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Article

Optimizing Silage Efficiency: The Role of Ryegrass Varieties, Harvest Time, and Additives in Enhancing Perennial Ryegrass (Lolium perenne) Fermentation

1
Bioprocess Engineering and Downstream Processing, University of Applied Sciences Aachen, 52428 Jülich, Germany
2
Julius Kühn-Institute (JKI), Federal Research Centre for Cultivated Plants, 38104 Braunschweig, Germany
*
Author to whom correspondence should be addressed.
Fermentation 2025, 11(4), 192; https://doi.org/10.3390/fermentation11040192
Submission received: 6 March 2025 / Revised: 25 March 2025 / Accepted: 2 April 2025 / Published: 4 April 2025

Abstract

The increasing demand for bio-based chemicals and sustainable materials has placed biomass-derived lactic acid in the spotlight as a key building block for biodegradable polylactic acid (PLA). Perennial ryegrass (Lolium perenne) is a promising feedstock due to its high dry matter (DM) yield, adaptability, and widespread agricultural use. This study investigates an integrated lactic acid–silage cascade process, focusing on how pH regulation, harvest timing, and biomass characteristics influence lactic acid production while maintaining agronomic efficiency. The results highlighted the crucial role of pH management and silage duration in optimizing lactic acid production. A silage period of 21 days was found to be optimal, as peak lactic acid yields were consistently observed at this stage. Maintaining a pH range of 4.5 to 6 proved essential for stabilizing fermentation, with citrate buffering at pH 6 leading to the highest lactic acid yields and minimizing undesirable by-products. Harvest timing also significantly affected lactic acid yield per hectare. While later harvesting increased total DM yield, it led to a decline in lactic acid concentration per kg DM. Tetraploid ryegrass (Explosion) maintained stable lactic acid yields due to higher biomass accumulation, whereas diploid varieties (Honroso) experienced a net reduction. From an agronomic perspective, optimizing harvest timing and variety selection is key to balancing biomass yield and fermentation efficiency. While tetraploid varieties offer greater flexibility, diploid varieties require precise harvest timing to avoid losses. These findings contribute to sustainable forage management, improving lactic acid production, silage efficiency, and agricultural resource use.

1. Introduction

With increasing global awareness of environmental sustainability and the urgent need to mitigate climate change, many countries and regions have established carbon neutrality targets [1]. Renewable organic materials, such as biomass, have attracted attention for their potential to sustainably produce chemicals, fuels, and materials, providing significant economic, environmental, and social benefits [2]. Perennial ryegrass (Lolium perenne) is an attractive biomass source due to its adaptability, high yield, and widespread availability. Traditionally, ryegrass has been widely used as animal feed in agriculture [3]. However, with declining livestock numbers in some regions in Germany, its role as a key silage crop is evolving. Beyond its importance in forage production, Lolium perenne presents new economic opportunities in the bioeconomy, such as biofuel production and biorefinery applications. This aligns with the findings of Conaghan et al., who identified Lolium perenne as an excellent choice for silage due to its high dry matter yield and water-soluble carbohydrate (WSC) content, which contribute to effective fermentation and preservation [4].
Lactic acid, a vital organic acid, is widely used in the chemical, pharmaceutical, and food processing industries. The growing demand for biodegradable polylactic acid (PLA) plastics has amplified the importance of lactic acid as a key raw material. By 2025, the lactic acid market is projected to reach 1.96 megatons, with 90–95% of production originating from biomass fermentation [5,6,7].
Silage is an effective method for preserving animal feed and could be used to produce lactic acid. The core principle of silage is anaerobic fermentation, in which lactic acid bacteria (LAB) convert biomass sugars into lactic acid. This process lowers the pH, inhibits the growth of undesirable microorganisms, and ensures long-term preservation of the biomass [4]. pH fluctuations during silage fermentation can greatly affect the final outcome. However, excessively low pH can inhibit LAB activity and reduce lactic acid production [8,9]. Buffering salts are commonly used for pH regulation, with recent studies exploring their role in liquid biomass fermentation to enhance lactic acid production. Hetényi et al. (2011) [10] improved lactic acid yields in sweet sorghum juice fermentation using five pH regulators, including calcium carbonate. Likewise, Bujňák et al. (2011) [11] and Grant et al. (1992) [12] found that phosphate-based buffering systems enhanced lactic acid production. However, their application in silage for lactic acid production remains largely unexplored, highlighting a technical gap.
Recent studies have also focused on optimizing lactic acid yield per unit of biomass by manipulating factors such as crop selection, environmental conditions, and silage additives. High concentrations of WSC in silage materials, such as Lolium perenne, significantly enhance LAB activity and fermentation quality [13]. Similarly, additives like L-tryptophan improve lactic acid production, fermentation quality, and microbial balance by increasing LAB populations and suppressing undesirable microbes [14]. Environmental factors, including harvest timing and nitrogen management, also affect WSC content and overall fermentation outcomes [15]. In conclusion, advances in silage research, such as the development of high-sugar grass cultivars and novel additives, have introduced valuable strategies to enhance lactic acid yields and feed quality.
This study investigates the efficient ensiling of perennial ryegrass (Lolium perenne) for a dedicated production of enantiomerically pure lactate. To bridge the research gap in pH regulation for improving lactic acid yield in silage, this study examines the interactions among ensiling duration, pH, buffer selection, and raw material characteristics. Different Lolium perenne varieties were analyzed to identify the best candidates for silage and lactic acid production. During the silage process, concentrations of lactic acid, acetic acid, butyric acid, and ethanol were monitored to identify the optimal silage duration and minimize lactic acid loss due to degradation. Different buffering salts and neutralizing agents were incorporated into the silage process to identify the pH conditions that maximize lactic acid yield and to compare their effects on silage performance. Finally, the optimized silage conditions were applied to evaluate and compare the outcomes of silage from different Lolium perenne varieties, ploidy levels, and harvest times.

