Next Article in Journal
A Biostimulant Based on Seaweed (Ascophyllum nodosum and Laminaria digitata) and Yeast Extracts Mitigates Water Stress Effects on Tomato (Solanum lycopersicum L.)
Next Article in Special Issue
Socio-Economic Impacts of Livelihood from Fuelwood and Timber Consumption on the Sustainability of Forest Environment: Evidence from Basho Valley, Baltistan, Pakistan
Previous Article in Journal
Antioxidant Activity of Elderberry Fruits during Maturation
Previous Article in Special Issue
Farming Systems Changes in the Urban Shadow: A Mixed Approach Based on Statistical Analysis and Expert Surveys
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Field Decomposition of Corn Cob in Seasonally Frozen Soil and Its Intrinsic Influencing Factors: The Case of Northeast China

1
Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130025, China
2
College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
3
Chinese Academy of Agricultural Mechanization Sciences, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Submission received: 18 May 2021 / Revised: 8 June 2021 / Accepted: 14 June 2021 / Published: 17 June 2021

Abstract

:
Returning corn cobs to the field during corn kernel harvesting is an effective way to improve soil properties and increase crop yield. However, seasonally frozen soil seriously hinders the field decomposition process of corn cobs. To explore the decomposition characteristics and promote field decomposition, in this study, the nylon mesh bag method was used to perform field decomposition tests for 150 days. Fiber composition analysis and microstructure observation were carried out. The results showed that the field decomposition of corn cob was influenced by temperature, precipitation, and frozen soil environment. The 150-day cumulative decomposition rates of the pith, woody ring, and glume were 40.0%, 24.2%, and 36.3%, respectively. Caused by the difference in fiber compositions, the decomposition speeds of pith and glume were much higher than that of the woody ring. The complex microstructures of the pith, woody ring, and glume led to differences in the accessibility of cellulose, which indirectly influenced the field decomposition characteristics. The homogeneous sponge-like structure of the pith and glume increased the accessibility of cellulose and ultimately accelerated the field decomposition, while the compact lignocellulosic structure of the woody ring hindered the decomposition process. Compared with corn stalk, corn cob had similar or even better field decomposition characteristics and excellent application prospects.

1. Introduction

Corn is one of the world’s three main grain crops and the largest grain crop in China. Corn cob is the essential by-product in corn production, which accounts for about 15% of the total mass with a moisture content ranging from 66% to 47% w.b. [1]. It is estimated that there are about 164 Tg corn cobs produced globally each year [2] and 45.9 Tg corn cobs produced annually in China. However, there are only about 8 million tons of corn cobs used in various applications. In total, 82.6% of the corn cobs are burned [3], which not only releases pollutants but also causes waste of biomass resources [4]. Returning to the field seems to be a reasonable treatment of corn cobs produced in harvesting.
At present, China’s corn-harvesting technology is transforming from mechanized ear harvesting to corn kernel harvesting, especially in northeast China [5,6]. Generally, in northeast China, the corn kernel harvesting starts in early November, and the corn cobs are thrown into the field in the mechanized harvest. After harvesting, residues such as corn cobs on the ground are returned into the soil using turn-plow till sowing in early April of the following year. However, under the climate condition of low temperature in northeast China, the corn cobs decompose slowly after returning to the field, which causes short-term soil acidification [7], affects crop root development, aggravates pests and diseases, and reduces the quality of spring sowing [8,9]. Therefore, in order to improve soil physical and chemical properties [10], combat soil erosion [11], promote crop growth, and increase crop yield [12,13], it is of great significance to explore the field decomposition characteristics of corn cobs under the conditions of corn kernel harvesting technology in northeast China.
In terms of the various residues collected from corn production, most research has focused on the field decomposition of corn stalk. Zhao et al. [14] simulated the accumulation and mineralization of organic carbon in chernozem under different stalk return methods after corn harvesting. Villamil et al. [15] investigated the effects of corn residue, tillage, and nitrogen rate on soil properties. Jia et al. [16,17] indicated that standing corn residue can act as an effective way to control wind erosion and compared the effects of two major corn stalk management techniques on soil frost depth, snow depth, and soil heat flux in northeast China. Cao et al. [18] and Yu et al. [19] assessed the field decomposition of corn stalks in two areas to explore the decomposition characteristics of corn stalks under different conditions. However, as a kind of residue with a proportion second only to corn stalk, there are few studies on the field decomposition of corn cob.
As a valuable biomass resource, the structure and characteristics of corn cob have been studied by many domestic and foreign scholars. Anazodo et al. [20] divided the structure of corn cob into three layers and explored the mechanical properties of corn cob from quasi-static radical compression force-deformation curves. Takada et al. [21] and Lu et al. [22] examined the chemical compositions and characteristics of the three layers of corn cob. Pinto et al. [23,24] described the macrostructure and microstructure of different components of corn cob and assessed its elementary chemical composition, density, water absorption, fire resistance, and thermal insulation capacity. Ji et al. [25] explored the impact and mechanism of mechanical fragmentation on microstructure features and enzymatic hydrolysis at different plant scales. The above studies generally concentrated on the inherent structure and properties of corn cob. There are no published reports documenting in detail the field decomposition of corn cob, especially associating the decomposition characteristics with the fiber compositions and microstructures.
Based on the above considerations, in this study, different components of corn cob were obtained by mechanical cutting pretreatment. Then, field decomposition tests were conducted to analyze the decomposition characteristics of corn cob and to compare them with the field decomposition characteristics of corn stalk. Finally, the influences of fiber composition and microstructure on the field decomposition characteristics were explored by Fourier-transform infrared spectroscopy and scanning electron microscopy. The results can provide a theoretical basis for accelerating the field decomposition process of corn cob and developing corn-cob-crushing devices suitable for a corn kernel harvester.

