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Article

Effects of Mulberry Leaves and Pennisetum Hybrid Mix-Silage on Fermentation Parameters and Bacterial Community

College of Animal Science, South China Agricultural University, Guangzhou 510642, China
*
Authors to whom correspondence should be addressed.
Fermentation 2022, 8(5), 197; https://doi.org/10.3390/fermentation8050197
Submission received: 22 March 2022 / Revised: 20 April 2022 / Accepted: 21 April 2022 / Published: 28 April 2022
(This article belongs to the Special Issue Silage Fermentation)

Abstract

:
The silage quality and bacterial community of hybrid Pennisetum (P. hydridum × P. americanum) with or without 30% and 50% mulberry leaves for 3, 7, 14, and 30 days were investigated. Results showed that compared with the 100% hybrid Pennisetum group, more lactic acid (40.71 vs. 80.81 g/kg dry matter (DM)), acetic acid (10.99 vs. 31.84 g/kg DM), lactic acid bacteria (8.46 vs. 8.51 log10 cfu/g fresh matter), water-soluble carbohydrates (2.41 vs. 4.41 g/100 g DM), crude protein (4.97 vs. 10.84 g/100 g DM), and true protein (3.91 vs. 8.52 g/100 g DM) content as well as less neutral detergent fiber (67.30 vs. 47.26 g/100 g DM), acid detergent fiber (33.85 vs. 25.38 g/100 g DM), and yeast counts (4.78 vs. 2.39 log10 cfu/g fresh matter) and an appropriate pH (3.77 vs. 4.06) were found in silages added with 50% mulberry leaves at 30 days of ensiling. Moreover, the addition of mulberry leaves also influenced the relative abundance of the bacterial community. The relative abundance of Firmicutes increased and Proteobacteria decreased when mulberry leaves were added. Weissella and Lactobacillus abundance also increased. To sum up the above, mixing with 50% mulberry leaves yielded the greatest fermentation quality in this study. In conclusion, mixing with mulberry leaves could be a reasonable way to improve the quality of hybrid Pennisetum silage.

1. Introduction

The need for livestock and poultry production, as well as traditional feed resources, is growing as populations grow and people’s living standards rise. Feedstuff scarcity has grown more visible, and the price of traditional feedstuffs with high consumption has progressively risen [1,2]. One of the effective measures for solving the shortage of forage is the development of new crude feeds for local conditions.
Hybrid Pennisetum (P. hydridum × P. americanum) can be found in several Chinese provinces, and it is a prolific and renewable herbaceous plant that has attracted increasing research due to its various advantages, such as salinity and drought resistance, rapid growth, adaptability, and high biological yield [3,4]. Hybrid Pennisetum is widely utilized as a bioenergy grass and may also be used as livestock feed. Hybrid Pennisetum is also a popular tropical grass that is also one of the most prolific. In addition, it is a resourceful plant that can thrive in a variety of situations, including wet or dry regions, and may be grown by small farmers or large-scale agribusiness. In addition, it is an essential fodder that is widely used in the tropics and subtropics [5].
Mulberry (Morus alba) leaf, a Moraceous plant, is widely utilized as Chinese traditional medicine for humans and the primary feeding source for silkworms [6]. It has high protein contents with antioxidant and antibacterial effects, which can be used as green additives to replace antibiotics [7]. As an excellent protein supplement, mulberry leaves are widely used in the diets of terrestrial farm animals such as pigs and sheep, which can promote the growth of animals [8,9]. At the same time, it can adapt to many environmental conditions, from harsh cold regions to tropical regions. Therefore, mulberry leaves are biologically important feedstuff with important biological activities.
However, mulberry leaves have relatively high moisture content and high buffering energy, making them difficult to store for a long time. It is known that gramineous forage is better preserved than legumes due to a higher content of soluble carbohydrates, but its relatively lower nutritional value and higher fiber content make it difficult to promote animal production. In contrast, leguminous plants have less fermentable carbohydrates but have greater protein and mineral content [10]. Therefore, mixed silage of a certain proportion of mulberry leaves and hybrid Pennisetum could increase the success rate of silage and contain complementarity of nutrients.
The present study was conducted to examine the addition of mulberry leaves to the fermentation characteristics and bacterial community composition of hybrid Pennisetum and mulberry leaves mixed silage. We aim to broaden the choice of forage and provide a basis for the further utilization of hybrid Pennisetum and mulberry leaves mixed silage.

2. Materials and Methods

2.1. Silage Preparation

At the Yuyuan Agriculture and Animal Husbandry Base in November 2020 (Meizhou, China, 115°95′ E, 24°64′ N), stems and leaves of hybrid Pennisetum (P. hydridum × P. americanum) and mulberry leaves were harvested and chopped to 1–2 cm. It is considered that grass forages are better mixed with leguminous forages for silage when the leguminous forage content is less than 60% [10]. Therefore, the silages were then separated into three mixing ratios of hybrid Pennisetum (P) and mulberry leaves (M) based on raw material fresh weight: 100:0 (P100), 70:30 (PM73), and 50:50 (PM55). Hybrid Pennisetum was cut at a height of 2 m with a stubble of 20–30 cm. Mulberry leaves were chopped at a height of 1.5 m with a 20–30 cm stubble. A total of 36 bags, each weighing 200 g, were used (3 mixing ratios, 4 silage days, and 3 repeats). After each group of raw materials had been thoroughly mixed according to three treatments, the silages were placed in a polyethylene bag and vacuumed to imitate wrapping silage with a vacuum packing machine (Deli 14886, Guangdong, China). On days 3, 7, 14, and 30, samples were opened for examination of fermentation characteristics and bacterial community.

2.2. Chemical Composition and Fermentation Quality of Silage

Ten grams of individual silage samples were homogenized with distilled water (90 mL) in an orbital shaker at room temperature, and the supernatants were then serially diluted from 10−1 to 10−6. Yeast and mold counts were incubated and counted using Rose Bengal agar (Sigma, St. Louis, MO, USA) at 28 °C for 48 h. Lactic acid bacteria (LAB) were cultured, respectively, on de Man, Rogosa, Sharpe (MRS) agar (Oxoid, London, UK) at 30 °C for 48 h [11]. Another sample (10 g) from each silage bag was diluted in sterile distilled water (90 mL) and frozen at 4 °C for 18 h before being filtered. Then, the filtrate was used to measure pH value with a pH meter (Sartorius, PB-10, Gottingen, Germany). According to Josefa et al. [12], lactic acid (LA) was detected by a colorimetric method. According to Erwin et al. [13], acetic acid (AA), propionic acid (PA), and butyric acid (BA) were detected by the high-efficiency gas chromatograph (Agilent 7890B). The ammonia-N (NH3-N) content was detected by the phenol-hypochlorite colorimetric method [14]. The surplus silages were oven-dried for calculating dry matter (DM) and ground for chemical analysis. Those chemical compounds were analyzed in triplicate and expressed on DM basis. Crude protein (CP) and true protein (TP) were analyzed by the Kjeldahl nitrogen analyzer according to the methods of the Association of Official Analytical Chemists [15]. The neutral detergent fiber (NDF) and acid detergent fiber (ADF) were analyzed according to the method of Van Soest et al. [16]. The content of water-soluble carbohydrates (WSC) was detected by the anthrone method [17].