2. Materials and Methods

2.1. Raw Material

A field experiment was conducted at the Julius Kühn Institute in Braunschweig, Germany. The experimental site is located at an altitude of 80 m above sea level, with an annual precipitation of 617 mm and an average temperature of 9.1 °C. The soil consists of silty sand with a topsoil depth of approximately 30 cm.
To ensure a reliable supply of fresh biomass, several Lolium perenne varieties with different agronomic characteristics were cultivated in large field plots. Table 1 presents details of the varieties used for silage optimization, while Table 2 lists those analyzed for the impact of harvest timing on silage (Section 3.4). The experiment included two separate harvest dates during each scheduled cut throughout the year to assess how harvest timing affects biomass yield, quality and, consequently, lactic acid production. The first harvest date was set when an early reference variety reached BBCH stage 51 (Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie scale), which marks the beginning of inflorescence emergence, meaning the seed head starts to become visible. The second harvest date coincided with a late-maturing variety reaching BBCH 51. At both time points, all other varieties were harvested simultaneously, and their respective BBCH stages were recorded (see Table 1 and Table 2) [16]. After harvest, the biomass samples were immediately vacuum sealed to preserve their composition and shipped overnight via express delivery for further processing and analysis. Upon arrival at FH Aachen, samples were immediately stored at −21 °C. Before use, they were thawed at room temperature and prepared for experimentation.

2.2. Extraction of Silage Products

The mass content of silage products was measured through sample extraction, followed by HPLC analysis. Approximately 10 g of the grass sample was weighed into the blender container (WMF Kult X Mix & Go, Geislingen an der Steige, Germany)) for silage product extraction. Deionized water was added to the container. The water was added until the total mass of the grass and water reached approximately 50 g. The grass sample was blended for 1 min until it reached a slurry-like consistency. The slurry was then diluted with deionized water to a total mass of approximately 100 g and left to extract for at least 1 h. After extraction, the slurry mixture was vacuum-filtered to separate the solid material [18]. The extract was transferred to 2 mL centrifuge tubes and centrifuged. An Eppendorf 5415 D centrifuge (Eppendorf AG, Hamburg, Germany) was operated at 10,000 RCF for 5 min. Finally, the supernatant was filtered through a 0.2 μm polyethersulfone membrane filter (Wicom Germany GmbH, Heppenheim, Germany).

2.3. Measurement of Water-Soluble Carbohydrates

Water-soluble carbohydrates (WSCs) were measured using Near-Infrared Spectroscopy (NIRS) in this study. The calibration was based on a dataset of 298 grass samples collected between 1991 and 2008 from various forage crop trials and grassland experiments in collaboration with the Julius Kühn Institute (JKI) and the Chamber of Agriculture of Lower Saxony. The model achieved a coefficient of determination (RSQ) of 0.986 and a standard error of calibration (SEC) of 0.62, indicating excellent predictive accuracy. To validate the calibration, independent validation was performed using 57 samples of Lolium perenne, resulting in a standard error of prediction (SEP) of 1.84 and an RSQ of 0.959, confirming the robustness of the model. The ratio of performance to deviation (RPD) was 4.33, which, according to the classification system described by Williams and Sobering (1993) [19], falls into the category of highly accurate and suitable for quantitative analysis. Given these results, the NIRS calibration for WSCs can be recommended for routine use in forage/biomass analysis, providing a robust tool for grassland monitoring.
At least 500 g of fresh samples was collected from each field plot, chopped for dry matter (DM) analysis, and ground. Samples were dried at 60 °C for 48 h in a Memmert oven (Schwabach, Germany) and uniformly milled using a Brabender cutting mill (Anton Paar TorqueTec, Duisburg, Germany). WSC content was then analyzed using a Foss NIRSystems 5000 spectrometer (Foss GmbH, Hamburg, Germany) with a wavelength range of 1100–2498 nm and a 2 nm resolution [19].

2.4. Density of the Extract

The extract liquid, filtered through a 0.2 μm membrane filter, was transferred into a 25 mL pycnometer (Carl Roth GmbH + Co. KG, Karlsruhe, Germany). An XA204DR analytical balance (Mettler-Toledo, Columbus, OH, USA), with a precision of 0.1 mg, was used to weigh the empty pycnometer and the pycnometer filled with the extract liquid. The density of the extract liquid was calculated from the measured weights.

