1. Introduction
Continuous cropping obstacles (CCOs) cause crop failure, root rot disease, yield decline, poor quality, replantation, soil sickness, and even the death of seedlings in the same plot of the same plant [1,2]. The continuous cropping (CC) efficiency of medicinal plants may be affected by numerous issues, including soil nutrient deficits, a rise in the allelopathic autotoxicity of root exudates, the buildup of fungal pathogens, and imbalances in the soil microbial community [3,4]. CC infestation can be extremely detrimental to ginseng plants, resulting in decreases in yields of up to 80–100%, severe root rot illnesses, the falling off of fibrous roots, and, in some cases, plant death [5,6]. Similarly, in the plant Fagopyrum tataricum, yield declined up to 6.36% in the first year, 24.85% in the second year, 78.62% in the third year, and 83.10% in the fourth year of CC, which caused severe economic losses. The availability of nutrients, soluble proteins, soil enzyme activities, total chlorophyll contents, and the number of actinomycetes in leaves gradually decrease during CC [1]. In a previous study, CC ginseng seedling survival rate dropped to 30%, and 70% of the plant was burnt off and overrun with scars on the plant’s skin and its roots. In continuous cropping areas, root rot occurred, on average, 23.9% of the time, which is 3.5 times more often than on newly cultivated ground [7]. The productivity and quality of curative plants, including Lepidium meyeni, Panax ginseng, Panax notoginseng, Andrographis paniculate, and Rehmannia glutinosa, were significantly impacted by CCOs (Table 1) [8,9,10].
In summary, by inhibiting plant defense enzymes, CCOs upset the equilibrium of the relative oxygen species (ROS) metabolism, allowing ROS to build up in overabundance, ultimately resulting in membrane lipid peroxidation. There were notable differences in levels of degraded aromatic compounds, microbiome activity, chitin degradation, nitrogen fixation, and atrazine metabolism. Soil degradation and the microbial inhabitants’ edifice imbalance were the primary causes of CCOs [11]. Transcriptomic research displayed significant variations in the soil’s microbiota during CC [12]. Rehmannia glutinosa L. plants suffering from CCOs had small leaves, losses in root ATPase activity, slow growth rates, and decreased root activity [13]. Negative microbe–plant interactions were shown to be mostly caused by structural changes in the microbial population, in addition to soil fertility decline, soil nutrient imbalance, and rhizospheric soil autotoxin buildup [14,15]. CC substantially corresponds with a rise in the richness of the soil-borne fungus Fusarium oxysporum by reducing the abundances of Bacillus, Rhizobacteria, and Pseudomonas, all of which promote plant development [16,17]. It is estimated that it takes from 4 to 10 years for medicinal plants and planted soils to naturally recover after CC [18]. Farmers use a variety of artificial agricultural management techniques, including crop rotation, soil sterilization, fertilizer application, and fumigation, to speed up the recovery process and prepare these soils for continuous ginseng farming [19,20]. However, the widespread use of agrochemicals in ginseng raises questions about the safety of both humans and the environment. A different approach to removing ongoing cropping difficulties and reducing cropping fields’ recovery period may lie in using eco-friendly bio-fertilizers [21]. Different medicinal plants’ adaptive reactions in response to CCOs are shown in Table 1.
In this review, we have outlined the problem of CC in medicinal plants. In order to develop medicinal plant resources more wisely, we also identified the current issues and proposed some appropriate remedies. Identifying the response of various medicinal plant species and CC on genome-wide transcriptome profiles, the structure and composition of soil microbial communities, candidate genes, and pathways related to CC response, intercropping, soil amendments, crop rotation, and understanding related molecular mechanisms are the goals of this study. In order to cope with CC soil, comprehensive procedures are now being used, including physical, chemical, and agronomic measures; positive results have been obtained in reducing the impact of continuous cropping challenges. Finally, potential research directions for the future are also discussed.
Table 1Observed adaptive responses to continuous cropping obstacles of different medicinal plants.
| Plant Name | Plant Adaptive Reaction | Reference |
|---|---|---|
| Pinellia ternata | Plant growth decline, reductions in photosynthetic pigments, soluble sugar, yield, and alkaloids | [22] |
| Panax ginseng | Heavy metal and allelochemicals’ accumulation, imbalance in the rhizosphere micro-ecosystem, deterioration of physical and chemical properties, and soil-borne disease | [8] |
| Lilium lancifolium | Accumulation of pathogenic bacteria in the rhizosphere, causing severe root rot disease | [23] |
| Lepidium meyeni | Reduced N, P, K contents, soil organic matter, dry and fresh weight | [9] |
| Andrographis paniculata | Increased bacterial diversity, Acidobacteria and Zygomycota phyla and fungal genus Mortierella, alongside decreased fungal diversity and bacterial genus Pseudolabrys | [10] |
| Rehmannia glutinosa L. | Reduction in root activity, chlorophyll contents, and leaf size, and loss of ATPase activity in roots, growth rate, and photosynthetic efficiency | [13,24] |
| Coffea arabica L. | Increased major soil-borne diseases and yield decline | [25] |
| Angelica sinensis (Oliv.) Diels | Increased SS, EL, proline and MDA, alongside decreased CAT, SOD, POD, yield, chlorophyll contents, plant growth, photosynthetic rate, and essential oil contents | [26] |
| Panax notoginseng (Burk.) | Decreased production and tuber quality, and increased seedling mortality rate | [27] |
| Pogostemon cablin (Benth.) | Oxidative stress, nutritional deficiency, core metabolic disorder, and genotoxicity | [28] |
| Codonopsis tangshen (Oliv.) | Increased total soluble protein, MDA, and CAT activity, alongside reduced SOD, Chl. a (chlorophyll a), Chl. b (chlorophyll b), and total Chl. (total chlorophyll) | [29] |
| Panax Ginseng C.A. Mayer | Yellow spot disease on leaves and stems, and serious fibrous abscission in roots (rust rot and root rot) | [30] |
| Salvia miltiorrhiza Bge. | Loss of fresh weight, lipophilic, lithospermic acid, root length and diameter, salvianolic acid B, hydrophilic contents, and significant yield decline | [31] |
| Coptis chinensis Franch. | Decreased Proteobacteria and alpha diversity, increased Acedobacteria, change in rhizosphere species, and pH slightly acidic | [32] |
| Radix pseudostellariae L. | Reduction in acid protease and chitinase, alongside increased sucrose, urease, protocatechuic acid, and cellulose | [33] |
| Panax quinquefolium | Reduced soil pH, alpha fungal diversity, and bacterial diversity | [34] |
| Panax quinquefolius L. | Increased NO3-N, soil salt, and NH4+-N, alongside decreased cellulose activity, soil pH, alkaline phosphate, and C: N ratio | [21] |
2. Methods
We conducted a systematic review of Google Scholar, Web of Science, and Pub-Med/continuous cropping and medicinal plants libraries using varied keywords: “medicinal plants”, “continuous cropping obstacles”, “microbial community”, “molecular mechanisms”, “transcriptomic analysis”, “metabolomics study”, “gene regulation”, “control strategies”, “soil amendments”, “crop rotation”, and “intercropping”, in numerous amalgamations. We evaluated the facts from research articles as well as review articles to create a systematic review of continuous cropping obstacles in medicinal plants within recent publications. This study identified 178 advanced articles for inclusion (Figure 1).
The results and discussion were analyzed and arranged according to the principal relationships: “causes of continuous cropping obstacles”, “molecular mechanisms in continuous cropping obstacles”, and “medicinal plants and control strategies”, with a special emphasis on transcriptomic and metabolomics studies. Finally, we recommended future study directions regarding control strategies in the field of continuous cropping in medicinal plants.
3. Results and Discussion
3.1. Causes of Continuous Cropping Obstacles
3.1.1. Soil Microbial Community
CCOs are often caused by a mix of abiotic and biotic conditions, containing decreasing soil physicochemical properties, plant autotoxicity, and changes in the composition and diversity of microbial communities [35]. Microbial community imbalance in American ginseng reduces the metabolic function of the plant in a continuous cropping system, decreases bacterial community, and increases fungal diversity, which affects soil health and quality [36,37]. Medicinal plant development and growth, plant robustness against environmental stress, and plant nutrient absorption may all be influenced positively by rhizospheric bacteria [38]. The most abundant and diverse microflora in each gram of soil are bacteria, which are estimated to include millions of bacterial species and billions of cells [39]. The bacterial population of soil is very important in the development of plant disease [40]. However, different root exudates secreted by different plant species can change the soil bacterial community’s makeup, and changing cultivation methods may also change the microbial communities [41]. Rhizosphere soil has considerable accumulations of physicochemical traits, and the prevalence of important microbes and certain phenolic acids caused illness in a CC system in 12 years of strawberry crop study [42].
CCOs are created and reduced by the soil microbial community due to their strong connection with the absorption of the plant’s nutrients, infectious diseases, and the immune system [43]. During CC, wilt disease may be prevented by bacteria which are locally root-associated [44]. Moreover, plants enlist bacteria to aid in nutrient uptake and resist diseases and stress [45]. However, in a single cropping system, diversity declines among ammonia oxidizers and functional groups with the passage of time, while ammonia oxidation genes remain concentrated. This causes ammonia to oxidize quickly into nitrate, which causes nitrogen loss and poor nitrogen nutritional efficiency [46]. CC depletes the variety of soil bacteria and the relative abundance of beneficial microorganisms in plants while increasing the amount of pathogenic (Ralstonia) bacteria, which causes an epidemic of bacterial wilt disease [47]. The soil–plant microbiome has great significance in plant production control, which is essential to investigate the microbial community of plants in the field of CC [48]. When anaerobic soil disinfestation was used to address CCOs, soil nutrient availability modifications connected with soil microbial population changes over the passage of time [49]. In contrast, PGRP (plant growth-promoting rhizobacteria) improved the soil-borne pathogen immunity of plants, and raised output in CC soil, tending to reduce soil-borne illness [50]. Several molecular analytical techniques, like fluorescence in situ hybridization, 454 pyrosequencing analysis, fragrant length polymorphism terminal restriction, high-throughput sequencing, and denaturing gradient gel electrophoresis, are applied to analyzing a variety of microorganisms in rhizosphere soil, along with evolution and relative abundance in CC systems [51,52]. Preserved functional contribution characteristics and 16S rRNA homology-based PICRUSt (phylogenetic investigation of communities by reconstruction of unobserved states) were utilized to foresee bacterial community functional structures [53].
3.1.2. Nutrient Availability
Soil Organic Matter and Organic Carbon Contents
The main factors and markers of soil’s strength are its carbon contents and organic matter, which are necessary for the fertility, quality, functionality, and sustainability of soil [54]. The growing body of research suggests that CC combined with damaging tillage techniques may have a deleterious impact on soil organic matter in agriculture [55]. In contrast to the soil that has constantly been planted with maize, fallow land has considerably greater soil organic C (soil organic carbon) contents [56]. The two major classes of soil organic C (aromatic C and O-alkyl)’s relative composition, through the soil depth profile, are altered by a continuous cropping system as opposed to a rotational one [57]. In various experiments, the effects of cereal monoculture cropping systems and rotations have been found to be dominated by leys on the levels of soil organic C [58]. Ley-dominated rotations significantly increased soil organic C levels compared to cropping systems of cereal monoculture. The soil under continuous cotton has a substantially lower soil C concentration than soil under continuous sorghum and maize cultivation [59,60]. Cotton crop residues and toxic metabolites may inhibit the halting of crop litter, and hence may limit the quantity of soil organic C, which may be to blame for decreased C concentrations in soil under cotton, as opposed to other crops. In the CC of sesame, a decrease in the soil organic C level was also documented [61]. Due to conflicting data from various soil and crop systems, it may be challenging to understand how soil organic C and matter are affected by continuous cropping. However, under CC systems that use conservation-oriented practices (e.g., manure input and reduced tillage), soil organic matter and C levels may remain the same, or even rise [62]. To establish the effects of CC on soil organic matter levels, several crops and soil parameters (soil biodiversity, tillage intensity, plant-derived metabolites, use of fertilizer, crop root systems, and the input of crop residue) may be relevant [63].
Carbon (C) and Nitrogen (N) Cycling and Mineralization
One important sign of soil fertility and the health of agroecosystems is soil carbon and nitrogen mineralization [64]. Soil structure, the texture of the soil (clay vs. sandy), crop residue amount, and fertilizer application among other factors influence the soil C content and N mineralization damage caused by CC [65]. Clay soil is more adroit than sandy soil in organic and inorganic substance binding. Additionally, nutrient mineralization is unpredictable; growers misuse N fertilizers, which could affect N mineralization and cause losses in soil subjected to CC [66]. In corn CC systems, usage of fertilizer (NH+4-N) reduced organic matter mineralization (gross ammonification declined from 13% to 21%), limiting the nitrogen cycle and altering soil fertility [67]. Furthermore, a higher C and N ratio in a few crops (maize instead of soybean) wastes may elucidate differences in carbon and nitrogen mineralization beneath the CC [68]. Meanwhile, increased N and stronger microbial activity are predicted to result in increased nutrient levels and C mineralization in the soil under legume crops like soybean, under cropping systems of continuous corn and corn–soybean. Additionally, soil temperature reduction and an increase in maize covering (rather than soybean residues) may have an impact on nutrient mineralization [69]. Unfertilized continuous corn soils have less N mineralization than soybean–corn cropping, while several other studies have found less N mineralization in continuous corn than in corn–soybean cycle cropping [70]. Mineralization of carbon and nitrogen was enhanced more by fertilized soil under a corn CC system than unfertilized control soil [71]. Because CC systems are less capable of sequestering nutrients, which might impact the soil ecosystem nutrient cycle, higher nutrient deficiencies, primarily through leaching or surface run, are anticipated [72]. Furthermore, monoculture CC systems result in substantially fewer diversified crop residues, which has an impact not only on the movement of nutrients but also on the physical and biological soil ecosystem mechanisms that control nutrient cycling and mineralization [73]. To forecast how CC will affect soil health and productivity, it is crucial to have a thorough grasp of how CC affects nitrogen cycling.