2.3. Bacterial Community Analysis

Microbial DNA was extracted using the HiPure Soil DNA Kits (or HiPure Stool DNA Kits) (Magen, Guangzhou, China). The 16S rDNA target region of the ribosomal RNA gene was amplified by PCR (95 °C for 5 min, followed by 30 cycles at 95 °C for 1 min, 60 °C for 1 min, and 72 °C for 1 min and a final extension at 72 °C for 7 min [18]. The V3–V4 regions of 16S rDNA were amplified using the primers 515F (5′-GTGCCAGCMGCCGCGGTAA -3′) and 806R (5′-GGACTACHVGGGTATCTAAT-3′) [18]. PCR reactions were performed in triplicate 50 μL mixture containing 10 μL of 5× Q5@ Reaction Buffer, 10 μL of 5× Q5@ High GC Enhancer, 1.5 μL of 2.5 mM dNTPs, 1.5 μL of each primer (10 μM), 0.2 μL of Q5@ High-Fidelity DNA Polymerase, and 50 ng of template DNA. Related PCR reagents were from New England Biolabs (NEB), Ipswich, CA, USA. Amplicons were extracted from 2% agarose gels and purified using the AxyPrep DNA Gel Extraction Kit (Axygen Biosciences, Union City, CA, USA) according to the manufacturer’s instructions and quantified using ABI StepOnePlus Real-Time PCR System (Life Technologies, Foster City, CA, USA). Purified amplicons were pooled in equimolar concentrations and paired-end sequenced (PE250) on an Illumina platform according to the standard protocols. The raw reads were deposited into the NCBI Sequence Read Archive (SRA) database. The paired-end sequenced (PE250) was performed on the Illumina Novaseq 6000 platform. The raw reads were assembled according to the procedure set by Liu et al. [19]. Alpha diversity was analyzed in QIIME (version 1.9.1). Beta diversity was analyzed in the R Project Vegan package (version 2.5.3). The functions of microflora were predicted based on the PICRUSt (version 2.1.4) database.

2.4. Statistical Analyses

The effects of mixing rate and ensiling days on the fermentation quality and chemical characteristics of mulberry leaves and hybrid Pennisetum mix-silage were analyzed with IBM SPSS 22.0 for Windows statistical software package. The results were evaluated using two-way analysis of variance (ANOVA), with Duncan’s multiple range tests. Statistical significance was determined at the p < 0.05 level [20].

3. Results and Discussion

3.1. Characteristics of Pre-Ensiled Mulberry Leaves and Hybrid Pennisetum Material

The characteristics of silage raw materials are shown in Table 1. The CP content of hybrid Pennisetum (6.40% DM) and mulberry leaves (13.92% DM) was relatively lower than the results reported by Ogunsakin et al. [21]. The difference might be because the forage quality could be influenced by many factors, such as climate [22], fertilization, and harvest time [23]. Among the two raw materials, hybrid Pennisetum’s crude protein (6.40%) is much lower than mulberry leaves (13.92%), while DM (35.35%), WSC (10.27%), NDF (72.60%), and ADF (38.32%) were higher than mulberry leaves’ DM (32.95%), WSC (7.34%), NDF (33.93%), and ADF (22.03%). The relatively high CP content and low fiber content of mulberry leaves indicate that mulberry leaves can potentially be used as a high-quality protein source for animals. The WSC content of mulberry leaves and hybrid Pennisetum is greater than 6% DM, so it is sufficient to ensure fermentation quality during silage [24].

3.2. Fermentation Quality of Mulberry Leaves and Hybrid Pennisetum Mix-Silage

3.2.1. The Chemical Composition of Mulberry Leaves and Hybrid Pennisetum Mix-Silage

The chemical composition of mixed silages is shown in Table 2. Factor analysis revealed that ensiling days (D), mixing rate (T), and the interaction of days and rate had significant effects on DM and WSC content. Ensiling days and mixing rate had a significant effect on NDF and ADF. The DM content of each group remained relatively stable. At 3, 7, and 30 days of ensiling, DM content in the PM73 group was significantly higher (p < 0.01) than in the P100 and PM55 groups. In this study, the DM content of three treatments was between 34–37%, which was slightly higher than the ideal content of 30–35% DM [25]. The DM content was not excessively high enough to lead to a restricted fermentation, as evidenced by the good levels of total acids and pH [26].
The WSC content significantly decreased (p < 0.01) with the increase in ensiling days and decreased rapidly at the beginning of ensiling. The WSC content decreased with mulberry leaves addition at 3 days of ensiling. However, after 3 days of the ensiling, a reverse phenomenon was observed. Compared with P100, the PM73 and PM55 groups were significantly higher (p < 0.01). Additionally, at 30 days of ensiling, WSC content in PM55 was the highest, which can be better preserved and is conducive to generating more lactic acid, improving silage quality, which in turn may help to obtain good fermentation quality.
Compared with group P100, with the increase in mulberry leaves, the contents of NDF and ADF were significantly reduced (p < 0.01), and the PM55 group possessed the lowest amounts (47.26%, 25.38%). After 30 days of ensiling, the PM55 treatment was more conducive to the degradation of structural carbohydrates, which is related to the lower fiber raw material characteristics of mulberry leaves.

3.2.2. The Protein Fraction of Mulberry Leaves and Hybrid Pennisetum Mix-Silage

The dynamics of the protein fractions of mulberry leaves and hybrid Pennisetum mixed silage are shown in Table 3. Factor analysis revealed that ensiling days (D), mixing rate (T), and the interaction of days and rate had significant effects on crude protein, true protein content, and ammonia-N content. Compare with P100, the treatment adding mulberry leaves showed significantly higher (p < 0.01) CP and TP content in the same fermentation period, and PM55 had the highest content. Except for 30 days of ensiling, the TP/CP rate gradually increased after mixing with mulberry leaves and the PM55 group was significantly higher (p < 0.01) than the P100 group, implying that the proteins could be preserved better and more stably after mixing with 50% mulberry leaves in the early ensiling time. Moreover, when the ensiling time was prolonged, NH3-N content gradually increased. NH3-N content usually reflects protein decomposition, which is another important indicator for evaluating fermentation quality [27]. After 30 days of ensiling, the content of NH3-N increased (p < 0.01) significantly with the increase in mulberry leaves, and PM55 possessed the highest content, mainly because of the higher protein content of mulberry leaves than hybrid Pennisetum, resulting in increasing the protein decomposition. Santana et al. [10] found a similar phenomenon that when the proportion of L. leucocephala increased, the NH3-N content of Pennisetum purpureum and L. leucocephala mixed silage increased.

