Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE (Open Access)

Forage lucerne for grazing dairy cows: effects on milk yield, milk urea and fatty acid composition

M. C. Mangwe https://orcid.org/0000-0002-7533-1889 A , R. H. Bryant https://orcid.org/0000-0002-5004-8147 A * , P. Beckett A , L. Tey A , J. Curtis A , R. Burgess A and O. Al-Marashdeh A
+ Author Affiliations
- Author Affiliations

A Faculty of Agriculture and Life Sciences, Lincoln University, PO Box 85084, Lincoln 7647, New Zealand.

* Correspondence to: Racheal.Bryant@lincoln.ac.nz

Handling Editor: Callum Eastwood

Animal Production Science 64, AN24321 https://doi.org/10.1071/AN24321
Submitted: 2 October 2024  Accepted: 11 November 2024  Published: 28 November 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

The value of milk components is increasingly recognised for human health benefits (e.g. omega-3 fatty acids, FA), or indicators of nutrient-use efficiency for both animal and environmental benefits (e.g. milk urea, MU).

Aims

The study explored whether inclusion of lucerne (Medicago sativa L.) in a perennial ryegrass and white clover (Lolium perenne L. and Trifolium repens L, PRW)-based diet affects milk production, MU concentration, and milk FA composition of dairy cows during mid-lactation.

Methods

Thirty-two cows, balanced for milk production (26.1 ± 3.03 kg/cow), MU (16.6 ± 2.84 mg/dL), and days in milk (94 ± 7 days), were evenly allocated into eight groups of four. Groups were then randomly assigned one of two dietary treatments, namely, PRW only (control), and PRW plus lucerne (lucerne). During an 8-day adaptation, control cows were fed a fresh allocation after each milking at 08:30 hours and 16:00 hours to provide 25 kg/cow.day DM of fresh PRW herbage above a target post-grazing height of 4.5 cm height. Cows on lucerne were allocated 10 kg DM of fresh lucerne at 08:30 hours, and 15 kg DM of fresh PRW at 16:00 hours. Apparent nutrient intakes and milk composition were determined on Days 9 and 10 of the study.

Key results

Diet treatment did not significantly alter DM or metabolisable energy intake, milk production, or milk fat and protein percentage. However, compared with control cows, nitrogen and linoleic acid (LA) intake increased, and soluble carbohydrate, neutral detergent fibre, and alpha linoleic acid (ALA) intake decreased for cows fed lucerne. Milk urea increased by 43% for lucerne compared with control cows (22.4 vs 15.7 ± 1.43 mg/dL, P < 0.001). Cows grazing lucerne produced milk with a higher concentration of LA and ALA than did the control cows. Increases in milk LA from grazing lucerne were congruent with improvement in intake of the FA from the diet, whereas increases in ALA occurred despite the corresponding lower dietary intake.

Conclusion

Supplementing a pasture diet with lucerne increased MU and FA.

Implications

Lucerne has the potential to enhance dietary protein supply during periods of deficiency and increase the supply of functional FA in the milk of grazing dairy cattle.

Keywords: alfalfa, animal performance, legumes, milk quality, milk solid, monounsaturated, nitrogen use efficiency, polyunsaturated.

Introduction

Lucerne (Medicago sativa) is a forage commonly used in livestock production systems globally. In housed dairy systems, ensiled or dried lucerne represents an important component of the total mixed ration as a source of both fibre and protein (Ison et al. 2019; Chowdhury et al. 2023). The success of lucerne is based on the low cost of production, with its high yield and high water-use efficiency and natural nitrogen (N) fixation ability (Brown and Moot 2004; Dewhurst 2013; Pembleton and Sathish 2014). In temperate grazing systems, where summer droughts limit feed supply, lucerne is grazed to meet lactating ewe and growing lamb energy and protein requirements (Mills and Moot 2010). However, in dairy systems the use of lucerne for grazing is limited, largely owing to risks associated with bloat (Murphy et al. 2022) and low N-use efficiency (NUE) for milk production (Smith et al. 2013). The risks are typically mitigated through partial feeding of lucerne with pasture and/or supplementation with conserved or concentrate feeds (Bretschneider et al. 2007; Dickhoefer et al. 2022).

Conservation of water and protein are important management considerations in livestock production systems. External sources of N have been used in excess, leading to increased pollution of freshwater and subsequent regulations on inputs (Beukes et al. 2012). Similarly, the effects of climate change, including elevated atmospheric carbon dioxide (CO2) and increased plant growth potential, along with the subsequent rise in water demand, will highlight the value of forages with low N and water demands such as lucerne (Pembleton and Sathish 2014).