Nutrient Deficiencies
Nitrogen-rich fertilizer usage, the intensity of tillage, and the breakdown of the crop residues (and therefore, amplified organic acid formation in soil) are primarily responsible for the decline in soil pH in the CC system [65]. The availability of vital macro and micronutrients (nitrogen, potassium, phosphorous, magnesium, calcium, and molybdenum) is significantly impacted by soil acidity, in addition to the detrimental effects it has on soil organisms, as previously described [39]. The deleterious effect of soil acidity on agricultural crop yields has been stated in numerous studies [74]. Furthermore, CC undermines soil resources, which may deplete important minerals and tip the balance of nutrients in the soil. In US corn–soybean belt zones in three northern states, continuous corn revealed considerably lower soil potassium levels than a crop rotational system in soil [55]. The soil beneath American ginseng had micronutrient levels of Fe (Iron) (80%), Mn (Manganese) (113%) and Cu (Copper) (99%) that were higher than those in maize CC soil [75]. Additionally, CC under some conventional techniques provides unpleasant circumstances that prevent plants from absorbing enough nutrients from the soil, which may also have an adverse effect on plant development and crop output [76]. Although there are multiple cases of soil nutrient deficits under CC, salt levels and the cation exchange capacity in soil are also affected by these practices, leading to soil deterioration. Furthermore, soil composition, bulk and density, aeration, lowering water infiltration, and nutrient movement are all increased by the CC system, and these are key markers of soil health [77]. Lastly, amongst other things, CC may alter the variety of modifications that regulate the physiochemical environment of the soil, leading to the buildup of harmful compounds and nutrient leaching, which degrade agricultural water and soil quality over time [78].
Physiochemical Properties of Soil
The following soil physiochemical characteristics (moisture, water holding capacity, pH, nutrient content, conductivity, capacity for cation exchange, alkalinity, compaction, soil bulk density, temperature, microclimate, acidity, saturation percentage, buffering capacity, porosity, etc.) are not exhaustive. Numerous soil physicochemical characteristics, including pH and concentrations of vital micronutrients and macronutrients, might be impacted by CC [39]. Soil pH has a greater impact on archaeal and bacterial community composition than the composition of fungi [79]. Similarly, researchers have also reported that the microbial community in CCOs is also affected by changes in soil pH [27]. Additionally, soil moisture, N, and P contents also directly or indirectly influence the soil microbial community’s spatial arrangement [80]. The two most crucial aspects of soil are its pH and CEC (cation exchange capacity), which control the biochemistry and biology of the soil, as well as plant development. However, continuous cropping affects the physiochemical qualities of the soil, and is influenced by meteorological and soil conditions. In semi-arid and dry agroecosystems, CC raises the pH of the soil by enhancing sodicity, salinity, and alkalinity, which might impact the accessibility of the nutrients in soil to plants [81].
3.1.3. Allelopathic Effects
Autotoxicity, a specific kind of allelopathy, is a phenomenon wherein the same plant’s development and growth are prevented by allelochemicals [82]. The primary mechanisms through which it inhibits plant growth are exchanging cells’ ultra and microstructures, affecting respiration and photosynthesis, disrupting the antioxidant system, inhibiting water and nutrient uptake, increasing cell membrane permeability, inhibiting cell division and elongation, interfering with the growth regulator system, and affecting nucleic acid and protein synthesis and metabolism [83]. Several scientists have extracted and identified allelochemicals from various plants in recent years, primarily from monoterpenes, organic acids, flavonoids, phenolic acids, terpenoids, plant volatiles, and coumarins [84]. Phenolic acids, being the most extensively researched and actively studied compounds, have emerged as a central focus in allelopathy research concerning soil diseases [85]. Numerous studies have revealed that phenomena such as allelopathy or autotoxicity might have a negative impact on continuously grown crops [86]. Phenolic acids, produced during plant growth as the primary allelochemicals, represent the principal CC barriers for numerous terrestrial plants. Many agricultural and medicinal plants have been documented to be negatively impacted by phenolic acids [87]. Notably, nine phenolic acids (vanillic acid, vanillin, salicylic acid, protocatechuic acid, syringic acid, benzoic acid, coumaric acid, p-hydroxybenzoic acid and phthalic acid), together with ferulic acid and cinnamic acid have been discovered to hinder ginseng radicle growth. This inhibiting effect was elevated with the increasing concentration of phenolic acids, indicating phenolic acids had a direct obstructive impact on ginseng growth. Nevertheless, there are other microbes that communicate with the soil phenolic acids, particularly certain probiotics (Burkholderia and Spingomonas) and diseases that affect agriculture [88]. Ferulic acid stimulated Fusarium oxysporum development at low doses, but reduced it at high doses [89]. A high quantity of phenolic acids can prevent the growth of harmful bacteria, therefore enhancing ginseng growth. On one hand, phenolic acids can be utilized as substrates to boost helpful microbes. As a result, increased phenolic acid concentrations can both hinder ginseng growth as allelochemicals and enhance plant growth by promoting salutary microbes and inhibiting non-beneficial microorganisms. Allelochemicals’ indirect and direct activities conflict with plant growth responses, much as the allelopathic response of many plants to the invasive species Phytolacca americana [90].
3.1.4. Others
Changes in soil pH have a significant impact on the composition of the soil microbial community, which might cause problems for ongoing crop growth [91]. Numerous other elements, such as soil moisture, nitrogen, and phosphorus content, may also have an indirect or direct impact on spatial soil microbial community structure [80]. A significant element that influences the variety and structure of the soil microbial community is the nitrogen concentration in CC [92]. According to an earlier research, P. ternata seedling development in CCOs is significantly inhibited by substances like chlorogenic acid, vanillin, benzofuran, vanillic acid, syringic acid, ferulic acid, protocatechuic acid, gallic acid, syringaldehyde, etc. As a result, these substances are regarded as primary allelochemicals and autotoxins of P. ternata [93]. Under CCO, some plants’ rhizospheres accumulate phenolic acid, which affects the soil microbial ecology [94]. Soil microbial community resistance is also decreased by CC, and as years pass, the bacterial community’s fungal diversity can change, pathogen antagonistic bacteria, which are the main cause of CCOs, can be abridged [95]. In addition, a number of studies have demonstrated that similar cultivars have distinct nutrient demand types and soil absorption ratios, which lead to soil nutrient imbalance due to CC [96]. Current research suggests that CC causes an imbalance in the diversity and structure of endophytic and rhizospheric soil fungal communities, as well as the rapid accumulation of fungal pathogens [97]. Therefore, a stable and vigorous community of rhizospheric, fungal and endophytic bacteria is crucial for maintaining long-term continuous cropping and a steady crop yield.
3.2. Molecular Mechanisms
3.2.1. Transcriptomic Analysis
Transcriptomic analysis is a cutting-edge biologic discipline which utilizes high throughput, high resolution, and sensitive methods to analyze both model and non-model entities. Transcriptomic studies can assist researchers in assessing medicinal plants’ controlling mechanisms and functional genes to improve cultivation systems and breeding methods in CC [98]. Additionally, crucial transcriptional components have been found in the ginseng (Panax ginseng) plant’s transcriptional response to benzoic acid (Autotoxin), a soil root exudate compound that is continually farmed [99]. Recently, proteome modification of leaves with regard to CC in the patchouli (Pogostemon cablin) plant has demonstrated how CC changed the protein expression involved in the metabolism of amino acids, energy, and carbohydrates [100]. The 762 DEGs discovered via transcriptome profiling contain upregulated and downregulated genes (430 and 332, respectively), due to CC in the Codonopsis tangshen plant [101]. Additionally, a pathway enrichment analysis showed that CC-upregulated genes are involved in tyrosine catabolism and phenylalanine, tyrosine degradation I, and glycogen synthesis, whereas downregulated genes are involved in the immune system and in signal transduction. In a continuously cropped C. tangshen plant, the downregulated genes in leaves are psaA, psbA and the psbW [29]. The genes involved in various pathways (sucrose and starch metabolism, unsaturated fatty acid biosynthesis, phenylpropanoid biosynthesis, photosynthesis and plant hormone signal transduction, among others) are mainly regulated by soil amendments, which have a growing impact on plants in CC [102]. Different medicinal plant transcriptomics analyses with continuous cropping are shown below (Figure 2).
Similarly, transcriptome analysis explains how the plant (Pinellia ternata) reacts to treatment with phenolic acids in CCO. The transcriptome showed that phenolic acid treatment elevated the DEGs associated with cell wall deterioration and ROS metabolism. Moreover, the levels of the critical metabolites were lowered due to downregulated DEGs in the pathways for phenylpropanoid production and metabolism of sucrose and starch (Figure 3). When combined, phenolic acids led to an overabundance of H2O2 and O2−, which led to the death of root cells, whereas b-gentiobiose and L-ascorbic acid efficiently reduced ROS stress [103]. In a plant transcriptome synthesis of A. paniculata for CC gene expression detection, 6193 uni-genes were substantially upregulated or downregulated, according to the expression of RNA-seq-based gene profiling. The most intricate genes in terpenoid biosynthesis, flavonoid biosynthesis, and phenylpropanoid biosynthesis in the A. paniculata plant were downregulated, showing that CC decreased the production of active ingredients by suppressing gene expression levels tangled in the biosynthesis pathways for these metabolites [104]. In addition, transcriptome investigation discovered that genes involved in energy metabolism and plant defense were suppressed, which decreased the patchouli plant’s ability to withstand CC stress [105]. The findings demonstrated that patchouli’s natural circadian cycle was disrupted by CCOs. Additionally, tryptophan biosynthesis, ubiquitin-mediated proteolysis, phenylalanine biosynthesis, sphingolipid metabolism, and tyrosine biosynthesis were often enriched throughout the CC period. Endocytosis, lacto, and neolacto series, glycosphingolipid production, folate biosynthesis, and endoplasmic reticulum protein formation were often shown to be considerably increased in CCO plants [106]. DEGs were mostly enriched in the abscisic acid-activated signaling pathway, plasma membrane, DNA binding transcription activity, reaction to chitin and the defense response, according to GO functional enrichment analysis. The genes involved in the metabolism of linoleic acid, cysteine, methionine, sucrose and starch metabolism, unsaturated fatty acid biosynthesis, and glycolysis/gluconeogenesis were upregulated. With p-HBA (p-hydroxybenzoic acid) therapy, genes related to plant–pathogen interaction, the MARK signaling pathway, and the signal transduction of plant hormone were downregulated. These pathways are connected to the rotting and browning of plant roots, both of which cause plant mortality [107,108]. Moreover, exogenous application of p-HBA stimulated the expression of genes associated with calcium-dependent protein kinase, dehydrogenase of ethanol, Ca2+/calmodulin-dependent EF-hand protein kinase, and pyruvate decarboxylase, and the expression of stunted genes associated with protein RPM1 disease resistance, peroxidase, and the lyase of phenylalanine ammonia [109]. Differentially expressed genes have been discovered via the analysis of transcriptome profiles of several plants under various conditions. Understanding the mechanism of CC and its effects on biological activities and metabolic pathways at the transcriptional level requires an understanding of the transcriptomic profile of different plants in response to crop stress. On these bases, CC may directly alter the transcriptome profiles of medicinal plants, and different genes in different pathways may show upregulated and downregulated responses in plants. A comprehensive (physiological, transcriptomics, metabolomics, and gene regulation (miRNA)) study of different medicinal plants in CCOs revealed different responses (Figure 3).
3.2.2. Metabolomics Analysis
Metabolomics is employed in a wide range of studies to examine the adaptations and regulations occurring within complex systems, influenced by both internal and external factors [110]. In metabolomics research, MS (mass spectrometry) and nuclear magnetic resonance are the most often used detection methods. Due to benefits like high sensitivity and a broad dynamic linear range, MS is commonly employed [111]. CC ginseng soil was examined to inspect metabolomics and to verify its autotoxic activity. The effects of allelochemicals on ginseng’s development were used to screen and assess 23 ginsenosides and their contributions to autotoxic effects, which inhibit plant growth [112]. The metabolite profiles of several medicinal plants were altered significantly as a result of CCO. There is mounting evidence that during plant development, roots may release metabolites into the environment, and these metabolites can alter the characteristics of the soil and microbial community [113]. In CC, the levels of the majority of compounds, such as salvianolic acid B, dihydrotanshinone, rosmarinic acid, cryptotanshinone, miltirone, and tanshinone IIA, were markedly downregulated in Salvia miltiorrhiza Bunge (SMB) [114]. Polyamine levels (spermidine and spermine), directly associated with the development of SMB plants, were drastically downregulated in CC. The amounts of oligosaccharides necessary for single transduction of plant cells and the activation of the plant immune system were likewise much lower in SMB due to CC. The amount of salvinolic acid B/E was distinctly reduced in the SMB of continuously cropped plants [115].
Continuous cropping has been demonstrated in studies to alter plants’ metabolites and to decrease the amount of key therapeutic medicinal plant components [116]. Patchouli plant leaves’ metabolites such as cinnamic and carboxylic acids and their derivatives, prenol lipids, organooxygen compounds, and flavonoids changed significantly in response to CCOs [106]. Similarly, in a metabolomics study on Panax quinquefolius, 3, 4-dihydroxybenzoic, lignoceric, salicylic, palmitic, azelaic, heptadecanoic, cerotinic, benzoic, and oleic acid levels were significantly increased, while phytol, D-Talose, N-Acetyl-D-galactosamine, and mannose were significantly decreased [117]. This metabolites study not only supports our understanding of the metabolic profile of CCOs in medicinal plants, but also investigates its mechanisms in detail, which will be helpful in future metabolomics studies.
3.2.3. Gene Regulation Network and miRNA Study
The challenges caused by CC are a complicated kind of stress that seriously impedes a viable increase in resources for pharmaceutical plants. The majority of plant life activities, including development and growth, metabolism, stress response, and hormone signaling are regulated by miRNAs [118]. Under different conditions, plants can increase the production of some miRNAs, and these can operate in targeted genes associated with stress, enabling them to adjust stress physiologically [119]. Overexpressing miR408 in transgenic chickpeas greatly improved drought stress tolerance in plants [120]. A dh rice mutant with overexpression of osa-miR171c demonstrated a substantial decrease in salt tolerance throughout the germination and seedling stages [50]. In response to alkali stress, the potato gene products sucrose-phosphate synthase (SPS) and shikimate O-hydroxycinnamoyl transferase (HCT) were negatively regulated by miR4243-X and novel m064-5p, respectively [121]. In recent years, both novel and conserved miRNAs have been discovered in medicinal plants due to rapid improvements in HTS (next-generation high-throughput sequencing) technology and analytical methods [122]. Worldwide, China has the largest diverse collection of medicinal plant germplasms; however, with the intensification of research efforts, the demand for these resources is also increasing [123]. Wild medicinal plants’ production is often low, and easily impacted by environments [124]. As a result, it is crucial to research the miRNAs involved in medicinal plants’ stress reactions. When comparing noncontiguous cropping and CC settings in R. glutinosa, miRNAs were probably responsible for continuous cropping challenges [125]. A total of 31 miRNAs from 14 different miRNA groups were found in Salvia miltiorrhiza, containing one particular miRNA that reacted due to CC [126]. According to the concept of sequence complementarity, miRNAs’ plant gene expression is controlled at the post-transcriptional level through two main mechanisms: translation suppression and targeted mRNA cleavage [127]. The function of miRNAs in gene networks controlling plant stress resistance may first be identified by elucidating the regulatory network of miRNA to mRNA that exists under distinct abiotic and biotic conditions [118].
Genomic studies in CC reveal the expressions of both mRNA and miRNA data of the root mechanism of the patchouli (Pogostemon cablin) plant [128]. Forty-seven miRNA-target gene pairings associated with defensive reactions, the development of roots, RNA synthesis, protein transport, signal transduction, and control of the flowering were discovered using combined mRNA-miRNA analysis. The stress of CC in patchouli plants activates the signal of calcium ions along with the MARK cascade, which in turn stimulates the downstream production of the number of early response genes. As a result of phosphorylation of the gene’s early response, which includes encoding receptor-like protein kinase and the threonine/serine protein kinase, normal gene expression and function are disrupted, leading to subpar plant development and even plant mortality. These genes also mediate metabolic disorders, the planned death of cells, and pathological phenomena. CC throughout this time altered the gene expression program involved in the plant’s normal development and growth, induced adjustments in major metabolic pathways, and triggered the production of several particular miRNAs linked with signal transduction and stress responses [28]. Different medicinal plants in a comprehensive study of continuous cropping obstacles, using transcriptomic, metabolomics, and gene regulation (miRNA), revealed different responses, as shown in Table 2.
3.3. Strategy to Deal with Continuous Cropping Obstacles
3.3.1. Soil Amendments
Soil amendment is an effective substitute; chemical fumigation is an ecologically harmful alternative method for controlling soil-borne diseases, and also improves the soil’s physicochemical properties and the microbiota [11,134]. This, in turn, leads to enhanced constructive microorganisms for the control of plant disease, the destruction of pathogens (both fungal and bacterial), and the modulation of the immune system of plants [135]. Strawberry, apple, and prune replanting issues are effectively reduced by soil amendment [136,137]. An inexpensive and easily available resource that improves the health of soil and plants is cow dung (an organic soil amendment); this results in sustained agricultural production [138]. Apple replanting issues may be efficiently managed by combining biofumigants (Brassica species) with soil amendments [139]. Chloropicrin (CP) soil fumigation is a successful method to overcome CCOs and to enhance P. notoginseng plant quality, production, and N, P, and K upturns [140]. The addition of MOF (microbial organic fertilizer) may increase soil nutrients, and microbial diversity, alters the micro-ecological soil environment and modifies its purposes [141]. To satisfy the nutrition requirements of plants, fertilization is crucial in the development of Citrullus lanatus [142]. In Arachis hypogaea CC, after twenty years, organic fertilizer application increases the yield of the grains, reduces major diseases, including Ralstonia (bacterial wilt pathogen), and improves the rhizobacteria [143]. Bio-organic fertilizers can help with a variety of soil issues, including reductions in plant pathogens, soil-borne diseases, inhibition of watermelon Fusarium wilt, enhanced plant growth, resistance against stress, soil hydraulic and physical properties, microbial activities, root activity, SOD and POD activity, MDA contents, CAT, and plant photosynthesis [144,145]. In soil that has continuously grown soybeans for five years, chitin amendment affects the soil properties, microorganism community, and plant development [146]. Crude chitin and pure chitin both significantly raised the pH and nutrient availability of the soil, aided in plant growth, and enhanced the soil’s microbial activity. Ongoing cropping challenges in soybean plants could also be overcome with the help of soil-borne disease elimination [147,148].
The addition of helpful bacteria and fungi to the soil is one biotechnological management strategy that enables us to address the degradation of soil without harming the ecology of agricultural land [149]. AMF (arbuscular mycorrhizal fungus) occurs in over 80% of plant species; it is one of the most prevalent beneficial microbes, and enhances plant tolerance and resilience to abiotic and biotic stresses [150,151]. Soil nutritional availability increases due to the collaboration of AMF with other rhizosphere microbes. Some 10% of the bacteria in litter soil reacted to AMF Glomus hoi either favorably, like Firmicutes, or negatively, like Bacteroidetes and Actinobacteria [152]. In the rhizosphere of shrubs, AMF increased the richness of Gemmatimonadetes and Anaerolineaceae bacteria, while in the tomato rhizosphere, it increased the abundance of Pseudomonas and Bacillus (Figure 3), and also enhanced beneficial microorganisms linked to delivering N and P in nutrient-limited situations [153]. AMF may also activate a plant’s defense system against root rot, which increases significantly with CC in P. notoginseng, P. ginseng, and P. heterophylla plants [154,155]. However, the use of AMF bio fertilizer removed these barriers to CC by raising the rate of AMF inoculation, enlisting beneficial Streptomyces, Bacillus, and Pseudarthrobacter rhizosphere microorganisms and the fungus M. elongate, as well as suppressing harmful microbes like Candidatus solibacter, and fungal pathogen-associated bacteria such as F. solani and F. oxysporum [156,157].
3.3.2. Crop Rotation
Crop rotation (CR), plant inter-cropping, choosing resistant cultivars, and biological management are only a few strategies for overcoming the drawbacks of CC [158,159]. CR is the most established and traditional agronomic technique for maintaining water and nutrient balance; avoiding disease; insect, pest, and weed control; and boosting crop production [160,161]. By preventing the reproduction and development of pathogens or breaking the disease cycle, improving the soil microecological environment, and either directly or indirectly producing inhibiting substances or specific antagonistic microorganisms, CR deters/decreases the infection of pathogens [162]. For soil health and plant growth, a variety of soil bacterial communities is crucial [163]. The microbial activity of soil is frequently utilized as an indicator of soil function. CR is a supremely cost-effective and eco-friendly way to address CCOs [164]. CR on unchanged plots of soil decreases demand for exterior responses, thereby improving soil microorganisms and yield, since different crops have unique nutritional requirements. This can potentially affect SOC (soil organic carbon) stability by enhancing soil physiochemical properties and changing the soil microenvironment [165]. This technique is commonly used to increase the production of maize and soybeans, and compared to continuous maize cultivation, crop rotation upturns maize production by 5−20%. Crop yield modifications are ultimately caused by changes to the soil microbial biomass [166]. This may reduce the number of weeds and insects while also increasing the nitrogen supply, which eventually boosts output [167]. Crop rotation in American ginseng (AG) enhanced the water contents, phenolic acids, cinnamic acid, vanillic acid (due to external stress), and the pH of the soil, as well as reducing the catalase, phosphatase, and sucrase activity in CCOs [168]. The importance of certain crops in the rehabilitation of soil used for CC has never been emphasized before, and selecting the proper CR is more efficient than prolonging the cycle period. T. asperellum was discovered as a kind of continuous crop obstacle opponent in Panax notoginseng [169]. Cucumbers should be rotated with other crops to boost output, reduce environmental damage from fertilization, and raise the relative abundance of Ohtaekwangia and Flavobacterium [170]. Making maximum use of soil nutrient niches is essential, along with optimizing CR choices and developing a healthy crop rotation system, as is lowering the number of pathogens, diseases, and insect pests in the soil.
3.3.3. Intercropping
Intercropping is the synchronized planting of two or more crops in the same field. In addition to facilitating the growth of medicinal plants, a rational intercropping system can increase yield and quality, while also increasing space utilization efficiency amongst species [171]. Therefore, intercropping has been proven to increase yield and plant development, and it can help with serious issues, including small crop production, buildup of pests and diseases, soil deterioration, and environmental contamination. Numerous investigations have demonstrated that the major benefits of intercropping include the reduction of pests and diseases, the improvement of the efficiency of soil resource use, and the improvement of soil nutrient absorption [172]. These benefits result from the interplay among crops and the alteration of microbial activity in the agricultural rhizosphere [173]. Intercropping has an impact on the structure, diversity, and functional diversity of the soil microbial community [174]. For instance, intercropping wheat with brassica altered the composition of the microbial population in the wheat rhizosphere [175], in a manner similar to how intercropping may influence the rhizosphere microbial community structure of maize and legumes [176]. Watermelon rhizosphere soil microbial communities became more diverse as a result of rice and watermelon intercropping, which in turn reduced the disease index of watermelon Fusarium wilt [177]. Intercropping peanuts with A. lancea decreased the accretion of autotoxic compounds in CC soil, improved the invertase and urease activity of the soil, inhibited the fungal population, and stimulated the bacterial community. In particular, the G-bacteria biomass intensely increased, and this was able to lessen the buildup of phenolic allelochemicals in the bulk soil and rhizosphere [178]. CCOs in medicinal plants can be controlled using different strategies, including soil amendments, crop rotation, and intercropping (Figure 4).
4. Conclusions
Obstacles to continuous cropping are now a significant factor impacting crop output and quality. Their negative effects include a decline in the fundamental chemical and physical characteristics of soil, modifications to microbial community structure, the buildup of autotoxins, weakened plant development, and an escalation of pests and diseases. In conclusion, CCOs in medicinal plants can be alleviated by using soil amendments to improve the microbial community and soil fertility. Transcriptomic and metabolomics studies provide insights into the molecular mechanisms involved in plant responses to CCO, which can guide the progress of new strategies to overcome these obstacles and improve medicinal plant production. Overall, a multi-pronged approach that incorporates soil amendments, crop rotation, and intercropping, along with a deeper understanding of plant–microbe relations and stress responses, may help us to overcome the obstacles associated with continuous cropping of medicinal plants.
Further study is required to recognize the most effective soil amendments and their application rates for different medicinal plant species and growing conditions. To mitigate these effects, farmers and researchers may need to implement strategies, such as crop rotation, intercropping, and soil amendments to maintain soil fertility and promote healthy plant growth, so that they can develop sustainable cropping practices to minimize these effects. By improving soil health, farmers can maintain high crop yields and ensure the viable production of medicinal plants.
Conceptualization, M.Z.U.H., Y.W. and Y.L.; writing—original draft preparation, M.Z.U.H.; writing—review and editing, Y.L., J.Y., G.Y., H.Y., H.A.I., H.T. and H.C.; supervision, Y.W. and Y.L.; funding acquisition, Y.W. and Y.L. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Not applicable.
Not applicable.
The authors declare no conflict of interest.
Footnotes
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Enlarge this image.Figure 1. Continuous cropping obstacles in medicinal plants flow diagram, demonstrating search pathway results and included articles.
Enlarge this image.Figure 2. Different medicinal plants’ transcriptomic studies with continuous cropping obstacles. The blue color shows upregulated genes, while the green color shows downregulated genes.
Enlarge this image.Figure 3. Overview of physiological, transcriptomic, metabolomics, and gene regulation networks of different medicinal plants in continuous cropping obstacles. The red and blue color in the green balloons indicates the upregulated genes in the aboveground and belowground respectively. Similarly, the black and white color in blue balloons indicates the downregulated genes in the aboveground and belowground respectively, in different medicinal plants.
Enlarge this image.Figure 4. Different strategies to deal with continuous cropping obstacles in medicinal plants. Soil amendments; CP (chloropicrin), MOF (microbial organic fertilizer), BOF (bio-organic fertilizer), OF (organic fertilizer) and AMF (arbuscular mycorrhizal fungi) improve the plants’ growth and quality, and enhance the N (nitrogen), P (phosphorus), and K (potassium) contents. Crop rotation and intercropping also reduce the effects of continuous cropping.
