Evaluation of blood metabolites in dairy cows grazing under two pasture allowances and supplemented with corn silage under restricted grazing conditions

ABSTRACT

This study was conducted to evaluate the influence of management tools - daily pasture allowance and corn silage supplementation - during periods of forage shortage on the metabolism of dairy cows grazing low-mass pasture in temperate regions. Forty lactating Holstein cows were used during an experimental period of seventy days (April 15 to June 23, 2012). Blood metabolites and milk production were determined in fall-calving dairy cows grazing under two daily pasture allowances (PA) (moderate, 17 kg vs. high, 25 kg dry matter (DM)) and supplemented with corn silage (CS) (low, 4.5 kg vs. high, 9.0 kg DM). All cows received 3 kg DM of concentrate. Plasma concentrations of β-hydroxybutyrate (BHBA), non-esterified fatty acids (NEFA), and urea were determined using an automated spectrophotometer, and milk production was electronically measured at each milking time during the trial. The experimental design was completely randomized using a 2 × 2 factorial arrangement of treatments. The increase in daily PA decreased plasma concentrations of BHBA (0.91±0.36 vs. 1.12±0.43 mmol L⁻¹⁾, provided an increase in milk yield (23.18±3.26 vs. 21.99±3.37 kg d⁻¹⁾, and did not modify the concentrations of NEFA and urea. The increased CS supplementation increased mildly the plasma concentrations of BHBA (1.07±0.36 vs. 0.96±0.44 mmol L⁻¹⁾ and NEFA (92.77±54.14 vs. 92.77±55.31 µmol L⁻¹⁾, and decreased the concentrations of urea (4.08±1.40 vs. 4.64±1.30 mmol L⁻¹⁾, but did not change milk production. The positive effect of increasing PA was associated with a high herbage intake, while the lack of response to increasing CS supplementation was attributed to a high substitution of pasture intake (0.9 kg DM pasture/kg DM CS). Low corn silage supplementation is recommended.

Key Words:
dairy cow; grazing system; metabolism; restricted feeding; supplementation

Introduction

It is widely recognized that grazing pasture is the cheapest and most abundant food source for dairy farms in temperate regions (Dillon, 2006). However, the pastures have a marked seasonal variation in production and herbage quality, which affects dry matter (DM) content and nutrient intake (Poff et al., 2011). Particularly, the fall pasture presents a low DM content and herbage mass (<170 g kg⁻¹; ≤1.800 kg DM ha⁻¹, respectively), which limits feed intake (Ruiz-Albarrán et al., 2012). In addition, high crude protein content (200 to 300 g kg⁻¹ DM) and low nonstructural carbohydrates (50 to 250 g kg⁻¹ DM) are present and generate a lack of synchrony in the ruminal degradation of both fractions (Pulido et al., 2010). The foregoing, in addition to the increase of requirements on fall-calving dairy cows, ensures that pasture diets alone are generally insufficient to meet the requirements of dairy cattle (Pérez-Prieto et al., 2011), predisposing the presentation of metabolic-nutritional imbalances (Ingvartsen et al., 2003).

Metabolic profiles are used to evaluate these phenomena in the herd (Payne et al., 1970). The measurement of specific metabolites allows the evaluation of adequacy of the main metabolic pathways associated with energy, protein, and minerals and then provides useful information related to nutrition and animal health to optimize the productive and reproductive potential of cows (Kida, 2003; Macrae et al., 2006).

Metabolic disorders of nutritional origin are common in the first months of lactation, because cows are accompanied by a degree of negative energy balance, increasing the rate of mobilization of lipid reserves and increasing concentrations of NEFA and ketone bodies in blood and milk (Gross et al., 2011; Urdl et al., 2015). During periods of herbage shortage and swards with low herbage mass, to control the presentation of nutritional metabolism imbalances and mitigate the effects of an unbalanced diet based on pasture, the use of supplementary food is necessary to ensure a stable supply in quantity and quality of nutrients, in conjunction with proper grazing management (Bjerre-Harpøth et al., 2012; Barrientos et al., 2013; Morales et al., 2014; Ruiz-Albarrán et al., 2016).

