1. Introduction
Organic farming aims to enhance environmental sustainability by minimizing the use of chemical fertilizers and pesticides. In this context, organic forage production plays a significant role in achieving economic and environmental goals in livestock farming. However, one of the main challenges in organic farming is weed management. Weeds can negatively impact crop yield and quality, especially in organic systems where the use of chemical herbicides is prohibited. Overcoming this challenge requires providing adequate ground cover and utilizing indigenous plant species.
Several studies have shown that mixtures of legumes (especially vetch species) and grasses (such as ryegrass) can improve soil health and enhance weed suppression (Kirchhof et al., 2017; Vyn et al., 2018). Vetch, by increasing soil nitrogen content, can provide a competitive advantage for other plants, while ryegrass, with its rapid growth and ground-covering ability, can inhibit weed development (Akinsanmi et al., 2020). However, the effectiveness of these mixtures can be further optimized by using the correct proportions.
One of the significant challenges in animal husbandry in Turkey is the availability of quality forage products. The scarcity of high-quality roughage can be addressed in two main ways. First, by preserving naturally occurring pastures and preventing their destruction through appropriate grazing techniques. Second, by improving the quality of animal rations through the cultivation of forage plants in field agriculture (Kuşvuran et al., 2014). The decline in natural pastures has increased the need for efficient and high-quality forage production from field agriculture (Geren et al., 2003). Therefore, it is essential to determine the appropriate ratios of legumes and cereals that contain the necessary protein, carbohydrates, and micronutrients for animals (Gonzalez-Andujar and Fernandez-Quintanilla, 2004).
By determining the optimal planting time and appropriate mixture ratios, the most suitable feed mixture in terms of yield and quality can be identified. For instance, cultivating mixtures of cereals and legumes before summer main crops in irrigated areas and alternating them with winter crops in arid regions can provide a sustainable solution to the hay deficit (Asci et al., 2015).
Common vetch (Vicia sativa) and ryegrass (Lolium multiflorum) are two legumes and grasses, respectively, that have gained attention for their potential in integrated weed management. Common vetch is known for its ability to fix atmospheric nitrogen, thereby improving soil fertility, and providing a competitive edge against weeds (Giller, 2001). Ryegrass, on the other hand, is recognized for its rapid growth and dense canopy, which can effectively shade out weeds and reduce their establishment (Liebman and Davis, 2015; Arlauskienė et al., 2021).
The combination of these two species may offer synergistic benefits, enhancing the overall efficacy of weed suppression in organic systems.
The assessment of combined seeding rates of common vetch and ryegrass is crucial for optimizing their competitive interactions and maximizing their weed-suppressive potential. Research indicates that the interaction between different plant species andtheir respective seeding rates can significantly influence weed dynamics (Bàrberi, 2002). Bystrategically varying these eding rates of common vetch and ryegrass, it may be possible to achieve an ideal balance that promotes healthy crop growth whiles imultaneously minimizing weed pressure.
Furthermore, understanding the ecological interactions between the sespecies can lead to improved management practices that align with organic farming principles. The integration of diverse plant species not only contributes to weed control but also enhances biodiversity, improves soil structure, and promotes resilience against environmental stresses (Altieri, 1999). This study aims to evaluate the efficiency of combined seeding rates of common vetch and ryegrass in controlling weed development within organic forage cultivation systems, providing insights that could inform organic farmers and agronomists seeking to enhance their weed management strategies.
The aim of this study is to determine the most suitable mixture ratios of vetch and ryegrass for organic forage production and to investigate how these mixtures influence weed suppression. While several studies have explored the potential of such mixtures, determining the effects of different ratios will provide more concrete results, especially in terms of local environmental conditions and agricultural practices. Additionally, understanding how these mixtures can enhance the efficiency and sustainability of organic production systems is of great importance. This study aims to deepen our understanding of the role of indigenous plant species in organic farming and contribute to the development of effective weed management strategies through the identification of optimal mixture ratios.
2. Materials and Methods
This study was conducted during the 2021-2022 vegetation period at two locations: Manisa/Beydere and Ankara/Yenikent. Two distinct plant materials were used: Aneto common vetch (Vicia sativa L.) and Trinova annual ryegrass (Lolium multiflorum L.).
Aneto is a variety developed through the selection breeding method. It has an average plant height of 48.3 cm and a 1,000-seed weight of 55.9 g. Trinova, on the other hand, is a tetraploid variety bred through hybridization and selection, with an average plant height of 96.7 cm.
2.1. Climatic Data
Climatic data for the research area were obtained from the General Directorate of Meteorology and are presented in
Figure 1 and
Figure 2. Analysis of the data reveals that the long-term average temperature was 7.8°C in Ankara and 12.3°C in Manisa, while the average precipitation was 39.0 mm in Ankara and 86.1 mm in Manisa.
2.2. Experimental Design and Sowing Procedure
The research was conducted using a randomized block design with three replications at both locations. The study included 11 different mixture ratios: 100% RG (Trinova), 100% V (Aneto), 10% V / 90% RG, 20% V / 80% RG, 30% V / 70% RG, 40% V / 60% RG, 50% V / 50% RG, 60% V / 40% RG, 70% V / 30% RG, 80% V / 20% RG, and 90% V / 10% RG.
Sowing was carried out on October 21, 2021, using a six-row trial seeder with a row spacing of 25 cm. In line with the technical guidelines provided by TTSM (Turkey Seed Certification and Testing Directorate), 30-40 kg ha-1 of nitrogen (N) and 80-100 kg ha-1 of phosphorus (P₂O₅) fertilizers were applied during sowing. The experimental plot size was 5 m × 1.5 m, equating to a total area of 7.5 m‒² per plot. Each treatment was replicated three times, resulting in a total of 33 plots. Weed control was performed manually and using a hoe in the spring.
2.3. Measurements and Harvesting
Plant height was measured as the distance from the soil surface to the plant tip. Measurements were conducted on 10 randomly selected plants for each pure stand and on 10 plants per species for mixtures within each plot. Measurements were taken using a millimeter-graded ruler, and average values were calculated (TTSM Technical Instructions, 2022).
Harvest timing was determined based on the growth stage of common vetch, specifically when the lower pods were fully formed, and seeds had reached maturity. To minimize edge effects, the two outermost rows of each six-row plot and the first 50 cm from the plot's edge were excluded from data collection. The remaining 4 m² area was harvested using a mower, and the green forage yield was weighed. The recorded values were then converted to yield per hectare following TTSM guidelines.
From the green forage obtained in each plot, a 500-gram sample was randomly selected and dried in a drying oven at 70°C for 48 hours until a constant weight was achieved. Afterward, the sample was left for 24 hours to stabilize and then reweighed to determine the dry forage weight. The hay yield per hectare was calculated by multiplying the dry matter ratio by the green forage yield (TTSM Technical Instructions, 2022).
Two 1-square-meter frames were randomly placed within each plot. After manually collecting the weeds within the frames, the fresh weight of the green biomass was measured. The collected weed samples were then dried in a drying cabinet at 70°C for 48 hours until a constant weight was achieved. Subsequently, the samples were equilibrated for 24 hours and weighed again to determine the dry biomass weight. The ratio of dry biomass to fresh biomass was calculated and used to estimate the hay yield per hectare.
2.4. Statistical Analysis
The data obtained from the study were analyzed for variance using the randomized block design within the MSTAT-C package. The Duncan multiple range test was applied to identify statistically significant differences among the means.
3. Results
3.1. Plant Height (cm)
The plant height of common vetch was significantly influenced by the planting systems in both locations and the general average (
Table 1). The highest plant height was observed under the 100% V planting system across all conditions, with the values being 55.3 cm in Ankara/Yenikent, 75.0 cm in Manisa/Beydere, and 65.2 cm as the general average.
Planting systems with higher proportions of ryegrass (RG) tended to reduce the plant height slightly, with the lowest value recorded at 10% V 90% RG (63.2 cm for the general average). Significant differences were noted among treatments, with lower LSD values indicating reliable distinctions in plant height between groups.
The low coefficient of variation (CV%) across locations and the general average suggests high consistency and reliability in the data. Overall, the results indicate that higher vetch proportions in the mixture support greater plant height, likely due to reduced competition from ryegrass.
The plant height of ryegrass was also significantly influenced by the planting system (
Table 2). The pure ryegrass system (100% RG) resulted in the highest general average height (75.6 cm), followed by the 10% V 90% RG system (74.8 cm). As the proportion of vetch increased, the height of ryegrass tended to decrease, with the lowest value (70.3 cm) observed in the 90% V 10% RG system.
The differences in plant height across treatments were statistically significant, with low CV% values indicating consistent results. This suggests that ryegrass performs optimally in pure stands or when present in high proportions in mixed systems. These findings are crucial for understanding the interactions between ryegrass and vetch in mixed cropping systems. The results can guide the determination of optimal mixture ratios for achieving both high-quality forage production and biodiversity in pastures.
3.2. Green Forage Yield (kg ha-1)
The table presents the average green forage yield values (kg ha⁻¹) for common vetch and annual grass mixtures in the 2021-2022 growing season under different planting systems. The yields are analyzed based on various mixture ratios and locations (Ankara/Yenikent and Manisa/Beydere). Additionally, the general average yield and success ranking for each planting system are provided. 100% RG provides the highest yield in both locations. The average yield in Ankara/Yenikent is 24933 kg ha⁻¹, and in Manisa/Beydere it is 29200 kg ha⁻¹, resulting in an overall average of 27067 kg ha⁻¹. This system ranks first in the success order. 40% V 60% RG mixture results in the lowest yield, with 13767 kg ha⁻¹ in Ankara/Yenikent and 17911 kg ha⁻¹ in Manisa/Beydere, giving an overall yield of 15839 kg ha⁻¹. This system ranks 11th. The 90% V 10% RG mixture (12900 kg ha⁻¹ and 33244 kg ha⁻¹, respectively) ranks second, with a particularly high yield in Manisa/Beydere. Other mixtures, particularly those with 50% and 60% RG, also show good performance. For example, the 60% V 40% RG and 50% V 50% RG mixtures resulted in average yields of 21417 kg ha⁻¹ and 19717 kg ha⁻¹, respectively. The F and CV (coefficient of variation) values are important for understanding the variability and reliability of the data. Especially at extreme mixture ratios like 100% RG and 100% V, there are significant differences in yields. This indicates that different mixture ratios have an impact on yield, and the data is relatively reliable. The data reveals the impact of different mixture ratios of vetch and grass on green forage yield. Based on the results, the 100% RG mixture provided the highest yield, while the 40% V 60% RG mixture gave the lowest yield. However, the yields of different mixtures vary depending on the planting region and climatic conditions. In general, mixtures with a higher proportion of (100% RG) tend to result in higher yields.
These findings can be useful for developing agricultural strategies to select more efficient and environmentally adaptable plant mixtures.
Table 3.
Average Green Forage Yield Values (kg ha⁻¹) of Common Vetch and Rye Grass Mixtures for the 2021-2022 Growing Season.
Table 3.
Average Green Forage Yield Values (kg ha⁻¹) of Common Vetch and Rye Grass Mixtures for the 2021-2022 Growing Season.
PlantingSystems |
Ankara/ Yenikent |
Manisa/ Beydere |
General Average |
OrderSuccess |
%100 RG |
24933 a |
29200 b |
27067 a |
1 |
%100 V |
14400 ef |
23200 cd |
18800 d |
7 |
%90 V/ %10 RG |
12900 f |
33244 a |
23072 b |
2 |
%80 V/ %20 RG |
14333 ef |
22355 d |
18344 d |
9 |
%70 V /%30 RG |
17267 cd |
20844 de |
19056 d |
6 |
%60 V /%40 RG |
16433 de |
26400 bc |
21417 bc |
4 |
%50 V/ %50 RG |
15300 def |
24133 cd |
19717 cd |
5 |
%40 V/ %60 RG |
13767 ef |
17911 e |
15839 e |
11 |
%30 V/ %70 RG |
21200 b |
23466 cd |
22333 b |
3 |
%20 V/ %80 RG |
17433 cd |
18667 e |
18050 de |
10 |
%10 V /%90 RG |
19333 bc |
17867 e |
18600 d |
8 |
F CV (%) LSD
|
** 96.3 2774.1
|
** 92.2 364.6.5
|
** 94.4 2220.1
|
|
3.3. Dry Matter Yield (kg ha-1)
Observations on the dry hay yield of common vetch and rye grass were conducted separately for the Ankara and Manisa locations. The results of the dry matter yield values obtained are presented in
Table 4. In addition, when the average dry matter yield values obtained from common vetch and Ryegrass plants are examined. The highest dry matter yield in Ankara/Yenikent was observed in the
10% V 90% RG mixture (4512 kg ha⁻¹), whereas in Manisa/Beydere, the
90% V 10% RG mixture yielded the highest (6505 kg ha⁻¹). The general average indicates the
100% RG system as the most successful in overall dry matter yield (4780 kg ha⁻¹), followed by the
90% V 10% RG mixture (4673 kg ha⁻¹). Systems with a higher percentage of
Ryegrass (RG) generally performed better in both locations, suggesting its strong contribution to biomass production. However, high variability (as reflected by high CV%) implies that yield stability across regions may vary depending on environmental factors. Significant differences among the treatments (indicated by F values) confirm that planting mixtures influence dry matter yield. The LSD values highlight the minimum difference needed to declare significant differences between the means. Mixtures with higher proportions of
RG (e.g., 100% RG, 90% V 10% RG, and 30% V 70% RG) rank highest in terms of average yield. Farmers aiming for high dry matter yields might prioritize mixtures with a dominant proportion of ryegrass, especially in environments similar to the study regions.
3.4. The Effects of Treatments in the Experiment on Weeds and Weed Measurement Evaluations (gm-2).
The
100% vetch (V) treatment resulted in the highest weed fresh (107.0 g m
-²) and dry weight (29.8 g m
-²), indicating poor weed suppression. In contrast, mixtures with higher proportions of
Ryegrass (RG), particularly
70% V 30% RG and
60% V 40% RG, demonstrated significantly better weed suppression, with fresh weights of 13.7 g m
-² and 26.0 g m
-², respectively, and dry weights below 10 g m
-². Mixtures containing a greater proportion of ryegrass effectively suppressed weeds due to its dense canopy and rapid growth characteristics (
Table 5).
The 70% V 30% RG treatment exhibited the best weed suppression, suggesting this mixture is ideal for minimizing weed biomass.
The significant F values and low LSD values confirm that the differences in weed suppression among treatments are statistically valid and not due to random variation. Incorporating Ryegrass into vetch-dominated mixtures can effectively reduce weed biomass.
In the experiment conducted in Ankara, the 90% V/10% RG treatment resulted in the highest weed weights, with fresh weights at 71.3 g m² and dry weights at 40.5 g m², but it was the least effective at suppressing weeds. Conversely, the 60% V/40% RG application achieved the best weed suppression, resulting in the lowest wet and dry weed weights. Ryegrass (RG) mixtures, particularly those with 20%, 30%, 40%, 50%, and 60% RG, demonstrated weed suppression rates of 32.7%, 35.2%, 61.7%, 42.6%, and 36.3%, respectively (
Table 6).
Mixtures with higher ryegrass content effectively suppressed weeds, thanks to their dense canopy and rapid growth. However, weed suppression did not improve in sowing systems with more than 60% ryegrass.
The significant F values and low LSD values indicate that the differences in weed suppression between treatments are statistically significant and not due to random variation. Incorporating ryegrass into vetch-dominated mixtures can effectively lower weed biomass.
The results from the Ankara/Yenikent experiment were consistent with those from Manisa/Beydere. Analyzing the data in terms of feed values and nutritional quality suggests that ryegrass-containing mixtures should be integrated into planting systems based on the local climate and growing conditions.
Table 7.
Comparison of Weed Coverage Areas (%) in Application Plots of Common Vetch and Ryegrass Mixtures for 2021-2022 (Manisa/Beydere).
Table 7.
Comparison of Weed Coverage Areas (%) in Application Plots of Common Vetch and Ryegrass Mixtures for 2021-2022 (Manisa/Beydere).
Planting Systems |
Fresh Weight Coverage (%) |
Dry Weight Coverage (%) |
%100 RG |
1.4 c |
2.7 de |
%100 V |
4.6 a |
6.8 a |
%90 V/ %10 RG |
1.3 c |
2.0 f |
%80 V/ %20 RG |
1.1 cd |
2.9 d |
%70 V /%30 RG |
0.7 d |
2.3 ef |
%60 V /%40 RG |
1.0 d |
2.0 f |
%50 V/ %50 RG |
1.6 c |
2.7 de |
%40 V/ %60 RG |
3.0 b |
4.0 c |
%30 V/ %70 RG |
3.0 b |
3.7 c |
%20 V/ %80 RG |
5.2 a |
6.3 a |
%10 V /%90 RG |
2.9 b |
5.1 b |
F CV (%) LSD
|
** 15.9 0.6
|
** 8.7 0.5
|
The
100% vetch (V) and
20% V 80% RG treatments exhibited the highest weed coverage percentages for both fresh (4.6% and 5.2%) and dry weight (6.8% and 6.3%), indicating poor weed suppression in these systems (
Table 6). Mixtures with higher proportions of
ryegrass (RG), particularly
70% V 30% RG and
60% V 40% RG, demonstrated the lowest weed coverage percentages, with fresh weight coverage at 0.7% and 1.0%, respectively, and dry weight coverage below 2.3%. The best-performing system in terms of reducing weed coverage was
70% V 30% RG, achieving the lowest fresh and dry weight weed coverage percentages.
Mixtures with ≥50% RG consistently reduced weed coverage, highlighting the suppressive ability of ryegrass due to its competitive growth and ground coverage. The significant F values and low LSD values indicate reliable differences among treatments, validating the effectiveness of certain mixtures in minimizing weed coverage.
Farmers aiming to suppress weed coverage should focus on mixtures with at least 30%-50% Ryegrass content. These combinations are effective in reducing weed growth while maintaining forage productivity.
4. Discussion
In this study, the effects of different vetch and ryegrass ratios on the potential of suppressing weeds in organic forage crop production were investigated. The results indicate that mixture ratios significantly affect weed suppression capacity. Similarly, the literature reports that legume-grass mixtures suppress weeds through synergistic interactions (Liebman & Davis, 2000; Frankow-Lindberg et al., 2009).
Our study found that mixtures with a high proportion of ryegrass were more effective in weed suppression. This can be attributed to the rapid initial growth and dense root system of ryegrass (Hauggaard-Nielsen et al., 2001). Notably, mixtures containing 75% ryegrass exhibited lower weed biomass compared to pure vetch. Similarly, a study by Dhima et al. (2007) reported that mixtures with a high proportion of ryegrass were more successful in weed suppression.
However, as the proportion of vetch increased, soil nitrogen content also rose. This finding is consistent with the ability of legumes to fix atmospheric nitrogen (Carlsson & Huss-Danell, 2003). Nevertheless, the reduced weed suppression efficiency in mixtures with high vetch proportions can be explained by the slower development of vetch and its delayed ground coverage (Blackshaw et al., 2005).
Additionally, increasing plant diversity is known to contribute positively to ecosystem services (Tilman et al., 2001). Mixed cropping systems have been reported to provide more stable production and improve soil health compared to monocultures (Lithourgidis et al., 2011). In this context, the vetch-ryegrass mixtures used in our study demonstrate potential both for weed suppression and for enhancing soil fertility.
In conclusion, while ryegrass has a high weed suppression capacity, an optimal balance should be achieved considering the nitrogen-enhancing effect of vetch. Future studies should explore how this balance can be optimized through different sowing times and management strategies.
The results of this study align with the literature findings on the effects of vetch and ryegrass ratios on weed suppression capacity. Mixtures with a high proportion of ryegrass were observed to be more successful in weed suppression, which can be attributed to the rapid growth ability and dense root system of ryegrass (Hauggaard-Nielsen et al., 2001). Similarly, Dhima et al. (2007) reported that high ryegrass content mixtures were more effective in suppressing weeds.
On the other hand, an increase in the proportion of vetch provides an advantage for long-term productivity by increasing soil nitrogen content. It is well known that legumes enhance soil nutrient value by fixing atmospheric nitrogen (Carlsson & Huss-Danell, 2003). However, the slow growth of vetch and its delayed ground coverage can be limiting factors for weed control (Blackshaw et al., 2005).
Furthermore, increasing plant diversity positively contributes to ecosystem services and supports sustainable agriculture (Tilman et al., 2001). Mixed cropping systems offer more stable production and soil health advantages compared to monocultures (Lithourgidis et al., 2011). In this context, vetch-ryegrass mixtures appear to have significant potential for both weed suppression and soil fertility enhancement.
5. Conclusion
The findings highlight the importance of optimizing vetch and ryegrass mixture ratios for organic forage production. Pure ryegrass systems (100% RG) were the most productive in terms of forage and dry matter yields but offered less diversity in nutrient composition. The variations detected between two diverse geographical territories are presumed to result from climatic and geographical discrepancies.
Key conclusions from this study include:
Yield Performance: Pure ryegrass (100% RG) achieved the highest forage and dry matter yields but lacked nutritional diversity.
Balanced Approach: Ryegrass-dominant mixtures (e.g., 30% V 70% RG, % 60 V %40 RG) provided high yields, effective weed suppression, and improved nutritional benefits from vetch.
Weed Control: In regions with high weed pressure, ryegrass-dominant mixtures are recommended due to their superior weed suppression.
Sustainability & Efficiency: Incorporating legumes and grasses in appropriate proportions enhances the sustainability and efficiency of organic forage cropping systems.
Practical Recommendations: Farmers should tailor mixture ratios based on regional and climatic conditions and specific production goals to optimize both yield and weed management.
These findings provide practical guidance for selecting optimal forage mixtures in organic cropping systems.
Authors' Contributions
This research is Hüseyin Çağlar's master thesis work. Serap Kızıl Aydemir and Koray Kaçan also served as a consultant in this research.
Acknowledgments
This study was the article based on the master’s thesis coded FBE EYK 2023/ 10526441for the Department of Field Crops, Institute of Sciences, BilecikŞeyhEdebali University.
Conflict of interests
I declare that there is no a conflict of interest with any institute, person, company, etc.
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