Continuous cropping obstacles and transcriptomic, metabolomics and gene regulation study in different/medicinal plants.
| Plant Name | Study Type | Upregulated Genes | Downregulated Genes | References |
|---|---|---|---|---|
| Rehmannia glutinosa | miRNA identification | miR160 (Auxin response), ARF6 and ARF8 (adventitious roots regulator), miR5138, SPL, miR172. | miR156/157, ARF17, miR167, ICU2 (flowering), miR408, miR822. | [ |
| Panax ginseng | Transcriptomics analysis | Mitotic spindle elongation, enzyme inhibitor activity, centrosome cycle and duplication, carboxylesterase and pectinesterase activity, c41713_g1 (Invertase/pectin methylesterase inhibitor in leaves). | Photosynthesis, ion binding, cellulose metabolic process, polysaccharide and lignin metabolic process, C8930_g1 (Zinc binding dehydrogenase in roots), c41722_g1 (calcium-binding protein in the stem). | [ |
| Pogostemon cablin | Transcriptomics analysis | AP2/ERF-ERF, bHLH, sesquiterpene synthase activity (GO: 0010334), exo alpha bergamotene biosynthesis (GO: 0045339), farnesyl diphosphate catabolic process (GO: 0045339), FAD binding (GO: 0071949). | MYB, HSF, bZIP, GARP-G2-Like, HB-HD-ZIP, water channel activity (go: 0015250), protein complex oligomerization (GO: 0051259), |
[ |
| Codonopsis tangshen | Transcriptomics analysis | MYC2 (α-linolenic acid metabolism), EIN3 (ubiquitin mediated proteolysis), PR-1 (phenylalanine metabolism), CRE1 (zeatin biosynthesis), phenylalanine catabolism, tyrosine degradation I, glycogen synthesis, tyrosine catabolism, AP2, EREBP, WRKY, photosynthesis (PERK8, RAP2-4, DnaJ). | Immune system, signal transduction, mitotic activity, cell division, psaA (photosystem I), psbA (photosystem II), psbW (MSP), AHP (zeatin biosynthesis), GH3 (cell enlargement plant growth), CYCD3 (cell division), MYB, MADS, Jumonji family, trihelix, photosynthesis (BPS1, apoprotein, SR34A). | [ |
| Fragaria ananassa | Transcriptomics analysis | Peroxidase activity (GO: 0004601), CNCGS, PR1 and WRKY transcription factors, cell wall (GO: 0005618), lignin catabolic process (GO: 0046274), heme and copper ion binding, response to virus (GO: 0009615). | FaWRKY33, nutrient transport and synthesis, glycogen phosphorylase activity, ammonium transmembrane transport (GO: 0072488), water transport (GO: 0006833), starch biosynthetic process (GO: 0019252). | [ |
| Salvia miltiorrhiza | miRNA identification | miR156, smi-miR156a-1, miR396, miR319, pab-miR160a-like, smi-miR164a-1, miR166, leaf (miR031, miR021a, miR028), Stem (miR025a), miR165a-3p-like. | Root (miR031), NAC100-like (i5833_g1_i1), SPL13, athb-14-like (CL132Contig4), root growth ARF18-like, GRF3-like, athb-14-like. | [ |
| Beta vulgaris | Metabolomics analysis | Terephthalic acid, 1,5-anhydroglucitol, fluorene, 3,4-dihydroxypyridine, anandamide, lactitol, salicylaldehyde, nornicotine, fructose, indolelactate, dihydroxyacetone. | Xylose, tyramine, gentiobiose, glucose, sucrose, lactamide, thymidine, neohesperidin, gentiobiose, pyridoxal phosphate, 5-alpha-dihydroprogesterone, cuminic alcohol, phytanic acid, valine. | [ |
| Andrographis paniculata | Metabolomics analysis | Transposase, alcohol dehydrogenase (NADP+), nitrate reductase, pectate lyase, peptidylprolyl isomerase, NADP dependent sorbitol 6-phosphate dehydrogenase, β-glucoside gene, mevalonate 5-dinhophate decarboxylase (MVD, EC 4.1.1.33), isoflavonoid biosynthesis (1.1.4.1.3.21), apigenin (1.1.4.1.3.21), caffeic acid (6.2.1.12), Sinapyl alcohol (1.11.1.7), phenylalanine (4.3.1.24). | Flavonoids (Ko00941), terpenoids (Ko00900) and phenylpropanoid (Ko00940) biosynthesis, |
[ |
| Polygonatum odoratum | miRNA identification | Nitrogen metabolism, phenylalanine, phenylpropanoid biosynthesis, tyrosine and tryptophan biosynthesis, phenylacetate synthesis (AOC3), AMIE, CSE, TYRAAT, 4CL, CYP98A, AOC3, ALDO, ASP5, HCT, PGD, SCRK, ADT, Ath-miR172a, novel_130, ath-miR172c, tcc-miR172d. | DNA replication, plant hormone signal transduction, brassinosteroid biosynthesis, syringyl lignin formation (EC: 1.11.1.7) CCR, CAD, and COMT, FBP, RPE, SORD, PGD, GLGC, GPI, E3.2.1.4, AROK, AROC, MAlZ, TYDC, GPD, E1.10.3.1, sbi-miR172f, osa-miR528-5p, mtr-miR2673a, mtr-miR2673a (EC: 1.11.1.7). | [ |
| Salvia miltiorrhiza | Metabolomics analysis | Phenylalanine, ferulic acid. | Pehtasaccharide, Dihydrotanshinone I, spermine, salvianolic acid B/E, miltirone, spermidine, tanshinone II A, dehydromiltirone, tetrasaccharide, dehydrotanshinone IIA. | [ |
| Pinellia ternata | Transcriptomic analysis | DN22409, DN59405, DN150689, DN14287, DN139642, 1,4-β-D-xylan synthase, DHAR, cell wall formation, β-glucosidase, APX, AOX. | PtCAG, PtSRK2, PtCCoAMT, phenylpropanoid biosynthesis, DN14243, DN11615, C4H, PtCSLD5, PtSS. | [ |
| Pogostemon cablin | miRNA identification | pab-mir160c, ahy-mir408-3p, osa-mir397b, aof-mir398, novel20_master, mdm-mir1511, mdm-mir397a, stu-mir408a-3p, osa-mir397b, ahy-mir408–3p, stu-mir397–5p, aof-mir398, smo-mir408, mdm-mir397a, smi-mir12112, novel9_star, sly mir398a. | osa-miR397b, ahy-miR408–3p, mdm-miR397a, aof-miR398. | [ |
| Achyranthes bidentata | Transcriptomic analysis | Gluconeogenesis (DLD, ENO, G6PDH, PGK, PGM, GPI, GALM, TPI, ADH1), glutathione metabolism (GR, LAP1, pepN, GGT3, SRM), plant–pathogen interaction (EIX1/2, RPM1, PR1, ETI, CAD, CERK1), signal transduction (SAUR, ARR, GID1, BSK, BZR1/2, CYCD3, CTR1, PR1, ARF, TIR1, AUX/IAA). | Glutathione metabolism (RRM2), gluconeogenesis (LDH, FBP, HK3, MINPP1, NAD+), plant-pathogen interaction (CALM, CDPK, WRKY33, BAK1, htpG, MKK4/5P, GsSRK), signal transduction (TGA, ERF1, ETR2, EIN3, EBF1/2, SNRK2, ABF, PP2C, BAK1, GH3), phenylpropanoid biosynthesis (PAL, C4H, 4CL, CCoAOMT, CAGT, HCT). | [ |
References
1. Alami, M.M.; Pang, Q.; Gong, Z.; Yang, T.; Tu, D.; Zhen, O.; Yu, W.; Alami, M.J.; Wang, X. Continuous cropping changes the composition and diversity of bacterial communities: A meta-analysis in nine different fields with different plant cultivation. Agriculture; 2021; 11, 1224. [DOI: https://dx.doi.org/10.3390/agriculture11121224]
2. Wacal, C.; Ogata, N.; Sasagawa, D.; Handa, T.; Basalirwa, D.; Acidri, R.; Ishigaki, T.; Yamamoto, S.; Nishihara, E. Seed yield, crude protein and mineral nutrient contents of sesame during a two-year continuous cropping on upland field converted from a paddy. Field Crops Res.; 2019; 240, pp. 125-133. [DOI: https://dx.doi.org/10.1016/j.fcr.2019.06.004]
3. Schmidt, J.P.; Cruse-Sanders, J.; Chamberlain, J.L.; Ferreira, S.; Young, J.A. Explaining harvests of wild-harvested herbaceous plants: American ginseng as a case study. Biol. Conserv.; 2019; 231, pp. 139-149. [DOI: https://dx.doi.org/10.1016/j.biocon.2019.01.006]
4. Wu, L.K.; Chen, J.; Wu, H.M.; Wang, J.Y.; Wu, Y.H.; Lin, S.; Khan, M.U.; Zhang, Z.Y.; Lin, W.X. Effects of consecutive monoculture of Pseudostellaria heterophylla on soil fungal community as determined by pyrosequencing. Sci. Rep.; 2016; 6, 26601. [DOI: https://dx.doi.org/10.1038/srep26601]
5. Wang, M.; Sun, Y.; Liu, Q.M.; Li, Z.; Wei, M.C.; Zhao, F.R. Causes of continuous cropping obstacles and biological control of Panax quinquefolium L. J. Chin. Med. Mat.; 2016; 39, pp. 2665-2667.
6. Li, L.; Jiang, J.L. Research advances in allelopathic autotoxicity and continuous cropping obstacle of American ginseng. Mol. Plant Breed.; 2018; 16, pp. 4436-4443.
7. Wang, G.; Ren, Y.; Bai, X.; Su, Y.; Han, J. Contributions of beneficial microorganisms in soil remediation and quality improvement of medicinal plants. Plants; 2022; 11, 3200. [DOI: https://dx.doi.org/10.3390/plants11233200] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36501240]
8. Wang, R.; Dong, L.L.; Xu, J.; Chen, J.W.; Li, X.W.; Chen, S.L. Progress in improvement of continuous monoculture cropping problem in Panax ginseng by controlling soil-borne disease management. China J. Chin. Mater. Med.; 2016; 41, pp. 3890-3896.
9. Wang, S.; Dong, L.Q.; Luo, Y.Y.; Jia, W.J.; Qu, Y. Characterization of rhizosphere microbial communities in continuous cropping maca (Lepidium meyenii) red soil, Yunnan, China. Arch. Agron. Soil Sci.; 2019; 66, pp. 805-818. [DOI: https://dx.doi.org/10.1080/03650340.2019.1639155]
10. Li, J.R.; Chen, X.Z.; Li, S.M.; Zuo, Z.M.; Zhan, R.T.; He, R. Variations of rhizospheric soil microbial communities in response to continuous Andrographis paniculata cropping practices. Bot. Stud.; 2020; 61, 18. [DOI: https://dx.doi.org/10.1186/s40529-020-00295-1]
11. Zhou, X.; Li, C.; Liu, L.; Zhao, J.; Zhang, J.; Cai, Z.; Huang, X. Control of Fusarium wilt of lisianthus by reassembling the microbial community in infested soil through reductive soil disinfestation. Microbiol. Res.; 2019; 220, pp. 1-11. [DOI: https://dx.doi.org/10.1016/j.micres.2018.12.001] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30744814]
12. Jeelani, S.M.; Rather, G.A.; Sharma, A.; Lattoo, S.K. In perspective: Potential medicinal plant resources of Kashmir Himalayas, their domestication and cultivation for commercial exploitation. J. Appl. Res. Med. Aromat. Plants; 2018; 8, pp. 10-25. [DOI: https://dx.doi.org/10.1016/j.jarmap.2017.11.001]
13. Yin, W.; Du, J.; Li, J.; Zhang, Z. Effects of continuous cropping obstacle on growth of Rehmannia glutinosa. China J. Chin. Mater. Medica; 2009; 34, pp. 18-21.
14. Luo, L.; Guo, C.; Wang, L.; Zhang, J.; Deng, L.; Luo, K.; Huang, H.; Liu, Y.; Mei, X.; Zhu, S. Negative plant-soil feedback driven by re-assemblage of the rhizosphere microbiome with the growth of Panax notoginseng. Front. Microbiol.; 2019; 10, 1597. [DOI: https://dx.doi.org/10.3389/fmicb.2019.01597]
15. Bao, L.; Liu, Y.; Ding, Y.; Shang, J.; Wei, Y.; Tan, Y.; Zi, F. Interactions between phenolic acids and microorganisms in rhizospheric soil from continuous cropping of Panax notoginseng. Front. Microbiol.; 2022; 13, 791603. [DOI: https://dx.doi.org/10.3389/fmicb.2022.791603]
16. Zhao, Y.P.; Lin, S.; Chu, L.; Gao, J.; Azeem, S.; Lin, W. Insight into structure dynamics of soil microbiota mediated by the richness of replanted Pseudostellaria heterophylla. Sci. Rep.; 2016; 6, 26175. [DOI: https://dx.doi.org/10.1038/srep26175]
17. Wu, L.K.; Chen, J.; Xiao, Z.G.; Zhu, X.C.; Wang, J.Y.; Wu, H.M.; Wu, Y.H.; Zhang, Z.Y.; Lin, W.X. Barcoded pyrosequencing reveals a shift in the bacterial community in the rhizosphere and rhizoplane of Rehmannia glutinosa under consecutive monoculture. Int. J. Mol. Sci.; 2018; 19, 850. [DOI: https://dx.doi.org/10.3390/ijms19030850]
18. Wu, L.K.; Wu, H.M.; Chen, J.; Wang, J.Y.; Lin, W.X. Microbial community structure and its temporal changes in Rehmannia glutinosa rhizospheric soils monocultured for different years. Eur. J. Soil Biol.; 2016; 72, pp. 1-5. [DOI: https://dx.doi.org/10.1016/j.ejsobi.2015.12.002]
19. Panth, M.; Hassler, S.C.; Baysal-Gurel, F. Methods for management of soilborne diseases in crop production. Agriculture; 2020; 10, 16. [DOI: https://dx.doi.org/10.3390/agriculture10010016]
20. Belay, A.; Claassens, A.S.; Wehner, F.C. Soil nutrient contents, microbial properties and maize yield under long-term legume-based crop rotation and fertilization: A comparison of residual effect of manure and NPK fertilizers. S. Afr. J. Plant Soil; 2002; 19, pp. 104-110. [DOI: https://dx.doi.org/10.1080/02571862.2002.10634447]
21. Liu, N.; Shao, C.; Sun, H.; Liu, Z.; Guan, Y.; Wu, L.; Zhang, L.; Pan, X.; Zhang, Z.; Zhang, Y. et al. Arbuscular mycorrhizal fungi biofertilizer improves American ginseng (Panax quinquefolius L.) growth under the continuous cropping regime. Geoderma; 2020; 363, 114155. [DOI: https://dx.doi.org/10.1016/j.geoderma.2019.114155]
22. An, Y.; Yang, D.; Li, X.; Jin, X.J. Study on the effect and physiological mechanism of continuous cropping obstruction of Pinellia ternata. Acta Agric. Borealioccident. Sin.; 2018; 27, pp. 1017-1022.
23. Dai, L.; Singh, S.K.; Gong, H.; Tang, Y.; Peng, Z.; Zhang, J.; Wu, D.; Zhang, H.; He, D. Rhizospheric microbial consortium of Lilium lancifolium Thunb. causes lily root rot under continuous cropping system. Front. Microbiol.; 2022; 13, 981615. [DOI: https://dx.doi.org/10.3389/fmicb.2022.981615] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36386686]
24. Gu, L.; Niu, M.M.; Zheng, H.Y.; Wang, J.M.; Wu, L.K.; Li, Z.F.; Zhang, Z.Y. Effect of continuous cropping of Rehmannia on its morphological and physiological characteristics. J. Chin. Med. Mater.; 2013; 36, pp. 691-695.
25. Zhao, Q.; Xiong, W.; Xing, Y.; Sun, Y.; Lin, X.; Dong, Y. Long-term coffee monoculture alters soil chemical properties and microbial communities. Sci. Rep.; 2018; 8, 6116. [DOI: https://dx.doi.org/10.1038/s41598-018-24537-2]
26. Zhang, X.; Zhang, E.; Wang, H.; Lang, D. Effects of continuous cropping obstacle on growth of Angelica sinensis and its mechanism. China J. Chin. Mater. Medica; 2010; 35, pp. 1231-1234.
27. Tan, Y.; Cui, Y.; Li, H.; Kuang, A.; Li, X.; Wei, Y.; Ji, X. Rhizospheric soil and root endogenous fungal diversity and composition in response to continuous Panax notoginseng cropping practices. Microbiol. Res.; 2017; 194, pp. 10-19. [DOI: https://dx.doi.org/10.1016/j.micres.2016.09.009] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27938858]
28. Yan, W.P.; Cao, S.J.; Wu, Y.G.; Ye, Z.C.; Zhang, C.; Yao, G.L.; Yu, J.; Yang, D.M.; Zhang, J.F. Integrated analysis of physiological, mRNA sequencing and miRNA sequencing data reveals a specific mechanism for the response to continuous cropping obstacles in Pogostemon cablin roots. Front. Plant Sci.; 2022; 13, 853110. [DOI: https://dx.doi.org/10.3389/fpls.2022.853110] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35432413]
29. He, Y.; Zhang, M.; Zhou, W.; Ai, L.; You, J.; Liu, H.; You, J.; Wang, H.; Wassie, M.; Wang, M. et al. Transcriptome analysis reveals novel insights into the continuous cropping induced response in Codonopsis tangshen, a medicinal herb. Plant Physiol. Biochem.; 2019; 141, pp. 279-290. [DOI: https://dx.doi.org/10.1016/j.plaphy.2019.06.001] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31202192]
30. Shen, Y.L.; Cheng, L.Y.; Zhang, T.; Li, Q.; Zhan, Y.; Yan, N.; Wang, E.P.; Chen, C.B. Identification of ginseng (Panax ginseng C.A. Mayer) continuous cropping obstacle responsive miRNAs and their target genes. Appl. Ecol. Environ. Res.; 2023; 21, pp. 1025-1041. [DOI: https://dx.doi.org/10.15666/aeer/2102_10251041]
31. Liu, H.; Niu, M.; Zhu, S.; Zhang, F.; Liu, Q.; Liu, Y.; Liu, R.H.; Zhang, Y.P. Effect study of continuous monoculture on the quality of Salvia miltiorrhiza Bge roots. BioMed Res. Int.; 2020; 4284385. [DOI: https://dx.doi.org/10.1155/2020/4284385] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32596308]
32. Alami, M.M.; Xue, J.; Ma, Y.; Zhu, D.; Gong, Z.; Shu, S.; Wang, X. Structure, diversity, and composition of bacterial communities in rhizospheric soil of Coptis chinensis Franch under continuously cropped fields. Diversity; 2020; 12, 57. [DOI: https://dx.doi.org/10.3390/d12020057]
33. Wu, H.; Wu, L.; Zhu, Q.; Wang, J.; Qin, X.; Xu, J.; Kong, L.; Chen, J.; Lin, S.; Umar, K.M. et al. The role of organic acids on microbial deterioration in the Radix pseudostellariae rhizosphere under continuous monoculture regimes. Sci. Rep.; 2017; 7, 3497. [DOI: https://dx.doi.org/10.1038/s41598-017-03793-8] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28615734]
34. Zhang, J.; Fan, S.; Qin, J.; Dai, J.; Zhao, F.; Gao, L.; Lian, X.; Shang, W.; Xu, X.; Hu, X. Changes in the microbiome in the soil of an American ginseng continuous plantation. Front. Plant Sci.; 2020; 11, 572199. [DOI: https://dx.doi.org/10.3389/fpls.2020.572199] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33365038]
35. Kaur, J.; Singh, J. Long-term effects of continuous cropping and different nutrient management practices on the distribution of organic nitrogen in soil under rice-wheat system. Plant Soil Environ.; 2014; 60, pp. 63-68. [DOI: https://dx.doi.org/10.17221/440/2013-PSE]
36. Ashworth, A.J.; DeBruyn, J.M.; Allen, F.L.; Radosevich, M.; Owens, P.R. Microbial community structure is affected by cropping sequences and poultry litter under long-term no-tillage. Soil Biol. Biochem.; 2017; 114, pp. 210-219. [DOI: https://dx.doi.org/10.1016/j.soilbio.2017.07.019]
37. Van Wyk, D.A.; Adeleke, R.; Rhode, O.H.; Bezuidenhout, C.C.; Mienie, C. Ecological guild and enzyme activities of rhizosphere soil microbial communities associated with Bt-maize cultivation under field conditions in north west province of South Africa. J. Basic Microbiol.; 2017; 57, pp. 781-792. [DOI: https://dx.doi.org/10.1002/jobm.201700043]
38. Jacoby, R.; Peukert, M.; Succurro, A.; Koprivova, A.; Kopriva, S. The role of soil microorganisms in plant mineral nutrition current knowledge and future directions. Front. Plant Sci.; 2017; 8, 1617. [DOI: https://dx.doi.org/10.3389/fpls.2017.01617]
39. Pervaiz, Z.H.; Iqbal, J.; Zhang, Q.; Chen, D.; Wei, H.; Saleem, M. Continuous cropping alters multiple biotic and abiotic indicators of soil health. Soil Syst.; 2020; 4, 59. [DOI: https://dx.doi.org/10.3390/soilsystems4040059]
40. Enwall, K.; Nyberg, K.; Bertilsson, S.; Cederlund, H.; Stenström, J.; Hallin, S. Long-term impact of fertilization on activity and composition of bacterial communities and metabolic guilds in agricultural soil. Soil Biol. Biochem.; 2007; 39, pp. 106-115. [DOI: https://dx.doi.org/10.1016/j.soilbio.2006.06.015]
41. Klein, E.; Katan, J.; Gamliel, A. Soil suppressiveness by organic amendment to Fusarium disease in cucumber: Effect on pathogen and host. Phytoparasitica; 2016; 44, pp. 239-249. [DOI: https://dx.doi.org/10.1007/s12600-016-0512-7]
42. Chen, P.; Wang, Y.Z.; Liu, Q.Z.; Zhang, Y.T.; Li, X.Y.; Li, H.Q.; Li, W.H. Phase changes of continuous cropping obstacles in strawberry (Fragaria × ananassa Duch.) production. Appl. Soil Ecol.; 2020; 155, 103626. [DOI: https://dx.doi.org/10.1016/j.apsoil.2020.103626]
43. Urashima, Y.; Sonoda, T.; Fujita, Y.; Uragami, A. Application of PCR-denaturing-gradient gel electrophoresis (DGGE) method to examine microbial community structure in asparagus fields with growth inhibition due to continuous cropping. Microbes Environ.; 2012; 27, pp. 43-48. [DOI: https://dx.doi.org/10.1264/jsme2.ME11222] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22200640]
44. Santhanam, R.; Luu, V.T.; Weinhold, A.; Goldberg, J.; Oh, Y.; Baldwin, I.T. Native root-associated bacteria rescue a plant from a sudden-wilt disease that emerged during continuous cropping. Proc. Natl. Acad. Sci. USA; 2015; 112, pp. E5013-E5020. [DOI: https://dx.doi.org/10.1073/pnas.1505765112]
45. Philippot, L.; Raaijmakers, J.M.; Lemanceau, P.; van der Putten, W.H. Going back to the roots: The microbial ecology of the rhizosphere. Nat. Rev. Microbiol.; 2013; 11, pp. 789-799. [DOI: https://dx.doi.org/10.1038/nrmicro3109]
46. Picone, N.; Pol, A.; Mesman, R.; van Kessel, M.A.; Cremers, G.; van Gelder, A.H.; van Alen, T.A.; Jetten, M.S.; Lücker, S.; Op den Camp, H.J. Ammonia oxidation at pH 2.5 by a new gammaproteobacterial ammonia-oxidizing bacterium. ISME J.; 2021; 15, pp. 1150-1164. [DOI: https://dx.doi.org/10.1038/s41396-020-00840-7]
47. Smith, E.G.; Zentner, R.P.; Campbell, C.A.; Lemke, R.; Brandt, K. Long term crop rotation effects on production, grain quality, profitability, and risk in the northern great plains. J. Agron.; 2017; 109, pp. 957-967. [DOI: https://dx.doi.org/10.2134/agronj2016.07.0420]
48. Brooker, R.W.; Bennett, A.E.; Cong, W.F.; Daniell, T.J.; George, T.S.; Hallett, P.D.; Hawes, C.; Iannetta, P.P.; Jones, H.G.; Karley, A.J. et al. Improving intercropping: A synthesis of research in agronomy, plant physiology and ecology. New Phytol.; 2015; 206, pp. 107-117. [DOI: https://dx.doi.org/10.1111/nph.13132]
49. Naresh, R.K.; Chandra, M.S.; Baliyan, A.; Kumar, B.N.; Kanaujiya, P.K.; Pathak, S.O.; Kumar, N. Carbon Dynamics in Climate Smart Agriculture Precision Land Leveling Practices on Topsoil Microbial Community Changes and Soil Organic Carbon in Cereal Based Cropping Systems of Sub-Tropical India: A Review. Int. J. Plant Soil Sci.; 2021; 33, pp. 53-66. [DOI: https://dx.doi.org/10.9734/ijpss/2021/v33i730450]
50. Karunakaran, G.; Suriyaprabha, R.; Manivasakan, P.; Yuvakkumar, R.; Rajendran, V.; Prabu, P.; Kannan, N. Effect of nanosilica and silicon sources on plant growth promoting rhizobacteria, soil nutrients and maize seed germination. IET Nanobiotechnol.; 2013; 7, pp. 70-77. [DOI: https://dx.doi.org/10.1049/iet-nbt.2012.0048]
51. Caporaso, J.G.; Lauber, C.L.; Walters, W.A.; Berg-Lyons, D.; Huntley, J.; Fierer, N.; Owens, S.M.; Betley, J.; Fraser, L.; Bauer, M. et al. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME J.; 2012; 6, pp. 1621-1624. [DOI: https://dx.doi.org/10.1038/ismej.2012.8] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22402401]
52. Sengupta, A.; Dick, W.A. Bacterial community diversity in soil under two tillage practices as determined by pyrosequencing. Microb. Ecol.; 2015; 70, pp. 853-859. [DOI: https://dx.doi.org/10.1007/s00248-015-0609-4] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25930203]
53. Cayetano, R.D.A.; Park, J.; Kim, G.B.; Jung, J.H.; Kim, S.H. Enhanced anaerobic digestion of waste-activated sludge via bioaugmentation strategy—Phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt2) analysis through hydrolytic enzymes and possible linkage to system performance. Bioresour. Technol.; 2021; 332, 125014. [DOI: https://dx.doi.org/10.1016/j.biortech.2021.125014] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33839513]
54. Nunan, N.; Schmidt, H.; Raynaud, X. The ecology of heterogeneity: Soil bacterial communities and C dynamics. Philos. Trans. R. Soc. B Biol. Sci.; 2020; 375, 20190249. [DOI: https://dx.doi.org/10.1098/rstb.2019.0249] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32200737]
55. Karlen, D.L.; Hurley, E.G.; Andrews, S.S.; Cambardella, C.A.; Meek, D.W.; Duffy, M.D.; Mallarino, A.P. Crop rotation effects on soil quality at three northern corn/soybean belt locations. Agron. J.; 2006; 98, pp. 484-495. [DOI: https://dx.doi.org/10.2134/agronj2005.0098]
56. Banerjee, S.; Bora, S.; Thrall, P.H.; Richardson, A.E. Soil C and N as causal factors of spatial variation in extracellular enzyme activity across grassland-woodland ecotones. Appl. Soil Ecol.; 2016; 105, pp. 1-8. [DOI: https://dx.doi.org/10.1016/j.apsoil.2016.04.002]
57. Ashagrie, Y.; Zech, W.; Guggenberger, G.; Mamo, T. Soil aggregation, and total and particulate organic matter following conversion of native forests to continuous cultivation in Ethiopia. Soil Tillage Res.; 2007; 94, pp. 101-108. [DOI: https://dx.doi.org/10.1016/j.still.2006.07.005]
58. Borjesson, G.; Bolinder, M.A.; Kirchmann, H.; Kätterer, T. Organic carbon stocks in topsoil and subsoil in long-term ley and cereal monoculture rotations. Biol. Fertil. Soils; 2018; 54, pp. 549-558. [DOI: https://dx.doi.org/10.1007/s00374-018-1281-x]
59. Hati, K.M.; Swarup, A.; Dwivedi, A.K.; Misra, A.K.; Bandyopadhyay, K.K. Changes in soil physical properties and organic carbon status at the topsoil horizon of a vertisol of central India after 28 years of continuous cropping, fertilization and manuring. Agric. Ecosyst. Environ.; 2007; 119, pp. 127-134. [DOI: https://dx.doi.org/10.1016/j.agee.2006.06.017]
60. Ashworth, A.J.; Allen, F.L.; Wight, J.P.; Saxton, A.M.; Tyler, D.D.; Sams, C.E. Soil organic carbon sequestration rates under crop sequence diversity, bio-covers, and no-tillage. Soil Sci. Soc. Am. J.; 2014; 78, pp. 1726-1733. [DOI: https://dx.doi.org/10.2136/sssaj2013.09.0422]
61. Wacal, C.; Ogata, N.; Basalirwa, D.; Sasagawa, D.; Ishigaki, T.; Handa, T.; Kato, M.; Tenywa, M.M.; Masunaga, T.; Yamamoto, S. et al. Imbalanced soil chemical properties and mineral nutrition in relation to growth and yield decline of sesame on different continuously cropped upland fields converted paddy. Agronomy; 2019; 9, 184. [DOI: https://dx.doi.org/10.3390/agronomy9040184]
62. Fiorini, A.; Boselli, R.; Maris, S.C.; Santelli, S.; Ardenti, F.; Capra, F.; Tabaglio, V. May conservation tillage enhance soil C and N accumulation without decreasing yield in intensive irrigated croplands? Results from an eight-year maize monoculture. Agric. Ecosyst. Environ.; 2020; 296, 106926. [DOI: https://dx.doi.org/10.1016/j.agee.2020.106926]
63. Katterer, T.; Bolinder, M.A.; Andrén, O.; Kirchmann, H.; Menichetti, L. Roots contribute more to refractory soil organic matter than above-ground crop residues, as revealed by a long-term field experiment. Agric. Ecosyst. Environ.; 2011; 141, pp. 184-192. [DOI: https://dx.doi.org/10.1016/j.agee.2011.02.029]
64. Liptzin, D.; Norris, C.E.; Cappellazzi, S.B.; Mac, B.G.; Cope, M.; Greub, K.L.; Rieke, E.L.; Tracy, P.W.; Aberle, E.; Ashworth, A. et al. An evaluation of carbon indicators of soil health in long-term agricultural experiments. Soil Biol. Biochem.; 2022; 172, 108708. [DOI: https://dx.doi.org/10.1016/j.soilbio.2022.108708]
65. Aparicio, V.; Costa, J.L. Soil quality indicators under continuous cropping systems in the Argentinean Pampas. Soil Tillage Res.; 2007; 96, pp. 155-165. [DOI: https://dx.doi.org/10.1016/j.still.2007.05.006]
66. Wojewódzki, P.; Ciescinska, B. Effect of crop rotation and long term fertilization on the carbon and glomalin content in the soil. J. Cent. Eur. Agric.; 2012; 13, pp. 814-821. [DOI: https://dx.doi.org/10.5513/JCEA01/13.4.1134]
67. Mahal, N.; Osterholz, W.; Miguez, F.; Poffenbarger, H.; Sawyer, J.; Olk, D.; Archontoulis, S.; Castellano, M. Nitrogen fertilizer suppresses mineralization of soil organic matter in maize agroecosystems. Front. Ecol. Evol.; 2019; 7, 59. [DOI: https://dx.doi.org/10.3389/fevo.2019.00059]
68. Gentry, L.E.; Below, F.E.; David, M.B.; Bergerou, J.A. Source of the soybean N credit in maize production. Plant Soil; 2001; 236, pp. 175-184. [DOI: https://dx.doi.org/10.1023/A:1012707617126]
69. Gentry, L.F.; Ruffo, M.L.; Below, F.E. Identifying factors controlling the continuous corn yield penalty. Agron. J.; 2013; 105, pp. 295-303. [DOI: https://dx.doi.org/10.2134/agronj2012.0246]
70. Agegnehu, G.; Lakew, B.; Nelson, P.N. Cropping sequence and nitrogen fertilizer effects on the productivity and quality of malting barley and soil fertility in the Ethiopian highlands. Arch. Agron. Soil Sci.; 2014; 60, pp. 1261-1275. [DOI: https://dx.doi.org/10.1080/03650340.2014.881474]
71. Raguet, P.; Cade-Menun, B.; Mollier, A.; Abdi, D.; Ziadi, N.; Karam, A.; Morel, C. Mineralization and speciation of organic phosphorus in a sandy soil continuously cropped and phosphorus-fertilized for 28 years. Soil Biol. Biochem.; 2023; 178, 108938. [DOI: https://dx.doi.org/10.1016/j.soilbio.2022.108938]
72. Hussain, M.Z.; Bhardwaj, A.K.; Basso, B.; Robertson, G.P.; Hamilton, S.K. Nitrate leaching from continuous corn, perennial grasses, and poplar in the US Midwest. J. Environ. Qual.; 2019; 48, pp. 1849-1855. [DOI: https://dx.doi.org/10.2134/jeq2019.04.0156]
73. Sanchez, J.E.; Willson, T.C.; Kizilkaya, K.; Parker, E.; Harwood, R.R. Enhancing the mineralizable nitrogen pool through substrate diversity in long term cropping systems. Soil Sci. Soc. Am. J.; 2001; 65, pp. 1442-1447. [DOI: https://dx.doi.org/10.2136/sssaj2001.6551442x]
74. Agegnehu, G.; Nelson, P.N.; Bird, M.I. Crop yield, plant nutrient uptake and soil physicochemical properties under organic soil amendments and nitrogen fertilization on Nitisols. Soil Tillage Res.; 2016; 160, pp. 1-13. [DOI: https://dx.doi.org/10.1016/j.still.2016.02.003]
75. Jiao, X.L.; Zhang, X.S.; Lu, X.H.; Qin, R.; Bi, Y.M.; Gao, W.W. Effects of maize rotation on the physicochemical properties and microbial communities of American ginseng cultivated soil. Sci. Rep.; 2019; 9, 8615. [DOI: https://dx.doi.org/10.1038/s41598-019-44530-7]
76. Studdert, G.A.; Monterubbianesi, M.G.; Domínguez, G.F. Use of RothC to simulate changes of organic carbon stock in the arable layer of a Mollisol of the southeastern Pampas under continuous cropping. Soil Tillage Res.; 2011; 117, pp. 191-200. [DOI: https://dx.doi.org/10.1016/j.still.2011.10.006]
77. Ashworth, A.J.; Owens, P.R.; Allen, F.L. Long-term cropping systems management influences soil strength and nutrient cycling. Geoderma; 2020; 361, 114062. [DOI: https://dx.doi.org/10.1016/j.geoderma.2019.114062]
78. Domínguez, G.F.; Diovisalvi, N.V.; Studdert, G.A.; Monterubbianesi, M.G. Soil organic C and N fractions under continuous cropping with contrasting tillage systems on mollisols of the southeastern Pampas. Soil Tillage Res.; 2009; 102, pp. 93-100. [DOI: https://dx.doi.org/10.1016/j.still.2008.07.020]
79. Zhalnina, K.; Dias, R.; de Quadros, P.D.; Davis-Richardson, A.; Camargo, F.A.; Clark, I.M.; McGrath, S.P.; Hirsch, P.R.; Triplett, E.W. Soil pH determines microbial diversity and composition in the park grass experiment. Microb. Ecol.; 2015; 69, pp. 395-406. [DOI: https://dx.doi.org/10.1007/s00248-014-0530-2] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25395291]
80. Bowles, T.M.; Acostamartinez, V.; Calderon, F.J.; Jackson, L.E. Soil enzyme activities, microbial communities, and carbon and nitrogen availability in organic agroecosystems across an intensively-managed agricultural landscape. Soil. Biol. Biochem.; 2014; 68, pp. 252-262. [DOI: https://dx.doi.org/10.1016/j.soilbio.2013.10.004]
81. Wang, S.; Ren, J.; Huang, T.; Qiao, G.; Hu, H.; Li, W.; Wu, F.; Pan, K. Evaluation of soil enzyme activities and microbial communities in tomato continuous cropping soil treated with jerusalem artichoke residues. Commun. Soil Sci. Plant Anal.; 2018; 49, pp. 2727-2740.
82. Rubio, V.; Quincke, A.; Ernst, O. Deep tillage and nitrogen do not remediate cumulative soil deterioration effects of continuous cropping. Agron. J.; 2021; 113, pp. 5584-5596. [DOI: https://dx.doi.org/10.1002/agj2.20927]
83. Jones, A.R.; Orton, T.G.; Dalal, R.C. The legacy of cropping history reduces the recovery of soil carbon and nitrogen after conversion from continuous cropping to permanent pasture. Agric. Ecosyst. Environ.; 2016; 216, pp. 166-176. [DOI: https://dx.doi.org/10.1016/j.agee.2015.09.029]
84. Scavo, A.; Abbate, C.; Mauromicale, G. Plant allelochemicals: Agronomic, nutritional and ecological relevance in the soil system. Plant Soil; 2019; 442, pp. 23-48. [DOI: https://dx.doi.org/10.1007/s11104-019-04190-y]
85. Ullah, S.; Xu, Y.; Liao, C.; Li, W.; Cheng, F.; Ye, S.; Yang, M. Continuous planting Eucalyptus plantations in subtropical China: Soil phenolic acid accumulation and adsorption physiognomies. Front. For. Glob. Chang.; 2023; 6, 1135029. [DOI: https://dx.doi.org/10.3389/ffgc.2023.1135029]
86. Kumar, S.; Jakhar, S.R.; Dahiya, S.; Jangir, C.K.; Meena, R.S. Soil sickness and productivity from ecological aspects. J. Pharmacogn. Phytochem.; 2017; 6, pp. 827-831.
87. Yeasmin, R.; Nakamatsu, K.; Matsumoto, H.; Motoki, S.; Nishihara, E.; Yamamoto, S. Inference of allelopathy and autotoxicity to varietal resistance of asparagus (Asparagus officinalis L.). Aust. J. Crop Sci.; 2014; 8, pp. 251-256.
88. Hu, Y.S.; Wu, K.; Li, C.X.; Sun, F.L.; Jia, X.C. Effects of phenolic compounds on the growth of Cucumis sativus seedlings and Fusarium oxysporum hypha. Chin. J. Ecol.; 2007; 26, pp. 1738-1742.
89. Yuan, F.; Zhang, C.L.; Shen, Q.R. Effect and mechanism of phenol compounds in alleviating cucumber Fusarium wilt. Sci. Agric. Sin.; 2004; 34, pp. 545-551.
90. Chen, P.; Hou, Y.; Zhuge, Y.; Wei, W.; Huang, Q. The effects of soils from different forest types on the growth of the invasive plant Phytolacca americana. Forests; 2019; 10, 492. [DOI: https://dx.doi.org/10.3390/f10060492]
91. Topps, D.; Khabir, M.I.U.; Abdelmagid, H.; Jackson, T.; Iqbal, J.; Robertson, B.K.; Pervaiz, Z.H.; Saleem, M. Impact of cover crop monocultures and mixtures on organic carbon contents of soil aggregates. Soil Syst.; 2021; 5, 43. [DOI: https://dx.doi.org/10.3390/soilsystems5030043]
92. Ali, A.; Imran Ghani, M.; Li, Y.; Ding, H.; Meng, H.; Cheng, Z. Hiseq base molecular characterization of soil microbial community, diversity structure, and predictive functional profiling in continuous cucumber planted soil affected by diverse cropping systems in an intensive greenhouse region of northern China. Int. J. Mol. Sci.; 2019; 20, 2619. [DOI: https://dx.doi.org/10.3390/ijms20112619] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31141960]
93. Liu, J.K.; Yan, Z.Q.; Li, X.Z.; Jin, H.; Yang, X.Y.; Xie, M.; Su, A.X.; Qin, B. Characterization of allelochemicals from the rhizosphere soil of Pinellia ternate (Thnub.) and their inhibition activity on protective enzymes. Appl. Soil Ecol.; 2018; 125, pp. 301-306. [DOI: https://dx.doi.org/10.1016/j.apsoil.2018.01.001]
94. Tagele, S.B.; Kim, R.H.; Jeong, M.; Jung, D.R.; Lee, D.; Shin, J.H. An optimized biofumigant improves pepper yield without exerting detrimental effects on soil microbial diversity. Chem. Biol. Technol. Agric.; 2022; 9, 99. [DOI: https://dx.doi.org/10.1186/s40538-022-00365-5]
95. Briar, S.S.; Wichman, D.; Reddy, G.V. Plant-parasitic nematode problems in organic agriculture. J. Sustain. Agric.; 2016; 9, pp. 107-122.
96. Murage, E.W.; Karanja, N.K.; Smithson, P.C.; Woomer, P.L. Diagnostic indicators of soil quality in productive and non-productive smallholders’ fields of Kenya’s Central Highlands. Agric. Ecosyst. Environ.; 2000; 79, pp. 1-8. [DOI: https://dx.doi.org/10.1016/S0167-8809(99)00142-5]
97. Higo, M.; Sato, R.; Serizawa, A.; Takahashi, Y.; Gunji, K.; Tatewaki, Y.; Isobe, K. Can phosphorus application and cover cropping alter arbuscular mycorrhizal fungal communities and soybean performance after a five-year phosphorus-unfertilized crop rotational system?. PeerJ; 2018; 6, e4606. [DOI: https://dx.doi.org/10.7717/peerj.4606]
98. Edwards, D.; Batley, J.; Snowdon, R.J. Accessing complex crop genomes with next-generation sequencing. Theor. Appl. Genet.; 2013; 126, pp. 1-11. [DOI: https://dx.doi.org/10.1007/s00122-012-1964-x]
99. Wu, B.; Long, Q.; Gao, Y.; Wang, Z.; Shao, T.; Liu, Y.; Li, Y.; Ding, W. Comprehensive characterization of a time-course transcriptional response induced by autotoxins in Panax ginseng using RNA-Seq. BMC Genom.; 2015; 16, 1010. [DOI: https://dx.doi.org/10.1186/s12864-015-2151-7]
100. Zhang, J.; He, L.; Wu, Y.; Ma, W.; Chen, H.; Ye, Z. Comparative proteomic analysis of Pogostemon cablin leaves after continuous cropping. Protein Expr. Purif.; 2018; 152, pp. 13-22. [DOI: https://dx.doi.org/10.1016/j.pep.2018.07.004]
101. Xu, Y.X.; Liu, J.J.; Liu, X.F.; Li, H.; Yang, Z.; Wang, H.B.; Huang, X.Y.; Lan, L.; An, Y.T.; Li, L.J. et al. Continuous cropping of alfalfa (Medicago sativa L.) reduces bacterial diversity and simplifies cooccurrence networks in aeolian sandy soil. Soil Ecol. Lett.; 2021; 4, pp. 131-143. [DOI: https://dx.doi.org/10.1007/s42832-021-0083-5]
102. Zhou, W.; Jiang, X.; Tan, X.; Li, D.; Wang, H.; You, J.; Li, X.; Zhang, M. Transcriptome analysis provides novel insights into the soil amendments induced response in continuously cropped Codonopsis tangshen. Front. Plant Sci.; 2022; 13, 972804. [DOI: https://dx.doi.org/10.3389/fpls.2022.972804] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36035706]
103. He, Z.; Wang, Y.; Yan, Y.; Qin, S.; He, H.; Mao, R.; Liang, Z. Dynamic analysis of physiological indices and transcriptome profiling revealing the mechanisms of the allelopathic effects of phenolic acids on Pinellia ternata. Front. Plant Sci.; 2022; 13, 1039507. [DOI: https://dx.doi.org/10.3389/fpls.2022.1039507]
104. Li, J.; Chen, X.; Zhan, R.; He, R. Transcriptome profiling reveals metabolic alteration in Andrographis paniculata in response to continuous cropping. Ind. Crops Prod.; 2019; 137, pp. 585-596. [DOI: https://dx.doi.org/10.1016/j.indcrop.2019.05.067]
105. Swamy, M.K.; Sinniah, U.R. Patchouli (Pogostemon cablin Benth.): Botany, agrotechnology and biotechnological aspects. Ind. Crops Prod.; 2016; 87, pp. 161-176. [DOI: https://dx.doi.org/10.1016/j.indcrop.2016.04.032]
106. Yan, W.; Liu, X.; Cao, S.; Yu, J.; Zhang, J.; Yao, G.; Yang, H.; Yang, D.; Wu, Y. Molecular basis of Pogostemon cablin responding to continuous cropping obstacles revealed by integrated transcriptomic, miRNA and metabolomic analyses. Ind. Crops Prod.; 2023; 200, 116862. [DOI: https://dx.doi.org/10.1016/j.indcrop.2023.116862]
107. Lim, E.K.; Doucet, C.J.; Li, Y.; Elias, L.; Worrall, D.; Spencer, S.P.; Ross, J.; Bowles, D.J. The activity of Arabidopsis glycosyltransferases toward salicylic acid, 4- hydroxybenzoic acid and other benzoates. J. Biol. Chem.; 2002; 277, pp. 586-592. [DOI: https://dx.doi.org/10.1074/jbc.M109287200]
108. Wu, F.H.; Ding, Y.Q.; Nie, Y.X.; Wang, X.J.; An, Y.Q.; Roessner, U.; Walker, R.; Du, B.; Bai, J.G. Plant metabolomics integrated with transcriptomics and rhizospheric bacterial community indicates the mitigation effects of Klebsiella oxytoca P620 on p-hydroxybenzoic acid stress in cucumber. J. Hazard. Mater.; 2021; 415, 125756. [DOI: https://dx.doi.org/10.1016/j.jhazmat.2021.125756]
109. Yan, W.; Cao, S.; Liu, X.; Yao, G.; Yu, J.; Zhang, J.; Bian, T.; Yu, W.; Wu, Y. Combined physiological and transcriptome analysis revealed the response mechanism of Pogostemon cablin roots to p-hydroxybenzoic acid. Front. Plant Sci.; 2022; 13, 980745. [DOI: https://dx.doi.org/10.3389/fpls.2022.980745]
110. Mashego, M.R.; Rumbold, K.; De Mey, M.; Vandamme, E.; Soetaert, W.; Heijnen, J.J. Microbial metabolomics: Past, present and future methodologies. Biotechnol. Lett.; 2007; 29, pp. 1-16. [DOI: https://dx.doi.org/10.1007/s10529-006-9218-0]
111. Collins, S.L.; Koo, I.; Peters, J.M.; Smith, P.B.; Patterson, A.D. Current Challenges and Recent Developments in Mass Spectrometry–Based Metabolomics. Annu. Rev. Anal. Chem.; 2021; 14, pp. 467-487. [DOI: https://dx.doi.org/10.1146/annurev-anchem-091620-015205]
112. Meng, X.; Huang, X.; Li, Q.; Wang, E.; Chen, C. Application of UPLC-Orbitrap-HRMS targeted metabolomics in screening of allelochemicals and model plants of ginseng. J. Plant Physiol.; 2023; 285, 153996. [DOI: https://dx.doi.org/10.1016/j.jplph.2023.153996]
113. Zheng, F.; Chen, L.; Gao, J.; Niu, F.; Duan, X.; Yin, L.; Tian, W. Identification of autotoxic compounds from Atractylodes macrocephala Koidz and preliminary investigations of their influences on immune system. J. Plant Physiol.; 2018; 230, pp. 33-39. [DOI: https://dx.doi.org/10.1016/j.jplph.2018.08.006] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30144693]
114. Xu, H.; Song, J.; Luo, H.; Zhang, Y.; Li, Q.; Zhu, Y.; Xu, J.; Li, Y.; Song, C.; Wang, B. et al. Analysis of the genome sequence of the medicinal plant Salvia miltiorrhiza. Mol. Plant; 2016; 9, pp. 949-952. [DOI: https://dx.doi.org/10.1016/j.molp.2016.03.010] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27018390]
115. Sun, C.; Cui, L.; Zhou, B.; Wang, X.; Guo, L.; Liu, W. Visualizing the spatial distribution and alteration of metabolites in continuously cropped Salvia miltiorrhiza Bge using MALDI-MSI. J. Pharm. Anal.; 2022; 12, pp. 719-724. [DOI: https://dx.doi.org/10.1016/j.jpha.2021.09.011] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36320597]
116. Sun, C.; Ma, S.; Li, L.; Wang, D.; Liu, W.; Liu, F.; Guo, L.; Wang, X. Visualizing the distributions and spatiotemporal changes of metabolites in Panax notoginseng by MALDI mass spectrometry imaging. J. Ginseng Res.; 2021; 45, pp. 726-733. [DOI: https://dx.doi.org/10.1016/j.jgr.2021.04.001]
117. Li, L.; Jiang, J.L. Analysis of specific metabolites in rhizosphere soil of Panax quinquefolius L. with root rot diseases based on metabolomics. Med. Plant Res.; 2022; 12, pp. 1-8. [DOI: https://dx.doi.org/10.5376/mpr.2022.12.0003]
118. Chen, Y.; Liu, Z.; Tu, N.; Hu, Y.; Jin, C.; Luo, Y.; Liu, A.; Zhang, X. Integrated transcriptome and microRNA profiles analysis reveals molecular mechanisms underlying the consecutive monoculture problem of Polygonatum odoratum. Cell. Mol. Biol.; 2020; 66, pp. 47-52. [DOI: https://dx.doi.org/10.14715/2020.66.2.7]
119. Pagano, L.; Rossi, R.; Paesano, L.; Marmiroli, N.; Marmiroli, M. miRNA regulation and stress adaptation in plants. Environ. Exp. Bot.; 2021; 184, 104369. [DOI: https://dx.doi.org/10.1016/j.envexpbot.2020.104369]
120. Hayzadeh, M.; Turktas, M.; Khawar, K.M.; Unver, T. miR408 overexpression causes increased drought tolerance in chickpea. Gene; 2015; 555, pp. 186-193. [DOI: https://dx.doi.org/10.1016/j.gene.2014.11.002]
121. Kang, Y.C.; Yang, X.Y.; Liu, Y.H.; Shi, M.F.; Zhang, W.N.; Fan, Y.L.; Yao, Y.; Zhang, J.; Qin, S. Integration of mRNA and miRNA analysis reveals the molecular mechanism of potato (Solanum tuberosum L.) response to alkali stress. Int. J. Biol. Macromol.; 2021; 182, pp. 938-949. [DOI: https://dx.doi.org/10.1016/j.ijbiomac.2021.04.094] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33878362]
122. Gutierrez-Garcia, C.; Ahmed, S.S.S.J.; Ramalingam, S.; Selvaraj, D.; Srivastava, A.; Paul, S.; Sharma, A. Identification of microRNAs from medicinal plant Murraya koenigii by high-throughput sequencing and their functional implications in secondary metabolite biosynthesis. Plan. Theory; 2022; 11, 46. [DOI: https://dx.doi.org/10.3390/plants11010046] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35009050]
123. Huang, H.W. Plant diversity and conservation in China: Planning a strategic bio resource for a sustainable future. Bot. J. Linn. Soc.; 2011; 166, pp. 282-300. [DOI: https://dx.doi.org/10.1111/j.1095-8339.2011.01157.x] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22059249]
124. Kumar, K.; Gupta, S.C.; Chander, Y.; Singh, A.K. Antibiotic use in agriculture and its impact on the terrestrial environment. Adv. Agron.; 2005; 87, pp. 1-54.
125. Yang, Y.; Chen, X.; Chen, J.; Xu, H.; Li, J.; Zhang, Z. Differential miRNA expression in Rehmannia glutinosa plants subjected to continuous cropping. BMC Plant Biol.; 2011; 11, 53. [DOI: https://dx.doi.org/10.1186/1471-2229-11-53]
126. Zhang, G.; Jiang, N.H.; Song, W.L.; Ma, C.H.; Yang, S.C.; Chen, J.W. De novo sequencing and transcriptome analysis of Pinellia ternata identify the candidate genes involved in the biosynthesis of benzoic acid and ephedrine. Front. Plant Sci.; 2016; 7, 1209. [DOI: https://dx.doi.org/10.3389/fpls.2016.01209]
127. Yu, Y.; Jia, T.; Chen, X. The ‘how’ and ‘where’ of plant micro RNAs. New Phytol.; 2017; 216, pp. 1002-1017. [DOI: https://dx.doi.org/10.1111/nph.14834]
128. Funikov, S.Y.; Zatcepina, O.G. Regulation of microRNA activity in stress. Mol. Biol.; 2017; 51, pp. 496-505. [DOI: https://dx.doi.org/10.1134/S0026893317030050]
129. Chen, P.; Li, H.Q.; Li, X.Y.; Zhou, X.H.; Zhang, X.X.; Zhang, A.S.; Liu, Q.Z. Transcriptomic analysis provides insight into defensive strategies in response to continuous cropping in strawberry (Fragaria× ananassa Duch.) plants. BMC Plant Biol.; 2022; 22, 476. [DOI: https://dx.doi.org/10.1186/s12870-022-03857-6]
130. Zhang, H.; Jin, W.; Zhu, X.; Liu, L.; He, Z.; Yang, S.; Liang, Z.; Yan, X.; He, Y.; Liu, Y. Identification and characterization of Salvia miltiorrhizain miRNAs in response to replanting disease. PLoS ONE; 2016; 11, e0159905. [DOI: https://dx.doi.org/10.1371/journal.pone.0159905]
131. Huang, W.; Sun, D.; Wang, R.; An, Y. Integration of transcriptomics and metabolomics reveals the responses of sugar beet to continuous cropping obstacle. Front. Plant Sci.; 2021; 12, 711333. [DOI: https://dx.doi.org/10.3389/fpls.2021.711333]
132. Wang, Y.; Liu, K.; Zhou, Y.; Chen, Y.; Jin, C.; Hu, Y. Integrated analysis of microRNA and RNA-seq reveals phenolic acid secretion metabolism in continuous cropping of Polygonatum odoratum. Plants; 2023; 12, 943. [DOI: https://dx.doi.org/10.3390/plants12040943] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36840290]
133. Yang, Y.H.; Li, M.J.; Yi, Y.J.; Li, R.F.; Dong, C.; Zhang, Z.Y. The root transcriptome of Achyranthes bidentata and the identification of the genes involved in the replanting benefit. Plant Cell Rep.; 2018; 37, pp. 611-625. [DOI: https://dx.doi.org/10.1007/s00299-018-2255-z]
134. Lopes, E.A.; Canedo, E.J.; Gomes, V.A.; Vieira, B.S.; Parreira, D.F.; Neves, W. Anaerobic soil disinfestation for the management of soilborne pathogens: A review. Appl. Soil Ecol.; 2022; 174, 104408. [DOI: https://dx.doi.org/10.1016/j.apsoil.2022.104408]
135. Jayaraman, S.; Naorem, A.K.; Lal, R.; Dalal, R.C.; Sinha, N.K.; Patra, A.K.; Chaudhari, S.K. Disease-suppressive soils beyond food Production: A critical review. Soil Sci. Plant Nutr.; 2021; 21, pp. 1437-1465. [DOI: https://dx.doi.org/10.1007/s42729-021-00451-x] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33746349]
136. DuPont, S.T.; Hewavitharana, S.S.; Mazzola, M. Field scale application of Brassica seed meal and anaerobic soil disinfestation for the control of apple replant disease. Appl. Soil Ecol.; 2021; 166, 104076. [DOI: https://dx.doi.org/10.1016/j.apsoil.2021.104076]
137. Givannini, D.; Brandi, F.; Lanteri, A.P.; Lazzeri, L.; Maltoni, M.L.; Matteo, R.; Minuto, A.; Sbrighi, P.; Stagno, F.; Baruzzi, G. Non-chemical soil fumigation for sustainable strawberry production in southern Italy. Agronomy; 2021; 11, 1678. [DOI: https://dx.doi.org/10.3390/agronomy11081678]
138. Gupta, K.K.; Aneja, K.R.; Rana, D. Current status of cow dung as a bioresource for sustainable development. Bioresour. Bioprocess.; 2016; 3, 28. [DOI: https://dx.doi.org/10.1186/s40643-016-0105-9]
139. Wang, L.; Mazzola, M. Field evaluation of reduced rate brassicaceae seed meal amendment and rootstock genotype on the microbiome and control of apple replant disease. Phytopathology; 2019; 109, pp. 1378-1391. [DOI: https://dx.doi.org/10.1094/PHYTO-02-19-0045-R]
140. Pu, R.; Wang, P.; Guo, L.; Li, M.; Cui, X.; Wang, C.; Liu, Y.; Yang, Y. The remediation effects of microbial organic fertilizer on soil microorganisms after chloropicrin fumigation. Ecotoxicol. Environ. Saf.; 2022; 231, 113188. [DOI: https://dx.doi.org/10.1016/j.ecoenv.2022.113188]
141. Cheng, H.; Zhang, D.; Huang, B.; Song, Z.; Ren, L.; Hao, B.; Liu, J.; Zhu, J.; Fang, W.; Yan, D. et al. Organic fertilizer improves soil fertility and restores the bacterial community after 1,3-dichloropropene fumigation. Sci. Total Environ.; 2020; 738, 140345. [DOI: https://dx.doi.org/10.1016/j.scitotenv.2020.140345] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32806339]
142. Ding, S.; Zhou, D.; Wei, H.; Wu, S.; Xie, B. Alleviating soil degradation caused by watermelon continuous cropping obstacle: Application of urban waste compost. Chemosphere; 2021; 262, 128387. [DOI: https://dx.doi.org/10.1016/j.chemosphere.2020.128387]
143. Chen, W.; Teng, Y.; Li, Z.; Liu, W.; Ren, W.; Luo, Y.; Christie, P. Mechanisms by which organic fertilizer and effective microbes mitigate peanut continuous cropping yield constraints in a red soil of south China. Appl. Soil Ecol.; 2018; 128, pp. 23-34. [DOI: https://dx.doi.org/10.1016/j.apsoil.2018.03.018]
144. Lehmann, J.; Bossio, D.A.; Kögel-Knabner, I.; Rillig, M.C. The concept and future prospects of soil health. Nat. Rev. Earth Environ.; 2020; 1, pp. 544-553. [DOI: https://dx.doi.org/10.1038/s43017-020-0080-8] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33015639]
145. Deng, X.; Zhang, N.; Li, Y.; Zhu, C.; Qu, B.; Liu, H.; Li, R.; Bai, Y.; Shen, Q.; Falcao, S.J. Bio-organic soil amendment promotes the suppression of Ralstonia solanacearum by inducing changes in the functionality and composition of rhizosphere bacterial communities. New Phytol.; 2022; 235, pp. 1558-1574. [DOI: https://dx.doi.org/10.1111/nph.18221]
146. Liu, J.J.; Yao, Q.; Li, Y.S.; Zhang, W.; Mi, G.; Chen, X.L.; Yu, Z.H.; Wang, G.H. Continuous cropping of soybean alters the bulk and rhizospheric soil fungal communities in a mollisol of Northeast PR China. Land Degrad. Dev.; 2019; 30, pp. 1725-1738. [DOI: https://dx.doi.org/10.1002/ldr.3378]
147. Duran, P.; Thiergart, T.; Garrido-Oter, R.; Agler, M.; Kemen, E.; Schulze-Lefert, P.; Hacquard, S. Microbial interkingdom interactions in roots promote Arabidopsis survival. Cell; 2018; 175, pp. 973-983. [DOI: https://dx.doi.org/10.1016/j.cell.2018.10.020]
148. Fan, Y.; Liu, J.; Liu, Z.; Hu, X.; Yu, Z.; Li, Y.; Chen, X.; Li, L.; Jin, J.; Wang, G. Chitin amendments eliminate the negative impacts of continuous cropping obstacles on soil properties and microbial assemblage. Front. Plant Sci.; 2022; 13, 1067618. [DOI: https://dx.doi.org/10.3389/fpls.2022.1067618]
149. Mbarki, S.; Cerdà, A.; Brestic, M.; Mahendra, R.; Abdelly, C.; Pascual, J.A. Vineyard compost supplemented with Trichoderma Harzianum T78 improve saline soil quality. Land Degrad. Dev.; 2017; 28, pp. 1028-1037. [DOI: https://dx.doi.org/10.1002/ldr.2554]
150. Jeffries, P.; Gianinazzi, S.; Perotto, S.; Turnau, K.; Barea, J.M. The contribution of arbuscular mycorrhizal fungi in sustainable maintenance of plant health and soil fertility. Biol. Fertil. Soils; 2003; 37, pp. 1-16. [DOI: https://dx.doi.org/10.1007/s00374-002-0546-5]
151. Gill, S.S.; Gill, R.; Trivedi, D.K.; Anjum, N.A.; Sharma, K.K.; Ansari, M.W.; Ansari, A.A.; Johri, A.K.; Prasad, R.; Pereira, E. et al. Piriformospora indica: Potential and significance in plant stress tolerance. Front. Microbiol.; 2016; 7, 332. [DOI: https://dx.doi.org/10.3389/fmicb.2016.00332] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27047458]
152. Nuccio, E.E.; Hodge, A.; Pett-Ridge, J.; Herman, D.J.; Weber, P.K.; Firestone, M.K. An arbuscular mycorrhizal fungus significantly modifies the soil bacterial community and nitrogen cycling during litter decomposition. Environ. Microbiol.; 2013; 15, pp. 1870-1881. [DOI: https://dx.doi.org/10.1111/1462-2920.12081]
153. Rodriguez-Caballero, G.; Caravaca, F.; Fernandez-Gonzalez, A.J.; Alguacil, M.M.; Fernandez-Lopez, M.; Roldan, A. Arbuscular mycorrhizal fungi inoculation mediated changes in rhizosphere bacterial community structure while promoting revegetation in a semiarid ecosystem. Sci. Total Environ.; 2017; 584, pp. 838-848. [DOI: https://dx.doi.org/10.1016/j.scitotenv.2017.01.128]
154. Ek, P.; Chatue, G.C.; Wakam, L.N.; Kouipou, R.M.T.; Fokou, P.V.T.; Boyom, F.F. Mycorrhiza consortia suppress the fusarium root rot (Fusarium solani f. sp Phaseoli) in common bean (Phaseolus vulgaris L.). Biol. Control; 2016; 103, pp. 240-250. [DOI: https://dx.doi.org/10.1016/j.biocontrol.2016.10.001]
155. Dong, L.; Xu, J.; Zhang, L.; Cheng, R.; Wei, G.; Su, H.; Yang, J.; Qian, J.; Xu, R.; Chen, S. Rhizospheric microbial communities are driven by Panax ginseng at different growth stages and biocontrol bacteria alleviates replanting mortality. Acta Pharm. Sin. B; 2018; 8, pp. 272-282. [DOI: https://dx.doi.org/10.1016/j.apsb.2017.12.011]
156. El-Khallal, S.M. Induction and modulation of resistance in tomato plants against Fusarium wilt disease by bioagent fungi (Arbuscular mycorrhiza) and/or hormonal elicitors (Jasmonic acid & salicylic acid): 2-changes in the antioxidant enzymes, phenolic compounds and pathogen related-proteins. Aust. J. Basic Appl. Sci.; 2007; 1, pp. 717-732.
157. Ghani, M.I.; Ali, A.; Atif, M.J.; Ali, M.; Amin, B.; Cheng, Z. Arbuscular mycorrhizal fungi and dry raw garlic stalk amendment alleviate continuous monocropping growth and photosynthetic declines in eggplant by bolstering its antioxidant system and accumulation of osmolytes and secondary metabolites. Front. Plant Sci.; 2022; 13, 849521. [DOI: https://dx.doi.org/10.3389/fpls.2022.849521] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35432401]
158. Koocheki, A.; Nassiri, M.; Alimoradi, L.; Ghorbani, R. Effect of cropping systems and crop rotations on weeds. Agron. Sustain. Dev.; 2009; 29, pp. 401-408. [DOI: https://dx.doi.org/10.1051/agro/2008061]
159. Sokolowski, A.C.; McCormick, B.P.; De Grazia, J.; Wolski, J.E.; Rodríguez, H.A.; Rodríguez-Frers, E.P.; Gagey, M.C.; Debelis, S.P.; Paladino, I.R.; Barrios, M.B. Tillage and no-tillage effects on physical and chemical properties of an Argiaquoll soil under long-term crop rotation in Buenos Aires, Argentina. Int. Soil Water Conserv. Res.; 2020; 8, pp. 185-194. [DOI: https://dx.doi.org/10.1016/j.iswcr.2020.02.002]
160. Chongtham, I.R.; Bergkvist, G.; Watson, C.A.; Sandström, E.; Bengtsson, J.; Öborn, I. Factors influencing crop rotation strategies on organic farms with different time periods since conversion to organic production. Biol. Agric. Hortic.; 2016; 33, pp. 14-27. [DOI: https://dx.doi.org/10.1080/01448765.2016.1174884]
161. Chamberlain, L.A.; Bolton, M.L.; Cox, M.S.; Suen, G.; Conley, S.P.; Ane, J.M. Crop rotation, but not cover crops, influenced soil bacterial community composition in a corn-soybean system in southern Wisconsin. Appl. Soil Ecol.; 2020; 154, 103603. [DOI: https://dx.doi.org/10.1016/j.apsoil.2020.103603]
162. Hati, K.M.; Swarup, A.; Singh, D.; Misra, A.K.; Ghosh, P.K. Long-term continuous cropping, fertilization, and manuring effects on physical properties and organic carbon content of a sandy loam soil. Soil Res.; 2006; 44, pp. 487-495. [DOI: https://dx.doi.org/10.1071/SR05156]
163. Hilton, S.; Bennett, A.J.; Keane, G.; Bending, G.D.; Chandler, D.; Stobart, R.; Mills, P. Impact of shortened crop rotation of oilseed rape on soil and rhizosphere microbial diversity in relation to yield decline. PLoS ONE; 2013; 8, e59859. [DOI: https://dx.doi.org/10.1371/journal.pone.0059859]
164. Tiemann, L.K.; Grandy, A.S.; Atkinson, E.E.; Marin-Spiotta, E.; McDaniel, M.D. Crop rotational diversity enhances belowground communities and functions in an agroecosystem. Ecol. Lett.; 2015; 18, pp. 761-771. [DOI: https://dx.doi.org/10.1111/ele.12453] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26011743]
165. Singh, G.; Bhattacharyya, R.; Das, T.K.; Sharma, A.R.; Ghosh, A.; Das, S.; Jha, P. Crop rotation and residue management effects on soil enzyme activities, glomalin and aggregate stability under zero tillage in the Indo-Gangetic Plains. Soil Tillage Res.; 2018; 184, pp. 291-300. [DOI: https://dx.doi.org/10.1016/j.still.2018.08.006]
166. Balota, E.L.; Colozzi-Filho, A.; Andrade, D.S.; Dick, R.P. Microbial biomass in soils under different tillage and crop rotation systems. Biol. Fertil. Soils; 2003; 38, pp. 15-20. [DOI: https://dx.doi.org/10.1007/s00374-003-0590-9]
167. Teresa, D.; Angela, D.; Pedro, M.A. Accounting for soil biotic effects on soil health and crop productivity in the design of crop rotations. J. Sci. Food Agric.; 2015; 95, pp. 447-454.
168. Soman, C.; Li, D.F.; Wander, M.M.; Kent, A.D. Long-term fertilizer and crop rotation treatments differentially affect soil bacterial community structure. Plant Soil; 2016; 413, pp. 145-159. [DOI: https://dx.doi.org/10.1007/s11104-016-3083-y]
169. Wang, F.; Zhang, X.; Wei, M.; Wang, Y.; Liang, Z.; Xia, P. Appropriate crop rotation alleviates continuous cropping barriers by changing rhizosphere microorganisms in Panax notoginseng. Rhizosphere; 2022; 23, 100568. [DOI: https://dx.doi.org/10.1016/j.rhisph.2022.100568]
170. Zhou, X.G.; Liu, J.; Wu, F.Z. Soil microbial communities in cucumber monoculture and rotation systems and their feedback effects on cucumber seedling growth. Plant Soil; 2017; 415, pp. 507-520. [DOI: https://dx.doi.org/10.1007/s11104-017-3181-5]
171. Bedoussac, L.; Journet, E.P.; Hauggaard-Nielsen, H.; Naudin, C.; Corre-Hellou, G.; Jensen, E.S.; Prieur, L.; Justes, E. Ecological principles underlying the increase of productivity achieved by cereal-grain legume intercrops in organic farming. A review. Agron. Sustain. Dev.; 2015; 35, pp. 911-935. [DOI: https://dx.doi.org/10.1007/s13593-014-0277-7]
172. Singh, R.K.; Lui, E.; Wright, D.; Taylor, A.; Bakovic, M. Alcohol extract of North American ginseng (Panax quinquefolius) reduces fatty liver, dyslipidemia, and other complications of metabolic syndrome in a mouse model. Can. J. Physiol. Pharmacol.; 2017; 95, pp. 1046-1057. [DOI: https://dx.doi.org/10.1139/cjpp-2016-0510]
173. Zhang, N.N.; Sun, Y.M.; Wang, E.T.; Yang, J.S.; Yuan, H.L.; Scow, K.M. Effects of intercropping and Rhizobial inoculation on the ammonia oxidizing microorganisms in rhizospheres of maize and faba bean plants. Appl. Soil Ecol.; 2015; 85, pp. 76-85. [DOI: https://dx.doi.org/10.1016/j.apsoil.2014.09.008]
174. Hontoria, C.; García-González, I.; Quemada, M.; Roldán, A.; Alguacil, M.M. The cover crop determines the AMF community composition in soil and in roots of maize after a ten-year continuous crop rotation. Sci. Total Environ.; 2019; 660, pp. 913-922. [DOI: https://dx.doi.org/10.1016/j.scitotenv.2019.01.095] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30743976]
175. Wuest, S.B.; Gollany, H.T. Soil organic carbon and nitrogen after application of nine organic amendments. Soil Sci. Soc. Am. J.; 2013; 77, pp. 237-245. [DOI: https://dx.doi.org/10.2136/sssaj2012.0184]
176. Akinnifesi, F.K.; Makumba, W.; Kwesiga, F.R. Sustainable maize production using gliricidia/maize intercropping in southern Malawi. Exp. Agric.; 2006; 42, pp. 441-457. [DOI: https://dx.doi.org/10.1017/S0014479706003814]
177. Faheem, M.; Raza, W.; Zhong, W.; Nan, Z.; Shen, Q.; Xu, Y. Evaluation of the biocontrol potential of Streptomyces goshikiensis YCXU against Fusarium oxysporum f. sp. niveum. Biol. Control; 2015; 81, pp. 101-110. [DOI: https://dx.doi.org/10.1016/j.biocontrol.2014.11.012]
178. Kumar, A.; Pandey, S.D.; Patel, R.K.; Srivastava, K.; Nath, V. Studies on feasibility of intercropping under litchi based cropping system. Ecoscan Spec.; 2014; 6, pp. 285-289.
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