2. Materials and Methods

2.1. Material Preparation

The corn variety used in the test was Feitian 358, which is a typical early maturing spring corn variety in northeast China and suitable for corn kernel harvesting technology. The experimental corn was acquired from Jilin University Agricultural Experiment Base (43°56′46″ N, 125°14′52″ E) in October 2019. Mature corn ears were obtained by hand-picking. Then, corn cobs without visual damage and degradation were obtained by manual threshing. After natural drying at a constant temperature (23 ± 1 °C) and humidity (60 ± 5% RH), the average moisture content of the experimental corn cobs was 6.3% (wet basis), the average length was 190.8 mm, the average diameter was 26.4 mm, and the average mass was 20.2 g.
The macroscopic structure of a corn cob can be divided into three layers, namely the pith, the woody ring, and the glume, as shown in Figure 1. The cross-section of the pith is an irregular circle, and its outer side is an annular woody ring and an annular glume. The middle 100-milllimeter portion of the experimental corn cob was cut off as the “whole corn cob”, which was used as the control group of the field decomposition test. After that, the separated pith, woody ring, and glume were obtained by dividing the whole corn cob. The physical parameters of the different components of corn cob are shown in Table 1.
The soil used in the test was taken from Jilin University Agricultural Experiment Base at a depth of 20 cm. After removing stones and roots, the soil was sieved using a sieve with an aperture of 2 mm. The distributions by mass of particles of different sizes in the experimental soil were as follows: sand (0.02~2 mm), 37.7%; silt (0.002~0.02 mm), 23.9%; and clay (0~0.002 mm), 38.5%. The nutrient contents of the experimental soil as determined by a soil nutrient analyzer were as follows: organic matter, 21.6 g/kg; available nitrogen, 77.6 mg/kg; available phosphorus, 18.2 mg/kg; and available potassium, 83.2 mg/kg. The saturated water capacity of the soil was 34.4%, the bulk density was 1.37 g/cm3, and the pH value was 6.4.

2.2. Field Decomposition Tests

The field decomposition tests of the corn cobs were carried out using the nylon mesh bag method. The whole corn cob, pith, woody ring, and glume were separately packed into nylon mesh bags with apertures of 0.4 mm (2 g for each bag and 100 bags for each type). After sealing, the mesh bags were embedded into the test boxes with prepared soil. The test boxes were 58.5 cm long, 44.6 cm wide, and 32.9 cm high. The experimental samples were buried at a depth of 20 cm, and 10 bags of samples were buried in each box. To be consistent with the natural environment conditions of the field such as the temperature and precipitation, the test boxes were placed on the field surface at Jilin University Agricultural Experiment Base.
In northeast China, the field decomposition of corn cobs begins from the fall harvest (early November) to the spring sowing (early April of the following year). Therefore, the field decomposition period in this study was determined to be 150 days to cover all the decomposition periods in the field. The temperature and precipitation in the test area are shown in Figure 2 [26]. The thickness distribution of frozen soil in the test area is shown in Figure 3. Seasonally frozen soil appeared at the beginning of the tests. Subsequently, its thickness continued to spread deeper and deeper, reaching its maximum depth at day 120. After the 135th day, the frozen soil started to thaw from the field surface to the deeper layers. According to the characteristics of temperature and frozen soil, the decomposition process can be divided into three periods, which are the cooling period (1 November to 15 December), the frozen period (15 December to 28 February), and the thawing period (1 March to 1 April).
The sampling interval of the field decomposition test was 15 days, and each group of samples was taken with 10 bags at a time. After sampling, the soil adhering to the surface of the experimental samples was washed. The experimental samples were dried at 105 ± 2 °C for 24 h and weighed. The cumulative decomposition rate (%) and decomposition speed (g/d), respectively, can be calculated by the following formulas:
R D = M 0 M r M 0 × 100 %
V D = M 0 M r T D
where RD is the cumulative decomposition rate (%); M0 is the initial mass of the experimental sample (g); Mr is the residual mass of the experimental sample (g); VD is the decomposition speed (g/d); TD is the decomposition time (d).

2.3. Infrared Spectrum Analysis

As a kind of natural biomass, the material composition of corn cob heavily influences its field decomposition process. Fourier-transform infrared spectroscopy (FTIR) is an effective method for qualitative analysis of the compound composition of corn cob, especially the fiber composition. The pith, woody ring, and glume were dried in a drying oven at 105 ± 2 °C for 24 h. Afterward, these samples were ground into fine powder and made into observation tablets using the pressed-disk technique. Finally, a Shimadzu IRAffinity-1 Fourier Transform Infrared Spectrometer was used to analyze the prepared tablets in the wavelength range of 400~4000 cm−1.

2.4. Microstructure Observation

The microstructure of materials is also an important factor affecting field decomposition. In order to observe the microstructural forms and the densification properties of different components, microstructure observation was carried out. Before the observation, the samples were plated using a Cressington 108 automatic sputter coater after sufficient drying. After that, an EVO-18 scanning electron microscope (SEM) was used to observe the microstructures of the pith, woody ring, and glume. The microstructure observation was carried out at a lower acceleration voltage and as quickly as possible.

3. Results and Discussion

3.1. Decomposition Characteristic Analysis

It can be seen from Figure 4 that during the 150-day field decomposition process, the whole corn cob, pith, woody ring, and glume had similarities in their decomposition characteristics, which followed the pattern of first being fast, then slow, and ultimately accelerating gradually. The average decomposition speeds and cumulative decomposition rates of corn cob components are shown in Table 2. During the same period, piths had the highest cumulative decomposition rate, followed by glumes. The cumulative decomposition rates of the woody rings and whole corn cobs were the lowest in all periods and they were approximately equal. Regression analysis of field decomposition (Table 3) showed that fitting curves for the cumulative decomposition rate of the above samples conformed to the cubic polynomial distribution.

3.1.1. Pith

The decomposition speed of the pith was the fastest in the initial stage. The average decomposition speed of the pith in the cooling period was 0.57%/d, and the cumulative decomposition rate was 25.8%. At this time, the average temperature of the test area was higher than 0 °C, and the average precipitation was more than 10 mm. After this period, the seasonally frozen soil in the test area gradually spread to 20 cm underground, which was the depth of the field decomposition test. Meanwhile, the precipitation at the test area also dropped to the lowest level of the year. The average decomposition speed of the pith during the frozen period decreased to 0.10%/d, the cumulative decomposition rate reached 33.3%, and the net increase in the decomposition rate was 7.5%. The average decomposition speed of the pith during the thawing period rose to 0.22%/d, the cumulative decomposition rate reached 40.0%, and the net increase in the decomposition rate was 6.7%. As the thawing period continued, the temperature and precipitation gradually increased. Based on the regression equation of the cumulative decomposition rate of piths, it can be predicted that the cumulative decomposition rate of piths would reach 64.7% as of 1 May, which was the spring sowing time in the northeast. At that time, the main structure of the piths would be completely decomposed and would not adversely affect the sowing.

3.1.2. Woody Ring

The decomposition characteristics of the woody rings followed the same pattern as those of the piths, but the cumulative decomposition rate of the woody ring was low for the whole period. The fitting degree of the cumulative decomposition rate of the woody ring was lower than that of the pith, and the decomposition speed fluctuated more. The average decomposition speed of the woody ring in the cooling period was 0.25%/d, and the cumulative decomposition rate was 11.1%. Then, the average decomposition speed in the frozen period reduced to 0.10%/d, and the cumulative decomposition rate increased to 18.6%; the net increase in the decomposition rate was 7.5%. In the thawing period, the average decomposition speed reached 0.19%/d, the cumulative decomposition rate reached 24.2%, and the net increase in the decomposition rate was 5.6%. According to the regression equation of the cumulative decomposition rate, it can be predicted that the cumulative decomposition rate of the woody ring would reach 36.7% on 1 May. At the time of spring sowing, the undecomposed woody ring would be the main residue in the field. It is also the main substance affecting corn emergence and seedbed stability.

3.1.3. Glume

The trend of the cumulative decomposition rate of the glumes was almost the same as that of the piths, but there was a slight difference. After the 15th day, the cumulative decomposition rate of the glumes was always about 3% lower than that of the piths. In other words, the decomposition speed of these two components of the corn cob was almost the same throughout the test period.
The average decomposition speeds of glume in the cooling period, frozen period, and thawing period were 0.51%/d, 0.08%/d, and 0.24%/d, respectively. The cumulative decomposition rates were 23.1%, 29.1%, and 36.3%, respectively. According to the regression equation of the decomposition rate, it can be predicted that the cumulative decomposition rate of the glume could reach 58.5% on 1 May.