2.5. Measurement of Moisture Content

The dry matter content (DM%) of fresh and ensiled Lolium perenne samples was measured using a DBS 60-3 moisture analyzer (KERN, Balingen-Frommern, Germany), with a precision of 0.001 g. Approximately 1 g of the sample was evenly distributed for weighing. The drying process was conducted at 105 °C and continued until the mass change was less than 0.03% within 30 s. The moisture content (MC%) was recorded and converted to dry matter content (DM%) using Equation (1).
D M % = 100 % M C %

2.6. Calculation of Mass Concentration of Silage Products and Lactic Acid Yield

The concentrations measured by HPLC ( c i ) were expressed in “g/L” and needed to be converted into mass concentration ( w i ) in “g/kg DM” to allow comparison with reference values. Lactic acid yield refers to the mass concentration of lactic acid produced during the silage process. The conversion process is outlined in the following steps.

2.6.1. Dry Mass of the Sample

The dry mass ( m D M ) of the Lolium perenne sample can be calculated (Equation (2)) using the dry matter content (DM%) and the wet mass of the sample ( m w m ):
m D M = m w M   ·   D M %

2.6.2. Mass of Substance in Silage Products

The mass of substance i in silage products ( m i ) can be calculated (Equation (3)) from the concentration obtained through HPLC ( c i ) and the volume of the extract ( V E ):
m i = c i   ·   V E

2.6.3. Volume of the Extract

The volume of the extract ( V E ) can be calculated (Equation (4)) from the extract mass ( m E ) and density ( ρ ). The mass of the extract ( m E ) is the total mass of the slurry mixture ( m Σ ) minus the dry matter content ( m D M ).
V E = m E ρ = m Σ   m D M ρ

2.6.4. Mass Concentration of Silage Products

The mass concentration of the silage product ( w i ) is defined (Equation (5)) as the ratio of the silage product’s mass ( m i ) to the total sample dry mass ( m D M ):
w i = m i m D M

2.7. Preparation of Pressed Juice

A benchtop screw press (8500 S, Luba, Bad Homburg, Germany) was used for the preparation of pressed juice. The grass was initially cut into approximately 10 cm-long pieces before being fed into the press. The pressed juice and press cake were collected separately for further processing. Both the pressed juice and press cake were stored at −18 °C until needed for subsequent use [7].

2.8. pH Measurement of Pressed Juice

Before each measurement, the measuring electrode was sterilized using a Bacillol® disinfectant (Paul Hartmann AG, Heidenheim an der Brenz, Germany) and rinsed with deionized water. The pressed juice was evenly divided into three 1.5 mL Eppendorf tubes and analyzed with a LLG-pH Meter 5 pH meter (LLG-Labware, Meckenheim, Germany).

2.9. Silage Production

Previously stored Lolium perenne grass was thawed at room temperature before being used for silage production to obtain lactic acid. Two different silage methods were applied in this study and are introduced in the following sections.

2.9.1. Silage in Vacuum Bags

For each trial, 50 g of wet mass ( m w m ) of the selected grass was placed into a vacuum bag (Figure 1a). A total of 10 mL of a silage additive (diluted with deionized water 1:500) was added to the bag. The additive contained a blend of the bacterial strains Lactobacillus plantarum, Lactobacillus rhamnosus, and Pediococcus pentosaceus (Lactosan, Kapfenberg, Austria). After adding the silage additive, the contents were briefly mixed and sealed using a vacuum sealer (VMKH-300, GGM-Gastro, Ochtrup, Germany). The sealed bags were placed in airtight plastic buckets (Figure 1b), purged with nitrogen gas to maintain an anaerobic environment, and then sealed. Silage was carried out at room temperature for 75 days. During sampling, designated bags or trials (Figure 1a) were removed from the buckets (Figure 1b), and the buckets were subsequently refilled with nitrogen gas. To maintain the nitrogen atmosphere and anaerobic conditions inside the buckets, nitrogen was replenished every three days [18,20,21].

2.9.2. Ensiling in Bottles

In this experiment, two different sizes of glass bottles (Figure 1c) were used for silage. The first setup utilized a 1 L bottle with 50 g wet mass ( m w m ) of the selected grass, to which 10 mL of a silage additive (diluted with deionized water at 1:500 v/v) was added. The second setup used a 10 L bottle with 500 g wet mass ( m w m ) of the selected grass, and 100 mL of the same silage additive (diluted 1:500 with deionized water) was added. This setup allowed for sampling during the silage process.
The bottle was sealed at the neck using a rubber stopper and cap. To maintain anaerobic conditions, two cannulas of different lengths were inserted through the rubber stopper into the bottle. The longer cannula reached near the bottom of the bottle, enabling nitrogen gas to mix thoroughly with the silage sample and displace oxygen. The shorter cannula vented gas during nitrogen purging to balance internal pressure. Both cannulas were fitted with valves to ensure an airtight seal. After each sampling, nitrogen gas was reintroduced into the bottles to preserve the anaerobic environment. Nitrogen gas was introduced every three days to maintain anaerobic conditions inside the bottle. To prevent fluctuations in ambient laboratory temperature from impacting the experiment, the bottles were kept in an incubator maintained at 37 °C for the 21-day silage process [21,22].