Regulations to minimise N loss from farms to the environment may include monitoring approaches such as milk urea (MU), which are indicative of surplus N in the diet and potential high urine N losses (Jonker et al. 1998; Kauffman and St-Pierre 2001; Mangwe et al. 2024). By the same notion, low MU can indicate a deficiency in dietary N, where research has demonstrated that increasing the protein supply in feed for cows with MU of <17 mg/dL can increase milk production (Barros et al. 2017; Kyamanywa et al. 2021). Variation in milk components can also indicate product quality for human consumption (Mangwe et al. 2020). For instance, interest in enhancing the milk fatty acid (FA) profile of dairy cattle by increasing content of functional FA such as polyunsaturated FA (PUFA) (i.e. omega-3 FA) is increasing.

Lucerne can achieve high yields of up to 21 t DM/ha annually (Brown and Moot 2004). However, owing to its shorter productive season, lucerne is better suited as a complementary herbage within existing grass-based systems. Previous research has demonstrated that dairy grazing of lucerne in supplemented diets can maintain (Bryant 1978; Smith et al. 2013) or increase (Stiles et al. 1968; Woodward et al. 2010) milk yield of cows, particularly during periods of low grass quality. Lucerne’s increased production during the summer months, when grasses experience lower growth and reduced protein and energy concentration, highlight a valuable niche for lucerne grazing. However, remarkably few studies exist comparing milk yield from grazed lucerne and grass pasture. The purpose of this research was to investigate the effect of grazed lucerne herbage with perennial ryegrass and white clover (Lolium perenne L. and Trifolium repens L, PRW) herbage to determine the effect on milk yield and milk composition.

Materials and methods

The experiment was undertaken at Ashley Dene Research and Development Station (ADRDS) in Springston, Canterbury, New Zealand (43°38′49.73″S, 172°20′45.78″E), with the approval of the Lincoln University Animal Ethics Committee (#2023-56). The soil type is an irrigated, sedimentary, free-draining Lismore stoney soil with an average pH of 6.8 and Olsen phosphorus (P) of 41 mg/kg. The experimental area, which consisted of 4 ha of PRW and 4.6 ha of lucerne, was established in September 2022. Since then, the pasture had been rotationally grazed to manage herbage mass, whereas the lucerne was cut and carried during the first 12 months, before being included in the grazing rotation. Preparation of the grazing area for the experiment commenced approximately 24 days before each run, by grazing 1 ha of each herbage type by using the main farm herd. Each week thereafter another hectare was grazed until the entire experimental area had been grazed.

Thirty-two mid-lactation Holstein-Friesian × Jersey cows selected from a spring-calving herd of cows were evenly allocated into eight groups of four cows on the basis of milk production (26.1 ± 3.03 kg/cow), MU concentration (16.6 ± 2.84 mg/dL), liveweight (488 ± 19.6 kg), and days in milk (94 ± 7.0 days). The experiment was conducted over four runs between 10 November and 11 December 2023, with each run being undertaken over an 8-day acclimatisation and a 2-day measurement period. The runs were conducted between 10 and 20 November (Run 1), 17 and 27 November (Run 2), 24 November and 4 December (Run 3), and 1 and 11 December (Run 4) 2023.

During each run, one of two cow-groups (four runs × two groups) was randomly assigned to either a PRW only (control), or a PRW plus lucerne (lucerne) herbage. Control cows were fed a fresh allocation after each milking at 08:30 hours and 16:00 hours to provide 25 kg/cow DM of fresh PRW above a target post-grazing height of 4.5 cm height. Cows on lucerne were allocated 10 kg/cow DM of fresh lucerne above a target post-grazing height of 4.5 cm at 08:30 hours, and 15 kg/cow DM of fresh PRW at 16:00 hours. No bloat prevention was given, so animals were monitored daily for any signs of bloat. Temporary fencing was used to control the size of the area grazed by the animals. Allocation areas were determined on the basis of the pre-graze mass (kg DM/ha) of each sward. Pre-graze mass was determined 3 days before the estimated grazing time by harvesting all herbage within five 0.2 m2 quadrats by using hand-operated electric shears, followed by washing and oven drying at 60°C for 48 h.

Herbage measurements

Pre- and post-grazing herbage samples were collected on Days 9 and 10 of each run for botanical and chemical composition analyses. About 250 g fresh sample was collected by harvesting herbage at 4.5 cm grazing height from 8 to 10 random locations within each allocated grazing area by using a pair of clippers. The collected sample was homogenised and separated into the following three subsamples: for DM content determination; for botanical and nutrient composition; and for FA analysis. To determine DM content of each sward type, approximately 50 g fresh herbage was weighed and dried at 60°C for 48 h and reweighed. For botanical composition analyses, approximately 100 g fresh herbage was separated into sown species, weed, and dead material prior to oven drying at 60°C for at least 48 h to determine the DM content of each component. Oven-dried botanical components were then recombined within treatment × day and analysed for organic matter (OM), crude protein (CP) acid detergent fibre (ADF), neutral detergent fibre (NDF), water-soluble carbohydrates (WSC) and digestible OM in the DM (DOMD) by using near-infrared spectrophotometry (NIRS, Model: FOSS NIRSystems 5000, Maryland, USA). Digestible organic matter in the DM was used to estimate metabolisable energy (ME) by using the equation: ME (MJ/kg DM) = DOMD (g/kg DM) × 0.016 (AFRC 1993). The third sample of approximately 100 g fresh herbage, collected pre-grazing, was stored at −20° and later freeze dried for individual FA analysis. Freeze dried FA samples were prepared through transmethylation and analysed by gas chromatography (with AOC-20i auto-sampler, Shimadzu GC-2010, Japan), according to AOAC (2012) Method 2012.13 using a Varian CP742 silica capillary column (0.25 × 100 m × 0.2 μm).

Animal measurements

Nutrient intake

Apparent DM intake was determined on Days 9 and 10 during each run. DM intake was estimated separately for morning and afternoon allocation, as follows:

DM intake=((Pre-grazing massPost-grazing mass)/Number of cows)×Area.

where DM intake is in kilograms per cow, and pre-grazing and post-grazing massess are in kilograms per hectare. Nutrients (i.e. CP, WSC, NDF and ME) intakes were estimated using a similar equation as DM intake but by multiplying herbage mass by the herbage nutrient concentration in the mass pre- and post-grazing. Total DM and nutrient intakes were estimated as the sum of the morning and afternoon grazing bouts. Because FA were determined in pre-grazing herbage only, individual FA intakes were estimated by multiplying DM intake by FA concentrations in the herbage.

Bodyweight and milk yield and composition

Cows were milked twice daily at 06:00 hours and 15:00 hours. All cows were fitted with AfiCollar™ (Afimilk, SAE Afikim, Kibbutz Afikim, Israel). Liveweight and milk production for each animal were recorded automatically during milkings using Afimilk walk over scales for liveweight and inline flow meters for milk yield. Duplicate milk samples were collected into 20 mL plain vials during each milking session on Days 9 and 10 of the experiment. The first set of milk samples was immediately sent for analysis of total fat, protein, lactose and MU content by mid-infrared spectrophotometry (MilkTestNZ, Hamilton, New Zealand). The second set of milk samples was stored at −20°C pending FA analyses following the method described above. The transfer rate of the predominant FA (linoleic and alpha linolenic FAs) from herbage to milk was calculated as the ratio of ingested individual FA to that of FA in milk.

Statistical analyses

The mixed model ANOVA using lme4 package ver. 1.1-35.1 (Bates et al. 2015) in R software ver. 4.2.0 (R Core Team 2020) was used to compare means. For herbage chemical composition and nutrient-intake analyses, herbage type was fitted as fixed effect and date was nested in run fitted as random effect. For animal-performance parameters such as milk yield and composition, individual milk FAs, and MU, the herbage type was fitted as fixed effect, with date nested in run plus cow fitted as random effect. During the adaptation period of the first run, one cow on lucerne had to be excluded from the experiment because of lameness. Statistical significance was declared when P < 0.05 and a tendency was declared when P ≥ 0.05 but <0.1.

Results

Herbage characteristics

The dry-weight proportions of perennial ryegrass and white clover within the PRW swards were 69.2% and 5.8% respectively. The remaining proportion consisted of weed (17.1%) and dead material (7.9%). The purity of the lucerne was high, forming more than 90% of the herbage dry weight. Over similar regrowth intervals, lucerne herbage accumulated a 1.3-fold greater biomass than did PRW (Table 1). Lucerne herbage had 31% higher CP (P = 0.037), 15% higher ADF concentration (P = 0.075), but 49% lower WSC concentration (P = 0.011) and 8% lower ME content (P = 0.063) than did PRW.

Table 1.Herbage mass (kg DM/ha) and nutrient composition (g/kg DM) and metabolisable energy content (MJ/kg DM) of experimental herbages lucerne and perennial ryegrass–white clover (PRW).

ParameterPRWLucernes.e.m.P-value
Pre-grazing
 Herbage mass2707356887.0<0.001
 Dry matter (g/kg of fresh weight)19822229.30.234
 Organic matter9259153.370.036
 Crude protein16321317.20.037
 Neutral detergent fibre43240124.90.342
 Acid detergent fibre24828717.10.075
 Water-soluble carbohydrates23512127.90.011
 Metabolisable energy11.410.50.3270.063

Overall, total FA accounted for 2.5% of the DM and did not differ between PRW and lucerne herbages. In both forages, alpha linolenic acid (ALA: C18:3 cis-9,12,15) was the predominant FA (Table 2), followed by palmitic (C16:0) and linoleic acids (LA: C18:2 cis-9,12). Alpha linolenic acid was 40% higher (P = 0.006) in PRW than in lucerne herbage, whereas linoleic and palmitic acids were 63% (P = 0.004) and 20% (P = 0.022) higher in lucerne than in PRW respectively.

Table 2.Fatty acid composition (g/kg DM) of pre-grazed experimental herbages lucerne and ryegrass–white clover (PRW).

ParameterPRWLucernes.e.m.P-value
C12:00.0460.0440.0020.739
C14:00.1080.1180.0060.284
C15:00.0310.0810.0050.000
C16:04.2105.0400.1910.022
C16:1 cis-70.4090.4160.0230.843
C16:1 cis-90.0400.0080.0060.010
C18:00.3320.6470.0330.000
C18:1 cis-90.5430.4670.1070.634
C18:1 cis-110.0890.0670.0130.263
C18:2 cis-9,122.9704.8400.2970.004
C18:3 cis-9,12,1516.1011.501.4400.006
C20:00.0800.1350.0100.007
C22:00.1030.1450.0040.000
C23:00.0500.0800.0040.001
C24:00.0620.1160.0040.000
C26:00.0460.0190.0080.053
Unknown0.7151.0340.0430.002
Saturated FAs5.0706.4200.2190.005
Monounsaturated FAs1.0801.0200.1660.812
Polyunsaturated FAs19.1016.301.6300.272
Total FAs25.9024.801.7800.660

Intake and performance

Apparent daily DM intake did not differ between treatments (19.7 ± 0.338 kg DM/cow; P = 0.334). Lucerne accounted for approximately 43% of apparent DM intake for cows grazing lucerne-based herbage. As with DM, the intake of ME was similar between groups (222 ± 0.043 ME: MJ/day; P = 0.334). Because of the 7.7% numerical difference in NDF concentration between PRW and lucerne, cows on control diet ingested more NDF (+1.14 kg/day) than did cows on lucerne (P < 0.001). The intake of WSC was also higher (+1.26 kg/day) in control cows than in lucerne cows (P < 0.001). The higher CP content in lucerne was reflected in the increased N intake (+107 g N/day) from cows grazing lucerne compared with control (P < 0.001). Because of the higher N intake from the cows grazing lucerne, the N:ME intake ratio was 1.3-fold higher in cows grazing lucerne than those on control (P < 0.001). ALA intake was 20% lower in cows grazing lucerne than in control cows, whereas LA intake was 1.2-fold higher in cows grazing lucerne than in those grazing the control diet.

There was no effect of pasture type on milk yield or milk fat, protein or lactose composition (Table 3). MU concentration was 43% higher in lucerne-fed cows than in those fed the control diet. However, total N in milk was similar for both treatments. Including lucerne in the diet decreased NUE (milk N/intake N) compared with feeding PRW only (0.27 vs 0.33; P = 0.001).

Table 3.Effect of herbage type on apparent nutrient intake, milk production and composition of dairy cows grazing ryegrass–white clover (control) or ryegrass–white clover plus lucerne (lucerne).

ParameterControlLucernes.e.m.P-value
Herbage intake per cow of PRW19.911.13.55<0.001
Lucerne08.490.95<0.001
Total dry matter (kg/day)19.919.50.3380.334
Nitrogen (N, g/day)4715788.75<0.001
Neutral detergent fibre (kg/day)9.418.270.33<0.001
Water-soluble carbohydrates (kg/day)4.983.720.156<0.001
Metabolisable energy (ME, MJ/day)2272170.0430.160
N:ME ratio2.082.670.056<0.001
Linoleic acid (g/day)61.073.83.10<0.001
Alpha linolenic acid (g/day)34627724.1<0.001
Animal performance
 Milk yield (kg/cow.day)25.124.92.270.888
 Bodyweight change A (kg/cow)0.807.805.510.370
 Milk fat content (g/100 g)5.115.090.340.910
 Milk protein content (g/100 g)4.003.980.180.838
 Milk lactose content (g/100 g)5.045.110.050.103
 Milk urea (mg/dL)15.722.41.43<0.001
 Milk fat yield (kg/day)1.241.250.060.850
 Milk protein (kg/day)0.990.990.050.998
 Milk nitrogen (g N/day)1541547.780.998
 Milk solids (fat + protein; kg/day)2.232.240.100.918
 Fat:protein1.271.280.460.895
 Nitrogen-use efficiency (g N milk/g N intake)0.330.270.010.001
A Bodyweight change was determined over each 10-day run.

Milk FAs

The concentrations of individual milk FAs are displayed in Tables 4 and 5. Saturated FAs were the predominant FAs in the milk, forming nearly 73 g/100 g of FA in milk, followed by monounsaturated FAs at 20.6 ± 0.979 g/100 g of FA and polyunsaturated FAs at 3.14 ± 0.218 g/100 g of FA (Table 4). Saturated and monounsaturated FAs in milk were similar between cows grazing control and lucerne, whereas polyunsaturated FAs were 19% higher in the milk of cows grazing lucerne than in those grazing control. The differences in polyunsaturated FAs reflected the variation in the proportions of the long-chain FAs (i.e. omega-3; Table 5) such as ALA, LA and eicosapentaenoic acid (EPA; C20:5 cis-5,8,11,14,17), where they were 35% (P < 0.0001), 28% (P < 0.0001), and 13% (P = 042) respectively, higher in the milk of cows grazing lucerne than in those grazing control. The proportions of other functional FAs found in milk fat, such as conjugated linoleic acid (CLA; C18:2 cis-9 trans-11; 0.947 ± 0.16 g/100 g FA), vaccenic (C18:1 trans-11; 2.55 ± 0.55 g/100 g FA) and oleic acids (C18:1 cis-9; 13.8 ± 0.48 g/100 g FA), were similar in milk of cows grazing both herbages. The rate of transfer of LA from herbage to milk was similar between the two groups (0.146 ± 0.02 g intake/g in milk; P = 0.97). However, the rate of transfer of ALA was 1.8-fold higher in the group fed lucerne herbage than in cows fed control (0.042 vs 0.024 ± 0.005; P < 0.05).

Table 4.Odd-number, branched and grouped milk fatty acid composition (g/100 g of FA) of mid-lactation dairy cattle grazing ryegrass–white clover (control) or ryegrass–white clover plus lucerne (lucerne).

ParameterControlLucernes.e.m.P-value
C4:0 to C11:07.5007.6900.1940.470
C13:0 iso0.0290.0330.0010.006
C13:0 anteiso0.0870.0990.0080.060
C13:00.1320.1240.0080.400
C14:0 iso0.0780.0810.0060.578
C15:0 iso0.2720.2720.0110.909
C15:0 anteiso0.6180.6180.0490.948
C15:01.3601.3300.0550.672
C16:0 iso0.2100.2100.0130.862
C17:0 iso0.3730.3890.0150.175
C17:0 anteiso0.6010.6020.0320.947
C17:00.5630.5540.0210.562
C17:10.2060.2130.0080.560
C19:00.8900.9040.1070.850
C19:10.0680.0760.0030.093
C23:00.0300.0400.0030.098
Unknown0.4900.5600.0200.004
Branched FAs2.272.300.1170.6104
Saturated FAs73.6072.801.2600.422
Monounsaturated FAs20.6020.700.9790.934
Polyunsaturated FAs3.113.700.2180.006
Table 5.Even-number milk fatty acid composition (g/100 g of FA) of mid-lactation dairy cattle grazing ryegrass–white clover (control) or ryegrass–white clover plus lucerne (lucerne).

ParameterControlLucernes.e.m.P-value
C12:04.2704.3400.1900.794
C14:012.9012.800.2670.657
C14:1 cis-90.7020.7260.0320.535
C16:035.6035.501.9800.925
C16:1 trans-90.1170.1110.0220.612
C16:1 cis-70.2090.2120.0050.689
C16:1 cis-90.9590.9700.0880.89
C18:09.3809.3200.3930.188
C18:1 trans-5-80.1180.1190.0090.838
C18:1 trans-90.1100.1200.1000.294
C18:1 trans-100.1590.1710.0190.399
C18:1 trans-112.7202.3800.5520.219
C18:1 cis-60.3110.3410.0330.139
C18:1 cis-913.6013.900.4800.686
C18:1 trans-15 cis-100.2340.2780.0300.069
C18:1 cis-110.2680.2600.0240.793
C18:1 cis-120.0710.0970.0080.003
C18:1 cis-130.0740.0780.0070.447
C18:1 cis-14 trans-160.4290.4670.0410.142
C18:2 trans-9,120.1410.1380.0180.750
C18:2 cis-9 trans-120.2360.2840.0250.056
C18:2 cis-9 trans-130.1190.1460.0170.065
C18:2 trans-9 cis-120.0850.1050.0100.026
C18:2 cis-9,120.6520.8350.037<0.0001
C18:2 cis-9 trans-110.9220.9720.160.6896
C18:3 cis-3,9,120.0200.0250.0020.013
C18:3 cis-9,12,150.6270.8460.037<0.0001
C20:00.0910.0930.0030.238
C20:1 cis-80.0540.0570.0060.647
C20:1 cis-90.0580.0650.0020.057
C20:1 cis-110.0170.0150.0020.553
C20:2 cis-11,140.0200.0110.0060.337
C20:3 cis-8,11,140.0350.0420.0040.008
C20:3 cis-11,14,170.0110.0130.0020.281
C20:4 cis-5,8,11,140.0380.0410.0030.106
C20:4 cis-8,11,14,170.0300.0380.0040.117
C20:5 cis-5,8,11,14,170.0750.0820.0020.042
C22:00.0580.0630.0040.015
C22:1 cis-130.050.060.0030.039
C22:5 cis-7,10,13,16,190.1100.1170.01180.172
C24:00.0400.0500.0050.076
C26:00.0500.0400.0030.007

Discussion

Milk production and composition

Substituting 43% of the traditional PRW with lucerne in the diet of mid-lactation and spring-calving cows did not alter their milk production or composition. The findings corroborated those reported by Smith et al. (2013) for an early lactation (September–October) and mid-lactation (November–December) experiment that compared milk production and composition of 45 lactating dairy cattle cows fed either 100% lucerne or PRW in Canterbury, New Zealand. However, an indoor experiment involving 24 dairy cattle conducted in Waikato, New Zealand, showed improvements in milk yield and milk components in cows offered freshly cut lucerne compared with those fed the conventional PRW (Woodward et al. 2010). In the study reported by Woodward et al. (2010), improvements in milk production were congruent with improvement in DM intake from lucerne-fed cows. In contrast to this, Smith et al. (2013) reported that cows grazing PRW maintained DM and ME intakes compared with cows grazing lucerne, in line with the results from the current experiment. The use of irrigation to maintain herbage quality of the PRW control in the two Canterbury trials (Smith et al. 2013; current study) is likely to have contributed to the lack of treatment differences. Further, with indoor experiments, such as conducted in Waikato, cows were offered freshly cut herbage daily with less opportunity to exhibit herbage selection as they are under grazing conditions (Pembleton et al. 2016). The absence of variation in DM and ME intakes between control and lucerne-fed cows in the current experiment is likely to indicate that cows from both groups selected for similar nutrients during grazing, resulting in similar milk yield and composition.

Typically, diet N transformed to milk N is in the range of 0.15–0.35 for grazing dairy cattle (Gourley et al. 2012); the corresponding mean range of NUE obtained in the current experiment between 0.27 and 0.33 shows that NUE was within the published range for both feed types. Milk urea can be a useful indicator of dietary protein surplus, with most research suggesting excess protein (N) in the diet when MU is greater than 30 mg/dL (Spek et al. 2013; Mangwe et al. 2024). In the current study, the MU of cows fed lucerne remained within the recommended optimal range of 17–27 mg/dL suggested by Kohn et al. (2002). By contrast, the MU concentration among cows in the control was below the recommended lower threshold of 16–17 mg/dL recommended by those same authors (Kohn et al. 2002), at which a reduction in milk yield might be observed. Calculations to estimate metabolisable protein requirements and minimum dietary CP required for dairy cows to produce 25 kg milk and 2.24 kg milk solids in our study showed a minimum dietary CP of 168 g/kg DM in control and 166 g/kg DM in lucerne group, which was enough to meet the cows’ requirements for production and maintenance. The increased N intake in the lucerne group did not result in any milk production response, but increased their N:ME ratio and reduced NUE, as reflected by their higher MU concentration.

Milk FA composition

In most herbages, ALA and LA are the pre-dominant polyunsaturated FAs, contributing to over half of the FAs in the herbage, although this is dependent on herbage species. Generally, the concentration of ALA is higher in PRW herbage than in legumes (Kälber et al. 2011), which results in higher ALA intakes from cows grazing PRW-based diets than legume-based herbages, as was the case in the current study as well. In contrast, the concentration of LA was greater in lucerne herbage than in PRW.

Few studies have explored the impact of feeding fresh lucerne on individual milk FAs of dairy cattle in temperate regions. Our previous research has demonstrated that forages such as plantain and chicory can alter milk FA composition (Mangwe et al. 2020). In the current study, our findings showed that milk from cows grazing lucerne herbage contained greater LA and ALA concentrations than that from cows grazing grass-based herbages. This is consistent with previous research using legumes, which reported enriched levels of these two FAs in milk of cows grazing legume-based herbage (Dewhurst et al. 2006; Elgersma 2015). The higher LA concentration in the milk of cows grazing lucerne might reflect the higher intake of the acid from the herbage than for those grazing the control, whereas the higher concentration of ALA in the milk of cows grazing lucerne, obtained despite their lower intake of the FAs in the diet, reflects the greater transfer efficiency of the FAs from herbage to milk as previously reported for legumes (Elgersma 2015). This may be due to the higher concentrations of secondary compounds such as saponins in lucerne herbage (Kozłowska et al. 2021), which could have affected rumen biohydrogenation and modified the quality of FAs in milk of dairy cattle (Szczechowiak et al. 2016; Orlandi et al. 2020). Nonetheless, we did not analyse for secondary compounds in the current experiment; however, their expected effect on rumen biohydrogenation warrants further investigation.

Lucerne is a high-nutritive forage that has demonstrated potential to improve the quality of milk while maintaining animal performance in the current experiment. Although we did not observe any signs of bloat, the potential to cause bloat in dairy cows warrants further investigation. Consideration of the practicalities of managing bloat on lucerne diets would likely involve the use of bloat oils as a preventative, such actions may disguise or accentuate the impact of lucerne on milk FA composition. The current findings warrant further investigation to fully understand the mechanism underlying higher concentration of long-chain FAs in milk of cows grazing lucerne in situ.

Conclusions

Including lucerne in the conventional diet of PRW maintained DM and ME intakes as well as milk yield and composition of mid-lactation dairy cattle. Importantly, substituting PRW with lucerne herbage increased MU concentrations to within recommended levels compared with feeding PRW, which resulted to MU concentrations indicative of protein deficiency. The concentration of functional FA such as omega-3 FA was increased when lucerne formed part of the diet, indicating the value of lucerne in enriching the quality of milk produced by dairy cattle.

Data availability

Data used to generate the results in the paper are available upon request to corresponding author.

Conflicts of interest

Omar Al-Marashdeh is a Guest Editor of the Australasian Dairy Science Symposium 2024 collection of Animal Production Science. To mitigate this potential conflict of interest he had no editor-level access to this manuscript during peer review. The authors have no further conflicts of interest.

Declaration of funding

This research was supported by the Lincoln University Centre for Soil and Environmental Research.

Acknowledgements

We are grateful to the Ashley Dene Research and Development Station team for support with field work and to Taylor Britney and the Lincoln University laboratory team, Dr Jiang Shuang and Rosy Tung, for help with laboratory analysis.

References

AFRC (1993) Energy and protein requirements of ruminants: an advisory manual prepared by the AFRC technical committee on responses to nutrients. CAB International, Wallingford, UK.

Barros T, Quaassdorff MA, Aguerre MJ, Colmenero JJO, Bertics SJ, Crump PM, Wattiaux MA (2017) Effects of dietary crude protein concentration on late-lactation dairy cow performance and indicators of nitrogen utilization. Journal of Dairy Science 100(7), 5434-5448.
| Crossref | Google Scholar | PubMed |

Bates D, Mächler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models Usinglme4. Journal of Statistical Software 67(1), 1-48.
| Crossref | Google Scholar |

Beukes PC, Scarsbrook MR, Gregorini P, Romera AJ, Clark DA, Catto W (2012) The relationship between milk production and farm-gate nitrogen surplus for the Waikato region, New Zealand. Journal of Environmental Management 93(1), 44-51.
| Crossref | Google Scholar | PubMed |

Bretschneider G, Peralta M, Santini FJ, Fay JP, Faverin C (2007) Influence of corn silage supplementation before alfalfa grazing on ruminal environment in relation to the occurrence of frothy bloat in cattle. Animal Feed Science and Technology 136(1–2), 23-37.
| Crossref | Google Scholar |

Brown HE, Moot DJ (2004) Quality and quantity of chicory, lucerne and red clover production under irrigation. Proceedings of the New Zealand Grassland Association 66, 257-264.
| Google Scholar |

Bryant AM (1978) Milk yield and composition from cows grazing lucerne. Proceedings of the New Zealand Society of Animal Production 38, 185-190.
| Google Scholar |

Chowdhury MR, Wilkinson RG, Sinclair LA (2023) Feeding lower-protein diets based on red clover and grass or alfalfa and corn silage does not affect milk production but improves nitrogen use efficiency in dairy cows. Journal of Dairy Science 106(3), 1773-1789.
| Crossref | Google Scholar | PubMed |

Dewhurst R (2013) Milk production from silage: comparison of grass, legume and maize silages and their mixtures. Agricultural and Food Science 22(1), 57-69.
| Crossref | Google Scholar |

Dewhurst RJ, Shingfield KJ, Lee MRF, Scollan ND (2006) Increasing the concentrations of beneficial polyunsaturated fatty acids in milk produced by dairy cows in high-forage systems. Animal Feed Science and Technology 131(3–4), 168-206.
| Crossref | Google Scholar |

Dickhoefer U, Sainz-Sanchez PA, Rojas G, Castro-Montoya JM, Gomez C (2022) Effects of type of concentrate and timing of supplementation on feed intake, nitrogen use, and performance in lactating dairy cows grazing an alfalfa-ryegrass sward. Animals 12(10), 1235.
| Crossref | Google Scholar | PubMed |

Elgersma A (2015) Grazing increases the unsaturated fatty acid concentration of milk from grass-fed cows: a review of the contributing factors, challenges and future perspectives. European Journal of Lipid Science and Technology 117(9), 1345-1369.
| Crossref | Google Scholar |

Gourley CJP, Aarons SR, Powell JM (2012) Nitrogen use efficiency and manure management practices in contrasting dairy production systems. Agriculture, Ecosystems & Environment 147, 73-81.
| Crossref | Google Scholar |

Ison KAD, Barber DG, Benvenutti MA, Kleinitz N, Mayer D, Poppi DP (2019) Defoliation dynamics, pasture intake and milk production of dairy cows grazing lucerne pastures in a partial mixed-ration system. Animal Production Science 60(1), 175-179.
| Crossref | Google Scholar |

Jonker JS, Kohn RA, Erdman RA (1998) Using milk urea nitrogen to predict nitrogen excretion and utilization efficiency in lactating dairy cows. Journal of Dairy Science 81, 2681-2692.
| Crossref | Google Scholar | PubMed |

Kälber T, Meier JS, Kreuzer M, Leiber F (2011) Flowering catch crops used as forage plants for dairy cows: influence on fatty acids and tocopherols in milk. Journal of Dairy Science 94(3), 1477-1489.
| Crossref | Google Scholar | PubMed |

Kauffman AJ, St-Pierre NR (2001) The relationship of milk urea nitrogen to urine nitrogen excretion in Holstein and Jersey cows. Journal of Dairy Science 84(10), 2284-2294.
| Crossref | Google Scholar | PubMed |

Kohn RA, Kalscheur KF, Russek-Cohen E (2002) Evaluation of models to estimate urinary nitrogen and expected milk urea nitrogen. Journal of Dairy Science 85(1), 227-233.
| Crossref | Google Scholar | PubMed |

Kozłowska M, Cieślak A, Jóźwik A, El-Sherbiny M, Gogulski M, Lechniak D, Gao M, Yanza YR, Vazirigohar M, Szumacher-Strabel M (2021) Effects of partially replacing grass silage by lucerne silage cultivars in a high-forage diet on ruminal fermentation, methane production, and fatty acid composition in the rumen and milk of dairy cows. Animal Feed Science and Technology 277, 114959.
| Crossref | Google Scholar |

Kyamanywa N, Tait IM, Mitchell CM, Hedley MJ, Pacheco D, Bishop P (2021) Effect of a late summer diet change from pasture to brassica crop and silages on dairy cow milk production and urinary nitrogen excretion. New Zealand Journal of Agricultural Research 64, 36-55.
| Crossref | Google Scholar |

Mangwe MC, Bryant RH, Beck MR, Fleming AE, Gregorini P (2020) Grazed chicory, plantain or ryegrass–white clover alters milk yield and fatty acid composition of late-lactating dairy cows. Animal Production Science 60, 107-113.
| Crossref | Google Scholar |

Mangwe MC, Mason WA, Reed CB, Spaans OK, Pacheco D, Bryant RH (2024) A systematic review and meta-analysis of cow-level factors affecting milk urea nitrogen and urinary nitrogen output under pasture-based diets. Journal of Dairy Science In press.
| Crossref | Google Scholar |

Mills A, Moot DJ (2010) Annual dry matter, metabolisable energy and nitrogen yields of six dryland pastures six and seven years after establishment. Proceedings of the New Zealand Grassland Association 72, 177-184.
| Crossref | Google Scholar |

Murphy SR, Boschma SP, Harden S (2022) A lucerne-digit grass pasture offers herbage production and rainwater productivity equal to a digit grass pasture fertilized with applied nitrogen. Agricultural Water Management 259, 107266.
| Crossref | Google Scholar |

Orlandi T, Pozo CA, Schiavo J, Oliveira L, Kozloski GV (2020) Impact of a tannin extract on animal performance and nitrogen excretion of dairy cows grazing a tropical pasture. Animal Production Science 60(9), 1183-1188.
| Crossref | Google Scholar |

Pembleton KG, Sathish P (2014) Giving drought the cold shoulder: a relationship between drought tolerance and fall dormancy in an agriculturally important crop. AoB Plants 6, plu012.
| Crossref | Google Scholar |

Pembleton KG, Hills JL, Freeman MJ, McLaren DK, French M, Rawnsley RP (2016) More milk from forage: milk production, blood metabolites, and forage intake of dairy cows grazing pasture mixtures and spatially adjacent monocultures. Journal of Dairy Science 99(5), 3512-3528.
| Crossref | Google Scholar | PubMed |

R Core Team (2020) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria) Available at https://www.R-project.org/

Smith G, Bryant R, Edwards G (2013) Brief Communication: milksolids production of dairy cows grazing lucerne and perennial ryegrass in spring. Proceedings of the New Zealand Society of Animal Production 73, 93-95.
| Google Scholar |

Spek JW, Dijkstra J, van Duinkerken G, Hendriks WH, Bannink A (2013) Prediction of urinary nitrogen and urinary urea nitrogen excretion by lactating dairy cattle in northwestern Europe and North America: a meta-analysis. Journal of Dairy Science 96(7), 4310-4322.
| Crossref | Google Scholar | PubMed |

Stiles DA, Bartley EE, Kilgore GL, Boren FW, Ott RL, Clark JG (1968) Comparative value of afalfa pasture, bromegrass pasture, or alfalfa hay for lactating dairy cows. Journal of Dairy Science 51(10), 1620-1624.
| Crossref | Google Scholar |

Szczechowiak J, Szumacher-Strabel M, El-Sherbiny M, Pers-Kamczyc E, Pawlak P, Cieslak A (2016) Rumen fermentation, methane concentration and fatty acid proportion in the rumen and milk of dairy cows fed condensed tannin and/or fish–soybean oils blend. Animal Feed Science and Technology 216, 93-107.
| Crossref | Google Scholar |

Woodward SL, Waghorn GC, Attwood GC, Li D (2010) Ryegrass to lucerne – effects of dietary change on intake, milk yield and rumen microflora bacteria of dairy cows. Proceedings of the New Zealand Society of Animal Production 70, 57-61.
| Google Scholar |