3.1.4. Overall Analysis and Comparison

Under the same soil environment and climate conditions, the average decomposition speeds and cumulative decomposition rates of the whole corn cob, pith, woody ring, and glume showed significant differences. As can be seen from Figure 4, the cumulative decomposition rates of the pith, woody ring, and glume in 150 days were 40.0%, 24.2%, and 36.3%, respectively. Compared with the whole corn cob, the cumulative decomposition rates were increased by 81%, 10%, and 64%, respectively.
As a residue produced simultaneously with corn cob in mechanized corn harvesting, the field decomposition characteristics of corn stalk have been investigated by many scholars. Field decomposition characteristics of corn stalk in Songyuan, Jilin Province (45°26′64″ N, 124°87′69″ E), and that in Yangling, Shaanxi Province (34°17′51″ N, 108°00′48″ E), were selected for comparison [18,19]. The locations of the field decomposition tests are shown in Figure 5. Among them, field decomposition of corn stalk in Songyuan began on 25 April and lasted for 150 days. Field decomposition of corn stalk in Yangling began on 31 October and lasted for 300 days, but only the decomposition in the first 150 days was selected for comparison.
For comparison, the corn stalks of Songyuan and the corn cobs of Changchun were decomposed for 150 days in the field in summer and winter, respectively. Although the sites and soil environments were similar, there were significant differences in the cumulative decomposition rate and decomposition speed. It can be seen that differences in temperature and precipitation can significantly affect the field decomposition speed in different seasons. Yangling’s corn stalks and Changchun’s corn cobs decomposed in the field for 150 days in winter. In the first 30 days, as the precipitation levels were approximately the same and the temperatures were around 0 °C, the field decomposition speeds were approximately the same. After 30 days, the temperature in Yangling remained at a certain level, while the temperature in Changchun continued to decrease. Seasonally frozen soil appeared, and field decomposition entered the frozen period. In the frozen period, the field decomposition speed in Changchun was significantly lower than that in Yangling, indicating that the seasonally frozen soil greatly hindered the process of field decomposition. Then, from the thawing period to spring sowing, the field decomposition speed returned to normal. It is worth noting that the decomposition speeds of the pith and glume were significantly higher than that of the corn stalk. Compared with corn stalk, corn cob had similar or even better field decomposition characteristics.

3.2. Effect of Fiber Composition on Field Decomposition

As an enzymatic reaction with the participation of microorganisms, the field decomposition characteristics of corn cob are influenced by its chemical composition, especially the fiber composition. Corn cob is mainly composed of cellulose, hemicellulose, and lignin. The contents of these fiber components in the pith, woody ring, and glume are different, which indirectly affects the field decomposition characteristics of corn cob. Fourier-transform infrared spectroscopy was used for qualitative analysis of the fiber compositions in the pith, woody ring, and glume, and the results are shown in Figure 6.
According to the attribution analysis of the FTIR in Figure 6 and Table 4, the transmittances of pith, woody ring, and glume were different, but the trends were roughly the same. Among them, the absorption peaks related to cellulose mainly appeared around 1028, 1245, 2889, and 3385 cm−1. The absorption peaks at 1028 and 2889 cm−1 represented the stretching vibration of C–O–C and C–H groups, respectively, while the absorption peaks at 1245 cm−1 represented the bending vibration of O–H [27]. The absorption peaks near 3385 cm−1 were the descending stretch in cellulose. The absorption peaks around 1516 and 1612 cm−1 were mainly derived from lignin aromatic skeletal vibration and C=O stretching [28]. The transmittances of the absorption peaks here were as follows: woody ring > pith > glume. The absorption peaks at 1727 cm−1 were the main characteristic peaks that distinguished hemicellulose from other components and represented the C=O stretching vibration of the acetyl group and carboxyl group in hemicellulose [29]. The absorption peaks near 1368 cm−1 represented the bending vibration of C-H groups, which existed in cellulose and hemicellulose simultaneously.
As early as the last century, Lu et al. [22] had subdivided the structure of the corn cob and determined the fiber compositions of each component. The contents of cellulose, hemicellulose, and lignin measured by Lu et al. are shown in Table 5. It can be seen from the table that the hemicellulose content was the highest in the pith and glume, while the cellulose content was slightly lower than the hemicellulose content. Cellulose was the most abundant fiber type in the woody ring, and its content was much higher than that of hemicellulose. Furthermore, the content of lignin in the woody ring was higher than that in the pith and glume, which may be one of the reasons for the differences in decomposition characteristics.
Cellulose is the most abundant polymer in corn cobs. As the structural polysaccharide of the cell wall of corn cob, it accounts for 30~50% of the total fiber composition. Hemicellulose is second only to cellulose in the fiber composition of corn cob, accounting for 30~40% of the total fiber composition. Hemicellulose is usually used as the adhesive to connect cellulose microfibers in corn cob. The strength of the chemical bonds in hemicellulose is lower than that in cellulose, and FTIR shows that there are fewer chemical bonds in hemicellulose than in cellulose. The degree of polymerization of hemicellulose is also significantly lower than that of cellulose. As a result of this, hemicellulose is the first fiber to decompose in corn cob, and its cumulative decomposition rate is also higher than that of cellulose [30]. The content of lignin in corn cob is about 5~10%, and the main function of lignin is to strengthen the connection between cellulose microfibrils and enhance the mechanical strength of fiber structure. During the field decomposition process, the presence of lignin seriously hindered the decomposition of fiber structures in corn cob, mainly in the following aspects: (1) Lignin has steric hindrance in the enzymatic hydrolysis of cellulose by cellulase; (2) lignin has some ineffective adsorption to cellulase; and (3) the products of enzymatic hydrolysis of lignin are toxic to microorganisms [31].
In terms of different experimental samples, the relative contents of hemicellulose in the pith and glume were higher than that in the woody ring, so the decomposition speeds of the pith and glume were higher than that of the woody ring in the cooling period. For different fiber compositions, when the corn cob was decomposed in the field, the decomposition process of cellulose and hemicellulose generally followed the trend of “first fast and then slow”, and the decomposition speed and cumulative decomposition rate of hemicellulose were higher than those of cellulose from beginning to end. Due to the hindrance of lignin in field decomposition, the decomposition speed of lignin was the slowest, and there was no obvious speed fluctuation in the whole process. Therefore, lignin was the main fiber type that needed to be decomposed in the late stage of field decomposition, and it was also the main component that remained in the field.
Considering that the field decomposition of lignin was very slow, the decomposition speed of lignin could be increased by additional means to ultimately accelerate the overall decomposition process of corn cob. For instance, a decomposing agent or lignin-decomposing enzyme can be applied in the process of returning cobs to the field, allowing rapid decomposition of lignin in the early stages of field decomposition and reducing the impact of steric hindrance and ineffective adsorption of lignin. In addition, lignin-decomposing microorganisms, such as white-rot fungi, actinomycetes, and some bacteria, can be added to the field to fully decompose lignin during the entire period of field decomposition.

3.3. Effect of Microstructure on Field Decomposition

The microstructure was also a key factor affecting the decomposition characteristics; in other words, fiber accessibility was the decisive factor affecting the field decomposition speed [32]. The complex microstructures of the three components of corn cob made their specific surface areas and cellulose accessibility different, which eventually led to the differences in decomposition speed. The microstructures of the different components of corn cob were obtained by SEM, and the results are shown in Figure 7. As shown in the SEM images, the microstructures of the different components of corn cob are quite different.
The microstructure of the pith (Figure 7a) is a homogenous sponge-like tissue with thin walls and full of air. The cells are so tightly connected that there are almost no gaps. This sponge-like microstructure gives it a low density, good water and oil absorption ability, and a large specific surface area for cellulose. During field decomposition, the high specific surface area of the pith made the contact between cellulose and microorganisms more adequate and accelerated the decomposition speed.
As an important plant organ, the microstructure and physico-chemical properties of corn cob share many similarities with cork, mainly in the woody ring. The macroscopic texture and strength of the woody ring are similar to those of cork [24], making the woody ring the main source of density and mass of the corn cob. The pith and woody ring are connected by internodal tissues. The woody ring (Figure 7b) has a compact homogeneous microstructure with a higher density than the pith. Its microstructure is a hollow tubular structure with cellulose as the skeleton, which is filled and bonded by lignin. The cellulose skeletons interweave as a whole to form a compact three-dimensional network entity. In the woody ring, lignin strengthens the connection between cellulose microfibrils, creating the space barrier between microbial enzymes and cellulose, reducing the accessibility of cellulose, and ultimately reducing the decomposition speed of the woody ring.
Glume is the connection between the corn cob and corn kernels, which is a kind of degenerated plant tissue. As can be seen in Figure 7c, the connection between the glume and woody ring is not transitional, but rather a well-defined embedded connection. Like the pith, the internal microstructure of the glume is also a porous cellular structure, with the main difference being the distribution of many transparent glandular hairs and elliptical protrusions on the outer surface of the glume. The loose and complex microstructures of the pith and glume make the corn cob maintain good physical properties and structural integrity while having much higher absorption characteristics than other agricultural materials do.
Furthermore, in the determination of water absorption, we found that although the macroscopic structure of corn cob is relatively loose, its water absorption process is a slow progressive saturation. It can be speculated that corn cobs may have a capillary-like structure, making their water absorption process similar to osmosis. This kind of porous cellular microstructure and capillary-like structure also have an important influence on the field decomposition of corn cob.
Therefore, using physical, chemical, and biological means to destroy the fiber structure of the corn cob and improve the accessibility of cellulose is of great significance to promote the field decomposition of corn cob.