The aim of this study was to determine the effect of pasture allowance (PA) and corn silage (CS) supplementation on energy and protein indicators of metabolism of fall-calving dairy cows in early lactation grazing low-mass pasture in southern Chile.

Material and Methods

This study was approved by the Committee for Animal Use in Research of Universidad Austral de Chile, in accordance with the ethical principles of animal experimentation.

The experiment was conducted in Valdivia, Chile (39°47′ S latitude, and 73°14′ W longitude) at a height of 12 m a.s.l. The soil type corresponded to a series Andisol Valdivia (Typic Hapludand) of flat topography. The experiment lasted 70 days and was conducted in the fall between April and June, 2012.

Forty multiparous Holstein Friesian dairy cows from the dairy herd of the university (milk yield 24.1±2.8 kg d⁻¹; parity 3.5±1.6; days in milk 62.7±14 d; and body weight 538±46 kg) were randomly assigned to four dietary treatments resulting from the combination of two PA above ground level: 17 kg DM cow⁻¹ d⁻¹ (moderate PA) and 25 kg DM cow⁻¹ d⁻¹ (high PA) and two levels of corn silage supplementation: 4.5 kg DM cow⁻¹ d⁻¹ (low CS) and 9.0 kg DM cow⁻¹ d⁻¹ (high CS). All of the cows received 3 kg DM cow⁻¹ d⁻¹ of concentrate supplementation (Table 1). The base concentrate contained, on a DM basis, 493 g kg⁻¹ corn, 300 g kg⁻¹ sugar beet pulp, 115 g kg⁻¹ soybean meal, 46 g kg⁻¹ beet molasses, and 45 g kg⁻¹ mineral mixture, and was offered equally into each milking.

Table 1
Chemical composition of the herbage (moderate and high pasture allowances, PA) and supplements offered throughout the experiment¹

• SD - standard deviation; ME - metabolizable energy; NFC - non-fiber carbohydrates; "D" value - content of digestible organic matter in the dry matter; N-NH₃ - ammonia nitrogen.
• - values not determined.
• ¹
  Data are presented as g kg⁻¹ of dry matter unless otherwise indicated.
• ²
  NFC = 100 − (ash (%) + CP (%) + EE (%) + NDF (%)).
• ³
  Concentrate was prepared especially for this experiment by IANSAGRO S.A.

Grazing took place on a 10.6 ha ryegrass dominant pasture (Lolium perenne) (Table 1), with each treatment herd grazing at the same paddock, but separated by an electric fence according to the corresponding PA. All animals were given access to new pasture after each milking under a rotational grazing system, with two rotations over the duration of this study.

To deliver the PA, pre-grazing compressed sward height was measured daily, using a rising plate meter (Filip's folding plate pasture meter, Jenquip, New Zealand), taking 100 measurements randomly walking the paddocks in a "W" pattern. Then the grazing area was calculated by converting the compressed sward height into kg DM ha⁻¹ using a linear regression equation developed for the fall (Canseco et al., 2009). The same methodology was used to evaluate the post-grazing residual.

The CS was made on the farm (Table 1) and was offered in the pre-milking waiting yard using headlocks, thus avoiding competitiveness between animals, providing 60% of the diet after the morning milking and the remaining before the afternoon milking.

A mineral mix (Ca, 140 g kg⁻¹; P, 100 g kg⁻¹; Mg, 60 g kg⁻¹; Na, 40 g kg⁻¹; S, 2 g kg⁻¹; Zn, 5,000 mg kg⁻¹; Cu, 1,500 mg kg⁻¹; I, 200 mg kg⁻¹; Co, 20 mg kg⁻¹; and Se, 14 mg kg⁻¹⁾ was offered with free access in containers located in the pre-milking waiting yard. Fresh water was also offered ad libitum in the paddocks and in the pre-milking waiting yard.

A decrease in pre-grazing herbage mass along the trial was observed (average 3.069 kg DM ha⁻¹ for May vs. 2.051 kg DM ha⁻¹ for June, respectively).

Cows were milked between 07.00 h and 08.00 h and 15.30 h and 16.30 h and milk yield was electronically measured at each milking time during the trial.

Blood coccygeal samples were obtained on weeks 4, 5, 6, 8, and 9 of the experimental period, following the afternoon milking of all cows (17.00 h). Blood was deposited into labeled tubes of 5 mL containing sodium heparin anticoagulant. Plasma was separated after centrifugation at 800 g for 10 min, aliquoted in microtubes of 1.5 mL and frozen at −20 °C until analyses. After the experimental phase, the plasma samples were thawed and concentrations of BHBA were determined by the NAD-dependent enzymatic UV method (Ranbut^(r), Randox Laboratories, UK), NEFA using the enzymatic colorimetric method (NEFA [non-esterified fatty acids] assay, Randox Laboratories, UK), and urea by GLDH UV by the kinetic method (UREA liquiUV^(r), Human Gesellschaft für Biochemica und Diagnostica mbH, Germany) using an auto-analyzer (Metrolab 2300, Wiener Lab., Argentina).

The experimental design was completely randomized with a 2 × 2 factorial arrangement of treatments to study milk yield and blood metabolites. The normality of the data was established using the Shapiro-Wilk test and homoscedasticity through the Levene test.

Treatments were compared using the Linear Mixed Effect Model procedure with the statistical software IBM^(r) SPSS^(r) Statistics (version 19, IBM SPSS Inc., Chicago, USA). The pairwise comparison between treatments was performed using Bonferroni test with a significance level of 95% (α<0.05). The statistical model used was:

Y_ijkl = μ + α_i + β_j + c_ijk + τ_l+ (αβ)_ij + (ατ)_il + (βτ)_jl + e_ijkl,

in which Y_ijk is the response at time l on animal k of treatment group j in treatment group i; μ is the overall mean; α_i is a fixed effect of treatment i (pasture allowance); β_j is a fixed effect of treatment j (corn silage supplementation); c_ijk is a random effect of animal k of treatment group j in treatment group i; τ_l is a fixed effect of time l; (αβ)_ij is a fixed interaction effect of treatment i with treatment j; (ατ)_il is a fixed interaction effect of treatment i with time l; (βτ)_jl is a fixed interaction effect of treatment j with time l; and e_ijkl is the random error at time l on animal k of treatment group j in treatment group i.

Results

The increase in daily pasture allowance caused a decrease in plasma concentrations of BHBA by 0.21 mmol/L (P<0.001), but did not modify plasma concentrations of NEFA or urea. On the other hand, increasing the corn silage supplementation increased mildly the plasma concentrations of BHBA (P = 0.014) and NEFA (P = 0.031) during the experiment by 0.11 mmol/L and 15.83 µmol/L, respectively, and decreased the plasma concentrations of urea (P<0.001) by 0.56 mmol/L. An interaction on plasma urea concentration was observed in the cows receiving moderate pasture allowance and high corn silage supplementation showing lower plasma urea concentrations (P<0.001), averaging 3.64 mmol/L (Table 2).

Table 2
Means of blood metabolites and milk production of each treatment

• BHBA - β-hydroxybutyrate; NEFA - non-esterified fatty acids; DM - dry matter; SEM - standard error of the mean.
• a,b - values with different letters within a column denote significant differences between treatments (P<0.05).

During the experiment, plasma concentrations of BHBA were above 0.6 mmol/L in all treatments and increased above 1 mmol/L in the last two samplings (Figure 1a and 1d). β-hydroxybutyrate concentrations of moderate PA and high CS remained above the other treatments and were significant in samplings two-five and four, respectively. A difference was observed in the first sampling for NEFA (Figure 1b and 1e) and an increase in NEFA concentrations was found for high pasture allowance in the second sampling but remained stable in the other samples (Figure 1b). The pasture allowance did not affect the urea concentrations (Figure 1c), but high corn silage supplementation significantly decreased the concentrations throughout the experiment (Figure 1f). A decrease between samplings was observed for week three in both treatments.

Figure 1
Weekly variation of the plasma concentrations of BHBA (a,d), NEFA (b,e), and urea (c,f) (X ± SEM) of fall-calving dairy cows grazing under two pasture allowances (●17 kg DM/cow/d and ♦ 25 kg DM/cow/d) and supplemented with corn silage (○ 4.5 kg DM/cow/d and ■ 9.0 kg DM/cow/d).

The increase in the daily pasture allowance resulted in an increase of 1.19 kg d⁻¹ in milk production (P<0.001), whereas the corn silage supplementation had no effect (Table 2).

Discussion

The intensification of dairy production systems associated with the high genetic selection of animals increased milk production per cow, which imposes greater nutritive needs, predisposing the animals to the so-called production diseases (Nir, 2003; Mulligan and Doherty, 2008). These diseases occur due to imbalances between income, biotransformation, and output of metabolites, generating pathophysiological changes (Allen and Piantoni, 2013; Esposito et al., 2014). Unfortunately, most of these diseases are difficult to detect and can limit persistently the production of animals, generating a decline in the profitability of dairy farms (Kossaibati and Esslemont, 1997; Contreras, 1998; Risco and Benzaquen, 2011).

In recent years, the use of blood metabolites has acquired relevance for the study and diagnosis of nutritional imbalances due to its simplicity (Wittwer, 2000; Macrae et al., 2006). In this study, plasma concentrations of BHBA in all treatments were found above the range of normal values for dairy cows (averaging 1.01 mmol/L), which are considered acceptable from 0.1 to 0.6 mmol/L in early lactation (Wittwer, 2012; Raboisson et al., 2014). Otherwise, values ≥0.6 mmol/L of BHBA are considered indicators of negative energy balance, and greater than 1.2 and/or 1.4 mmol/L are indicative of subclinical ketosis (Geishauser et al., 1998; Duffield et al., 2009; Cucunubo et al., 2013). The increase in the daily pasture allowance had a positive effect by decreasing the BHBA concentrations, keeping the values below 1 mmol/L. A similar response was reported by Ruiz-Albarrán et al. (2012), who offered the same pasture allowances in fall-calving dairy cows, averaging 1.33 vs. 1.14 mmol/L, for moderate and high pasture allowances, respectively. The foregoing can likely be attributed to a greater herbage dry matter intake and the opportunity to be more selective consuming higher quality herbage in the cows grazing under a higher PA (Bargo et al., 2003; Morales et al., 2014).

The increase in plasma concentrations of BHBA during the last weeks of the trial was associated with the decrease in herbage mass recorded during that period (≤2,000 kg DM ha⁻¹⁾, probably resulting in a decrease of herbage DM intake and therefore energy intake (Ruiz-Albarrán et al., 2012), highlighting the positive effect of high PA. However, as reported by Morales et al. (2014), the animal productivity, stage of lactation (around 100 days in milk), and the sampling time would not be consistent with cases of subclinical ketosis. Therefore, the high concentrations could be attributed to the time of sampling (17.00 h), when an increase in this metabolite was described in grazing cows (Noro et al., 2012), and to the butyrate content in the corn silage used, and butyric acid produced by the ruminal fermentation after eating, with subsequent metabolization to BHBA and absorption in the rumen wall (Noro et al., 2011). The differences between samplings are explained by the change in herbage mass during the experiment, altering the proportion of pasture and corn silage of the diet, and the physiological diurnal variation of BHBA (Nielsen et al., 2003).

The lack of response to the increase in corn silage supplementation could be attributed to a high substitution of pasture intake (0.9) (Morales et al., 2014), frequently observed in cows grazing low-mass pasture receiving preserved forages (Kellaway and Harrington, 2004; Perez-Prieto et al., 2011). In addition, a null increase in total energy intake could be expected in both treatments, similar to those reported by Mitani et al. (2005). By contrast, Marcolino et al. (2014) reported an increase in milk production when offering 0, 4, and 8 kg DM of corn silage associated with an increase in DM intake, suggesting a maximum of 4 kg DM of supplementation.

The plasma concentrations of NEFA were found within the physiological values in all treatments (averaging 84.8 µmol/L), considering acceptable values <600 µmol/L after calving (Adewuyi et al., 2005; Wittwer, 2012). The lower and stable concentrations are explained by a positive effect of corn silage supplementation on both treatments combined with the days in milk of the cows (only the first sampling was different) (van Knegsel et al., 2007). Moreover, the small increase was associated with high corn silage supplementation. Thomson et al. (2003) reported that NEFA is commonly used to determine nutritional disorders and health status of lactating dairy cows, but they suggested that blood plasma NEFA and triglyceride concentrations may also indicate energy status within physiological range, and that diurnal variations of blood metabolites are almost entirely due to level, frequency, and type of feeding.

The increment during the second sampling in Figure 1b was attributed to a high-producing dairy cow (27.7 kg of milk yield at the start of the experiment), which would have mobilized body reserves to offset the milk production increasing the concentration of the treatment. The observed NEFA values are in agreement with Mitani et al. (2005), who supplemented time-restricted grazing dairy cows with 2 or 4 kg DM of corn silage and did not find differences between treatments, recording NEFA values <200 µmol/L.

The plasma concentrations of urea were found within the reference interval in all treatments (averaging 4.36 mmol/L), considering acceptable values between 2.6 and 7.0 mmol/L (Wittwer, 2000). It corresponds to an end product of protein metabolism, used as a sensitive indicator of crude protein intake and ruminal protein-energy synchrony (Wittwer et al., 1993; Hwang et al., 2001; Melendez et al., 2003). The lower urea concentrations recorded in the high CS treatment are attributed to a better synchrony and utilization of energy and nitrogen release in the rumen, due to the energy intake through the corn silage (Barrientos et al., 2013). Moreover, the supplementation with corn silage allowed a better balance of the protein content of herbage, by diluting the protein concentration in the diet. The opposite effect was reported by Ruiz-Albarrán et al. (2012), who offered the same pasture allowance but supplementing with grass silage. The lower urea values recorded in the interaction between PA and CS supplementation was explained by the carbohydrate fractions of corn silage, which have different rates of ruminal degradations that generate a continuous energy contribution improving the ruminal synchronism with the herbage protein (Kim et al., 1999), similar to grazing cows supplemented with starch concentrate (Barrientos et al., 2013). The lower concentrations of urea in sampling three could not be associated with an effect of treatments, and would be explained by an effect of less protein intake (pasture) (Noro et al., 2011) for animal handling or adverse weather conditions, meaning a lower intake of pasture.

The positive effect in milk production with the increase in pasture allowance can be explained by the higher herbage intake and quality of the selected pasture (Perez-Prieto et al., 2011; Barrientos et al., 2013), whereas the lack of effect of the high supplementation was attributed to a similar total DM intake and energy intake in both treatments (Holden et al., 1995; Mitani et al., 2005; Morales et al., 2014).

Conclusions

Lower urea concentrations are observed when cows graze under moderate pasture allowances and are supplemented with a high amount of corn silage. Both corn silage treatments (low, 4.5 kg, and high, 9.0 kg DM) are sufficient to maintain acceptable concentrations in the metabolites evaluated. Therefore, under restricted grazing conditions, low corn silage supplementation is recommended when cows are receiving a high pasture allowance, to promote a high pasture intake.

Acknowledgments

This study was funded by FONDECYT (project 1100513).

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Publication Dates

• Publication in this collection
  Nov 2016

History

• Received
  20 Jan 2016
• Accepted
  16 July 2016