3.2.3. Organic Acid Contents, pH of Mulberry Leaves and Hybrid Pennisetum Mixed Silage

The organic acids and pH of mixed silages are shown in Table 4. The factor analysis revealed that ensiling time, mixing proportion, and interaction of time and proportion had a significant effect (p < 0.01) on lactic acid, acetic acid, and pH.
Values of pH constitute an important index of silage fermentation. The purpose of ensiling is to reduce pH below 4.2 as soon as possible to produce stable silage [28]. The results in Table 4 show that the pH of silage increased with the increase in mulberry leaves. Chen et al. [29] found that the high pH of mulberry leaves silage may be caused by the high buffer capacity of mulberry leaves, so the pH increase after mulberry leaves were added may be due to the high buffer capacity of mulberry leaves [30]. The pH of each treatment reached the lowest at 30 days of silage, and all reached the good silage pH range (<4.2).
During the ensiling days, the lactic acid content of the treatments with added mulberry leaves was significantly increased. With the extension of ensiling time, lactic acid content increased. At 30 days of ensiling, the lactic acid content of each treatment reached the highest amount, and the PM55 treatment had the highest lactic acid content. This result may be attributed to the rapid accumulation of lactic acid caused by sufficient WSC content [27], which indicates that mixing hybrid Pennisetum and mulberry leaves can obtain high-quality silage. When the proportion of mulberry leaves is increased, the fermentation mediated by lactic acid bacteria proceeds rapidly while inhibiting the growth of harmful acetogenic bacteria and preventing the occurrence of acetic acid fermentation. This indicates that the mixed silage of mulberry leaves and hybrid Pennisetum may reduce the loss of dry matter and energy.
Moreover, with the extension of ensiling time, the acetic acid content gradually increased. At the same ensiling time, with the proportion of mulberry leaves increased, the acetic acid content increased significantly (p < 0.01) in the late silage period (14–30 days). It may be because the addition of mulberry leaves allows some species of lactobacillus to metabolize lactic acid to acetic acid under conditions of sugar deficiency, thereby increasing the acetic acid content [31]. In addition, butyric acid and propanoic acid were only detected in very few groups, probably due to the rapid growth of lactic acid bacteria and the rapid decrease in pH value; clostridia were inhibited during the silage process, and the growth of butyric acid was inhibited. Similarly, most microorganisms that cause spoilage are usually inhibited at pH < 4.5 which proves the above deduction [31]. Overall, a certain proportioned addition of mulberry leaves may promote the accumulation of lactic acid and improve the quality of mixed silage.

3.3. Bacterial Community of Mulberry Leaves and Hybrid Pennisetum Silage

3.3.1. The Microbial Population of Mulberry Leaves and Hybrid Pennisetum

The dynamics of lactic acid bacteria, yeasts, and molds counts are shown in Table 5. Factor analysis revealed that ensiling days (D), mixing rate (T), and the interaction of days and rate had significant effects (p < 0.01) on lactic acid bacteria and yeasts counts. Large numbers of lactic acid bacteria can reduce pH rapidly and limit the multiplication of dangerous microbes, enhancing silage fermentation quality and lowering losses [32]. During the ensiling process, with the extension of silage time, lactic acid bacteria increased rapidly and decreased slowly. This may be because some lactic acid bacteria such as Leuconostocs, Pediococcus, Lactococci, and Enterococci are inhibited due to their low tolerance to low pH [33]. The lactic acid bacteria counts in the PM73 and PM55 treatment groups were significantly higher (p < 0.01) than that in the P100 group, which is consistent with the higher content of lactic acid. Yeast is the initiator of aerobic degradation of silage [34]. Avila et al. [35] reported that during silage fermentation, the growth and metabolism of yeast always led to the loss of DM. As the silage time increased, the yeast population in each treatment first increased rapidly and then decreased, with the peak occurring on day 14. At 3, 7, and 14 days of silage, the yeast content of the PM55 treatment was significantly lower than that of the PM73 treatment, and the content of the PM73 treatment was significantly lower than that of the P100 treatment. At 30 days of silage, the content of the PM55 treatment was significantly lower than the PM73 and P100 treatments, and the PM73 and P100 treatments had no significant effects. In the same silage period, the number of yeasts was lower in silages added with mulberry leaves and lowest in the PM55 group. This may be explained by the presence of water-soluble substances in mulberry leaves that have a broad spectrum of antimicrobial activity [36]. Hybrid Pennisetum and the water-soluble substances of mulberry leaves might have synergistic effects that inhibit the growth of yeasts, and the lactic acid bacteria may not be influenced. The antibacterial properties of mulberry leaves still require more research. During the whole fermentation process, molds are below the detected range. All in all, when mulberry leaves and hybrid Pennisetum were mixed in a ratio of 1:1, the silage had a better inhibition effect on undesirable bacteria, such as yeasts and molds, and lactic acid bacteria dominated the silage, resulting in good fermentation quality.

3.3.2. The Changes in the Dynamics of Relative Abundance among Bacterial Communities

The dynamics of relative abundance among bacterial communities by phylum are shown in Figure 1. During the entire silage process, the dominant phylum in three different treatments was all Firmicutes; similar results were observed by Tian et al. [37].
With the extension of ensiling time, the relative abundance of Proteobacteria in the P100 treatment gradually decreased, and Firmicutes gradually increased, and the relative abundance of Bacteroides first increased and then decreased. In the PM73 group, the relative abundance of Cyanobacteria first decreased and then increased. The relative abundance of Proteobacteria reached 28.12% at 14 days, and Firmicutes reached its peak at 30 days. In addition, in the PM55 group, the relative abundance of Firmicutes reached its peak (69.90%) at 14 days. Firmicutes are important to the degradation of fibrin in an anaerobic environment and can secrete various cellulases, lipases, and proteases [37]. The abundance of Firmicutes and Cyanobacteria in the group added with mulberry leaves was higher than that in the pure hybrid Pennisetum group, and the PM55 group had the highest, which was consistent with the lower NDF and ADF content in the PM73 and PM55 groups.
At 3 and 14 days of ensiling, as the proportion of mulberry leaves increased, the bacterial richness of Firmicutes increased, while Proteobacteria decreased. Except for the 3 days of ensiling, the abundance of Cyanobacteria increased with the increase in mulberry leaves. Cyanobacteria are a photosynthesizing phylum of bacteria [38], and they may promote protein synthesis. This may explain the better protein preservation in the mulberry-leaf-added treatment group. After 30 days of ensiling, the abundance of bacteria such as Bacteroides, Acidobacteria, and Planctomycetes was always less than 1%. Proteobacteria plays a negative role in the silage process and slows pH reduction while competing with lactic acid bacteria for water-soluble carbohydrates [39]. Compared with the P100 group, the relative abundance of Firmicutes in the PM73 and PM55 groups was higher, but there was lower Proteobacteria abundance in the whole ensiling time, indicating that mixing with mulberry leaves was beneficial for the growth of Firmicutes, enhances the permeability of the outer membrane of Gram-negative bacteria, and inhibits the growth of Proteobacteria [29].
The dynamics of relative abundance among bacterial communities by genus are shown in Figure 2. The mixed silage of hybrid Pennisetum and mulberry leaves is mainly attached to Lactobacillus, Weissella, Pantoea, Leuconostoc bacteria during the entire ensiling period. Weissella is considered to be an early settler in fermentation progress that is replaced by acid-resistant Lactobacilli with a reduced pH [40]. The relative abundance of Weissella gradually decreased and Lactobacillus gradually increased with the extension of ensiling days. After 14 days of ensiling, the most dominant genus was Lactobacillus, accounting for P100 (27.67%), PM73 (28.93%), and PM55 (25.53%), which is similar to the results of Ni et al. [41]. Moreover, the abundance of Weissella was the highest in the PM55 group. Dellaglio et al. [42] found that Weissella plays an important role in the early stage of fermentation. Tian et al. [37] found a similar phenomenon in Moringa oleifera leaves. After 30 days of ensiling, the relative abundance of Lactobacillus in the PM73 group increased to 28.93% (increasing rate 82.47%), which was the highest among the three treatments. Lactobacillus is the main bacteria with ideal functions [43]. Tohno et al. [44] posited that Lactobacillus could produce lactic acid and reduce the pH of silage to inhibit the proliferation of molds and other harmful miscellaneous bacteria. Li et al. [45] found that Pantoea acts similarly to Enterobacter in silage and will compete with lactic acid bacteria for the substrate. In this study, the relative abundance of Pantoea in the P100 group was higher than in the PM73 and PM55 groups, which partially explains the positive effects of mulberry leaves. Furthermore, Leuconostoc is a hetero-fermenting lactic acid bacteria with relatively low abundance, but it is beneficial to the aerobic stability of fermentation. In the same ensiling period, the relative abundance of Leuconostoc in the PM73 and PM55 groups was higher than that in the P100 group. The addition of mulberry leaves made the silage process dominated by heterolactic fermentation, which may be the reason for the higher acetic acid content in mulberry leaves treatment. Therefore, major desirable lactic acid bacteria after ensiling, Leuconostoc, Pediococcus, and Weissella, became more abundant in hybrid Pennisetum with mulberry leaves. This is consistent with the increase in the lactic acid bacteria count, which might explain the better fermentation quality of hybrid Pennisetum silage mixed with mulberry leaves.

3.3.3. Effect of Different Proportions of Hybrid Pennisetum and Mulberry Leaves Mixed Silage on Alpha Diversity of Bacteria

The alpha diversity of the mixed silage bacterial community is shown in Table 6. It showed that the good coverage values of all treatments are above 0.99, indicating that the sampling data are sufficient to represent most bacterial communities in different samples. Alpha diversity is adopted to measure the richness, diversity, and evenness of species in bacterial communities. From the Chao1 and ACE index of three treatments, the bacterial species richness of three groups decreased with the increase in mulberry leaves, except for 30 days of ensiling. With prolonged ensiling time, the Sobs, Ace, and Chao1 indices reduce after an increase in the P100 group, which indicated that the bacterial richness climbs up and then declines. Compared with the P100 group, the silage with added mulberry leaves generally showed a lower Shannon index at the same stage of ensiling, which indicated that mulberry leaves decreased the diversity of the bacterial community of mixed silage. Polley et al. [46] reported that when the advantageous bacteria are abundant, the diversity of microbial communities is reduced. This may be caused by antibacterial activity, which affects the competition between different bacteria and accelerates the growth of beneficial bacteria such as lactic acid bacteria in this study.

3.3.4. Effect of Different Proportions of Hybrid Pennisetum and Mulberry Leaves Mixed Silage on β-Diversity of Bacteria

The dynamic variation of the bacterial community was illustrated by principal component analysis (Figure 3). After 7 days of ensiling, it was obvious that the silages with added mulberry leaves were separated from the P100, which suggests that the microbial community changed during the ensiling process. The distinctiveness of the bacterial communities among all treatments might account for the better fermentation that occurred in the mixed silages with added mulberry leaves, which contributes to the better fermentation quality of the PM55 group. Similar results have been reported by Ni et al. [41], who found the 100% forage soybean samples were separated from the other samples (30% forage soybean + 70% crop corn/sorghum and 50% forage soybean + 50% crop corn/sorghum) by the β-diversity analysis, which suggested that mixed ensiling had an impact on the microbial community. When the ensiling time was prolonged, each group was significantly separated from the 30 days of ensiling, and the microbial community of each treatment changed during the silage process. The uniqueness of the bacterial communities in all treatments may explain the better fermentation in the silage treated with mulberry leaves.

3.3.5. 16S rDNA Gene-Predicted Functional Profiles

The 16S rDNA gene-predicted functional profiles are shown in Figure 4. Based on reference genomic databases and marker gene data, PICRUSt is a calculational method for predicting the function and pathway location of metagenomes [47]. The discrepancy of bacterial composition and abundance in respective treatment groups might be the key reason for differences in gene-predicted functions. Mulberry leaves inhibited the metabolism of other amino acids, carbohydrates, folding, sorting and degradation, membrane transport, lipid metabolism, energy metabolism, signal transduction, cell motility, biosynthesis of other secondary metabolites, and so on, which might be attributed to the antibacterial properties of mulberry leaves and directly inhibit microbial activity. What is more, the addition of mulberry leaves may induce the abundant variation of some functional bacteria. However, the mechanisms remain unclear. Although further research is needed, the results of the predicted functions indicate that mixing with mulberry leaves had a positive effect on the fermentation quality and silage quality of hybrid Pennisetum and mulberry leaves mixed silage.

4. Conclusions

This study revealed that mixing with mulberry leaves could be an alternative approach to improve the quality of hybrid Pennisetum silage. The content of NDF, ADF, and yeast counts decreased, whereas lactic acid, CP, and TP increased after mixing with mulberry leaves. The abundance of Pantoea decreased, whereas Lactobacillus, Weissella, and Leuconostoc abundance increased when mulberry leaves were added. Therefore, the addition of a certain percentage of mulberry leaves could effectively preserve the quality of mulberry leaves and hybrid Pennisetum mix-silage, and the combination of 50% mulberry leaves was the most effective.

Author Contributions

Conceptualization, Y.G.; methodology, H.T.; software, Z.C.; validation, Z.C.; formal analysis, Z.C.; investigation, M.D.; resources, M.D.; data curation, Z.C.; writing— original draft preparation, Z.C. and Y.L.; writing—review and editing, B.S. and D.L.; supervision, G.L.; project administration, Y.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Nature Science Foundation of China (31872382), Guangdong Provincial Promotion Project on Preservation and Utilization of Local Breed of Livestock and Poultry (4300-F18260), the Modern Agricultural Industrial Technology System of Guangdong Province (2019KJ127), and the Guangdong Basic and Applied Basic Research Foundation-Enterprise (Wens) Joint Fund (2019B1515210017).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The sequences were deposited into the NCBI Sequence Read Archive 437 (SRA) database, and the accession number is PRJNA828016.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ding, Y.; Jiang, X.; Yao, X.; Zhang, H.; Song, Z.; He, X.; Cao, R. Effects of feeding fermented Mulberry Leaf powder on growth performance, slaughter performance, and meat quality in chicken broilers. Animals 2021, 11, 3294. [Google Scholar] [CrossRef] [PubMed]
  2. Li, Y.; Wang, J.; Mei, J.; Huang, L.; Liu, H. Effects of Mulberry Branch and Leaves silage on microbial community, rumen fermentation characteristics, and milk yield in lactating dairy cows. Fermentation 2022, 8, 86. [Google Scholar] [CrossRef]
  3. Wang, S.; Chen, J.; Yang, G.; Gao, W.; Chen, K. Efficient conversion of Hubrid Pennisetum to glucose by oxygen-aqueous alkaline ionic liquid media pretreatment under benign conditions. Bioresour. Technol. 2017, 243, 335–338. [Google Scholar] [CrossRef]
  4. Chen, M.; Lung, S.; Du, Z.; Chye, M. Engineering plants to tolerate abiotic stresses. Biocatal. Agric. Biotechnol. 2014, 3, 81–87. [Google Scholar] [CrossRef]
  5. Shah, A.; Qian, C.; Wu, J.; Liu, Z.; Khan, S.; Tao, Z.; Zhang, X.; Khan, I.; Zhong, X. Effects of natamycin and Lactobacillus plantarum on the chemical composition, microbial community, and aerobic stability of Hybrid Pennisetum at different temperatures. Rsc Adv. 2020, 10, 8692–8702. [Google Scholar] [CrossRef] [Green Version]
  6. Wang, B.; Luo, H. Effects of mulberry leaf silage on antioxidant and immunomodulatory activity and rumen bacterial community of lambs. BMC Microbiol. 2021, 21, 250. [Google Scholar] [CrossRef]
  7. He, L.; Zhou, W.; Wang, C.; Yang, F.; Chen, X.; Qing, Z. Effect of cellulase and Lactobacillus casei on ensiling characteristics, chemical composition, antioxidant activity, and digestibility of mulberry leaf silage. J. Dairy Sci. 2019, 102, 9919–9931. [Google Scholar] [CrossRef]
  8. Zhao, X.; Li, L.; Luo, Q.; Ye, M.; Luo, G.; Kuang, Z. Effects of mulberry (Morus alba) leaf polysaccharides on growth performance, diarrhea, blood parameters, and gut microbiota of early-weanling pigs. Livest. Sci. 2015, 177, 88–94. [Google Scholar] [CrossRef]
  9. Liu, J.X.; Yao, J.; Yan, B.; Yu, J.Q.; Shi, Z.Q. Effects of mulberry leaves to replace rapeseed meal on performance of sheep feeding on ammoniated rice straw diet. Small Rumin. Res. 2001, 39, 131–136. [Google Scholar] [CrossRef]
  10. Santana, P.; Cisneros, L.; Martínez, A.; Pascual, S. Conservation and chemical composition of Leucaena leucocephala plus fresh or wilted Pennisetum purpureum mixed silages. Revista MVZ Córdoba 2015, 20, 4895–4906. [Google Scholar] [CrossRef] [Green Version]
  11. Yy, A.; Xl, A.; Hao, G.; Lh, A.; Xiao, M.; Yan, P.; Zhou, L.; Gang, N.; Jz, A.; Wy, B. Microbial community and fermentation characteristic of Italian ryegrass silage prepared with corn stover and lactic acid bacteria. Bioresour. Technol. 2019, 279, 166–173. [Google Scholar] [CrossRef]
  12. Josefa, M.; Antonio, M.; Fuensanta, H.; María, D. A comparative study on the determination of lactic acid in silage juice by colorimetric, high-performance liquid chromatography and enzymatic methods. J. Sci. Food Agric. 1999, 79, 1722–1726. [Google Scholar] [CrossRef]
  13. Erwin, S.; Marco, G.; Emery, A.E. Volatile fatty acid analyses of blood and rumen fluid by gas chromatography. J. Dairy Sci. 1961, 44, 1768–1771. [Google Scholar] [CrossRef]
  14. Ke, W.; Ding, W.; Xu, D.; Ding, L.; Zhang, R.; Li, F.; Guo, X. Effects of addition of malic or citric acids on fermentation quality and chemical characteristics of alfalfa silage. J. Dairy Sci. 2017, 100, 8958–8966. [Google Scholar] [CrossRef] [Green Version]
  15. Helrick, K. Official Methods of Analysis, 15th ed.; Association of Official Analytical Chemists: Washington, DC, USA, 1990; p. 703. [Google Scholar]
  16. Van Soest, P.J.; Robertson, J.B.; Lewis, B.A. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J. Dairy Sci. 1991, 74, 3583–3597. [Google Scholar] [CrossRef]
  17. Murphy, R.P. A method for the extraction of plant samples and the determination of total soluble carbohydrates. J. Sci. Food Agric. 2010, 9, 714–717. [Google Scholar] [CrossRef]
  18. Guo, M.; Wu, F.; Hao, G.; Qi, Q.; Rong, L.; Li, N.; Wei, L.; Chai, T. Bacillus subtilis improves immunity and disease resistance in rabbits. Front. Immunol. 2017, 8, 354. [Google Scholar] [CrossRef] [Green Version]
  19. Liu, B.; Huan, H.; Gu, H.; Xu, N.; Shen, Q.; Ding, C. Dynamics of a microbial community during ensiling and upon aerobic exposure in lactic acid bacteria inoculation-treated and untreated barley silages. Bioresour. Technol. 2019, 273, 212–219. [Google Scholar] [CrossRef]
  20. Wang, C.; Zheng, M.; Wu, S.; Zou, X.; Chen, X.; Ge, L.; Zhang, Q. Effects of gallic acid on fermentation parameters, protein fraction, and bacterial community of whole plant soybean silage. Front. Microbiol. 2021, 12, 662966. [Google Scholar] [CrossRef]
  21. Ojo, V.; Ogunsakin, A.; Dele, P.; Adelusi, O.; Olanite, J.; Adeoye, S.; Amole, T.; Onifade, O. Yield and chemical composition of Pennisetum hybrid fertilized with animal manures and harvested at different times. Mal. J. Anim. Sci. 2015, 18, 65–80. [Google Scholar]
  22. Soest, P.; Mertens, D.; Deinum, B. Preharvest factors influencing quality of conserved forage. J. Anim. 1978, 47, 712–720. [Google Scholar] [CrossRef]
  23. Qing, Z.; Yu, Z.; Yang, H.; Na, R. The effects of stage of growth and additives with or without cellulase on fermentation and invitro degradation characteristics of Leymus chinensis silage. Grass Forage Sci. 2016, 71, 595–606. [Google Scholar] [CrossRef]
  24. Zhang, Y.; Li, D.; Wang, X.; Lin, Y.; Qing, Z.; Chen, X.; Yang, F. Fermentation dynamics and diversity of bacterial community in four typical woody forages. Ann. Microbiol. 2019, 69, 233–240. [Google Scholar] [CrossRef]
  25. Guyader, J.; Baron, V.; Beauchemin, K. Corn Forage Yield and quality for silage in short growing season areas of the canadian prairies. Agronomy 2018, 8, 164. [Google Scholar] [CrossRef] [Green Version]
  26. Calabrò, S.; Cutrignelli, M.I.; Bovera, F.; Piccolo, G.; Infascelli, F. In vitro fermentation kinetics of carbohydrate fractions of fresh forage, silage and hay of Avena sativa. J. Sci. Food Agric. 2005, 85, 1838–1844. [Google Scholar] [CrossRef]
  27. Wang, Y.; Chen, X.; Wang, C.; He, L.; Zhou, W.; Yang, F.; Qing, Z. The bacterial community and fermentation quality of mulberry (Morus alba) leaf silage with or without Lactobacillus casei and sucrose. Bioresour. Technol. 2019, 293, 122059. [Google Scholar] [CrossRef]
  28. Wang, S.; Yuan, X.; Dong, Z.; Li, J.; Shao, T. Effect of ensiling corn stover with legume herbages in different proportions on fermentation characteristics, nutritive quality and invitro digestibility on the Tibetan Plateau. Grassl. Sci. 2017, 63, 236–244. [Google Scholar] [CrossRef]
  29. Chen, D.; Zhou, W.; Guo, X.; Zheng, M.; Zhang, Q. Citric acid influences the dynamics of the fermentation quality, protease activity and microbial community of Mulberry Leaf Silage. Fermentation 2021, 7, 185. [Google Scholar] [CrossRef]
  30. Trabi, E.B.; Yuan, X.; Li, J.; Dong, Z.; Shah, A.A.; Shao, T. Effect of glucose and lactic acid bacteria on the fermentation quality, chemical compositions and in vitro digestibility of Mulberry (Morns alba) Leaf Silage. Pak. J. Zool. 2017, 49, 2271–2277. [Google Scholar] [CrossRef]
  31. Parvin, S.; Wang, C.; Li, Y.; Nishino, N. Effects of inoculation with lactic acid bacteria on the bacterial communities of Italian ryegrass, whole crop maize, guinea grass and rhodes grass silages. Anim. Feed Sci. Technol. 2010, 160, 160–166. [Google Scholar] [CrossRef]
  32. Weinberg, Z.G.; Muck, R.E. New trends and opportunities in the development and use of inoculants for silage. FEMS Microbiol. Rev. 2010, 19, 53–68. [Google Scholar] [CrossRef]
  33. Cai, Y.; Benno, Y.; Ogawa, M.; Ohmomo, S.; Kumai, S.; Nakase, T. Influence of Lactobacillus spp. from an inoculant and of Weissella and Leuconostoc spp. from forage crops on silage fermentation. Appl. Environ. Microbiol. 1998, 64, 2982–2987. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Pahlow, G.; Muck, R.E.; Driehuis, F.; Elferink, S.O.; Spoelstra, S.F. Microbiology of ensiling. Silage Sci. Technol. 2003, 42, 31–93. [Google Scholar]
  35. Avila, C.; Carvalho, B.; Pinto, J.; Duarte, W.; Schwan, R. The use of Lactobacillus species as starter cultures for enhancing the quality of sugar cane silage. J. Dairy Sci. 2014, 97, 940–951. [Google Scholar] [CrossRef] [PubMed]
  36. Omidiran, M.; Baiyewu, R.; Ademola, I.; Fakorede, O.; Adekunle, E. Phytochemical analysis, nutritional composition and antimicrobial activities of White Mulberry (Morus alba). Pak. J. Nutr. 2012, 11, 456. [Google Scholar] [CrossRef] [Green Version]
  37. Tian, H.; Wang, Y.; Liu, Z.; Hu, Z.; Guo, Y.; Deng, M.; Liu, G.; Sun, B. Effects of malic acid and sucrose on the fermentation parameters, CNCPS nitrogen fractions, and bacterial community of Moringa oleifera Leaves Silage. Microorganisms 2021, 9, 2102. [Google Scholar] [CrossRef]
  38. Heberline, J.A. Cyanobacteria: Omics and manipulation. Environ. Prog. Sustain. 2017, 36, 980. [Google Scholar] [CrossRef]
  39. Wu, Z.; Luo, Y.; Bao, J.; Luo, Y.; Yu, Z. Additives affect the distribution of metabolic profile, microbial communities and antibiotic resistance genes in high-moisture sweet corn kernel silage. Bioresour. Technol. 2020, 315, 123821. [Google Scholar] [CrossRef]
  40. Graf, K.; Ulrich, A.; Idler, C.; Klocke, M. Bacterial community dynamics during ensiling of perennial ryegrass at two compaction levels monitored by terminal restriction fragment length polymorphism. J. Appl. Microbiol. 2016, 120, 1479–1491. [Google Scholar] [CrossRef] [Green Version]
  41. Ni, K.; Zhao, J.; Zhu, B.; Su, R.; Pan, Y.; Ma, J.; Zhou, G.; Yong, T.; Liu, X.; Zhong, J. Assessing the fermentation quality and microbial community of the mixed silage of forage soybean with crop corn or sorghum. Bioresource Technol. 2018, 265, 563–567. [Google Scholar] [CrossRef]
  42. Dellaglio, F.; Torriani, S. DNA-DNA homology, physiological characteristics and distribution of lactic acid bacteria isolated from maize silage. J. Appl. Microbiol. 1986, 60, 83–92. [Google Scholar] [CrossRef]
  43. Chen, M.M.; Liu, Q.H.; Xin, G.R.; Zhang, J.G. Characteristics of lactic acid bacteria isolates and their inoculating effects on the silage fermentation at high temperature. Lett. Appl. Microbiol. 2013, 56, 71–78. [Google Scholar] [CrossRef] [PubMed]
  44. Tohno, M.; Kobayashi, H.; Nomura, M.; Uegaki, R.; Cai, Y. Identification and characterization of lactic acid bacteria isolated from mixed pasture of timothy and orchardgrass, and its badly preserved silage. Anim. Sci. J. 2011, 3, 318–330. [Google Scholar] [CrossRef]
  45. Lian, L.; Zhen, Y.; Yong, S.; Xiao, K.; Peng, D.; Jia, Z. A reused method for molasses-processed wastewater: Effect on silage quality and anaerobic digestion performance of Pennisetum Purpereum. Bioresour. Technol. 2017, 241, 1003–1011. [Google Scholar] [CrossRef]
  46. Polley, H.W.; Derner, W. Dominant species constrain effects of species diversity on temporal variability in biomass production of Tallgrass Prairie. Oikos 2007, 116, 2044–2052. [Google Scholar] [CrossRef] [Green Version]
  47. Langille, M.; Zaneveld, J.; Caporaso, J.G.; Mcdonald, D.; Knights, D.; Reyes, J.A.; Clemente, J.C.; Burkepile, D.E.; Thurber, R.V.; Knight, R. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat. Biotechnol. 2013, 31, 814–821. [Google Scholar] [CrossRef]
Figure 1. Bacterial community and relative abundance by phylum for mulberry leaf silages (P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1; 3d, 3 days of ensiling; 7d, 7 days of ensiling; 14d, 14 days of ensiling; 30d, 30 days of ensiling).
Figure 1. Bacterial community and relative abundance by phylum for mulberry leaf silages (P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1; 3d, 3 days of ensiling; 7d, 7 days of ensiling; 14d, 14 days of ensiling; 30d, 30 days of ensiling).
Fermentation 08 00197 g001
Figure 2. Bacterial community and relative abundance by genus for mulberry leaf silages (P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1; 3d, 3 days of ensiling; 7d, 7 days of ensiling; 14d, 14 days of ensiling; 30d, 30 days of ensiling).
Figure 2. Bacterial community and relative abundance by genus for mulberry leaf silages (P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1; 3d, 3 days of ensiling; 7d, 7 days of ensiling; 14d, 14 days of ensiling; 30d, 30 days of ensiling).
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Figure 3. Principal component analysis of the bacterial community for hybrid Pennisetum and mulberry leaves mixed silage (P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1; 3d, 3 days of ensiling; 7d, 7 days of ensiling; 14d, 14 days of ensiling; 30d, 30 days of ensiling).
Figure 3. Principal component analysis of the bacterial community for hybrid Pennisetum and mulberry leaves mixed silage (P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1; 3d, 3 days of ensiling; 7d, 7 days of ensiling; 14d, 14 days of ensiling; 30d, 30 days of ensiling).
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Figure 4. Heatmap of 16S rDNA gene-predicted functional profiles obtained with PICRUSt2 (P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1; 3d, 3 days of ensiling; 7d, 7 days of ensiling; 14d, 14 days of ensiling; 30d, 30 days of ensiling).
Figure 4. Heatmap of 16S rDNA gene-predicted functional profiles obtained with PICRUSt2 (P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1; 3d, 3 days of ensiling; 7d, 7 days of ensiling; 14d, 14 days of ensiling; 30d, 30 days of ensiling).
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Table 1. The chemical composition of pre-ensiled mulberry leaves and hybrid Pennisetum.
Table 1. The chemical composition of pre-ensiled mulberry leaves and hybrid Pennisetum.
ItemsDM (%)WSC (% DM)NDF (% DM)ADF (% DM)CP (% DM)
Mulberry leaves (± SEM)32.95 ± 1.547.34 ± 0.5233.93 ± 1.2722.03 ± 1.0513.92 ± 0.05
Hybrid Pennisetum (±SEM)35.35 ± 0.3810.27 ± 0.4472.60 ± 1.7638.32 ± 0.156.40 ± 0.01
Table 2. The chemical composition of mulberry leaves and hybrid Pennisetum mix-silage.
Table 2. The chemical composition of mulberry leaves and hybrid Pennisetum mix-silage.
ItemTreatmentEnsiling DaysSEMp Value
371430 DTD × T
DM (%)P10034.73 b35.09 b34.52 b35.10 b0.046<0.01<0.010.001
PM7335.33 aB36.62 aA36.53 aA36.64 aA
PM5534.36 bB35.33 bA35.73 aA36.03 bA
WSC (% DM)P1006.44 A4.56 bB3.02 bC2.41 bC0.042<0.01<0.01<0.01
PM736.18 A5.54 aB4.71 aC4.35 aD
PM555.93 A5.25 aB4.88 aB4.41 aC
NDF (% DM)P10070.53 aA69.01 aA68.41 aA67.30 aB0.17<0.01<0.010.81
PM7360.58 bA58.54 bA58.76 bA57.70 bB
PM5550.48 cA49.89 cA48.65 cB47.26 cC
ADF (% DM)P10036.93 aA35.37 aB34.31 aC33.85 aD0.078<0.01<0.010.26
PM7332.73 bA31.96 bA31.48 bA30.32 bB
PM5527.59 cA27.01 cA26.10 cA25.38 cB
D, ensiling days; T, treatments; D × T, the interaction of ensiling days and treatments; DM, dry matter; P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1. Different capital letters (A–D) in the same row indicate significant differences between different days of the same treatment at p < 0.05; different lowercase letters (a–c) in the same column indicate significant differences between different treatments on the same day at p < 0.05.
Table 3. The protein fraction of mulberry leaves and hybrid Pennisetum mix-silage.
Table 3. The protein fraction of mulberry leaves and hybrid Pennisetum mix-silage.
ItemTreatmentEnsiling DaysSEMp Value
371430 DTD × T
CP
(% DM)
P1005.32 cA5.04 cB4.96 cB4.97 cB0.0160.001<0.010.01
PM738.31 bA8.18 bAB8.07 bB8.27 bA
PM5510.76 aA10.65 aB10.69 aA10.84 aA
TP
(% DM)
P1003.96 cA3.76 cB3.86 cAB3.91 cA0.0140.023<0.010.009
PM736.18 bAB6.21 bAB6.32 bA6.13 bB
PM558.76 aA8.74 aA8.71 aA8.52 aB
TP/CPP1000.750 bA0.760 bA0.779 bAB0.787 aAB0.0030.031<0.010.017
PM730.749 bB0.761 bAB0.783 bA0.741 bAB
PM550.814 aA0.821 aA0.815 aA0.785 aB
NH3-NP1000.25 cC0.30 cB0.37 cA0.39 cA0.003<0.01<0.01<0.01
(g/kg DM)PM730.34 bC0.41 bB0.42 bB0.44 bA
PM550.40 aD0.48 aC0.52 aB0.65 aA
D, ensiling days; T, treatments; D × T, the interaction of ensiling days and treatments; DM, dry matter; P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1. Different capital letters (A–D) in the same row indicate significant differences between different days of the same treatment at p < 0.05; different lowercase letters (a–c) in the same column indicate significant differences between different treatments on the same day at p < 0.05.
Table 4. Organic acid contents, pH of mulberry leaves and hybrid Pennisetum mixed silage.
Table 4. Organic acid contents, pH of mulberry leaves and hybrid Pennisetum mixed silage.
ItemTreatmentEnsiling DaysSEMp Value
371430 DTD × T
Lactic acid
(g/kg DM)
P10031.56 bB36.37 bA36.54 cA40.71 cA0.52<0.01<0.01<0.01
PM7355.62 aB59.18 aB68.02 bA72.16 bA
PM5557.88 aC58.42 aC74.37 aB80.81 aA
Acetic acid
(g/kg DM)
P1004.44 bD6.00 cC9.01 cB10.99 cA0.14<0.01<0.01<0.01
PM736.76 aC21.78 aB22.15 bB24.72 bA
PM557.96 aC18.84 bB33.80 aA31.84 aA
Propanoic acid (g/kg DM)P1000000
PM732000
PM551.960.751.310
Butyric acid (g/kg DM)P1000000
PM732.38000
PM550000
P1004.06 bA4.01 bB3.95 cC3.77 cD0.006<0.01<0.01<0.01
pHPM734.40 aA4.20 aB4.23 aB3.99 bC
PM554.46 aA4.24 aB4.18 bC4.06 aD
D, ensiling days; T, treatments; D × T, the interaction of ensiling days and treatments; DM, dry matter; P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1. Different capital letters (A–D) in the same row indicate significant differences between different days of the same treatment at p < 0.05; different lowercase letters (a–c) in the same column indicate significant differences between different treatments on the same day at p < 0.05.
Table 5. The microbial population of mulberry leaves and hybrid Pennisetum.
Table 5. The microbial population of mulberry leaves and hybrid Pennisetum.
ItemTreatmentEnsiling DaysSEMp Value
371430DTD × T
Lactic acid bacteria (log10 cfu/g FM)P1007.94 cC8.70 bA8.61 cA8.46 B0.02<0.01<0.010.01
PM738.31 aD9.21 aA9.05 aB8.49 C
PM558.22 bC9.24 aA9.00 bA8.51 B
Yeasts
(log10 cfu/g FM)
P1005.46 aC5.65 aB5.69 aA4.78 aD0.013<0.01<0.01<0.01
PM735.02 bA4.70 bB4.69 bB4.77 aB
PM554.95 cA4.60 cB4.26 cC2.39 bD
Molds
(log10 cfu/g FM)
P100<2.00<2.00<2.00<2.00-----
PM73<2.00<2.00<2.00<2.00
PM55<2.00<2.00<2.00<2.00
D, ensiling days; T, treatments; D × T, the interaction of ensiling days and treatments; DM, dry matter; P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1. Different capital letters (A–D) in the same row indicate significant differences between different days of the same treatment at p < 0.05; different lowercase letters (a–c) in the same column indicate significant differences between different treatments on the same day at p < 0.05.
Table 6. Alpha diversity of the bacterial community for hybrid Pennisetum and mulberry leaves silages.
Table 6. Alpha diversity of the bacterial community for hybrid Pennisetum and mulberry leaves silages.
GroupSobsShannonSimpsonChaoAceGoods_Coverage
P100_3d311.003.620.85381.94390.620.9992
PM73_3d270.003.210.79347.86353.470.9991
PM55_3d251.003.230.79318.48314.610.9993
P100_7d340.673.840.88398.86395.820.9992
PM73_7d281.673.340.81349.45351.210.9992
PM55_7d247.673.370.83319.03315.840.9992
P100_14d282.333.640.87336.38342.680.9993
PM73_14d262.003.440.84311.24314.290.9994
PM55_14d274.003.470.85317.89322.270.9993
P100_30d272.333.510.85311.91306.310.9995
PM73_30d322.003.480.83358.63363.330.9994
PM55_30d263.333.510.85298.34298.250.9995
P100, 100% hybrid Pennisetum silage; PM73, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 7:3; PM55, hybrid Pennisetum and mulberry leaves mix-silage in a ratio of 1:1; 3d, 3 days of ensiling; 7d, 7 days of ensiling; 14d, 14 days of ensiling; 30d, 30 days of ensiling.
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Chi, Z.; Deng, M.; Tian, H.; Liu, D.; Li, Y.; Liu, G.; Sun, B.; Guo, Y. Effects of Mulberry Leaves and Pennisetum Hybrid Mix-Silage on Fermentation Parameters and Bacterial Community. Fermentation 2022, 8, 197. https://doi.org/10.3390/fermentation8050197

AMA Style

Chi Z, Deng M, Tian H, Liu D, Li Y, Liu G, Sun B, Guo Y. Effects of Mulberry Leaves and Pennisetum Hybrid Mix-Silage on Fermentation Parameters and Bacterial Community. Fermentation. 2022; 8(5):197. https://doi.org/10.3390/fermentation8050197

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Chi, Zhou, Ming Deng, Hanchen Tian, Dewu Liu, Yaokun Li, Guangbin Liu, Baoli Sun, and Yongqing Guo. 2022. "Effects of Mulberry Leaves and Pennisetum Hybrid Mix-Silage on Fermentation Parameters and Bacterial Community" Fermentation 8, no. 5: 197. https://doi.org/10.3390/fermentation8050197

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