4. Conclusions

In this study, field decomposition tests were carried out to investigate the decomposition characteristics of different components of corn cob under seasonally frozen soil conditions. After that, the effects of fiber compositions and microstructures on field decomposition were explored by FTIR and SEM, respectively. The results can be summarized as follows:
The field decomposition of corn cob followed the pattern of first being fast, then slow, and ultimately accelerating gradually. The decomposition speed order was as follows: pith > glume > woody ring, and the cumulative decomposition rates of the pith, woody ring, and glume were 40.0%, 24.2%, and 36.3%, respectively. The fiber components of corn cob greatly affected its field decomposition process. Among them, hemicellulose was the first fiber component to decompose, followed by cellulose. The presence of lignin severely hindered field decomposition. The complex microstructures of the three components made the cellulose accessibility different, which eventually led to the difference in decomposition speed.
Compared with corn stalk, corn cob has better field decomposition characteristics and excellent prospects. This study can provide a theoretical basis for the field decomposition of agricultural residues in seasonally frozen soil.

Author Contributions

Conceptualization, J.F.; methodology, J.F.; validation, Y.Z.; investigation, Y.Z.; resources, J.F.; writing—original draft preparation, Y.Z.; writing—review and editing, J.F.; supervision, Z.C. and L.R.; project administration, J.F.; funding acquisition, J.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the International Science and Technology Cooperation Project of Jilin Provincial Science and Technology Development Program (No. 20190701055GH).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request.

Acknowledgments

The authors are grateful for the corn provided by the Jilin University Agricultural Experiment Base and the equipment provided by the Key Laboratory of Bionic Engineering, Ministry of Education.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Igathinathane, C.; Womac, A.; Sokhansanj, S. Corn stalk orientation effect on mechanical cutting. Biosyst. Eng. 2010, 107, 97–106. [Google Scholar] [CrossRef]
  2. Takada, M.; Niu, R.; Minami, E.; Saka, S. Two-step hydrolysis of corn (Zea mays) cobs treated with semi-flow hot-compressed water. Int. J. Agric. Crop Sci. in press.
  3. Wang, H.; Zhang, X.; Wang, D.; Cui, C.; Gao, C.; Wang, L.; Wang, Y.; Bi, Y. Estimation and utilization of corn cob resources in China. Chin. J. Agric. Resour. Reg. Plan. 2016, 37, 1–8. [Google Scholar]
  4. Hong, J.; Ren, L.; Hong, J.; Xu, C. Environmental impact assessment of corn straw utilization in China. J. Clean. Prod. 2016, 112, 1700–1708. [Google Scholar] [CrossRef]
  5. Chen, Z. Maize Full Value Harvest Key Technology and Equipment; Science Press: Beijing, China, 2014; pp. 1–181. [Google Scholar]
  6. Yang, L.; Cui, T.; Qu, Z.; Li, K.; Yin, X.; Han, D.; Yan, B.; Zhao, D.; Zhang, D. Development and application of mechanized maize harvesters. Int. J. Agric. Biol. Eng. 2016, 9, 15–28. [Google Scholar]
  7. Zhu, Q.; Liu, X.; Hao, T.; Zeng, M.; Shen, J.; Zhang, F.; De Vries, W. Modeling soil acidification in typical Chinese cropping systems. Sci. Total Environ. 2018, 613–614, 1339–1348. [Google Scholar] [CrossRef] [Green Version]
  8. Christian, D.; Bacon, E.; Brockie, D.; Glen, D.; Gutteridge, R.; Jenkyn, J. Interactions of Straw Disposal Methods and Direct Drilling or Cultivations on Winter Wheat (Triticum aestivum) grown on a Clay Soil. J. Agric. Eng. Res. 1999, 73, 297–309. [Google Scholar] [CrossRef]
  9. Zhao, J.; Huang, D.; Jia, H.; Zhuang, J.; Guo, M. Analysis and experiment on cutting performances of high-stubble maize stalks. Int. J. Agric. Biol. Eng. 2017, 10, 40–52. [Google Scholar]
  10. Xiu, L.; Zhang, W.; Sun, Y.; Wu, D.; Meng, J.; Chen, W. Effects of biochar and straw returning on the key cultivation limitations of Albic soil and soybean growth over 2 years. Catena 2019, 173, 481–493. [Google Scholar] [CrossRef]
  11. Toure, A.A.; Rajot, J.L.; Garba, Z.; Marticorena, B.; Petit, C.; Sebag, D. Impact of very low crop residues cover on wind erosion in the Sahel. Catena 2011, 85, 205–214. [Google Scholar] [CrossRef]
  12. Madar, R.; Singh, Y.; Meena, M.; Das, T.; Paramesh, V.; Al-Mana, F.; Mattar, M.A.; Elansary, H.O. Residue and Potassium Management Strategies to Improve Crop Productivity, Potassium Mobilization, and Assimilation under Zero-Till Maize–Wheat Cropping System. Agriculture 2020, 10, 401. [Google Scholar] [CrossRef]
  13. Zhu, K.; Liu, Z.; Tan, X.; Lin, J.; Xu, D. Study on the ecological potential of Chinese straw resources available for bioenergy producing based on soil protection functions. Biomass Bioenergy 2018, 116, 26–38. [Google Scholar] [CrossRef]
  14. Zhao, X.; He, L.; Zhang, Z.; Wang, H.; Zhao, L. Simulation of accumulation and mineralization (CO2 release) of organic carbon in chernozem under different straw return ways after corn harvesting. Soil Tillage Res. 2016, 156, 148–154. [Google Scholar] [CrossRef]
  15. Villamil, M.B.; Little, J.; Nafziger, E.D. Corn residue, tillage, and nitrogen rate effects on soil properties. Soil Tillage Res. 2015, 151, 61–66. [Google Scholar] [CrossRef] [Green Version]
  16. Jia, H.; Wang, G.; Guo, L.; Zhuang, J.; Tang, L. Wind erosion control utilizing standing corn residue in Northeast China. Soil Tillage Res. 2015, 153, 112–119. [Google Scholar] [CrossRef]
  17. Wang, G.; Jia, H.; Tang, L.; Lu, Y.; Guo, L.; Zhuang, J. Standing corn residue effects on soil frost depth, snow depth and soil heat flux in Northeast China. Soil Tillage Res. 2017, 165, 88–94. [Google Scholar] [CrossRef]
  18. Cao, Y.; Zhang, H.; Liu, K.; Lv, J. Decomposition Characteristics of Crop Residues among Different Agricultural Treatments. Trans. Chin. Soc. Agric. Mach. 2016, 47, 212–219. [Google Scholar]
  19. Yu, H.; Gu, Y.; Liang, X.; Wu, C. Study on the Decomposition Characteristics of Maize Straw and Soil Microbial Functional Diversity. J. Soil Water Conserv. 2015, 29, 305–309. [Google Scholar]
  20. Anazodo, U.; Norris, E. Effects of genetic and cultural practices on the mechanical properties of corn cobs. J. Agric. Eng. Res. 1981, 26, 97–107. [Google Scholar] [CrossRef]
  21. Takada, M.; Niu, R.; Minami, E.; Saka, S. Characterization of three tissue fractions in corn (Zea mays) cob. Biomass Bioenergy 2018, 115, 130–135. [Google Scholar] [CrossRef]
  22. Lu, M.; Li, J. The properties of corn cob and the way of deep processing. Food Ind. 1995, 4, 30–33. [Google Scholar]
  23. Pinto, J.; Paiva, A.; Varum, H.; Costa, A.; Cruz, D.; Pereira, S.; Fernandes, L.; Tavares, P.; Agarwal, J. Corn’s cob as a potential ecological thermal insulation material. Energy Build. 2011, 43, 1985–1990. [Google Scholar] [CrossRef]
  24. Pinto, J.; Cruz, D.; Paiva, A.; Pereira, S.; Tavares, P.; Fernandes, L.; Varum, H. Characterization of corn cob as a possible raw building material. Constr. Build. Mater. 2012, 34, 28–33. [Google Scholar] [CrossRef]
  25. Ji, G.; Gao, C.; Xiao, W.; Han, L. Mechanical fragmentation of corncob at different plant scales: Impact and mechanism on microstructure features and enzymatic hydrolysis. Bioresour. Technol. 2016, 205, 159–165. [Google Scholar] [CrossRef]
