Abstract
Sustainable reduction of fertilization with technology acquisition for improving soil quality and realizing green food production is a major strategic demand for global agricultural production. Introducing legume (LCCs) and/or non-legume cover crops (NLCCs) during the fallow period before planting main crops such as wheat and corn increases surface coverage, retains soil moisture content, and absorbs excess mineral nutrients, thus reducing pollution. In addition, the cover crops (CCs) supplement the soil nutrients upon decomposition and have a green manure effect. Compared to the traditional bare land, the introduction of CCs systems has multiple ecological benefits, such as improving soil structure, promoting nutrient cycling, improving soil fertility and microbial activity, controlling soil erosion, and inhibiting weed growth, pests, and diseases. The residual decomposition process of cultivated crops after being pressed into the soil will directly change the soil carbon (C) and nitrogen (N) cycle and greenhouse gas emissions (GHGs), and thus affect the soil microbial activities. This key ecological process determines the realization of various ecological and environmental benefits of the cultivated system. Understanding the mechanism of these ecological environmental benefits provides a scientific basis for the restoration and promotion of cultivated crops in dry farming areas of the world. These findings provide an important contribution for understanding the mutual interrelationships and the research in this area, as well as increasing the use of CCs in the soil for better soil fertility, GHGs mitigation, and improving soil microbial community structure. This literature review studies the effects of crop biomass and quality on soil GHGs emissions, microbial biomass, and community structure of the crop cultivation system, aiming to clarify crop cultivation in theory.
Introduction
Cover crops (CCs) within agroecosystems impart ecological and environmental benefits, like enhancement of soil fertility, C sequestration, leaching reduction, erosion control, and pest and disease suppression (; ). Cover crops also increase nutrient cycling and biological N fixation, soil organic matter (SOM), biological diversity (e.g., microbes, insects, and birds), weed control, and crop yields (Muhammad et al., 2019), decreasing drainage, increasing infiltration, and maintaining soil nutrients (Wawan, Dini and Hapsoh., 2019). In addition, CCs provide a friendly agronomic environment with suppression of weeds and thus decreasing the dependency for the herbicides uses (Gavazzi et al., 2010; ). Dhima et al. (2006) reported that winter CCs, such as cereal rye (Secale cereale L.) and barley (Hordeum vulgare L.), could release inhibitory substances known as allelochemicals that can affect the initial growth of grass weeds like barnyard grass.
Previous researchers studied the impact of CCs on SOM in temperate zones and some ephemeral and long-term pools in the Mediterranean and semi-arid annual agroecosystems (Zhou et al., 2016; ). Meisinger et al. (1991) reviewed past studies and demonstrated that CCs minimized 20 to 80% of nitrate losses through leaching, whereas NLCCs are more effective than leguminous CCs. They found that winter CCs (small grains) could reduce the nitrate load through leaching and nitrate concentrations by 64 and 50%, respectively. Potential nitrate N leaching in the drainage was minimized by proper crop rotation using CCs (Dinnes et al., 2002). Logsdon et al. (2002) demonstrated that oat and rye CCs significantly decreased nitrate N by 70% in maize-soybean rotation in three simulated years.
Cover crop residues mitigate the negative effects of soil disruption as a result of improving SOM, soil moisture, preventing the germination and emergence of weed seeds, and defending against erosion (Teasdale, 1996; Hall et al., 2010; ). Residues mulching maintain the soil moisture by reducing the soil temperature (Unger et al., 1997; ; Li et al., 2013). Cover crops can also affect crop yields through changes in N dynamics in the soil. The addition of NLCCs such as oats tends to reduce mineralization and increases immobilization, lowering the inorganic N availability for the following crop (Haramoto and Brainard, 2012). However, farmers prefer cold-tolerant and productive cereal CCs in the Upper Midwest of the United States and seldom experiment with LCCs (Snapp and Borden, 2005). Leguminous CCs are a rich source of soil N and decompose faster than NLCCs, which results in higher nitrous oxide (N2O) emissions, however, NLCCs have a higher C:N ratio and are a rich source of soil organic carbon (SOC), which has higher carbon dioxide (CO2) emissions (Muhammad et al., 2019).
The introduction of CCs into agricultural soil is an important management practice (Figure 1). As shown in Figure 1, the CCs mulching and incorporation increase soil fertility, soil microbial growth, and hence SOM and residues decomposition. The schematic diagram shows that the incorporated residues decomposed faster than mulching, which released more GHGs and rapid availability of nutrients to plants. It has been used extensively to boost SOM and consequently increase cash crop productivity (Sainju and Singh, 2008). CCs cultivation not only provides physical protection to the soil by reducing the impact of rainfall but can also improve soil structure aggregation and microorganisms (Tang et al., 2017; ). Soil organic carbon (SOC) is the critical component of SOM, soil functions, and agricultural ecosystems sustainability (Muhammad et al., 2018; Chalise et al., 2019). Labile organic C is the most active part of SOC and can be used in the short-term experiments as an indicator for assessing the soil quality (Ghimire et al., 2017; Sharma et al., 2018). Furthermore, soil microbes easily access labile organic C and serve as essential nutrients for crop growth (Haynes, 2005). The current review aims (1) to examine the effect of CC types and amount on soil microbial biomass, community abundance and structure, and soil GHGs emissions, (2) to understand the decomposition pattern of CCs residue based on the C:N ratio and its impact on microbial dynamics and GHGs emissions. Excessive fertilization of crops leads to watercourses pollution, thus adding interest to the area of research in green manure practices and its management. Even through a considerable amount of work has been done regarding mineralization, yet the whole concept of residues decomposition, residues quality (low and high C:N ratios), and different CCs types need further detailed exploration in future. Therefore, there is a need to identify the impact of residue management on soil property, soil microbes, and GHGs emission from various residue types and management.
FIGURE 1
Manipulating Cover Crop Types to Influence Soil Microbial Biomass, Community, and Greenhouse Gas Emissions
Cover crops have been increasingly grown to improve soil health and crop production and minimize the environmental impact compared to NCCs. It is making a tremendous contribution to the supply of food. CC growing and its residue management is an essential cultural practice for improving productivity on a sustainable basis. This study is truly relevant to the national development and socioeconomic stability of the world. This research will lead to utilizing the organic waste in a better and less harmful manner for crop improvement and soil fertility.
Legume Cover Crops
Legume CCs have been used to increase SOM and N concentration (Maltais-Landry and Crews, 2019). The amount of N fixed by legumes is dependent on legume species and environmental conditions (Liebman et al., 2018), and hence increases soil N2O emissions (Peyrard et al., 2016). It has been estimated that some LCCs can fix 115 kg of N ha–1 year–1 from atmospheric N (N2) (Peyrard et al., 2016). Kornecki et al. (2016) reported that crimson clover (Trifolium incarnatum L.) increased yield by 30% when compared to NCCs plots. However, Reddy (2001) reported that LCCs had reduced the soybean yield when compared to NCC plots. Reddy (2003) observed a 50% reduction in grass weeds, such as barnyard grass, broadleaf signal grass, brown top millet, and a 55% reduction in entire leaf morning-glory (Ipomoea purpurea) emergence when using crimson clover. The N taken up by CCs may be subsequently available through mineralization after incorporation (Figure 2), thereby reducing the commercial N fertilizer requirement of the subsequent crop (). The incorporation of LCCs had higher N2O emissions than NLCCs and mixed CCs (Peyrard et al., 2016; Kandel et al., 2018). In low input and organic farming systems, the N released after plants incorporation provides a valuable source of N for the following arable crop. In conventional farming systems, CCs have been found to retain up to 60 kg of N ha–1 during the growing seasons (De Almeida Acosta et al., 2014). The introduction of LCCs into the soil reduces the inputs of commercial N, thus limiting leaching of N and acts as green manuring (GM) for the succeeding main cash crop (Couedel et al., 2018a; ). Legumes such as vetch (Vicia sativa) and clover (Trifolium sp) CCs have higher N fixation capability than NLCCs (Sainju et al., 2007). Legume CCs decompose faster than NLCCs and mixed CCs, which results in higher N2O emissions and lower soil CO2 emissions (Gonsiorkiewicz Rigon et al., 2018), and thus decreases N leaching and emissions (Muhammad et al., 2019).
FIGURE 2
Green manuring crops are grown to increase soil fertility and provide a source of N for the subsequent crops. Since GM improves SOM content and especially nutrition value, thus GM is often incorporated in an early immature stage before the cash crop grows (Venkateswarlu et al., 2007; Hwang et al., 2015; Madsen et al., 2016). Legumes are commonly grown as GM due to their high-quality residues (lower C:N ratio) and fixed biological N2 from the atmosphere, which leads to decreased N2O emissions by 55% (Sanz-Cobena et al., 2014), and decreased N2O emissions by 86% in barley crop (Sanz-Cobena et al., 2017). However, CCs during the growth period may reduce gaseous losses by N uptake. Nevertheless, their incorporation may result in increased N2O production during nitrification and/or denitrification, released inorganic N in decomposition, and created anaerobic zones in the soil (; Couedel et al., 2018b). These emissions are generally higher where high N residues such as LCCs are incorporated (Peyrard et al., 2016). The importance of such gaseous losses, in relation to a crop recovery and leaching losses, needs to be quantified to improve N use efficiency in organic systems.
Non-legume Cover Crops
The capacity of non-legume CCs is to minimize soil erosion (wind and water) and water runoff, increase soil aeration, available water holding, SOM and nutrient cycling (Wawan, Dini and Hapsoh., 2019), reduce NO3–-N losses in fallow soils, and provide more N for subsequent cash crops (Sainju and Singh, 2008). The impact of NLCCs on N dynamics is not fully understood, particularly in vegetable fields (White et al., 2020). The mineralization of NLCCs by soil microbes can take place on a long fallow period, and readily available mineral N lost as leachate or emissions from fallow (Rodrigues Torres et al., 2008). It was found that CCs can provide 20 to 55% of the recovered N for succeeding crops (Malpassi et al., 2000) beside these losses. However, to reduce the dependency of nitrogenous fertilizers without compromising yield, the mineralization of crop residues N in soil should be synchronized with the N demand of the main crop (Weinert et al., 2002). Cover crop types, growth period, precipitation, and temperature affect N accumulation, N use efficiency, and soil fertility of subsequent cash crops (Toom et al., 2019). Non-legume CCs such as oats and rye produced greater biomass than LCCs (Whitehead and Singh, 2010). Furthermore, grasses use residual N more effectively than LCCs, hence preventing N losses through leaching (). Winter CCs are more effective in reducing surface flow and increasing the evapotranspiration of water from field soil. Rotary tillage and rye CCs significantly boosted fungal substrate-induced respiration, SOC, and mean weight diameter (Nakamoto et al., 2012). Similarly, long-term rotations of maize, soybean, rye, and oat CCs decreased concentrations of NO3– in tile drainage by 48 and 26%, respectively (Kaspar et al., 2012). Winter CCs are effective, but in the fall, they must grow sufficiently to immobilize residual N in the soil, as shown by Mays et al. (2003), whereas delayed crop growth could be due to late seeding in the fall, which decreases NO3– immobilization and increases NO3– losses by leaching (Sanz-Cobena et al., 2012).
Mixed Cover Crops
To increase the utilization of CCs, growers need specific regional information to understand how the biomass and quality of CCs can affect crop yields and reduce emissions. Selection of CC types, tillage practices, termination date, residue decomposition, residue quality, and quantity is highly desirable in such a situation. Residue consistency is often distinguished by the content of C and N, lignification, C:N ratios, and the content of polyphenols (Muhammad et al., 2019; Liu et al., 2021; Wang et al., 2021). If the C:N of crop residues is low, it is generally considered that high-quality crops and nutrients will be released, which affects crop yield strongly and vice versa (Marahatta et al., 2012). A strategy for increasing the quality of crop residues (C:N ratio) and minimizing N immobilization is needed. It has been reported that a mixture of NLCCs and LCCs monocultures is the better choice to improve soil fertility, crop production, and minimize environmental contaminations (Odhiambo and Bomke, 2000). Mixed CCs provide another strategy to mitigate environmental problems because they have a relatively high C:N ratio compared with LCCs and consequently reduce N2O emissions (; Schmeer et al., 2014).
Cover Crop Uses and Benefits for Soil Microbial Biomass and Community Improvement
Cover crop cultivation and its residues management practices are the main factors that improve soil water holding capacity, soil microbial abundance and structure, and weed suppression. CCs incorporation, mulching, and removal from the field after harvesting have a critical impact on soil microorganisms. The influence of Cover crop types, residues management, and restudies quality are the key strategies to improve soil microbial communities, soil bacteria, and soil fungi.
Soil Microbes
Decades of intensive farming have reduced SOM content, thus plummeting soil fertility and arable land biodiversity (Gardiano et al., 2013). Subsequently, important services for soil ecosystems like nutrient cycling, water management, C storage, and functional biodiversity have been impaired. Microbial communities are vital for improving soil structure conservation and act as main decomposers of fresh organic material and drive biogeochemical nutrients transformation (Pina, 2019). The impacts of management practices on microbial populations are well known, at least regarding the increase in bacterial abundance and enzymatic activity (Muhammad et al., 2021a). Soil with sweet corn residue removed, incorporated, or garland chrysanthemum had 5.0, 5.4, and 6.2% higher microbial populations and 22, 32, and 26% higher fruit yield, respectively, than control soil (Tian et al., 2011). Similarly, the perennial CCs increased the N mineralization rate and MBC by 37 and 41%, respectively, compared to the NCCs (Pandey and Begum, 2010). In organic farming, huge amounts of C are usually incorporated into the soil, replacing mineral fertilizers ultimately increases the SOM content (Lal, 2009). In a recent study, the SOM content was increased in organic farming as compared to non-organic farming (). The introduction of CCs increased the quantity of SOC and improved SOM, microbial biomass carbon, and microbial community structure (Finney et al., 2017). These modifications are essentially based on the characteristics of CCs chemistry and the biotic interactions between plant and soil. Leguminous CCs can fix more atmospheric N due to rhizobia increasing the mineralization and N pool of soil (Schroth et al., 2001). Similarly, previous studies have shown that different CC species had strong correlations with soil microbial biomass, suggesting that milk vetch had the highest microbial biomass N (15.4 mg kg–1) followed by ryegrass (11.3 mg kg–1), while the lowest 6.1 mg kg–1 was observed for the NCCs (Zhu et al., 2012).
Growing CCs create a conducive environment for microbial growth and activities, and upon the decay of CCs, the fungi are attacking residues first followed by bacteria (Hodge et al., 2001). CCs had a positive impact on soil microbial abundance, microbial activity, plant metabolism affecting soil respiration, and plant mineral nutrition (Setyawan et al., 2011), depending on the weather, plant species, and the season of the year. Grasses as CCs played an important role in soil management in citrus orchards and showed that grass roots release stimulating compounds for arbuscular mycorrhizal fungi, which is beneficial for plant growth (Lekberg and Koide, 2005). Legume CCs are more effective at fixing N, which is necessary for protein synthesis and plant growth. According to our estimation, the LCCs increase AMF, fungi, bacteria, MBC, MBN, and total PLFA by 17.37, 19.74, 74.2847.19, 33.1, and 34.4% compared to NCCs, respectively (Figure 3), however, fungi to bacteria ratio (F:B) and MBC:MBN ratio decreased by 0.3 and 5.63%, respectively. These results are in line with the finding of , who reported that the CCs increase SOM content and microbial activity. The cultivation of CCs adds both the above-ground and below-ground biomass to soil (Wang et al., 2010), which raised the soil C and N stocks (Sainju et al., 2006; ). Growing CCs are encouraged to optimize the productive use of N for a subsequent cash crop and increase productivity due to decreased nutrient losses through leaching (Valkama et al., 2016). Furthermore, reducing dependency on mineral fertilizers improved water holding capacity, suppressing insect pests and weeds (Dorn et al., 2015; ; Maltais-Landry and Crews, 2019).
FIGURE 3
Microbial Communities
The introduction of CCs into the agricultural system improves soil and environmental quality through increasing soil microbial population and reducing the application of chemical fertilization (Mitchell et al., 2017). testified that CCs enhanced the soil chemical, physical, and biological properties. CC utilization reduces soil erosion by covering the soil and improves soil quality by cycling nutrients, SOM, and MBC (Kerri and Belina, 2008). CCs significantly impact microbial communities’ size, operation, and structure by increasing soil C inputs (Xi et al., 2010). Soil microorganisms play a significant role in soil feeding, development, and restoration (; Zhou et al., 2017). According to Peregrina et al. (2014), soil microbial population characteristics are strongly linked to microbial biodiversity, soil and plant quality, and ecosystem sustainability. Researchers argued that nutrient cycling and C conservation are driven by soil microbial communities and vegetation species diversity (). Soil microorganisms release enzymes that facilitate the breakdown of complex components in organic materials, and correlate enzymes with soil organic C and N substances, which is an indicators of microbial community due to changes in management systems (Tian et al., 2010).
Cover crops significantly improve SOM and boost soil microbial communities (). In addition, CCs used as GM could boost soil AMF, bacteria, microbial biomass, and total PLFA compared to NCCs (Figure 3). Higo et al. (2018) concluded that LCCs in rotation (corn-legume) form a symbiotic relationship with particular mycorrhizal fungi and bacterial groups. The continuous crop rotations are collectively referred to as legacy effects, such as beneficial legacy impacts enhancing competent AMF richness, AMF spore density, AMF root colonization, and microbial diversity, eventually improving soil health and agricultural production (Higo et al., 2019). Nonetheless, some of these legacy effects may not be necessary, such as replacing capable AMF with non-host crops and escalating the potential for nutrient immobilization and mineralization in subsurface soil in winter-wheat (Somenahally et al., 2018).
Soil Bacteria
The maintenance of biological health is important for restoring deteriorated soil because the living components of the soil are necessary for ecosystem functions and utilities (Lehman et al., 2015). CCs rotation and minimal tillage are approaches for enhancing the sequestration of organic compounds in agroecosystems that seem to be the most significant ecosystem services and significantly impact the soil biota. It was reported that the first principal component (PC1) distinguished the vetch treatments from the NCCs and wheat treatments, accounting for 23.4% of the total variability (Mbuthia et al., 2015). Gram-positive bacteria (i17:0, i16:0, a15:0, a17:0), Gram-negative bacteria (cy19:0ω8c,16.1ω7c), and actinomycetes (10Me16:0, 10Me17:0, 10Me18:0) were found in greater abundance in communities under the vetch CCs treatment. Communities with NCCs and wheat treatments, on the other hand, were linked to the mycorrhizae fungi fatty acid methyl ester biomarker (18:1ω9c) and the saprophytic fungi biomarker (18:2ω6c; Mbuthia et al., 2015). Cover crops and biological fertilizers are critical aspects of soil quality and fertility in organic management systems. Researchers discovered that CCs prevent soil C, boost SOM, reduce nutrient leaching, and LCCs fix N biologically (Snapp and Borden, 2005). CCs influence below ground soil functioning through soil microbial communities, such as nutrient cycling and availability, decomposition and transformation of crop residues, and disease suppression (Garbeva et al., 2004; Van Der Heijden et al., 2008). Cover crops generally increase overall microbial activity, nutrient cycling, and microbial diversity (Lori et al., 2017). Similarly, different compositions of CCs cause various changes in soil microbial populations, such as microbial infection, Gram-positive bacteria, Gram-negative bacteria, and bacterial/fungal ratios (Wortman et al., 2013; ). It was reported that calopo (Calopogonium mucunoides) and callisia (Callisia repens) residues have 30 and 25% higher AMF than NCCs, respectively. However, mixed CCs significantly increased all the soil microbial biomass and community structure but decreased the soil bacteria by 33.25% (Figure 3). A previous study reported that root C content is more critical than residues C in maintaining stable C (Kong and Six, 2012) suggesting that the effect of litter quality on the sequestration of C is crucial (Mueller et al., 2017). Frasier et al. (2016) demonstrated that high quality litter and more effective soil biota would improve SOC stability and ultimately increase its storage.
Cover crops, the most commonly grown vegetation between cash crops, serve as organic matter modifications to the agroecosystems and increase SOC (Sharma et al., 2018). Studies have confirmed that CCs increased SOM and nutrient use efficiency in agroecosystems by reducing nitrate N losses through leaching and drainage, thereby increasing soil bacteria (Rice and Gowda, 2011; ). According to the microbial community structure estimated by PLFA profiles, the total bacterial and Gram-positive bacteria were significantly higher in CCs than in NCCs treatments. The PCoA analysis showed that the first two principal components, PC1 and PC2, accounted for 13.5 and 56.4% of the total bacterial variability. According to the PCoA, bacterial communities were clearly clustered according to their utilization of CCs (Figure 4), suggesting that the PC2 clearly separated the bacterial communities of CCs and NCCs plots. Furthermore, the bacterial community was not significantly affected by CCs with N fertilization in 10–30 cm soil depth (); however, it reduced wind and water erosion (Moreira Rovedder and Foletto Eltz, 2008). The production of CCs improved soil quality and soil biota (Morales Salmeron et al., 2019). CC residues increased the amount of labile C in the agroecosystem, especially in the spring season after harvest, and the primary consumer of this labile C is the microbial community (Fernandez et al., 2016). These results show that glucose is a vital source of energy in microbial metabolism (Mukumbareza et al., 2016).
FIGURE 4
It was observed that cluster 5 (Figure 5) was associated with NCCs, dominated by Proteobacteria, and characterized by Blastocatella fastidiosa and Sphingomonas starnbergensis. The CCs were linked to Cluster 6, which included species from all major and minor phyla and was as described by Aciditerrimonas ferrireducens and Dehalogenimonas alkenigignensi (Figure 5). In CCs, the community was dominated by Actinobacteria, with Oscillochloris trichoides and Streptomyces griseus as characteristic species and containing many species from “other phyla” (
FIGURE 5

Results of the hierarchical clustering of bacterial species composition and used C-sources. (A) Heat-map of C-source groups and species clusters based on their values in the cross-table of the BGCoIA. (B) Relative importance of the clusters across soil depths and among treatments (Nx: conventional N fertilization; N0: no N fertilization; CC: presence of cover crops; No_CC: bare soil conditions). (C) Distribution of the main bacterial phyla among clusters. (D) Projection of the clusters and their constitutive species in the diagram defined by the first two BGCoIA axes. Only the name of the most characteristic species for each cluster is reported. (E) Projection of the groups and their constitutive C sources in the diagram defined by the first two BGCoIA axes. (Copied with permission from
Soil Fungi
Kingdom fungi include a morphologically diverse group of species extending from single lad yeast to macro fungi, forming networks in soil over many meters. Fungi have attracted attention as major crop pathogens in cultivated agriculture. Nevertheless, they also play a key role in nutrient cycling via dead organic matter catabolism and mycorrhizal symbionts (Chavarria et al., 2016). In cultivated and grassy soils, AMF such as Glomeromycota is the primary mycorrhizal symbiont. Mycorrhizal colonization increased by 35, 29.4, and 20.9%, with hairy vetch, mixed CCs, and Indian mustard in maize crops, respectively. This suggests that releasing isothiocyanates in soil resulted in higher shoot biomass, N, and phosphorus content across all maize genotypes with mycorrhizal colonization (Njeru et al., 2013). However, recent progress in plant-soil interactions suggests that fungi have a broader range of effects that interact with higher grassland plants and thus play an important role in plant nutrition (Higo et al., 2017). CCs minimized nitrate leaching and plant disease and increased microbial populations and community structure (Singh and Kumar, 2021). White clover crop mulching increased AMF colonization and maize production (Deguchi et al., 2012). It has also been stated that the introduction of CCs during the bare fallow season increases the AMF inoculum capacity, AMF colonization, and production of subsequently cultivated major crops (Hontoria et al., 2019). Canonical correspondence analysis showed the relationships between AMF communities and winter CCs, revealing that winter CCs had a significant impact (F = 3.187, P = 0.001) on AMF communities (Higo et al., 2015).
Arbuscular mycorrhizal fungi provide many advantages in the symbiosis process for most plant species among various classes of microorganisms. Smith and Read (2008) suggested that AMF offered numerous benefits for host plants, including enhanced nutrition uptake, particularly in poor nutrient soils and plants tolerance to biotic and abiotic stresses. The AMF significantly improves agroecosystems sustainability and productibility while simultaneously decreasing the use of synthetic fertilizers (Lehman et al., 2015). Cover crops in agricultural practices permit native inoculum recovery and biodiversity, which are of particular interest to low-input systems (Martinez-Garcia et al., 2018). According to a structural equation model, root colonization (λ = 1.149) and maize phosphorus uptake (λ = 1.185) had immediate strong positive effects on crop performance, whereas AMF diversity (λ = 0.395) had intermediate positive effects (Higo et al., 2018). A recent study has shown that replacing fallow with CCs during intercropping time improves AMF root colonization in the succeeding cash crop (
Cover crop with negligible or zero tillage facilitate mycelium and make colonization faster (
FIGURE 6

Distance-based redundancy analysis (db-RDA) plot showing the relationship of abiotic soil factors and plant functional group identities to community composition of AMF (A), archaea (B), and fungi (D). Community composition of protists (C) could not be explained by any of the factors measured; therefore, a non-metric multidimensional scaling (NMDS) of the community is shown instead. The plant functional groups tested were grasses (G; green), legumes (L; red), small herbs (SH; yellow), and tall herbs (TH; blue). The ordination is based on Bray–Curtis distance. With forward selection, factors were chosen that significantly (Padj < 0.05) contributed to the model. In each window, the percentage of explained variation is shown. (Adapted from Dassen et al., 2017 under the terms of the Creative Commons Attribution License 4.0).
Role of Soil Microbes in Greenhouse Gas Emissions
Crop production is the focusing center of agriculture in the world. It is making a tremendous contribution to the supply of food. CC growing and its residue management is an essential cultural practice for improving productivity and decreasing GHGs on a sustainable basis.
Greenhouse Gas Emissions
Agricultural soils are supposed to be a significant source of greenhouse gas (GHG) emissions, primarily nitrous oxide (N2O) and methane (CH4) as reported (IPCC, 2007). Over the past 100 years, the average global surface temperature has increased by 0.3–0.6°C due to the increase in GHG emissions (He et al., 2009). Carbon dioxide, N2O, and CH4 are the three main GHGs, and the increase in CO2 concentration contributes the most to the greenhouse effect (Ozturk and Acaravci, 2010). GHG emissions due to agricultural farming account for 10–12% of total GHG emissions. Agriculture is a large-scale human activity and has an important impact on global greenhouse emissions (Shelton et al., 2017). Numerous agricultural activities (e.g., irrigation, N fertilization, residues management) have been found to drive variables for these gas emissions during the crop cycle (IPCC, 2007; Muhammad et al., 2022). Some of these activities often impact gas emissions during the fallow period, particularly crops with low N use efficiency (NUE), while significant quantities of mineral N remain in the soil after the harvest (Sanchez et al., 2019). Intensively irrigated and fertilized agricultural systems generally have high levels of inorganic N that are lost in the ecosystem via leaching or denitrification during fallow or crop periods (Sanz-Cobena et al., 2012). Replacing bare fallow with CCs in the agricultural system is one of the most agronomic strategies for increasing the retention of inorganic surplus N and reducing nutrient losses (nitrate) through leaching (Dinnes et al., 2002).
In Mediterranean climate zones, winter CCs are used as catch crops (Gabriel and Quemada, 2011). However, due to CCs, the N and water requirements change and C pools may affect the processes leading to GHG emissions. CC root depth, crop N, water requirements, rhizosphere nutrient release, and climate change adaption are strategic factors for mitigating GHGs (Gabriel and Quemada, 2011). In this context, cereals crops generally reduce soil N content in the early growth stages due to higher N uptake and reduced losses through drainage water (Thorup-Kristensen et al., 2003; Moeller et al., 2008). Whereas cruciferous plants have a greater capacity to absorb N in deeper rooting systems at later growth stages and are more easily extracted from the deeper areas (Thorup-Kristensen et al., 2003). Legumes were assessed as catch crops, and it was shown that 50 to 60% of the N in legume tissue mainly comes from N absorption (Pappa et al., 2011). The soil alterations that affect GHGs during the CCs formation and its relation with GHGs are limited (
After harvesting, CCs biomass is typically used as GM to reuse the N reserved in residues biomass and contribute to sustainable long-term soil fertility (Chirinda et al., 2010). The quality of CCs is mainly dependent on the C:N ratio, crop lignin content, and the N fixing capability, which affect the dynamics of C and N (Sofi et al., 2018). Incorporating crop residues into fertile soils will increase N2O emissions from cultivated soils (
Carbon Dioxide Emissions
Greenhouse gas emissions from agricultural soils are affected by a variety of factors. After CCs introduction to the soil, the C and N cycle, pH, and biomass (microorganisms, roots, etc.) change, which affects GHG emissions in agriculture soil.
To use CCs, farmers select species that fulfill two functions: to keep soil protection and fertility in balance. Xiao et al. (2013) reported that CCs increased SOC content and changed it to a water-soluble form in the soil, thereby affecting the CO2 emission mode. Compared to NCC, the winter LCCs in the growing season had significantly higher CO2 emissions than in the rainy season. The range between NCCs (96.92 to 259.05 mg CO2 m–2 h–1) and winter LCCs (106.28 to 353.01 mg CO2 m–2 h–1) are shown in Table 1. Common vetch as a GM resulted in lowering soil C:N and higher CO2 emissions (range of CO2 8.09 to 10.58 g CO2 m–2 h–1), enzyme activity, and N release. Conversely, the GM of rye grass had a slightly lower CO2 emission than vetch CCs (range of CO2 emissions; 6.63 to 8.19 g CO2 m–2 h–1) and early soil N immobilization (Table 1). In contrast, NLCCs decreased CO2 emissions. Winter LCCs treatment had the greatest effect on soil CO2 and N2O emissions under furrow irrigation (Kallenbach et al., 2010). Zhou et al. (2019) suggested that CCs provide a C source for microorganisms, which promotes microbial growth and metabolism, thereby increasing CO2 emissions. A researcher demonstrated that CCs incorporation increases the content of water-stable aggregates in the surface soil, which positively correlated with CO2 emissions (Uliarte et al., 2013). In addition, CCs mulching can indirectly affect soil CO2 emissions by changing conditions such as preventing soil water losses and maintaining soil temperature. Kokalis-Burelle et al. (2017) reported that mulching of sun hemp as a CC improves the living environment of soil microorganisms increases microbial activity and may lead to increased CO2 emissions. Researchers found that CO2 emissions from bare land were much higher than those of CCs treatment, mainly because mulching reduced surface soil temperature and prevented the soil from emitting CO2 into the atmosphere (Li et al., 2013; Liang et al., 2017).
TABLE 1
| Author | Soil-types | Vegetation | Cover crop | CC type | Range of CO2 emissions | Units | |
| Control | Cover crop | ||||||
| Kallenbach et al., 2010 | Coarse-loamy | Tomato | Winter legume | Legume | 259.05 | 307.66 | mg CO2 m–2 h–1 |
| Kallenbach et al., 2010 | Coarse-loamy | Tomato | Winter legume | Legume | 215.36 | 353.01 | mg CO2 m–2 h–1 |
| Kallenbach et al., 2010 | Coarse-loamy | Tomato | Winter legume | Legume | 96.92 | 106.29 | mg CO2 m–2 h–1 |
| Kallenbach et al., 2010 | Coarse-loamy | Tomato | Winter legume | Legume | 106.07 | 162.22 | mg CO2 m–2 h–1 |
| Mancinelli et al., 2013 | Sandy loam | Sweet pepper | Rye grass | Non-legume | 5.17 to 6.53 | 6.63 to 8.19 | g CO2 m–2 h–1 |
| Mancinelli et al., 2013 | Sandy loam | Sweet pepper | Common vetch | Legume | 5.17 to 6.53 | 8.09 to 10.58 | g CO2 m–2 h–1 |
| Uliarte et al., 2013 | Clay/silt | Vineyards | Festuca arundinacea | Non-legume | 0.28 to 0.58 | –1.4738 | g CO2 m–2 h–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Barley | Non-legume | 2.71 to 9.01 | 5.16 to 16.54 | kg CO2-C ha–1 d–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Rape | Non-legume | 2.71 to 9.01 | 3.97 to 12.28 | kg CO2-C ha–1 d–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Vetch | Legume | 2.71 - 9.01 | 2.98 to 16.06 | kg CO2-C ha–1 d–1 |
| Silt loam | Soybean | Rye | Non-legume | 2.64 to 4.06 | 3.23 to 3.68 | μmol m–2 s–1 | |
| Negassa et al., 2015 | Fine loamy | Maize/soybean | Rye | Non-legume | 73.03 to 136.18 | 87.17 to 151.73 | mg CO2 m–2 h–1 |
| Hwang et al., 2017 | Clay loam | Rice | Barley | Non-legume | 72.62 to 172.81 | 188.33 to 219.04 | mg CO2 m–2 h–1 |
| Hwang et al., 2017 | Clay loam | Rice | Hairy Vetch | Legume | 72.62 to 172.81 | 173.32 to 274.31 | mg CO2 m–2 h–1 |
| Hwang et al., 2017 | Clay loam | Rice | Barley + Vetch | Mixed | 72.62 to 172.81 | 200.43 to 297.24 | mg CO2 m–2 h–1 |
| Sandy loam | Spring barley | Mustered | Non-legume | 24.51 | 26.09 | mg CO2-C m–2 h–1 | |
| Xavier et al., 2013 | Sandy loam | Dwarf cashew | Butterfly pea and pigeon pea | Legume | 7.47 to 5.54 | 7.47 to 8.57 | mg CO2-C kg–1 soil day–1 |
| Peregrina, 2016 | Fine-loamy | Vitis vinifera L. Vineyard | Resident vegetation | Non-legume | 0.231 to 0.231 | 0.41 to 0.45 | μmole CO2- m–2 S–1 |
| Steenwerth and Belina, 2008 | Coarse–loamy | Vineyard | Rye | Non-legume | 2.5 to 13.41 | 6.47 to 16.2 | μg CO2-C m–2 S–1 |
| Steenwerth and Belina, 2008 | Coarse–loamy | Vineyard | Trios | Non-legume | 2.50 to 13.41 | 4.37 to 22.92 | μg CO2-C m–2 S–1 |
| Silt loam | Tomato | Winter mustard | Non-legume | 52.17 to 151.63 | 71.73 to 228.26 | mg CO2-C m–2 h–1 | |
| Rosecrance and Teasdale, 2000 | Coarse-loamy | Maize | Rye | Non-legume | 1.37 to 59.32 | 4.99 to 544.36 | mg core–1 |
| Rosecrance and Teasdale, 2000 | Coarse-loamy | Maize | Vetch | Legume | 1.37 to 59.32 | 9.99 to 558.60 | mg core–1 |
| Rosecrance and Teasdale, 2000 | Coarse-loamy | Maize | Rye + Vetch | Mixed | 1.37 to 59.32 | 3.84 to 552.71 | mg core–1 |
| Sandy clay loam | Rice | Sesbania aculeata | Legume | 14.80 to 35.25 | 14.81 to 68.06 | mg m–2 h–1 | |
| Liebig et al., 2010 | Silt loam | Wheat | Rye | Non-legume | 5.52 to 45.71 | 8.23 to 49.80 | mg CO2-C m–2 h–1 |
| Silt loam soil | Maize | Rye | Non-legume | 194 to 490 | 132 to 937 | kg CO2-C ha–1 | |
| Silt loam soil | Maize | Bean | Legume | 194 to 490 | 314 to 901 | kg CO2-C ha–1 | |
Role of different cover crop types (legume, non-legume, and mixed) in soil carbon dioxide emissions (CO2).
Nitrous Oxide Emissions
Cover crop will minimize N losses from agricultural practices by minimizing both nitrate leaching and ammonia plus nitrous oxide transport to the atmosphere (Lacey and Armstrong, 2015). Nitrous oxide is the major contributor to global warming from the agricultural farming system (IPCC, 2007), which is released in soils primarily through two coupled microbial processes; nitrification in aerobic and denitrification in anaerobic environments (
TABLE 2
| Author | Soil-types | Vegetation | Cover crop | Cc type | Range of N2O emissions | Units | |
| Control | Cover crop | ||||||
| Kallenbach et al., 2010 | Coarse-loamy | Tomato | Winter legume | Legume | 21.46 | 55.46 | μg N2O m–2 h–1 |
| Kallenbach et al., 2010 | Coarse-loamy | Tomato | Winter legume | Legume | 26.05 | 82.76 | μg N2O m–2 h–1 |
| Kallenbach et al., 2010 | Coarse-loamy | Tomato | Winter legume | Legume | 45.98 | 148.66 | μg N2O m–2 h–1 |
| Kallenbach et al., 2010 | Coarse-loamy | Tomato | Winter legume | Legume | 103.45 | 183.14 | μg N2O m–2 h–1 |
| Garland et al., 2011 | Silty clay | Grape vineyard | Mix legumes | Legume | 1.71 to 1.90 | 0.60 to 1.06 | kg N2O-N ha–1 d–1 |
| Mitchell et al., 2013 | Clarion loam series | Maize–soybean | Rye | Non-legume | 1.52 to 5.06 | 1.03 to 5.14 | kg N2O-N ha–1 d–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Barley | Non-legume | –0.26 | 0.02 | g N2O-N ha–1 d–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Rape | Non-legume | –0.26 | 0.72 | g N2O-N ha–1 d–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Vetch | Legume | –0.26 | 0.03 | g N2O-N ha–1 d–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Barley | Non-legume | 0.31 to 0.50 | 0.93 to 3.09 | g N2O-N ha–1 d–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Rape | Non-legume | 0.31 to 0.50 | 0.34 to 1.35 | g N2O-N ha–1 d–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Vetch | Legume | 0.31 to 0.50 | 1.98 to 3.17 | g N2O-N ha–1 d–1 |
| Pramanik et al., 2014 | Silt loam | Rice | Barley + hairy vetch | Mixed | 0.41 | 0.32 to 0.37 | mg m–2 h–1 |
| Steenwerth and Belina, 2008 | Loam series | Rice | Rye | Non-legume | 1.51 | 2.33 | g N2O-N ha–1 d–1 |
| Steenwerth and Belina, 2008 | Loam series | Rice | Trios | Legume | 1.51 | 1.98 | g N2O-N ha–1 d–1 |
| Jarecki et al., 2009 | Silty clay loam | Maize–soybean | Rye | Non-legume | 2.10 to 8.87 | 3.04 to 6.37 | kg N2O-N ha–1 |
| Silt loam | Soybean | Winter rye | Non-legume | 0.162 to 1.79 | 0.27 to 1.17 | nmol m–2 s–1 | |
| Sandy loam | Spring barley | Mustard | Non-legume | 41.21 to 56.92 | 51.45 to 70.79 | g N2O-N ha–1 d–1 | |
| Sarkodie-Addo et al., 2003 | Silt loam | Maize | Rye | Non-legume | 8.17 to 13.97 | 7.83 to 19.30 | g N2O-N ha–1 d–1 |
| Sarkodie-Addo et al., 2003 | Silt loam | Maize | Winter wheat | Non-legume | 7.51 to 22.11 | 6.21 to 36.96 | g N2O-N ha–1 d–1 |
| Negassa et al., 2015 | Fine loamy | Maize | Rye | Non-legume | 0.176 to 0.202 | 0.17 to 0.20 | mg m–2 h–1 |
| Hwang et al., 2017 | Clay loam | Rice | Barley | Non-legume | 0.07 to 0.1083 | 0.05 to 0.07 | mg m–2 h–1 |
| Hwang et al., 2017 | Clay loam | Rice | Hairy vetch | Legume | 0.07 to 0.1083 | 0.11 to 0.12 | mg m–2 h–1 |
| Hwang et al., 2017 | Clay loam | Rice | Barley + hairy vetch | Mixed | 0.07 to 0.1083 | 0.10 to 0.14 | mg m–2 h–1 |
| Sandy loam | Spring barley | Mustard | Non-legume | 44.20 | 58.04 | g N2O-N ha–1 d–1 | |
| Petersen et al., 2011 | Loamy sandy soil | Spring barley | Fodder radish | Non-legume | 44.44 to 58.60 | 62.59 to 97.28 | g N2O-N ha–1 d–1 |
| Zhao et al., 2015 | Anthrosols | Rice | Rice/fava bean | Legume | 0.51 to 3.69 | 0.20 to 1.28 | μg N2O m–2 h–1 |
| Zhao et al., 2015 | Anthrosols | Rice | Rice/milk vetch | Legume | 0.51 to 3.69 | 0.27 to 1.18 | μg N2O m–2 h–1 |
| Guardia et al., 2016 | Silty clay loam | Maize | Barley | Non-legume | 0.03 to 0.81 | 0.07 to 0.50 | mg N2O-N m–2 d–1 |
| Guardia et al., 2016 | Silty clay loam | Maize | Vetch | Legume | 0.03 to 0.81 | 0.04 to 1.00 | mg N2O-N m–2 d–1 |
| Parkin and Kaspar, 2006 | Fine loamy | Maize | Rye | Non-legume | 39.85 to 59.06 | 33.03 to 65.03 | g N2O-N ha–1 d–1 |
| Parkin and Kaspar, 2006 | Fine loamy | Soybean | Rye | Non-legume | 13.86 to 28.67 | 15.57 to 27.71 | g N2O-N ha–1 d–1 |
| Parkin et al., 2006 | Clay loam | Soybean | Rye | Non-legume | 0.02 to 0.37 | 0.04 to 0.23 | g N m–2 |
| Silt loam | Tomato | Oat | Non-legume | 0.01 to 0.24 | 0.01 to 0.32 | mg N2O-N m–2 h–1 | |
| Rosecrance and Teasdale, 2000 | Coarse-loamy | Maize | Cereal rye | Non-legume | 0.08 to 2.04 | 0.10 to 0.72 | ng g–1 d–1 |
| Rosecrance and Teasdale, 2000 | Coarse-loamy | Maize | Hairy vetch | Legume | 0.08 to 2.04 | 0.59 to 10.71 | ng g–1 d–1 |
| Rosecrance and Teasdale, 2000 | Coarse-loamy | Maize | Hairy vetch + cereal rye | Mixed | 0.08 to 2.04 | 0.155 to 1.49 | ng g–1 d–1 |
| Rosecrance and Teasdale, 2000 | Silt loam | Maize | Cereal rye | Non-legume | 0.29 to 4.89 | 2.59 to 42.65 | ng g–1 d–1 |
| Rosecrance and Teasdale, 2000 | Silt loam | Maize | Hairy vetch | Legume | 0.29 to 4.89 | 3.70 to 33.70 | ng g–1 d–1 |
| Sandy clay loam | Rice | Sesbania aculeata | Legume | 3.57 to 7.63 | 4.61 to 25.30 | μg m–2 h–1 | |
| Liebig et al., 2010 | Silt loam | Wheat | Rye | Non-legume | –0.25 to 18.62 | –8.26 to 24.32 | μg N2O-N m–2 h–1 |
| Xiong et al., 2002 | Hydragric anthrosols | Early rice | Vetch | Legume | 9.90 to 21.00 | 11.10 to 167 | μg N m–2 h–1 |
| Silt loam soil | Maize | Rye | Non-legume | 104 to 312 | 158 to 3542 | g N2O-N ha–1 | |
| Silt loam soil | Maize | Bean | Legume | 104 to 312 | 113 to 2581 | g N2O-N ha–1 | |
| Omonode et al., 2009 | Silty clay loam | Maize | Soybean | Legume | 0.02 to 651.81 | 0.71 to 558.64 | g N2O-N ha–1 d–1 |
| Dietzel et al., 2011 | Howard gravelly loam | Maize | Rye | Non-legume | 16.44 to 94.68 | 7.69 to 93.12 | ng N2O-N cm–2 h–1 |
| Fronning et al., 2008 | Sandy loam | Maize | Rye | Non-legume | –0.44 to 46.56 | 0.08 to 31.01 | g N2O-N ha–1 d–1 |
Role of different cover crop types (legume, non-legume, and mixed) in nitrous oxide emissions (N2O).
Cover crops are most commonly used as catch crops to mitigate nitrates leaching during fall and winter periods (Plaza-Bonilla et al., 2015). Legume CCs alone or in combination with NLCCs as a GM provide additional N for the subsequent crop (Tribouillois et al., 2015). When compared to unfertilized plots, CCs had higher mean daily N2O emissions but lower yearly N2O emissions when compared to fertilized cropping systems. CC treatments had a two- to fourfold higher potential for nitrification, mineralization, and denitrification than conventional cultivation. Thus, CCs improved the soil capacity to support higher MBN, potential N mineralization, and microbiological functions of nitrification and denitrification. Kerri and Belina (2008) found that total soil C content was 40–50% higher in soils under five consecutive years of annual CCs than continuously cultivated soil. Cover crops also influence the quality of soil water by rising transpiration rate than bare soil. In general, existing studies show little effect of CCs (LCCs or NLCCs) on N2O emissions, particularly when results are integrated on the basis of residues quality and quantity (Muhammad et al., 2019). According to a meta-analysis, the effect of CCs on N2O emissions is mostly influenced by the residues C:N ratio, climatic condition, and residues management practices (Muhammad et al., 2019). Similarly, another meta-analysis demonstrated that the introduction of CCs residues into soil often leads to a short-term increase in N2O emissions, especially for LCCs (
Higher precipitations have a deleterious effect on N2O emissions from CCs fields. CC residue incorporation through tillage has a significant impact on soil structure, soil water dynamics, soil nutrients, and organic residues, which may have an impact on crop production (Gregorich et al., 2008; Negassa et al., 2015). Soil N2O is mainly produced by soil microorganisms through nitrification and denitrification. Similarly, farmland cultivation measures also affect the soil N2O emission process by affecting soil temperature, humidity, and nutrient status (Sanz-Cobena et al., 2012). A previous study reported that CCs mulching significantly reduces N2O emissions (Fiorini et al., 2020), whereas some researchers have found that soil N2O emissions significantly increased with CCs incorporation (Snapp and Borden, 2005; Tang et al., 2015). Compared to saturated moisture, higher soil moisture content (45–75%) had significantly higher N2O emissions. Nitrous oxide emissions increase with higher soil water content and gradually decrease after reaching saturated water content (Sheppard et al., 2013).
Methane Emissions
Cold-resistant legumes like Chinese milk vetch and hairy vetch and NLCCs like rye and barley could be the only option for winter CCs in temperate countries with cold and dry weather during winter seasons. Vetch is considered the most common GM in rice fields due to its high N-fixing capacity to adapt to harsh winter conditions and better growth in wet paddy soil. Hwang et al. (2017) demonstrated that hairy vetch and barley mixtures as GM are favored in rice paddy soil because of their higher biomass productivity than sole vetch or barley crops and stronger resistance to winter drought (
As shown in Table 3, the CH4 emission ranges from 73.52–83.08 mg CH4 m–2 h–1 in milk vetch CCs, which is significantly higher than control (0.74–26 mg CH4 m–2 h–1), and rye CCs (1.11–80.14 mg CH4 m–2 h–1) in rice paddy soil (Sang et al., 2012). Most lowlands are under entirely irrigated or rain-fed conditions, and their cultivation serves as an important source of CH4 emissions (Zschornack et al., 2016). The average global CH4 emissions from rice paddy fields are reported to be around 11% of the overall anthropogenic CH4 emissions (Yan et al., 2009). It was stated previously that the production of rice, which was 473 million tons in 1990, needs to be increased by 39.43% in 2020 to meet the world population food demand and that anthropogenic CH4 emissions have been raised by 40–50% (Lee et al., 2010). Since CH4 is primarily produced under strictly anaerobic conditions, it might be because of the decay of organic matter through archaeal methanogens (Chandio et al., 2020). Similarly, the introduction of organic materials such as GM into flooded rice fields will promote CH4 emissions by methanogens with readily available C. Agricultural Mediterranean soils produce significant CH4 emissions through methanogens in flooded crops (e.g., rice), which represent 6% of the total agricultural production (Sanz-Cobena et al., 2017). Methane emissions mainly depend on residue incorporation, and the CH4 emissions increase from rice paddy soil by 100–500 kg CH4 ha–1 year–1 when the straw is added at the rate of 0–7 tha–1 (Sanchis et al., 2012). Improved crop production approaches are likely to clash with the extenuation of CH4 emissions (Yan et al., 2009).
TABLE 3
| Author | Soil-types | Vegetation | Cover Crop | CC type | Range of CH4 emissions | Units | |
| Control | Cover crop | ||||||
| Sang et al., 2012 | Fine silty | Rice | Rye | Non-legume | 0.74 to 25 | 1.11 to 80.14 | mg CH4 m–2 h–1 |
| Sang et al., 2012 | Fine silty | Rice | Milk vetch | Legume | 0.74 to 26 | 73.52 to 83.08 | mg CH4 m–2 h–1 |
| Sanz-Cobena et al., 2014 | Silty clay loam | Maize | Barley | Non-legume | 0.08 to 5.05 | 0.084 to 5.96 | g CH4-C ha–1 d–1 |
| Silt loam | Soybean | Winter rye | Non-legume | 0.05 to 0.27 | 0.03 to 0.25 | nmol m–2s–1 | |
| Changhoon et al., 2010 | Fine silty mixed mesic, | Rice | Chinese milk vetch | Legume | 8.99 to 85.39 | 5.99 to 316.11 | mg m–2 h–1 |
| Haque et al., 2013 | Silt loam | Rice | Barley + Vetch | Mixed | 3.75 to 13.13 | 7.15 to 180.17 | mg m–2 h–1 |
| Peyrard et al., 2016 | Calcareous clay | Wheat-sunflower | Barley | Non-legume | 0.09 to 1.04 | 0.51 to 1.55 | mg m–2 h–1 |
| Peyrard et al., 2016 | Calcareous clay | Wheat-sunflower | Hairy Vetch | Legume | 0.09 to 1.04 | 0.16 to 3.17 | mg m–2 h–1 |
| Peyrard et al., 2016 | Calcareous clay | Wheat-sunflower | Barley + Vetch | Mixed | 0.09 to 1.04 | 0.21 to 1.96 | mg m–2 h–1 |
| Peyrard et al., 2016 | Calcareous clay | Wheat-sunflower | Barley | Non-legume | 2.01 to 19.15 | 1.00 to 172.37 | mg m–2 h–1 |
| Peyrard et al., 2016 | Calcareous clay | Wheat-sunflower | Hairy Vetch | Legume | 2.01 to 19.15 | 1.00 to 50.40 | mg m–2 h–1 |
| Peyrard et al., 2016 | Calcareous clay | Wheat-sunflower | Barley + Vetch | Mixed | 2.01 to 19.15 | 2.01 to 186.49 | mg m–2 h–1 |
| Hwang et al., 2017 | Clay loam | Rice | Barley | Non-legume | –1.60 to 25 | 18 to 170 | mg m–2 h–1 |
| Hwang et al., 2017 | Clay loam | Rice | Hairy Vetch | Legume | –1.60 to 25 | –1 to 130 | mg m–2 h–1 |
| Hwang et al., 2017 | Clay loam | Rice | Barley + Vetch | Mixed | –1.60 to 25 | 1 to 190 | mg m–2 h–1 |
| Sandy loam | Spring barley | Mustard | Non-legume | 0.05 to 0.50 | 0.01 to 0.47 | g CH4-C h–1 d–1 | |
| Sandy clay loam | Rice | Sesbania aculeata | Legume | 1.92 to 3.02 | 2.81 to 8.64 | mg m–2 h–1 | |
| Fronning et al., 2008 | Sandy loam | Maize | Rye | Non-legume | 1.20 to 1.50 | 1.10 to 50 | g CH4-C h–1 d–1 |
Role of different cover crop types (legume, non-legume, and mixed) in soil methane emissions (CH4).
Residues C:N Ratios and Greenhouse Gas Emission
Cover crop residue C:N ratios have a direct impact on soil GHG (CO2, N2O, and CH4) emissions. Results showed that residues with a high C:N ratio significantly increase CO2 and CH4 fluxes while decreasing N2O flux. These results are in line with the finding of earlier researchers (Muhammad et al., 2019), who documented that CO2 emissions are positively and N2O emissions are negatively affected by increasing the residues C:N ratios. Huang et al. (2002) reported that seasonal N2O emission from wheat-cultivated soil was negatively correlated with increasing soil C:N ratio. The N2O/NO3– ratio and N2O emission rate increased with decreasing C:N ratio in organic amendments in a well-aerated soil (Melling et al., 2007). Reddy and Crohn (2014) demonstrated that the rate of N2O production is partially controlled by C susceptible through the mineralization process. Compared with wheat monoculture, wheat-chickpea crop rotation showed a C sequestration rate of 0.53 Mg C ha–1 y–1 during 20 years (López-Bellido et al., 2010), which could be related to the fluxes of CO2. Huang et al. (2004) found that the root decay content was strongly negatively correlated with increasing the root residue C:N ratio. Similarly, Khalil et al. (2002) reported that N2O production was increased by decreasing the C:N ratio of different organic materials. In addition, Kato et al. (2011) found a strongly negative correlation between the mean annual N2O emission and C:N ratio of tropical rain forest soils. Residues with lower C:N decomposed more rapidly, might provide a greater opportunity for producing more dissolved organic C, hence resulting in higher N2O emissions.
Low C:N Ratio Residues
Cover crops develop resistance against pests, weeds, and potential environmental degradation, improve soil quality, and thus increase the production of subsequent cash crops (Neely et al., 2018). Leguminous CCs release N into the soil and thus enhance crop yield (Holman et al., 2018). Lentil (Lens culinaris Medik), field pea (Pisum sativum L.), and faba bean (Vicia faba L.) were used as LCCs for potential N fixation in rotation with cash crops. The biennial clover (Melilotus officinalis L.) has advantages over annual legumes because of its low seed costs, a strong competitor to weeds, and high productivity in biomass production and N fixation in semi-arid environments (Ravenel et al., 2015). Intercropping LCCs with winter cereals may have fixed atmospheric N2, but after winter cereal harvest, they may show maximum growth and N fixation. Cover crops such as alfalfa (Medicago sativa L.) and red clover (Trifolium pratense L.) had higher production of biomass and added N to winter wheat crops due to their faster decomposition rate (Chen et al., 2006). The research revealed that alfalfa and red clover as relay crops and lentil and chickling vetch (Lathyrus sativus L.) as double crops were productive legumes in a cereal cropping system in winter (Martens and Entz, 2001). It has been shown that alfalfa and red clover can fix significant amounts of N without adversely affecting the winter wheat yield in moderate to high rainfall regions (Martens and Entz, 2001), while the incorporation of these crops into the soil increases soil health due to mineralization through soil microorganisms (Li et al., 2019). Similarly, alfalfa and red clover showed potential for N fixation in moderate to high rainfall areas without adversely affecting the yield of winter wheat (Martens et al., 2001).
High C:N Ratio Residue
The CCs are selected based on N-fixing capacity, biomass quality (C:N ratios), and quantities in many agricultural systems. However, there is insufficient evidence to suggest that crops increase soil fertility, crop yield, and soil microbial populations (
Optimum C:N Ratio Residues or Mixed Residues
Mixed CCs are an important management method used extensively to increase SOM and subsequently increase cash crop productivity (Sainju and Singh, 2008). Growing CCs can provide physical protection to the soil by reducing the impact of rainfall and also improve soil structure and aggregation (Tang et al., 2017), and similarly improve soil microorganisms (
Termination Method to Mitigate Greenhouse Gas Emissions
The goal of cultivation and the availability of machinery are the two main factors that mitigate GHG emissions. The CCs are terminated through incorporation, surface mulch, and/or removal, as well as using herbicide for killing or improving the productivity of the following cash crop. The influence of CCs variety, termination timing, and termination method on mulch, weed cover, and soil nitrate in organic systems plays a vital role in GHG emissions.
Residues Incorporation
A traditional termination method involves using a fixed machine-driven disk to NCCs and CCs plot (Figure 7A) to incorporate residues into the soil (Jani et al., 2016; Rojas et al., 2018). Termination of CCs through disking results in rapid residue decomposition and release of nutrients due to close contact with soil microorganisms. As a result, microbial decomposition has been facilitated by better residue soil interaction and higher levels of soil oxygen. Cover crop incorporating through disking improved the total bacteria population while decreasing or stabilizing the populations of fungi and actinomycetes (Elfstrand et al., 2007). The incorporation of barley and rape CCs residue increased the soil respiration by 21 and 28%, respectively. The CH4 emissions were decreased with CCs incorporation with mean values of –0.12 and –0.10 kg CH4–C ha–1 for plots with and without CCs, respectively (Table 3; Sanz-Cobena et al., 2014). Fungi abundance and reduction in the disked soils could be due to high lignin materials, increased soil disturbance, and reduced soil moisture (Elfstrand et al., 2007). Incorporating CCs residue into the soil increased CO2 and N2O emissions compared to residue placed on the soil surface because of increased contact with soil microorganisms.
FIGURE 7

(A,B) Examples of cover cropping termination methods (incorporation, mulching, and removing), and the concept of cover crop residues biomass and soil microbes interaction.
Tillage practices expose more residue to microorganisms, which enhances aeration and microbial activity, resulting in higher CO2 and N2O emissions (
Residues Mulching
Using a rotary or flail mower to terminate CCs cuts the residue into slices and shreds the residue on the soil surface (Rose et al., 2016). In early fall, the soil microbial biomass was 150 mg C kg–1 soil, which is 50% higher than in late spring (100 mg C kg–1 soil; Zibilske and Makus, 2009). Mowing rye at the vegetative growth stage resulted in regrowth, which eventually resulted in water and nutrient competition with subsequent cash crops (Kornecki et al., 2009). The termination of CCs with rotating mowers can be difficult due to the irregular size and dispersal of plant remains. Compared to the arable weed community present in NCCs plots, LCCs increased total PLFA concentration by 5.37 nmol g–1 and 10.20 nmol g–1 in the fall and spring (Finney et al., 2017). Hairy vetch was positively associated with non-AMF (Vicia villosa L.). The associations between CCs and microbial groups were found in monocultures and in multispecies CC mixtures (Finney et al., 2017). In comparison to CCs incorporation, CCs termination with a flail mower may be important in controlling soil nutrient transformations and SOM maintenance in subtropical climates, which regulate soil temperature and moisture at more suitable levels for microbial activity and residue decomposition (Zibilske and Makus, 2009; Khan et al., 2021). Moreover, another study found that flail-mowing is difficult to achieve uniform mulching, allowing weeds to emerge via thin openings (Teasdale et al., 2007; Wegner et al., 2018).
Mechanical mowing of rye, mustard, and hairy vetch mixture improved N mineralization. Compared to the NCCs treatment, white mustard (Sinapis alba L.), Lacy phacelia (Phacelia tanacetifolia Benth. LP), and hairy vetch (Vicia villosa Roth) mulching increased microbial biomass C by 38, 80, and 44%, respectively. These increases could be due to the increase in soil C and N by 19 and 44% in white mustard, 6 and 2% in Lacy phacelia, and 10 and 13% in hairy vetch, respectively, when compared to NCCs (Marinari et al., 2015). Several studies have found that incorporating CC residues increases N2O emissions when compared to surface placement (
Timing is the most crucial factor when operating a roller-crimper for CCs termination. Termination of grass CCs should occur once flowering has begun (Figure 7B), while LCCs should be terminated after pods formation. The CCs will not be terminated successfully if it is performed too late (McMechan et al., 2021; Werle et al., 2021). The use of a roller-crimper is one of the best ways to suppress weeds with CCs residue (Mirsky et al., 2009). To avoid competing with cash crops for water and nutrients, effective termination of CCs with a roller-crimper is critical (
Residue Removal With Herbicide Application
Non-selective herbicides are commonly used for terminating the CCs because they are effective at all growth phases (Clark et al., 2007). These have low application costs and the ability to terminate CCs on a large scale within a short period of time (Hay et al., 2019; Farooq et al., 2022). As the role of herbicides in non-target species has increased, along with their negative impact on these species, there is an increased desire to learn about their impact on plant nutrition and nutrient cycling (Cornelius and Bradley, 2017). Previous studies have demonstrated that glyphosate has no impact on soil microorganisms diversity and activity (Weaver et al., 2007; Lane et al., 2012), although, after one week of glyphosate treatment, a significant drop in total microbial biomass in soybean rhizosphere soil was detected (Lane et al., 2012). Selection of herbicide with residual soil activity when planning to use CCs again in the fall must be done carefully to avoid impacts on CCs species establishment. Glyphosate should be applied when temperatures reach 55°F during the day and 40°F during the night. Applying glyphosate before the boot stage will help to improve effective cereal rye. Improved spray coverage will increase the efficacy of contact herbicides such as paraquat (Gramoxone) and glufosinate (Liberty, Cheetah, and Scout; Werle et al., 2021). During the spring thaw until the end of rye, CO2 emissions were higher in green fallow than in chemical fallow (P = 0.0071). The atmospheric CH4 uptake was the dominant exchange process, and it was significantly (P = 0.0124) higher under chemical fallow (2.7 g CH4-C ha–1 d–1) than under green fallow (1.5 g CH4-C ha–1 d–1). Cumulative CO2, CH4, and N2O emissions did not differ between the chemical and green-fallow phases (P = 0.1293, 0.2629, and 0.9979, respectively) during the 19-month period (Liebig et al., 2010).
Conclusion
The effect of CC types, biomass, and residue C:N ratios on soil GHGs emissions, soil microbial biomass, and community was investigated in this study. Compared to NCCs, the CCs increased microbial biomass and community abundance due to additional organic matter input. A higher fungi/bacteria ratio with CCs suggests that CCs have a greater impact on fungi than bacteria. The LCCs had lower actinomycete levels but a higher MBC/MBN ratio than the NLCCs. The benefits of CCs on soil microbial biomass were reduced when mixed LCCs and NLCCs were used instead of LCCs or NLCCs alone. Carbon dioxide and N2O emissions vary according to CCs species, biomass residue quality and quantity, and method of residue placement in the soil. When compared to NCCs, CCs increased CO2 emissions. Legume CCs emitted more N2O than NLCCs or mixed CCs. Increased CCs biomass resulted in higher CO2 emissions but lower N2O emissions. The increases in N2O emissions can cause changes in global warming potential, thus affecting the C sinks (soil organic C input via plants) and losses (CO2 emissions/mineralization). The LCC and NLCCs combined application as CCs reduced the GHG emissions and improved soil health and crop yields. Although CCs increase CO2 emissions compared to NCCs, they have positive effects on soil and C sequestration and other known soil health and environmental quality parameters. Further studies are needed to clarify the effect of CCs biomass rates and residues quality (C:N ratios) on soil microbial community structure and abundance and their influence on soil GHG emissions.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Author contributions
IM, XZ, and JW did the conceptualization. IM and SAh performed the methodology. IM and SF investigated the data. XZ carried out the resources. IM carried out the data curation and wrote the original draft of the manuscript. SAl, XZ, and JW wrote, reviewed, and edited the manuscript. XZ supervised the data. All authors have read and agreed to the published version of the manuscript.
Funding
This study was supported by the National Natural Science Foundation of China (31760354), the Natural Science Foundation of Guangxi (2019GXNSFAA185028), Special Fund for Guangxi Innovation Team Construction of National Modern Agricultural Industrial Technology System (nycytxgxcxtd-2021-04-04), CAS: “Light of West China” Program for introducing talent in the west, the National Natural Science Foundation of China (Grant Nos. 31570440 and 31270484), and the Key International Scientific and Technological Cooperation and Exchange Project of Shaanxi Province China (2020KWZ-010).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
cover crops, soil microbial community structure, greenhouse gas emission, decomposition, cover crop management practices
Citation
Muhammad I, Lv JZ, Wang J, Ahmad S, Farooq S, Ali S and Zhou XB (2022) Regulation of Soil Microbial Community Structure and Biomass to Mitigate Soil Greenhouse Gas Emission. Front. Microbiol. 13:868862. doi: 10.3389/fmicb.2022.868862
Received
03 February 2022
Accepted
28 February 2022
Published
25 April 2022
Volume
13 - 2022
Edited by
Hafiz M. N. Iqbal, Monterrey Institute of Technology and Higher Education (ITESM), Mexico
Reviewed by
Babar Usman, Kyung Hee University, South Korea; Mujeeb Ur Rahman, Poznań University of Medical Sciences, Poland
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© 2022 Muhammad, Lv, Wang, Ahmad, Farooq, Ali and Zhou.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jun Wang, wangj@nwu.edu.cnXun Bo Zhou, xunbozhou@gmail.com
†These authors have contributed equally to this work
This article was submitted to Microbe and Virus Interactions with Plants, a section of the journal Frontiers in Microbiology
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