 |
Z score (SMBC) |
|
-0.282 |
-0.166 |
0.068 |
-0.444 |
0.066 |
0.220 |
Z score (C/N) |
|
|
-0.090 |
0.390 |
0.433 |
0.319 |
-0.336 |
Z score (SMBN) |
|
|
|
-0.151 |
0.212 |
-0.161 |
-0.155 |
Z score (Urease) |
|
|
|
|
0.200 |
0.119 |
-0.130 |
Z score (Sucrase) |
|
|
|
|
|
0.276 |
-0.555* |
Z score (Tem.) |
|
|
|
|
|
|
0.129 |
**Correlation
is significant at the 0.01 level (2-tailed), *. Correlation is significant at
the 0.05 level (2-tailed). N=20
indicated
that the LF group was faster than others in the process of decomposition. It can also be seen from these data that the existence of
light organic carbon is unstable. The O-LF was the physical protection
components of soil organic carbon because it exists
as randomly distributed between soil aggregates. From Table 2,
Fig. 1 in
30 days of straw putting, O-LF content of D0,
D1
and D2
were significantly increased than D3
treatments; while
the latter did not change too much. The soil heavy organic carbon
humidification degree is higher. Because soil organic carbon combining with
different graded mineral particles form
organic-inorganic compounds. It reflects the ability to hold soil organic
carbon, ascertains the stability of soil carbon and soil quality. All these
play significant roles in the mobilization of soil organic carbon. It showed that the HF content did not vary among all the soil
depths after decomposing for 1 year.
The SMBC and SMBN
content have been plotted in Fig. 3.
From the Fig. it
is seen that the straw lignin and cellulose decreased
with sampling days. The
straw lignin of D0
treatment was lowest than all other treatments.
We
could find the change of SMBC not obvious except D2
treatment which had a high SMBC value and occurred from 90–120
d and also had a peak in the whole sampling period.
The content was higher than D0,
D1
and D3
by 43.7, 24.3 and 23.8%, respectively (Fig. 3).
D0
had a lowest content in all the soil horizons and there was no significant
difference between D1
and D3
throughout the whole period of the experiment. In the
D2
treatment and at 120 d of the experimental period, the SMBN value was also
higher. There was no significant difference with D0,
D1
and D3
treatments. There was a positive, linear, and significant relationships between
SMBC and SMBN (y=-2.087-0.1636x, R-sq=0.88%, P < 0.01).
Regression analysis showed that the retention rate increased significantly with
time.
Fig. 3: The relationship between soil
microbial carbon and Nitrogen. (a) And SMBC with maize straw returning to different soil
depths, which D0 (0-5 cm), D1(5-15 cm), D2 (15-30 cm) and D3 (30-45 cm). For (b), SMBN with
maize straw returning to different soil depths, which D0 (0-5 cm), D1(5-15 cm), D2 (15-30 cm) and D3 (30-45 cm), (c) is the correlation
between SMBC and SMBN
Straw
incorporation into the soil could increase the urease and sucrase content in
the different soil depths (Fig. 5).
There was a significant difference with straw incorporation and not incorporation in D0,
D1
and D2
treatments (P < 0.05).
But this difference was not significant in D3
experiment. Sucrase did not show significant difference in different treatments
but showed a downward trend with soil depths.
After
standardizing the results of the correlation analyses for all the soil
indicators and as presented in Table 3,
it has been seen that SOC significantly and positively correlated with C/N
(0.819) and temperature (0.508). On the other hand, sucrase correlated negatively and significantly with moister (-0.555).
Fig. 4: The straw organic carbon of different soil layers with the
decomposing days, which D0 (0-5 cm), D1 (5-15 cm), D2 (15-30 cm) and D3 (30-45 cm)
Fig. 5: The different content of Urease and Sucrase between straw return to the soil and
not, which D0 (0-5 cm), D1 (5-15 cm), D2 (15-30 cm) and D3 (30-45 cm)
Discussion
After three-year
of the maize straw return to the experimental fields, those applied at 5–45
cm was completely decomposed. But,
the straws on the top soil layer were
partially decomposed. The residues of D1,
D2
and D3
treatments were reached to less than 20% and declined dramatically than D0
treatment. But correlation analysis showed no significant differences among the D1,
D2
and D3
treatments. Straws returned into deep soil have
been recommended as an effective method to reduce the straw biomass (Zou et
al. 2016; Yang et
al. 2016).
Crop
straw is a source of organic carbon that can influence the balance of SOC
accumulation and decomposition (Bakht
et al. 2009), especially the LOCF (Malhi et
al. 2011). There had been some other
reports about straw mulch that showed positive (Whitbread et
al. 2003), or no obvious (Xu et
al. 2011) or negative effects (Ma et
al. 2013) in 1–2 year
experiments. Generally, maize straw returning to deep soil had benefited for
decomposition and carbon storage in Northeast of China (Lal 2004; Wu et
al. 2016). Kuang et
al. (2014) showed a regularity in the decomposition of straw which
showed a fast rate in the early stage but went into
slow in the later stage. The decomposition of straw under buried condition
showed 9–20% higher than those mulched on soil. But
the straws were buried only at 20 cm soil layer without considering the effect
of seeding for the next year. In
the present research similar results were shown. The
straw returning to the deep soil (D1–D3)
treatments showed beneficial effects for straw decomposition (70–80%).
The reasons were that the soil layers had a good condition about moisture, temperature and more microorganisms for straw
decomposition (Zou et al.
2016). At the stage of 30 d of straw incorporation into the experimental soil,
the decomposition rate reached in peak.
The
C/N ratio is an important factor which effects the decomposition
of maize straw (Billings 2006). A
C/N ratio of 25:1 facilitates the maize straw decomposition and the release of
N (Chan et al.
2002). On the other hand, a suitable C/N ration could increase crop production
(Li et al.
2016). Therefore, it was necessary to apply
appropriate amounts of nitrogen fertilizer to adjust the C/N ratio.
SOC
played an important role in mediating soil available nutrients, soil structure
and carbon balance (Shafi et al.
2007). The phenomenon has certain lag in response to climate
change, land cultivation and farmland management measures could be considered
as an optimal way of sustainable crop production (Chen et
al. 2008). However, most of the researches
focus on the returning of straw to deep soil layers because of having an effective increase in the soil organic carbon content.
And this could be done by using a deep-ditching-ridge-ploughing method (Soon
and Lupwayi 2012) and DB-SR method (Wang et
al. 2015b). The methodology is different
from the methods used in the present investigation.
But there is a similarity and the result provides a good conclusion about
returning of the straw to 20 cm soil depth.
Soil
organic carbon pool is one of the most important dynamic carbon pools in the
earth's terrestrial ecosystem. Most important to it
is that its small change can lead to a large fluctuation in the global
atmospheric CO2
content (Kumar et al.
2010). Different land use patterns and management measures have a great impact
on the soil organic carbon storage (Han et
al. 2017). From
the perspective of carbon sequestration in farmland, it is hoped that the
higher the stability of organic carbon, lower will be the carbon emission.
Straw returning increases the content of active organic carbon and the
proportion of active organic carbon in the total
organic carbon pool (Navarro-Noya et
al. 2013).
Marschner
et al.
(2011) showed no significant differences of SOC during the growth stages. This
result was similar to those obtained in some previous studies, where the SOC
was insensitive to recent agricultural management
activities (Cusack et
al. 2011; Laird
and Chang 2013). There may be more influence in physical protection of straw
returning. So, we choose the physical method to analyse the effect of the straw
returning which was referred to Golchin et
al. (1998). Chen et
al. (2008) opined that straw returning could
increase the content of LF and had a significant effect on improving soil
organic carbon quality. From the perspective of the grouping of organic carbon,
the content of LF and O-LF would have been changed
easily in all the soil depths, in those HF was relatively stable. Straw
incorporation could stimulate microorganisms and might produce more active
organic carbon. So the net effect could consequently be predicted in the short
term basis (Soon and Lupwayi 2012). The arable degree
of culturing in the cultivated soil layer was relatively higher, and the soil
recombined organic carbon content does not fluctuate significantly in the short
term. However, our study showed that the straw OC of
D3
treatments had a highest content than other depths, except for D0
treatment which had a lower straw OC (58.0%) than D1
and D3.
In other words, there was more than 58% of straw carbon flowing into the air
when the straws were put on top soil. It indicated
that the straw carbon could be saved in the soil when straw returned into deep
soil while reducing the volatilization of straw carbon and lower CO2
emission (Kumar et al.
2010). According to Han et al.
(2017), straw application could increase CO2–C emission because they change the soil total porosity and
organic carbon content.
Bolinder
et al.
(1999) indicated that the soil microbial biomass, specifically soil enzymes, is
more sensitive to changes in the soil quality. It showed that the long-term incorporation of crop residues caused significant increases
in urease and invertase activity levels over a five-year period (Wei et
al. 2015). The trends in the enzyme
activity levels were also similar in the present study. Compared with no straw
incorporation (CK), the treatments of straw return
greatly increased the activity levels of soil urease. The function was evident
especially in D0
treatment which had the highest content, but there was no significant
difference in soil sucrase. As described in the previous
studies (Jin et al.
2009), the activity levels were higher in the topsoil which may have been
caused due to the “surface activation effect” (Bandick and Dick 1999). These
increases may have been attributable to both microbial growth and the stimulation of microbial activity due to enhanced resource
availability (Zhao et al.
2009).
Crop residues return significantly
affected bacterial community structure and increased their population
(Navarro-Noya et
al.
2013). Different microbial communities are responsible
for specific functions in the decomposition of crop residues. For example,
bacteria dominate in the initial phases, while fungi dominate in the later
stages of the crop residues decomposition (Marschner et al. 2011). Although the SMBC only
have a 5–8% of SOC, it has a higher
activity and dynamics in soil carbon which playing a key role in the nutrient
cycling (Cusack et
al.
2011) and acting as a driving force for microbial activity (Li et al. 2012). It is considered as a
sensitive indicator of changes in soil quality and
soil health caused by cultivation (Powlson et al. 1987). In this study, SMBC was
decreased with the deepening of soil layers and showed a significant difference
between soil layers. The D2 treatment had a highest content
of SMBC which is consistent with the result of Zou et al. (2016). For this, conditions
fulfilled, should be to put straw into deep soil and that a phenomenon of
surface microbial aggregation in the soil does exist (Lal 2004).
In a 3 years
trial, the maize straw residue returning to deep soil
could decompose quickly than putting the maize straw on top of soil (P < 0.01).
To incorporate the straw, especially for the straw lignin, decomposing rate and
the SMBC content, 15–30
cm soil depth was the best method. Straw returning to
the deep soil also can store more stable carbon in the soil and can increase
the accumulation of organic matter. The effects of farming practices and straw
returning to the field and activating carbon, not only stir up soil layer but also distribute crop residues. The application also
effects the soil physical, chemical and biological changes over a long-term.
We, however, have studied for only a short-term farming. The lack of scientific
knowledge for a long-term farming, so to say >10
years on the impact of soil activated carbon components requires further
exploration.
This work was supported by the
National Key Research and Development projects (2016YFD0300806), the the
National Natural Science Foundation of China (41620104006)
and the Special Fund for Agro-scientific Research in the Public Interest of
China (201303126).We thank the University of Liège-Gembloux Agro-Bio Tech and
more specifically the research platform which stay in Belgium that made this
paper possible.
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