2.10. Analysis of Silage Products

High-pressure liquid chromatography (HPLC) was used to quantify fermentation products in the liquid extract samples, specifically lactic acid, acetic acid, butyric acid, and ethanol. The analysis was performed using a Repromer 300 × 8 mm H+ column (Dr. Maisch GmbH, Ammerbuch, Germany) at 30 °C on an Agilent 1100 Series HPLC system (Agilent Technologies, Santa Clara, CA, USA). The mobile phase comprised 5 mM sulfuric acid in ultrapure water, with a flow rate of 0.6 mL/min. Analyte detection was carried out using an Agilent 1260 Infinity II Refractive Index Detector (Agilent Technologie, USA) maintained at 35 °C. The sample injection volume was 5 µL, with a total chromatographic analysis time of 35 min [7,23,24].

2.11. pH Control and Buffers

To evaluate the effect of pH on silage products, experiments were conducted under controlled pH conditions using buffer solutions or neutralizing agents. Buffer solutions were carefully selected to ensure they were non-toxic and non-harmful to microorganisms, which constrained the available options. Accordingly, three buffering systems were used for pH control in the silage: calcium carbonate, phosphate buffer, and citrate buffer. These agents meet biological safety standards and have shown effective pH stabilization in prior lactic acid fermentation studies [25,26,27].
The pH levels of the buffers were determined based on sample quantities and the equipment volume used in this part of the experiment. Three pH levels were selected: pH 4.5, pH 6, and pH 7. pH 4.5 was chosen due to LAB inhibition below pH 4, while pH 7 reflects the initial pH of fresh silage. pH 6 served as a midpoint to enable comprehensive evaluation of pH effects on silage quality and lactic acid yield.

2.11.1. Silage at pH 7

To maintain a pH of 7, organic acids produced during the silage process were neutralized. Calcium carbonate (Honeywell Specialty Chemicals Seelze GmbH, Seelze, Germany) was selected for this purpose due to its suitability for cultivating Lactobacillus and its cost-effectiveness [25,27]. The pH 7 group was adjusted with 2.3 g of calcium carbonate, which was suspended in 20 mL of deionized water before being added to the silage bottles to ensure uniform distribution.

2.11.2. Silage at pH 4.5 and pH 6 Using Citrate Buffer

The citrate buffer, comprising citric acid and sodium citrate, was chosen as a promising candidate due to its triprotic nature, offering three k a values. This property allows for the preparation of citrate buffers over a wide pH range (pH 3.0 to pH 6.2) [28]. Moreover, research by Zi et al. (2021) demonstrated that citrate buffer addition enhances lactate yield and improves silage quality [26]. Citrate buffers were prepared following the protocol in [28], using citric acid (Honeywell Specialty Chemicals Seelze GmbH, Germany) and sodium citrate dihydrate (Duchefa Biochemie, Haarlem, The Netherlands). The pH 4.5 and pH 6 groups were adjusted using 20 mL of 1 M citrate buffer solution.

2.11.3. Silage at pH 6 Using Phosphate Buffer

Considering the importance of raw material costs in industrial applications, phosphate buffer was evaluated as a potential replacement for citrate buffer due to its lower cost. Phosphate buffers were prepared from disodium hydrogen phosphate (Honeywell Specialty Chemicals Seelze GmbH, Germany) and sodium dihydrogen phosphate (Honeywell Specialty Chemicals Seelze GmbH, Germany). The pH 6 group was adjusted using 20 mL of 1 M phosphate buffer solution.

2.12. Experimental Design and Controls

The study followed an iterative, modular design in which individual parameters were systematically varied while all other conditions were held constant. The study was organized into distinct experimental blocks, each addressing a key variable affecting silage performance and lactic acid production:
  • Silage duration: Six time points (0, 4, 7, 14, 21, and 75 days) were tested under identical conditions using three Lolium perenne varieties.
  • pH regulation: Four groups (control, citrate buffer at pH 4.5 and 6, and calcium carbonate at pH 7) were tested using the same biomass batch (Arvicola) to assess the effect of initial pH on silage.
  • Buffer comparison: Citrate and phosphate buffers at pH 6 were compared in 10 L glass bottles to assess silage dynamics over the full fermentation period.
  • Harvest time and ploidy: Two Lolium perenne varieties (diploid and tetraploid) were harvested at early and late stages to examine genetic and agronomic effects on silage under identical conditions.
Each experimental block included controls without pH regulation, additive supplementation, or harvest timing variation. All treatments were performed in technical duplicates. Analytical blanks (no biomass) and buffer-only controls were included where necessary to rule out background interference in HPLC analysis.

3. Results and Discussion

3.1. Validation of Optimal Silage Duration

As a preliminary study, three Lolium perenne varieties—Honroso, Agaska, and Activa—were selected for silage production. The objective was to evaluate the lactic acid yields of the selected Lolium perenne varieties at varying silage durations and to determine the optimal silage time. The silage process utilized the vacuum bag method described in Section 2.9.1, with a total duration of 75 days. Samples were collected at six time points (0, 4, 7, 14, 21, and 75 days) to analyze lactic acid production and silage pH.
The experimental results showed (Figure 2) that lactic acid concentrations in the three Lolium perenne varieties increased most rapidly during the first 14 days of silage, peaking at 21 days. At 21 days, the lactic acid yield reached 148.4 ± 0.64 g/kg DM for Activa, 128.4 ± 0.28 g/kg DM for Agaska, and 121.0 ± 0.57 g/kg DM for Honroso, which produced the least. When comparing the WSC values of the three Lolium perenne varieties, Activa had the highest WSC content (27.9% DM), followed by Agaska (24.4% DM), while Honroso had the lowest (23.2% DM). This trend aligns with their respective lactic acid yields, further supporting the correlation (p < 0.01) between WSC content and fermentation efficiency. These findings suggest that Lolium perenne varieties with higher WSC concentrations are more suitable for lactic acid fermentation, as they offer increased substrate availability for microbial conversion, ultimately enhancing lactic acid production. After 21 days, a significant decline in lactic acid content was observed. For instance, Activa showed a 24.2% reduction, decreasing to 119.1 ± 0.14 g/kg DM. On average, the lactic acid content across all three samples decreased by 18.8%. The reduction in lactic acid yield between days 21 and 75 was attributed to anaerobic degradation. Heterofermentative lactic acid bacteria (LAB) can convert lactic acid into acetic acid, 1,2-propanediol, and ethanol under acidic conditions [29]. Although homofermentative LAB were exclusively introduced through the silage additive [30,31] the nature of the naturally occurring LAB in the samples before the experiment—whether heterofermentative or homofermentative—remains unknown. Furthermore, even homofermentative LAB have been shown to degrade lactic acid under anaerobic conditions. For instance, Lactobacillus plantarum, used in this experiment, has been shown to convert lactic acid into acetic acid during extended incubation periods (7–30 days) [32]. Other strains, such as Lactobacillus pentosus, also exhibit this capability, and L. rhamnosus and Pediococcus pentosaceus are likely contributors to anaerobic lactic acid degradation [29]. The pH of the three samples reached a minimum of approximately 3.6 by day 14, followed by a slight increase to 3.8 by day 21. Subsequently, the pH remained relatively stable until the silage process concluded on day 75. Based on these findings, subsequent experiments limited the maximum silage duration to 21 days to avoid the adverse effects of lactic acid degradation. Notably, lactic acid was already present in the samples on day 0 of silage, with a pH of approximately 4.5. This showed that the silage process began prior to the start of the experiment. Possible causes include delayed freezing of Lolium perenne samples after harvesting or inadequate temperature control during transportation. However, these issues were effectively resolved and prevented in subsequent experiments using new batches of samples.

3.2. Evaluating the Effect of pH on Silage Quality

Investigations on the effects of different pH values and various buffering solutions or neutralizing agents on lactic acid outcomes was conducted with a larger batch of Lolium perenne variety Arvicola. During the ensiling process, the concentrations of lactic acid, acetic acid, butyric acid, and ethanol in the samples were evaluated. Four silage groups were prepared using the 1 L bottle method described in Section 2.9.2. The experimental groups included pH 4.5, pH 6, pH 7, and a control group without pH adjustment.
The experimental results demonstrate (Figure 3) that citrate buffers at pH 4.5 and pH 6 significantly enhanced lactic acid production in silage compared to the control group without buffer addition. At pH 4.5, the lactic acid yield after 21 days was 186.2 ± 2.2 g/kg DM, a 27.5% increase over the control group’s yield of 143.9 ± 3.1 g/kg DM. At pH 6, the lactic acid yield peaked at 254.4 ± 7.4 g/kg DM, marking a 74% increase over the control group. Conversely, with calcium carbonate as a neutralizing agent to maintain pH 7, the lactic acid yield dropped to the lowest value of 26.3 ± 3.1 g/kg DM. The pH 6 group exhibited the highest acetic acid concentration at 37.5 ± 12.5 g/kg DM, a 710% increase over the control group’s 5.25 ± 0.4 g/kg DM. The pH 7 group produced a significant acetic acid concentration of 23.2 ± 2.3 g/kg DM, whereas both the pH 4.5 and control groups had concentrations below 10 g/kg DM. Ethanol concentrations in the pH 4.5, pH 6, and control groups remained relatively stable at approximately 20 g/kg DM. However, in the pH 7 group, ethanol concentration was 50% higher than in the other groups, reaching 31.3 ± 1.2 g/kg DM. Notably, butyric acid was detected exclusively in the pH 7 samples and was absent in all other groups. The distinct odor of the pH 7 samples further confirmed the presence of undesirable fermentation by-products. A relatively low pH during silage likely inhibits the growth of non-lactic acid bacteria, reducing competition for lactic acid bacteria and resulting in higher lactic acid yields and lower levels of undesirable organic acids, such as butyric acid. In contrast, maintaining pH 7 with calcium carbonate created an unsuitable environment for lactic acid bacteria, as their metabolic activity and intracellular pH regulation are disrupted in neutral pH environments, leading to reduced growth and lactic acid production [33]. Moreover, the inhibitory substances produced by some lactic acid bacteria are less stable and lose their effectiveness at neutral or alkaline pH, further exacerbating the suppression of lactic acid bacteria and allowing other undesirable bacteria to proliferate [34]. At pH 4.5, the low pH effectively suppressed competing bacteria growth; however, as the buffer was consumed during silage, the pH dropped further. Once the pH fell below a critical threshold, lactic acid bacteria growth was inhibited, leading to lower lactic acid yields than the pH 6 group. Buffering salts in silage effectively enhance lactic acid production while slightly reducing ethanol concentrations. However, buffer selection is critical for silage outcomes. Extremely low pH values suppress lactic acid bacteria growth and reduce yields, whereas neutral pH or calcium carbonate fails to inhibit non-lactic acid bacteria, resulting in the production of other organic acids and reduced silage quality. Optimal buffering conditions, such as pH 6, balance the support for lactic acid bacteria growth with minimized activity of competing microorganisms.

3.3. Silage Dynamics at pH 6 Using Citrate and Phosphate Buffers

This experiment investigated the effects of pH 6 buffer solutions on silage outcomes, using 1 M citrate and phosphate buffers for silage production in 10 L glass bottles, as described in Section 2.9.2. The silage process lasted 21 days, with samples collected every three days.
The experiment showed (Figure 4) that silage with citrate or phosphate buffers exhibited a rapid increase in lactic acid concentration within the first three days. In citrate-buffered silage, the lactic acid concentration increased by 143 ± 2.4 g/kg DM during this period, 32.4% higher than the 108 ± 1.8 g/kg DM observed in phosphate-buffered silage. Additionally, citrate-buffered silage reached its peak lactic acid yield of 193.9 ± 3.0 g/kg DM on day 18, while phosphate-buffered silage peaked earlier, on day 9, at 128.5 ± 2.0 g/kg DM—a 50.1% lower yield than citrate-buffered silage. This yield was also lower than the 143.9 ± 3.1 g/kg DM observed in a previous experiment without buffer solutions. Notably, both groups in this experiment reached their peak lactic acid levels more quickly than vacuum bag silage. However, the peak lactic acid yield in the citrate-buffered group was lower than that in the earlier experiment using 1 L bottles. This could be attributed to sampling disrupting the anaerobic environment in the bottles, which adversely affected lactic acid bacteria activity. Additionally, the larger 10 L bottles may have been less effective at displacing oxygen during nitrogen purging, and sampling likely removed portions of the silage additive and buffer solution, impacting subsequent samples.
Citrate-buffered silage showed significantly lower ethanol concentrations, peaking at 10.2 ± 0.2 g/kg DM on day 9, compared to 25.5 ± 0.4 g/kg DM for phosphate-buffered silage on day 12. However, the acetic acid concentration in citrate-buffered silage was relatively high, reaching 31.9 ± 0.5 g/kg DM on day 9, yet was lower than the 37.5 ± 12.5 g/kg DM in the previous experiment with 1 L bottles. Butyric acid was undetected in either group throughout the 21-day silage period.
The findings suggest that citrate buffers can accelerate lactic acid production during silage. Citrate buffer at pH 6 demonstrated a positive effect on silage quality by enhancing lactic acid production and reducing ethanol concentration. In contrast, phosphate buffer had a significant negative impact on silage outcomes. While it accelerated the time to peak lactic acid concentration, the peak lactic acid yield was significantly lower than in the control group without buffers. Thus, phosphate buffer is unsuitable for silage applications.

3.4. Impact of Lolium perenne Varieties and Harvest Time on Silage Quality

To evaluate the effects of Lolium perenne harvest times on silage outcomes, two varieties, Honroso and Explosion, harvested in 2022 from the Julius Kühn Institute, were selected (Table 3). Samples from these varieties were subjected to silage under two harvest timings in their main growing period: early cut and late cut, with a 14-day interval between harvests.
Comparison of the experimental results (Table 4) shows that early-cut samples consistently produced higher lactic acid yields after ensiling. In both Honroso and Explosion, early harvesting resulted in significantly greater lactic acid production, with relative increases of 40.6% and 18%, respectively, compared to the late-cut samples.
Notably, measurements of WSCs indicated that earlier harvests, regardless of variety, consistently exhibited higher WSC content. During the early harvest, WSC levels reached 26.4% DM in Explosion and 23.5% DM in Honroso. In contrast, a 14-day harvest delay led to a decline to 23.2% and 21.6% DM, respectively, corresponding to an average reduction of 10.1%. It is noteworthy that Explosion is a tetraploid variety, whereas Honroso is diploid. Previous studies by Gilliland et al. (2002) and Smith et al. (2001) have similarly reported that tetraploid Lolium perenne varieties generally exhibit higher WSC levels [35,36]. Moreover, across both harvest times, the tetraploid variety consistently maintained a 10.0% higher WSC content than the diploid variety, directly contributing to its superior lactic acid yield after ensiling. In the early harvest, the tetraploid variety exhibited a 15.3% higher lactic acid yield than the diploid variety. This gap widened further in the late harvest, reaching 37.3%. The higher WSC content is evidently beneficial for lactic acid production during silage, highlighting the inherent advantage of tetraploid Lolium perenne varieties in achieving superior fermentation efficiency and silage quality.
These findings confirm that earlier harvesting promotes better fermentation conditions, primarily due to higher WSC availability, while tetraploid varieties outperform diploid ones in terms of fermentation efficiency and silage quality.

3.5. Evaluation of Field Yield and Harvest Timing Effects on Lactic Acid Production in Different Lolium perenne Varieties

In practical agricultural production, evaluating and comparing actual yields are essential for scaling up production and assessing economic feasibility. This section analyzes the two Lolium perenne varieties examined in previous sections, integrating real-field yield data and assessing the impact of harvest timing on final lactic acid production.
A comparative analysis of dry matter (DM) yield showed that both varieties benefited from later harvesting, but to different extents (Table 5). The diploid variety (Honroso) exhibited a DM yield increase of 1.1 t/ha, corresponding to a 33.3% gain compared to the earlier harvest. The tetraploid variety (Explosion) also showed an increase, but by a smaller margin of 0.7 t/ha, equivalent to 17.1%. Despite these improvements, Explosion maintained a higher total DM yield than Honroso, reinforcing the inherent advantage of tetraploid varieties in biomass production.
When examining lactic acid yield per hectare, a more complex trend emerged. In Explosion, lactic acid concentration per kg DM declined by 15.4% after the harvest was postponed. However, due to the increase in total DM yield, total lactic acid yield per hectare rose slightly to 9 kg DM/hectare, reflecting a 1.3% improvement. This suggests that Explosion’s higher biomass production compensated for the decline in lactic acid concentration, maintaining a stable overall lactic acid yield per hectare. In contrast, Honroso exhibited a different response to delayed harvesting. Although DM yield increased, lactic acid concentration per kg DM decreased by 28.9%, resulting in a 27 kg/ha reduction in total lactic acid yield per hectare, equivalent to a 5.4% decline. This indicates that, unlike Explosion, the increase in DM yield could not offset the reduction in lactic acid concentration, leading to an overall decrease in lactic acid production.
These findings indicate that even when considering actual field yield, tetraploid Lolium perenne varieties maintain a distinct advantage over diploid varieties in terms of total lactic acid production per hectare. Furthermore, the increase in harvested dry matter per hectare due to delayed harvesting plays a crucial role in determining the final lactic acid yield. While the increase in field yield among tetraploid varieties resulted in only a marginal improvement in lactic acid production, the yield reduction in diploid varieties was more pronounced. Furthermore, research shows that while delayed harvests increase dry matter yield, they tend to reduce WSC content in Lolium perenne. The extent of WSC reduction varies by variety and ploidy, reflecting the complex interaction between genetics and harvest timing [15,37]. Therefore, in practical agricultural production, optimizing harvest timing should be carefully balanced with overall production planning and cost efficiency to maximize both economic and environmental benefits.

4. Conclusions

This study demonstrates that both the choice of Lolium perenne variety and harvest timing significantly influence lactic acid yield and silage quality. A silage duration of 21 days was identified as optimal across all tested varieties, achieving maximum lactic acid production while minimizing undesirable by-products such as ethanol and butyric acid. Citrate buffering at pH 6 further enhanced lactic acid yields and fermentation stability. Importantly, this work highlights the differential response of diploid and tetraploid varieties to delayed harvest. While tetraploid varieties such as Explosion compensated for lower lactic acid concentrations through higher biomass production, diploid varieties like Honroso exhibited a net reduction in lactic acid yield per hectare. These findings underline the necessity for variety-specific harvest strategies to balance biomass accumulation and fermentation efficiency.
From a practical and agronomic perspective, this research provides a framework for optimizing ryegrass-based silage systems, contributing to improved resource use efficiency and economic viability. Moreover, the study addresses a critical research gap by systematically investigating the interaction between genotype (ploidy level), harvest timing, and pH regulation on lactic acid fermentation—an area that has previously received limited attention in silage research.

Author Contributions

Conceptualization, T.G. and N.T.; methodology, T.G., T.N. and N.T.; validation, T.G., T.N. and N.T.; formal analysis, T.G.; investigation, T.G. and T.N.; data curation, T.G.; writing—original draft preparation, T.G., K.K. and N.T.; writing—review and editing, T.G., K.K. and N.T.; visualization, T.G.; supervision, N.T.; project administration, K.K. and N.T.; funding acquisition, K.K. and N.T. All authors have read and agreed to the published version of the manuscript.

Funding

The work was financially supported by the German Federal Ministry of Food and Agriculture and the Agency for Renewable Resources (BMEL/FNR) through the grant number 220NR026A/B/C.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

This article was prepared with the support of AI-based software for translation and language enhancement in English.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Different silage methods in the laboratory: (a) Silage using vacuum bags, (b) vacuum bags placed in nitrogen-filled buckets to maintain an anaerobic environment, and (c) silage using glass bottles.
Figure 1. Different silage methods in the laboratory: (a) Silage using vacuum bags, (b) vacuum bags placed in nitrogen-filled buckets to maintain an anaerobic environment, and (c) silage using glass bottles.
Fermentation 11 00192 g001
Figure 2. Lactic acid yield and pH of Lolium perenne varieties Activa, Agaska, and Honroso over 75 days at room temperature. Error bars indicate standard deviations from the mean (n = 2).
Figure 2. Lactic acid yield and pH of Lolium perenne varieties Activa, Agaska, and Honroso over 75 days at room temperature. Error bars indicate standard deviations from the mean (n = 2).
Fermentation 11 00192 g002
Figure 3. Quantification of lactic acid, acetic acid, butyric acid, and ethanol in Lolium perenne (Arvicola) silage after 21 days across different pH levels (4.5, 6, and 7) and the control group. Error bars indicate standard deviations from the mean (n = 2).
Figure 3. Quantification of lactic acid, acetic acid, butyric acid, and ethanol in Lolium perenne (Arvicola) silage after 21 days across different pH levels (4.5, 6, and 7) and the control group. Error bars indicate standard deviations from the mean (n = 2).
Fermentation 11 00192 g003
Figure 4. 21 day silage dynamics at pH 6 using citrate (left) and phosphate buffers (right). Quantification of lactic acid, acetic acid, butyric acid, and ethanol in Lolium perenne (Arvicola) silage. Samples collected every three days. Error bars indicate standard deviations from the mean (n = 2).
Figure 4. 21 day silage dynamics at pH 6 using citrate (left) and phosphate buffers (right). Quantification of lactic acid, acetic acid, butyric acid, and ethanol in Lolium perenne (Arvicola) silage. Samples collected every three days. Error bars indicate standard deviations from the mean (n = 2).
Fermentation 11 00192 g004
Table 1. Lolium perenne varieties used for silage optimization, including ploidy level, breeding company, and harvest time information [17].
Table 1. Lolium perenne varieties used for silage optimization, including ploidy level, breeding company, and harvest time information [17].
VarietyPloidyBreeding Companies
(Country)
BBCHHarvest Time
AgaskaDLF
(Denmark)
5131 May 2021
HonrosoDSV
(Germany)
4531 May 2021
ArvicolaFreudenberger
(Germany)
653 June 2022
ActivaDSV
(Germany)
5531 May 2021
Table 2. Lolium perenne varieties analyzed for the impact of harvest timing on silage, including ploidy level, breeding company, and harvest time information [11].
Table 2. Lolium perenne varieties analyzed for the impact of harvest timing on silage, including ploidy level, breeding company, and harvest time information [11].
VarietyPloidyBreeding Companies
(Country)
BBCHHarvest Time
HonrosoDSV
(Germany)
31Early cut (E)17 May 2022
41Late cut (L)31 May 2022
ExplosionDSV
(Germany)
31Early cut (E)17 May 2022
41Late cut (L)31 May 2022
Table 3. Lolium perenne varieties used in the experiment and their corresponding harvest times.
Table 3. Lolium perenne varieties used in the experiment and their corresponding harvest times.
Harvest TimeHonrosoExplosion
early cutHonrosoEExplosionE
late cut (early cut + 14 Days)HonrosoLExplosionL
Table 4. Impact of Lolium perenne harvest time on silage after 21 days using citrate buffer. Quantification of lactic acid, acetic acid, butyric acid, and ethanol in silage.
Table 4. Impact of Lolium perenne harvest time on silage after 21 days using citrate buffer. Quantification of lactic acid, acetic acid, butyric acid, and ethanol in silage.
SampleDaypHWSCConcentrations of Silage Products
[g/kg DM]
[%DM]Lactic AcidAcetic AcidEthanol
HonrosoE06.0123.5---
214.12n.a. *151.215.84.6
HonrosoL06.0321.6---
214.31n.a. *107.526.64.5
ExplosionE06.0726.410.1--
214.17n.a. *174.429.35.6
ExplosionL06.0223.2---
214.27n.a. *147.633.04.8
Butyric acid was not detected in any of the samples. * n.a.—not analyzed.
Table 5. Field yield and lactic acid production in different Lolium perenne varieties under varying harvest timings. Errors indicate standard deviations from the mean (n = 2).
Table 5. Field yield and lactic acid production in different Lolium perenne varieties under varying harvest timings. Errors indicate standard deviations from the mean (n = 2).
SampleField YieldLactic Acid Yield
[t DM/ha][g/kg DM][kg/ha]
HonrosoE3.33 ± 0.2151. 2503 ± 3
HonrosoL4.43 ± 0.2107.5476 ± 3
ExplosionE4.06 ± 0.5174.4707 ± 8
ExplosionL4.85 ± 0.0147.6716 ± 0
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Guo, T.; Niu, T.; Kuka, K.; Tippkötter, N. Optimizing Silage Efficiency: The Role of Ryegrass Varieties, Harvest Time, and Additives in Enhancing Perennial Ryegrass (Lolium perenne) Fermentation. Fermentation 2025, 11, 192. https://doi.org/10.3390/fermentation11040192

AMA Style

Guo T, Niu T, Kuka K, Tippkötter N. Optimizing Silage Efficiency: The Role of Ryegrass Varieties, Harvest Time, and Additives in Enhancing Perennial Ryegrass (Lolium perenne) Fermentation. Fermentation. 2025; 11(4):192. https://doi.org/10.3390/fermentation11040192

Chicago/Turabian Style

Guo, Tianyi, Tong Niu, Katrin Kuka, and Nils Tippkötter. 2025. "Optimizing Silage Efficiency: The Role of Ryegrass Varieties, Harvest Time, and Additives in Enhancing Perennial Ryegrass (Lolium perenne) Fermentation" Fermentation 11, no. 4: 192. https://doi.org/10.3390/fermentation11040192

APA Style

Guo, T., Niu, T., Kuka, K., & Tippkötter, N. (2025). Optimizing Silage Efficiency: The Role of Ryegrass Varieties, Harvest Time, and Additives in Enhancing Perennial Ryegrass (Lolium perenne) Fermentation. Fermentation, 11(4), 192. https://doi.org/10.3390/fermentation11040192

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