  26. China Meteorological Administration. Available online: https://weather.cma.cn/web/weather/54161.html (accessed on 12 May 2021).
  27. Ganguly, P.; Sengupta, S.; Das, P.; Bhowal, A. Valorization of food waste: Extraction of cellulose, lignin and their application in energy use and water treatment. Fuel 2020, 280, 118581. [Google Scholar] [CrossRef]
  28. Araya, J.A.; Carneiro, R.L.; Freer, J.; Neira, J.Y.; Castillo, R.D.P. Fourier transform infrared imaging and quantitative analysis of pre-treated wood fibers: A comparison between partial least squares and multivariate curve resolution with alternating least squares methods in a case study. Chemom. Intell. Lab. Syst. 2019, 195, 103890. [Google Scholar] [CrossRef]
  29. Yang, B.; Zhang, S.; Hu, H.; Duan, C.; He, Z.; Ni, Y. Separation of hemicellulose and cellulose from wood pulp using a γ-valerolactone (GVL)/water mixture. Sep. Purif. Technol. 2020, 248, 117071. [Google Scholar] [CrossRef]
  30. Agbor, V.B.; Cicek, N.; Sparling, R.; Berlin, A.; Levin, D.B. Biomass pretreatment: Fundamentals toward application. Biotechnol. Adv. 2011, 29, 675–685. [Google Scholar] [CrossRef] [PubMed]
  31. Donohoe, B.S.; Decker, S.R.; Tucker, M.P.; Himmel, M.E.; Vinzant, T.B. Visualizing lignin coalescence and migration through maize cell walls following thermochemical pretreatment. Biotechnol. Bioeng. 2008, 101, 913–925. [Google Scholar] [CrossRef]
  32. Meng, X.; Ragauskas, A.J. Recent advances in understanding the role of cellulose accessibility in enzymatic hydrolysis of lignocellulosic substrates. Curr. Opin. Biotechnol. 2014, 27, 150–158. [Google Scholar] [CrossRef]
Figure 1. Layered structure of corn cob.
Figure 1. Layered structure of corn cob.
Agriculture 11 00556 g001
Figure 2. Temperature and precipitation in test area.
Figure 2. Temperature and precipitation in test area.
Agriculture 11 00556 g002
Figure 3. Profile of frozen soil thickness in test area.
Figure 3. Profile of frozen soil thickness in test area.
Agriculture 11 00556 g003
Figure 4. Field decomposition rate of corn cob.
Figure 4. Field decomposition rate of corn cob.
Agriculture 11 00556 g004
Figure 5. Location of field decomposition tests.
Figure 5. Location of field decomposition tests.
Agriculture 11 00556 g005
Figure 6. FTIR of three-layer components of corn cob.
Figure 6. FTIR of three-layer components of corn cob.
Agriculture 11 00556 g006
Figure 7. Microstructure of different components of corn cob. (a) Microstructure of pith; (b) microstructure of woody ring; (c) microstructure of glume and its connection to woody ring.
Figure 7. Microstructure of different components of corn cob. (a) Microstructure of pith; (b) microstructure of woody ring; (c) microstructure of glume and its connection to woody ring.
Agriculture 11 00556 g007
Table 1. Physical parameters of different components of corn cob (100 mm).
Table 1. Physical parameters of different components of corn cob (100 mm).
ComponentsMass/gVolume/mm3Surface Area/mm2Density/(g/cm3)Water Absorption/%
Pith0.366.52613.84.71935%
Woody ring13.6331.16762.440.9216%
Glume1.7175.013,760.39.7356%
Table 2. Average decomposition speeds and cumulative decomposition rates of corn cob components.
Table 2. Average decomposition speeds and cumulative decomposition rates of corn cob components.
ComponentsCooling PeriodFrozen PeriodThawing Period
Average decomposition speed/(%/d)Pith0.570.100.22
Woody ring0.250.100.19
Glume0.510.080.24
Cumulative decomposition rate/%Pith25.833.340.0
Woody ring11.118.624.2
Glume23.129.136.3
Table 3. Regression analysis of field decomposition of corn cob.
Table 3. Regression analysis of field decomposition of corn cob.
ComponentsRegression EquationR2Prediction of Decomposition Rate/%
Pithy = 1.7587 + 0.95x − 0.01084x2 + 0.0000416979x30.97764.7
Woody ringy = 0.41438 + 0.36648x − 0.00365x2 + 0.0000151887x30.99536.7
Glumey = 0.93567 + 0.84281x − 0.00951x2 + 0.0000366835x30.98658.5
Corn coby = 0.18043 + 0.43717x − 0.00457x2 + 0.0000175681x30.99933.3
Table 4. Functional groups of FTIR of different fiber components.
Table 4. Functional groups of FTIR of different fiber components.
Wavelength/cm−1Functional Groups
1028C–O stretching vibration in cellulose
1245–OH bending vibration in cellulose
1368C–H bending vibration in cellulose and hemicellulose
1516Aromatic skeletal vibration
1612Aromatic skeletal vibration plus C=O stretching
1727C=O stretching vibration in hemicellulose
2889C–H stretching vibration in cellulose
3385–OH descending stretch in cellulose
Table 5. Fiber composition of corn cob (%, dry basis).
Table 5. Fiber composition of corn cob (%, dry basis).
ComponentsLigninCelluloseHemicellulose
Pith and glume5.435.737.0
Woody ring6.847.137.3
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Zou, Y.; Fu, J.; Chen, Z.; Ren, L. Field Decomposition of Corn Cob in Seasonally Frozen Soil and Its Intrinsic Influencing Factors: The Case of Northeast China. Agriculture 2021, 11, 556. https://0-doi-org.brum.beds.ac.uk/10.3390/agriculture11060556

AMA Style

Zou Y, Fu J, Chen Z, Ren L. Field Decomposition of Corn Cob in Seasonally Frozen Soil and Its Intrinsic Influencing Factors: The Case of Northeast China. Agriculture. 2021; 11(6):556. https://0-doi-org.brum.beds.ac.uk/10.3390/agriculture11060556

Chicago/Turabian Style

Zou, Yu, Jun Fu, Zhi Chen, and Luquan Ren. 2021. "Field Decomposition of Corn Cob in Seasonally Frozen Soil and Its Intrinsic Influencing Factors: The Case of Northeast China" Agriculture 11, no. 6: 556. https://0-doi-org.brum.beds.ac.uk/10.3390/agriculture11060556

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop