Preprint
Article

This version is not peer-reviewed.

Milk Production and Enteric Methane Emissions in Dairy Cows Grazing Annual Ryegrass Alone or Intercropped with Forage Legumes

Submitted:

22 May 2025

Posted:

23 May 2025

You are already at the latest version

Abstract
This study evaluated the effects of reduced nitrogen fertilization and the intercropping annual ryegrass (Lolium multiflorum Lam.) with forage legumes - common vetch (Vicia sativa L.) and red clover (Trifolium pratense L.) – on milk production and enteric methane emissions in grazing dairy cows. Twelve Holstein × Jersey cows were assigned to a crossover design involving two treatments: ryegrass monoculture (RG) or ryegrass - legume mixture (RG + Leg). Methane emissions were measured using GreenFeed systems; grazing behaviour, milk yield and composition, and organic matter digestibility were also assessed. Legume inclusion contributed ~9% of the pre-grazing biomass and modestly increased crude protein content of the sward. However, cows grazing RG + Leg pastures had lower herbage mass (-214 kg DM/ha), lower herbage allowance (-6 kg DM/cow/day) and produced less milk (-2.0 kg/day; p < 0.05) and milk protein (-88 g/day; p < 0.01) than cows on monoculture ryegrass. Energy-corrected milk (ECM), methane emissions (g/day and g/kg ECM), and grazing behaviour were not significantly affected by treatment. Organic matter digestibility showed a tendency to be higher in the monoculture system (p = 0.067). These results suggest that, under subtropical grazing conditions, reducing nitrogen fertilization combined with the modest inclusion of vetch and red clover does not mitigate enteric methane emissions nor enhance animal performance. The limited legume contribution to total forage biomass may explain the absence of expected benefits. Enhanced strategies to increase legume proportion in mixed swards are needed to unlock their potential for sustainable intensification of pasture-based dairy systems.
Keywords: 
;  ;  ;  ;  ;  ;  ;  

1. Introduction

Pasture-based dairy systems are increasingly recognized for their potential to offer a sustainable model for milk production, particularly when high-quality forages are available [1,2]. In such systems, maximizing forage utilization and quality is essential to support productive and environmentally efficient animals. Annual ryegrass (Lolium multiflorum Lam.) is widely used due to its high nutritive value [3] and productivity [4] in temperate and subtropical regions; however, it still requires significant nitrogen (N) inputs and may present limitations in crude protein (CP) concentration and digestibility, particularly in later growth stages [5,6].
The inclusion of forage legumes such as clovers and vetches in grass swards has been proposed as a strategy to improve herbage nutritive value and reduce environmental burdens [7]. Legumes contribute biological nitrogen fixation, which can reduce fertiliser use, and often exhibit higher protein content and lower fiber fractions [8]. Additionally, certain legumes may reduce enteric methane (CH₄) production by altering rumen fermentation kinetics or through the action of secondary metabolites [9].
Despite these potential advantages, successful incorporation of legumes into intensively managed pastures remains challenging. Factors such as interspecific competition [10], seasonal establishment constraints [11], and grazing pressure often limit legume contribution to sward biomass [12]. Consequently, the expected improvements in animal performance and emissions mitigation may not be realized under practical grazing scenarios.
This study aimed to investigate the effects reducing nitrogen fertilization and intercropping annual ryegrass with common vetch (Vicia sativa L.) and red clover (Trifolium pratense L.) on productive and environmental parameters in pasture-based systems for mid-lactation dairy cows. We hypothesized that the inclusion of legumes would enhance herbage quality, and reduce CH₄ intensity (g/kg ECM), without negatively affecting milk yield.

2. Materials and Methods

All procedures involving animals were approved by the Animal Ethics Committee of the State University of Santa Catarina (protocol number 6051180521).

2.1. Experimental Area and Treatments

The experiment was conducted in Lages, Santa Catarina, Brazil (27°47'S; 50°18'W; 920 m altitude), from September to November 2023. A 4.2-ha experimental area was divided into two subplots (monoculture ryegrass: RG; ryegrass intercropped with legumes: RG + Leg), each subdivided into paddocks for adaptation and data collection.
Treatments involved annual ryegrass (Lolium multiflorum Lam.) either as a monoculture or intercropped with common vetch (Vicia sativa L.) and red clover (Trifolium pratense L.). Ryegrass was sown at 40 kg/ha and legumes at 6 kg/ha. Nitrogen application was 150 kg/ha for RG and 75 kg/ha for RG + Leg. Rotational grazing was employed (four days of occupation), targeting 40–50% defoliation. Twelve mid-lactation Holstein × Jersey cows were assigned to treatments using a crossover design (two 12-day periods: eight for adaptation, four for data collection). Cows were supplemented daily with 4 kg of ground sorghum (849 g DM/kg, 917 g OM/kg DM, 110 g CP/kg DM, 145 g NDF/kg DM and 52 g ADF/kg DM) and 160 g of a mineral mix.

2.2. Pasture Measurements

Pasture height was measured before and after grazing in each period. In the first period, 100 height measurements per paddock were taken using a sward stick, and 200 compressed height readings were taken with a rising plate meter (Farmworks®, model F200, New Zealand). Pre-grazing herbage mass was estimated based on a calibration curve from the plate meter, developed using five sample points where compressed height was recorded and aboveground biomass was harvested from 0.1 m² quadrats. After cutting, the samples were weighed and dried in a forced-air oven at 60°C for 72 hours. Herbage mass (kg DM/ha) for the ryegrass-only and ryegrass-legume treatments was estimated using the following equations:
Equation 1 (monoculture ryegrass):
y= 142 - 340 × pre-grazing compressed height (cm) (R² = 0.83)
Equation 2 (intercropped):
y= 215 - 1008 × pre-grazing compressed height (cm) (R² = 0.89)
In the second period, due to a technical failure of the rising plate meter, pre-grazing forage mass was estimated by destructive sampling, using 20 quadrats (0.24 m² each; 0.8 × 0.3 m) per paddock. Samples were dried under the same conditions previously described for dry matter determination.
The chemical and botanical composition was assessed using samples collected the day before grazing in each period. At least 20 samples per paddock were harvested at ground level with hand shears, within a ~20 cm diameter, forming a composite sample. The samples were frozen at −20°C and, after thawing, split into two subsamples: one for botanical separation and the other cut at the average post-grazing tiller height, with the upper part used for chemical analysis of consumed forage. Post-grazing tiller height was measured on 160 tillers per paddock, using graduated ruler.

2.3. Animal Measurements

Milk yield and composition were evaluated during the last four days of each period. Milk production was recorded at both daily milkings (7am and 3pm) using an electronic meter (Waikato Milking Systems, New Zealand). Milk samples from both milkings were taken for chemical composition analysis.
Methane emissions were measured using two GreenFeed systems (C-Lock Inc., Rapid City, South Dakota, USA). Each animal accessed the system on different days, specifically on days 9 and 11 of each period, ensuring samples were collected every 3 h over 24 h. On the second sampling day, feeding times were shifted 3 h earlier than on the previous day. Each cow accessed the GreenFeed at least once at the following times: 6:30am, 8:30am, 10:30am, 2:30pm, 3:30pm and 6:30pm.
Grazing behavior was visually and systematically recorded every five minutes on days 10 and 12 of each period, following the methodology of Penning [13]. Observations were conducted throughout the daytime grazing cycle, categorizing activities as grazing, ruminating, or idling. These data allowed estimation of the time and daily proportion spent on each activity.
Herbage digestibility was estimated using the chemical composition of feces and consumed forage. Fecal samples were collected after each milking for four consecutive days. After drying (72 h at 60°C), samples were ground (1 mm) for analysis. Organic matter digestibility (OMD, g/g OM) was estimated using the equation by Ribeiro-Filho et al. (2005):
OMD = 1.035 − 24.78/CPf − 0.00027 × ADFf − 0.0571 × CPh/CPf
Where CPf = fecal crude protein (g/kg OM), ADFf = fecal acid detergent fiber (g/kg OM), and CPh = forage crude protein (g/kg OM). Methane (CH₄) emissions were measured on two of the last four days of each period, on days different from those used for behavior observations.

2.4. Chemical Analyses

Dry matter (DM) content was determined by drying at 105°C for 24 h. Ash content was obtained via combustion in a muffle furnace at 550°C for 4 h, and organic matter (OM) was calculated by mass difference. Total nitrogen (N) content was determined using the Dumas combustion method 968.06 [14] with a Leco FP 528 instrument (Leco Corporation, Saint Joseph, MI, USA). Crude protein (CP) was calculated by multiplying N content by 6.25. Neutral detergent fiber (NDF) was determined according to Mertens[15], with modifications: samples were weighed in filter bags and treated with neutral detergent in an ANKOM A220 system (ANKOM Technology, Macedon, NY, USA). This analysis included thermostable α-amylase and ash correction but excluded sodium sulfite. Acid detergent fiber (ADF) was analyzed according to AOAC Method 973.18 [14].

2.5. Statistical Analysis

Statistical analyses used ANOVA with treatment as fixed effect and period as random effects. Significance was set at p < 0.05; trends were noted when 0.05 ≤ p < 0.10.

3. Results

Pre-grazing herbage mass was higher in RG paddocks (1773 kg DM/ha) compared to RG + Leg (1549 kg DM/ha), with herbage allowance also greater in RG (51.7 vs. 45.8 kg DM/cow/day) (Table 1). Legumes accounted for ~9% of the DM in RG + Leg. Crude protein content was slightly higher in RG + Leg (178 vs. 172 g/kg DM), while NDF and ADF were also marginally greater.
Grazing time averaged ~390 min/day with no major differences between treatments (Table 3). Cows grazed most after afternoon milking (4–8pm, 34%) followed by post-morning milking (8am–12pm, 28%). Organic matter digestibility showed a trend towards higher values in RG (0.807 vs. 0.803; p = 0.067).

4. Discussion

This study assessed the performance of dairy cows grazing ryegrass alone or intercropped with forage legumes under rotational management in a subtropical environment. Contrary to the hypothesis, intercropping with red clover and vetch did not improve milk yield or methane output. Instead, milk and protein yields were reduced in the mixed sward treatment, and methane emissions remained unchanged, suggesting limited functional impact of legume inclusion at the observed botanical composition.
The proportion of legumes in the intercropped pastures was approximately 9% of total dry matter. Although legumes slightly increased crude protein levels, they did not substantially alter neutral or acid detergent fibre fractions. The lower pre-grazing herbage mass and herbage allowance in the RG + Leg treatment suggest that legumes may have competed poorly with ryegrass, reducing total DM yield. Other studies reporting benefits from legume inclusion have typically achieved higher proportions (≥20%) in the sward, often through the use of more aggressive species or modified management practices [17,18].
The greater milk production in cows grazing monoculture ryegrass pastures, than cows on intercropped pastures, likely reflect higher herbage mass and herbage allowance in the monoculture treatment. Lower herbage mass in mixed swards, such as those containing white clover and perennial ryegrass, can lead to reduced herbage intake and milk yield. For instance, cows grazing on mixed swards with lower pre-grazing herbage mass had lower herbage intake and milk yield compared to those grazing on perennial ryegrass monocultures [19]. This suggests that the structure and availability of herbage in mixed swards can significantly impact intake and subsequent milk production. In the same way, it is well known that lower herbage allowance can decrease individual milk production [20,21].
The lack of difference in milk fat, ECM, and urea nitrogen concentrations suggests that the cows’ metabolic responses were similar, but that reduced intake or forage quality limited output in the mixed treatment. The inclusion of legumes in grass swards generally improves the nutritional quality of the pasture, which can enhance milk production [22]. However, if the herbage mass is insufficient, the potential benefits of the mixed sward are not fully realized. Cows grazing on mixed swards with adequate herbage mass and allowance showed improved milk yield compared to those on monocultures, but this advantage diminishes with lower herbage mass [23,24].
The lack of effect of legume inclusion on daily CH₄ emissions and emission intensity may be partially explained by the fact that the methane-mitigating potential of legumes is often associated with the presence of tannins or other bioactive compounds [25]. In this study, however, neither red clover nor common vetch are known to contain appreciable levels of such secondary metabolites. Moreover, the limited legume biomass likely constrained any advantage in mixed swards. It has been shown that while legumes can reduce methane production due to their physical and chemical properties, this reduction is more related to the rate of passage and specific chemical interactions rather than a fundamental shift in fermentation pathways [25,26,27]
The tendency observed toward higher OM digestibility in the monoculture ryegrass pasture is in agreement with other experiments where including legumes decreased OM digestibility [28,29], which may reflect a combination of factors including lower sward maturity and greater post-grazing residue in the monoculture paddocks [30,31]. Additionally, legumes tend to have higher passage rates through the digestive system compared to other forages like grasses. This is due to their rapid fermentation and physical breakdown in the rumen, leading to lower digestibility [26]
Grazing behaviour patterns were broadly similar between treatments, indicating that short-term behavioural responses to changes in forage composition were minimal under the conditions tested. It is well known that factors such as herbage allowance grazing management practices, and specific structural characteristics of swards can play a role, but their effects are often context-dependent and may not lead to substantial changes in overall grazing behavior or animal performance [32,33]. Additionally, under high herbage allowance conditions, cows are able to graze selectively, which may reduce the influence of sward structure on grazing behavior [34]. In the present study, the daily herbage allowance exceeded 45 kg DM/cow, a level typically associated with lenient grazing management [35].
The limited benefits observed with legume inclusion are likely attributable to the low proportion of legumes in the sward. To achieve measurable gains in animal performance or environmental indicators, strategies that enhance legume establishment and persistence are essential. These may include species selection [34], adjusted sowing ratios [35], and grazing regimes [36] that favour legume competitiveness.

5. Conclusions

Reducing nitrogen fertilization and including red clover and common vetch in annual ryegrass pastures did not decrease enteric methane emissions or improve milk production under rotational grazing in a subtropical environment. Milk and protein yields were reduced in the intercropped treatment, likely due to lower herbage allowance and insufficient legume biomass. These findings suggest that the successful use of forage legumes for improving productivity and mitigating emissions in pasture-based dairy systems depends critically on achieving higher legume proportions in the sward. Further research is needed to optimise legume establishment and persistence under field conditions.

Author Contributions

Conceptualization, Henrique M.N. Ribeiro-Filho; Methodology, Henrique M.N. Ribeiro-Filho and Tiago Celso Baldissera; Formal Analysis, Larissa Godeski Moreira and Tiago celso Baldissera; Investigation, Larissa Godeski Moreira, Chrystian Jassanã Cazarotto, Maria Isabel Martini and Renata da Rosa Dornelles; Resources, Henrique M.N. Ribeiro-Filho and Tiago Celso Baldissera; Data Curation, Larissa Godeski Moreira; Writing – Larissa Godeski Moreira; Writing – Review & Editing, Henrique M.N. Ribeiro-Filho; Supervision, Henrique M.N. Ribeiro-Filho; Project Administration, Henrique M.N. Ribeiro-Filho; Funding Acquisition, Henrique M.N. Ribeiro-Filho and Tiago Celso Balssera..

Funding

This work was partially supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico - Brasil (CNPq) - Financie Code 311107/2022-2, Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina (FAPESC) - Finance Codes: 2023 TR242; 2024 TR2648, and Projeto Pecuária ConSCiente Carbono Zero (Epagri Seplan 6316275).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by Ethic Committee on Animal Use of the University of Santa Catarina State (CEUA/UDESC), protocol number CEUA 6051180521 (June 25, 2021).

Data Availability Statement

Data is available upon request.

Acknowledgments

The authors also acknowledge the Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina (FAPESC) for providing a scholarship to the first author.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
DM Dry matter
OM Organic matter
CP Crude protein
NDF Neutral detergent fiber
ADF Acid detergent fiber
OMD Organic matter digestibility
MUN Milk urea nitrogen
ECM Energy-corrected milk production

References

  1. Moscovici Joubran, A.; Pierce, K.M.; Garvey, N.; Shalloo, L.; O’Callaghan, T.F. Invited Review: A 2020 Perspective on Pasture-Based Dairy Systems and Products. J Dairy Sci 2021, 104, 7364–7382. [Google Scholar] [CrossRef] [PubMed]
  2. Galloway, C.; Conradie, B.; Prozesky, H.; Esler, K. Are Private and Social Goals Aligned in Pasture-Based Dairy Production? J Clean Prod 2018, 175, 402–408. [Google Scholar] [CrossRef]
  3. Yang, Z.; Nie, G.; Pan, L.; Zhang, Y.; Huang, L.; Ma, X.; Zhang, X. Development and Validation of Near-Infrared Spectroscopy for the Prediction of Forage Quality Parameters in Lolium Multiflorum. PeerJ 2017, 2017. [Google Scholar] [CrossRef]
  4. Venuto, B.C.; Redfearn, D.D.; Pitman, W.D.; Alison, M.W. Impact of Seeding Rate on Annual Ryegrass Performance. Grass and Forage Science 2004, 59, 8–14. [Google Scholar] [CrossRef]
  5. Cinar, S.; Ozkurt, M.; Cetin, R. Effects of Nitrogen Fertilization Rates on Forage Yield and Quality of Annual Ryegrass (Lolium Multiflorum l. ) in Central Black Sea Climatic Zone in Turkey. Appl Ecol Environ Res 2020, 18, 417–432. [Google Scholar] [CrossRef]
  6. Pereira, J.R.; Neres, M.A.; Sandini, I.E.; Fluck, A.C.; Costa, O.A.D.; Sartor, L.R. Chemical Compounds and Gas Production Kinetics of Annual Ryegrass Hay in Distinct Nitrogen Levels and Cutting Heights. Turk J Vet Anim Sci 2020, 44, 1243–1249. [Google Scholar] [CrossRef]
  7. Peyraud, J.L.; Le Gall, A.; Lüscher, A. Potential Food Production from Forage Legume-Based-Systems in Europe: An Overview. Irish Journal of Agricultural and Food Research 2009, 48, 115–135. [Google Scholar]
  8. Rasmussen, J.; Søegaard, K.; Pirhofer-Walzl, K.; Eriksen, J. N2-Fixation and Residual N Effect of Four Legume Species and Four Companion Grass Species. European Journal of Agronomy 2012, 36, 66–74. [Google Scholar] [CrossRef]
  9. Fagundes, G.M.; Benetel, G.; Carriero, M.M.; Sousa, R.L.M.; Muir, J.P.; Macedo, R.O.; Bueno, I.C.S. Tannin-Rich Forage as a Methane Mitigation Strategy for Cattle and the Implications for Rumen Microbiota. Anim Prod Sci 2020, 61, 26–37. [Google Scholar] [CrossRef]
  10. Haling, R.E.; Campbell, C.D.; Tighe, M.K.; Guppy, C.N. Effect of Competition from a C4 Grass on the Phosphorus Response of a Subtropical Legume. Crop Pasture Sci 2013, 64, 985–992. [Google Scholar] [CrossRef]
  11. Hayes, R.C.; Newell, M.T.; Li, G.D.; Haling, R.E.; Harris, C.A.; Culvenor, R.A.; Badgery, W.B.; Munday, N.; Price, A.; Stutz, R.S.; et al. Legume Persistence for Grasslands in Tableland Environments of South-Eastern Australia. Crop Pasture Sci 2023, 74, 712–738. [Google Scholar] [CrossRef]
  12. Jezequel, A.; Delaby, L.; Finn, J.A.; McKay, Z.C.; Horan, B. Sward Species Diversity Impacts on Pasture Productivity and Botanical Composition Under Grazing Systems. Grass and Forage Science 2024. [Google Scholar] [CrossRef]
  13. Penning, P.D. Aninmal-Based Techniques for Estimating Herbage Intake. In Herbage intake handbook; Penning, P.D., Ed.; The Britsh Grassland Society: Reading, 2004; pp. 53–93. ISBN 0 905944 31 3. [Google Scholar]
  14. AOAC Official Methods of Analysis; Latimer, G.W., Ed.; 21st ed.; AOAC: Rockville, 2019. ISBN 0-935584-89-7.
  15. Mertens, D.R. Gravimetric Determination of Amylase-Treated Neutral Detergent Fiber in Feeds with Refluxing in Beakers or Crucibles: Collaborative Study. J AOAC Int 2002, 85, 1217–1240. [Google Scholar] [CrossRef]
  16. Tyrrell, H.F.; Reid, J.T. Prediction of the Energy Value of Cow’s Milk. J Dairy Sci 1965, 48, 1215–1223. [Google Scholar] [CrossRef]
  17. Lüscher, A.; Mueller-Harvey, I.; Soussana, J.F.; Rees, R.M.; Peyraud, J.L. Potential of Legume-Based Grassland-Livestock Systems in Europe: A Review. Grass and Forage Science 2014, 69, 206–228. [Google Scholar] [CrossRef]
  18. Marshall, A.H.; Fothergill, M.; Rees, E.; Sizer-Coverdale, E.; Collins, R.P. Dry-Matter Yield of Lotus Varieties in Grass-White Clover Mixtures in a Low-Fertility Soil. Grass and Forage Science 2014, 69, 294–302. [Google Scholar] [CrossRef]
  19. Ribeiro-Filho, H.M.N.; Delagarde, R.; Peyraud, J.L.L. Herbage Intake and Milk Yield of Dairy Cows Grazing Perennial Ryegrass Swards or White Clover/Perennial Ryegrass Swards at Low- and Medium-Herbage Allowances. Anim Feed Sci Technol 2005, 119, 13–27. [Google Scholar] [CrossRef]
  20. Merino, V.M.; Balocchi, O.A.; Rivero, M.J.; Pulido, R.G. Short-Term Effect of Daily Herbage Allowance Restriction on Pasture Condition and the Performance of Grazing Dairy Cows during Autumn. Animals 2020, 10. [Google Scholar] [CrossRef]
  21. Merino, V.M.; Balocchi, O.A.; Pulido, R.G. Pasture Condition and Milk Production by Grazing Dairy Cows as Affected by Daily Herbage-Allowance Restriction. Anim Prod Sci 2019, 59, 1510–1519. [Google Scholar] [CrossRef]
  22. Dineen, M.; Delaby, L.; Gilliland, T.; McCarthy, B. Meta-Analysis of the Effect of White Clover Inclusion in Perennial Ryegrass Swards on Milk Production. J Dairy Sci 2018, 101, 1804–1816. [Google Scholar] [CrossRef]
  23. Pembleton, K.G.; Hills, J.L.; Freeman, M.J.; McLaren, D.K.; French, M.; Rawnsley, R.P. More Milk from Forage: Milk Production, Blood Metabolites, and Forage Intake of Dairy Cows Grazing Pasture Mixtures and Spatially Adjacent Monocultures. J Dairy Sci 2016, 99, 3512–3528. [Google Scholar] [CrossRef] [PubMed]
  24. Langworthy, A.D.; Freeman, M.J.; Hills, J.L.; McLaren, D.K.; Rawnsley, R.P.; Pembleton, K.G. A Forage Allowance by Forage Type Interaction Impacts the Daily Milk Yield of Early Lactation Dairy Cows. Animals 2023, 13. [Google Scholar] [CrossRef] [PubMed]
  25. Niderkorn, V.; Baumont, R.; le Morvan, A.; Macheboeuf, D. Occurrence of Associative Effects between Grasses and Legumes in Binary Mixtures on in Vitro Rumen Fermentation Characteristics. J Anim Sci 2011, 89, 1138–1145. [Google Scholar] [CrossRef]
  26. Dewhurst, R.J. Milk Production from Silage: Comparison of Grass, Legume and Maize Silages and Their Mixtures. Agricultural and Food Science 2013, 22, 57–69. [Google Scholar] [CrossRef]
  27. Dewhurst, R.J.; Delaby, L.; Moloney, A.; Boland, T.; Lewis, E. Nutritive Value of Forage Legumes Used for Grazing and Silage. Irish Journal of Agricultural and Food Research 2009, 48, 167–187. [Google Scholar]
  28. Holohan, C.; Grace, C.; Bock, M.; Lynch, M.B. An Assessment of Herbage Mass, Ryegrass Cultivar and Red Clover Inclusion on Sward Productivity, Quality and Morphology under a Cutting Protocol. Journal of Agricultural Science 2022, 160, 55–65. [Google Scholar] [CrossRef]
  29. Alves, T.P.; Dall-Orsoletta, A.C.; Ribeiro-Filho, H.M.. N. The Effects of Supplementing Acacia Mearnsii Tannin Extract on Dairy Cow Dry Matter Intake, Milk Production, and Methane Emission in a Tropical Pasture. Trop Anim Health Prod 2017, 49. [CrossRef]
  30. Vranić, M.; Knežević, M.; Perčulija, G.; Bošnjak, K.; Leto, J. Intake, Digestibility in Vivo, N Utilization and in Sacco Dry Matter Degradability of Grass Silage Harvested at Three Stages of Maturity. Asian-Australas J Anim Sci 2009, 22, 225–231. [Google Scholar] [CrossRef]
  31. Doyle, P.R.; McGee, M.; Moloney, A.P.; Kelly, A.K.; O’Riordan, E.G. Effect of Post-Grazing Sward Height, Sire Genotype and Indoor Finishing Diet on Steer Intake, Growth and Production in Grass-Based Suckler Weanling-to-Beef Systems. Animals 2021, 11. [Google Scholar] [CrossRef]
  32. Menegazzi, G.; Giles, P.Y.; Oborsky, M.; Fast, O.; Mattiauda, D.A.; Genro, T.C.M.; Chilibroste, P. Effect of Post-Grazing Sward Height on Ingestive Behavior, Dry Matter Intake, and Milk Production of Holstein Dairy Cows. Frontiers in Animal Science 2021, 2. [Google Scholar] [CrossRef]
  33. Dumont, B.; Garel, J.P.; Ginane, C.; Decuq, F.; Farruggia, A.; Pradel, P.; Rigolot, C.; Petit, M. Effect of Cattle Grazing a Species-Rich Mountain Pasture under Different Stocking Rates on the Dynamics of Diet Selection and Sward Structure. Animal 2007, 1, 1042–1052. [Google Scholar] [CrossRef]
  34. Monjardino, M.; Loi, A.; Thomas, D.T.; Revell, C.K.; Flohr, B.M.; Llewellyn, R.S.; Norman, H.C. Improved Legume Pastures Increase Economic Value, Resilience and Sustainability of Crop-Livestock Systems. Agric Syst 2022, 203, 103519. [Google Scholar] [CrossRef]
  35. Wang, S.; Chen, G.; Yang, Y.; Zeng, Z.; Hu, Y.; Zang, H. Sowing Ratio Determines Forage Yields and Economic Benefits of Oat and Common Vetch Intercropping. Agron J 2021, 113, 2607–2617. [Google Scholar] [CrossRef]
  36. Zegler, C.H.; Brink, G.E.; Renz, M.J.; Ruark, M.D.; Casler, M.D. Management Effects on Forage Productivity, Nutritive Value, and Legume Persistence in Rotationally Grazed Pastures. Crop Sci 2018, 58, 2657–2664. [Google Scholar] [CrossRef]
Table 1. Herbage characteristics of annual ryegrass (Lolium multiflorum Lam.) alone or annual ryegrass + legumes.
Table 1. Herbage characteristics of annual ryegrass (Lolium multiflorum Lam.) alone or annual ryegrass + legumes.
RG RG + Leg
Pre-grazing herbage mass (kg DM/ha) 1773 1549
        Herbage allowance (kg DM/cow) 51.7 45.8
        Pre-grazing herbage height (cm) 32.4 28.2
        Post-grazing herbage height (cm) 18.2 16.9
        Defoliation severity¹ 0.44 0.40
Chemical composition (g/kg DM)
        DM² (g/kg fresh) 144 160
        Organic matter 897 901
        Crude protein 172 178
        Neutral detergent fiber 562 594
        Acid detergent fiber 248 260
Botanical composition (g/kg DM)
        Ryegrass
        Leaves 434 398
        Stems 357 342
        Legumes 0.0 89.0
        Other species 0.82 19.0
        Dead material 205 151
¹Defoliation severity: (pre-grazing herbage height – post-grazing herbage height) / pre-grazing herbage height. ² DM: dry matter.
Table 2. Methane emissions, milk yield, and milk composition of dairy cows grazing annual ryegrass (RG) or ryegrass + legumes (RG + Leg).
Table 2. Methane emissions, milk yield, and milk composition of dairy cows grazing annual ryegrass (RG) or ryegrass + legumes (RG + Leg).
RG RG + Leg rsd P <
 Methane
  g/day 330 321 21.4 0.362
  g/kg ECM1 11.0 10.6 1.01 0.377
 Milk production (kg/dia) 31.9 29.9 1.23 0.040
 CM production (kg/dia) 30.9 30.0 1.66 0.393
 Milk fat (g/kg) 38.5 40.7 3.44 0.282
 Milk prontein (g/kg) 33.4 32.3 1.71 0.273
 Milk fat production (g/dia) 1220 1213 90.6 0.893
 Milk protein production (g/dia) 1053 965 21.6 0.001
 MUN² (mg/dL) 5.9 6.1 1.18 0.732
 Live weight (kg) 551 553 6.9 0.341
 Digestibility of OM 0.807 0.803 0.0056 0.067
¹Energy-corrected milk production, calculated as follows: kg of milk production × [37.6 × fat (g/kg) + 20.9 × protein (g/kg) + 948]/3,138 [16], ²MUN: milk urea nitrogen. Rsd: residual standard deviation.
Table 3. Grazing time of dairy cows grazing annual ryegrass (RG) or ryegrass + legumes (RG + Leg).
Table 3. Grazing time of dairy cows grazing annual ryegrass (RG) or ryegrass + legumes (RG + Leg).
RG RG + Leg rsd P <
Grazing time (min)
5am - 8am 60 54 6.4 0.170
8am - 12pm 112 109 14.6 0.706
12pm - 4pm 92 86 15.0 0.474
4pm - 8pm 130 135 2.4 0.080
Total 394 384 25.9 0.541
Rsd: residual standard deviation.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated