Skip to main content
Asian-Australasian Journal of Animal Sciences logoLink to Asian-Australasian Journal of Animal Sciences
. 2013 Nov;26(11):1569–1576. doi: 10.5713/ajas.2012.12682

Effect of Vitamin E and Zinc Supplementation on Energy Metabolites, Lipid Peroxidation, and Milk Production in Peripartum Sahiwal Cows

G Chandra *, A Aggarwal, A K Singh, M Kumar 1, R C Upadhyay
PMCID: PMC4093816  PMID: 25049743

Abstract

The study was conducted to evaluate the effect of vitamin E and zinc supplementation on energy metabolites, lipid peroxidation, and milk production in peripartum Sahiwal cows. For this, thirty-two pregnant dry Sahiwal cows were selected at sixty days prepartum and divided into four groups viz control, T1, T2, and T3 of eight each. Group T1 were supplemented with zinc at 60 ppm/d/cow, group T2 were supplemented with vitamin E at 1,000 IU/d/cow and group T3 were supplemented with combination of vitamin E at 1,000 IU/d/cow and zinc at 60 ppm/d/cow during d 60 prepartum to d 90 postpartum. Blood samples were collected on d −60, −45, −30, −15, −7, −3, 0, 3, 7, 15, 30, 45, 60, 90, and 120 with respect to day of parturition and analysed for glucose, non esterified fatty acid, and thiobarbituric acid reactive substance. Body condition score was maintained significantly better (p<0.05) in T3 than in the control, T1 and T2 groups. Overall glucose level was higher (p<0.05) in T3 than control, T1, and T2 groups. Levels of nonesterified fatty acid, and thiobarbituric acid reactive substance were lower (p<0.05) in T3 than control, T1, and T2 groups. Milk yield was higher (p<0.05) in T3 than control, T1, and T2 groups. In conclusion, the present study indicated that the supplementation of vitamin E and zinc in peripartum Sahiwal cows enhanced milk production by reducing negative energy balance.

Keywords: Body Condition Score, Glucose, Nonesterified Fatty Acid, Thiobarbituric Acid Reactive Substance, Sahiwal Cows

INTRODUCTION

The dramatic increase in energy requirements needed for the onset of lactation in transition cows is often accompanied by a decrease in voluntary dry matter intake that causes a negative energy balance. Energy requirements that cannot be met by the diet must then rely on tissue energy reserves. Therefore, negative energy balance during the periparturient period causes mobilization of fat from tissue stores and the release of NEFA into the blood stream. Glucose tends to have an acute dip in concentration around the time of approaching parturition, signifying the increased demands of the foetus and mammary tissue (Grum et al., 1996; Stockdale and Roche, 2002). This is consistent with the drop in feed intake associated with parturition, decreasing the supply of nutrients such as glucose to the cow. There is an inverse relationship between glucose and nonesterified fatty acid (NEFA) (Reist et al., 2000). Blood glucose is depressed during times of elevated NEFA and β-HBA, which is typical of the periparturient period (Ingvartsen and Andersen, 2000). Numerous studies clearly document an association between oxidative stress, elevated serum NEFA concentrations, reduced immunity, and increased disease susceptibility in dairy cattle during the periparturient period (Sordillo and Aitken, 2009; Contreras and Sordillo, 2011).

Dairy cows undergo massive metabolic adaptations during the onset of lactation, and it was postulated that some of these physiological events may negatively impact the health of the dairy cows (Sordillo et al., 2009). Lipid peroxidation is commonly measured in terms of thiobarbituric acid reactive substance (TBARS). Erythrocytes being rich in PUFA and being exposed to high concentration of oxygen are highly susceptible to peroxidation damage (Clemens and Waller, 1987; Balasinska, 2004). Oxidative stress can lead to increase in TBARS (Halliwell and Chirico, 1993), TBARS can induce a reduction of membrane fluidity and increase erythrocyte membrane fragility (Chen and Yu, 1994). The increase of TBARS immediately before and after calving confirms that cows during the transition period are under oxidative stress conditions (Kumaraguruparan et al., 2002; Bernabucci et al., 2005). The determination of lipid peroxidation products allows for the estimation of the intensity of this process; moreover, it can be used for the evaluation of oxidative stress severity (Halliwell and Whiteman, 2004).

Less research work has been done on effect of vitamin E (VE) and zinc (Zn) supplementation on energy metabolites, lipid peroxidation, and milk production in Sahiwal cows during peripartum. Therefore, the present experiment designed to investigate the effect of vitamin E and zinc supplementation on energy metabolites, lipid peroxidation, and milk production in peripartum Sahiwal cows.

MATERIALS AND METHODS

Experiment design and feeding

The experiment was conducted in cattle yard of the National Dairy Research Institute, Karnal, Haryana, India. Thirty-two pregnant Sahiwal cows were selected from the institute herd and randomly divided into four equal groups, 8 cows in each. The cows of all four groups were in similar body weight (409±8.98, 403±9.24, 406±7.91, and 398±7.09 kg control, T1, T2, and T3 groups, respectively), body condition score (BCS) (BCS: 3.00±0.08, 3.02±0.08, 3.03±0.05, and 3.05±0.08 control, T1, T2, and T3 groups, respectively), parity (3.0±0.37, 3.2±0.48, 3.0±0.37, and 3.2±0.31 control, T1, T2, and T3 groups, respectively) and milk yield. All cows of four groups were fed as per standard feeding practices. Each cow was offered 5 kg of green fodder (dry matter (DM) basis), 1 kg of silage (DM basis), and 3 kg of concentrate mixture daily (Table 1). Concentrate mixture contained (in grams per kilogram DM), wheat bran (200), maize (180), groundnut cake (145), barley (145), mustard cake (130), rice polishings (110), deoiled cottonseed cake (60), mineral mixture (20), and common salt (10). Eight cows were kept as control and eight cows were supplemented with zinc (in the form of zinc sulphate heptahydrate) at 60 ppm/d/cow (T1), eight cows were supplemented with vitamin E at 1,000 IU/d/Cow (T2) and other eight cows were supplemented with a combination of vitamin E (in the form of DL-alpha-tocopheryl acetate) at 1,000 IU/d/cow and zinc at 60 ppm/d/cow (T3) from 60 d prepartum to 90 d postpartum. Vitamin E and zinc were accurately weighed daily and mixed with a small amount of concentrate and directly fed to the animals. The cows were kept under open housing system throughout the experiment, but 14 d before the expected date of calving, they were moved to a calving pen. Five days after parturition, the cows were moved to the paddock meant for lactating animals. Green fodder was offered ad libitum and 1 kg of concentrate mixture was given for every 2.5 kg of milk produced.

Table 1.

Approximate daily Vitamin E (mg) zinc (ppm) intake of different groups of Sahiwal cows

Days Group

Control T1 T2 T3




VE Zn VE Zn VE Zn VE Zn
5 kg mixed green fodder 150 25 150 25 150 25 150 25
1 kg silage 6 20 6 20 6 20 6 20
3 kg concentrate mixture 55 140 55 140 55 140 55 140
Supplement 0 0 0 60 1,000 0 1,000 60
Total 211 185 211 245 1,211 185 1,211 245

T1 = Zinc treated group, T2 = Vitamin E treated group, T3 = Zinc+vitamin E treated group.

VE = Vitamin E, Zn = Zinc.

Blood sampling

Blood samples were collected from all cows in morning (6:30 AM) before feeding, by jugular vein puncture on −60, −45, −30, −15, −7, −3, 0, 3, 7, 15, 30, 45, 60, 90, and 120 d in relation to expected date of calving with use of Vacutainer tubes (BD Franklin, USA) containing heparin as anticoagulating agent. Samples were brought to the laboratory in chilled iceboxes soon after collection and centrifuged at 1,200×g at 4°C for 20 min to separate the plasma from packed erythrocytes. Plasma samples were stored at −20°C until analysis of glucose, NEFA, and TBARS. The body condition score (BCS) of cows was established at the beginning of the study and then on the days of blood collection by the same person using a scale of 1 to 5 (Edmonson et al., 1989). Daily milk yield up to 120 d of lactation was recorded.

Sample analysis

Glucose was determined in plasma of cows by “Glucose 96 well assay kit” from Cayman Chemical Company, 1180 East Ellsworth Road Ann Arbour, MI 48108, USA. Intra and inter assay coefficients of variation were 2.54% and 9.35%, respectively.

NEFA was determined in plasma of cows by “Bovine NEFA ELISA kit” from Cusabio Biotech Co., Ltd. China. Intra and inter coefficients of variation were 5.54% and 8.35%, respectively.

TBARS was estimated in plasma of cows by “TBARS 96 well assay kit” from Cayman Chemical Company, 1180 East Ellsworth Road Ann Arbour, MI 48108, USA. Intra and inter coefficients of variation were 4.74% and 9.23%, respectively.

Statistical analysis

Data were analyzed using the MIXED procedure of statistical software package SPSS version 19 (SPSS for windows, V19.0; SPSS Inc., Chicago, IL, USA). Repeated measures on DMI, BCS, energy metabolites (glucose and NEFA), TBARS, and milk yield were analyzed using mixed model analyses. The statistical model was used to estimate sampling day effect, treatment group (vitamin E and zinc supplementation), and their interaction:

Yijk=μ+Ti+Dj+(T×D)ij+eijk

Where, Yijk = dependent variable; μ = overall mean of the population; Ti = mean effect of the treatment group (VE and Zn supplementation) (i = 1,....4); Dj = mean effect of day of sampling (j = 1,.....15) with day as a repeated factor; (T×D)ij = effect of the interaction between effect of treatment group and d of sampling; eijk = unexplained residual element assumed to be independent and normally distributed.

Briefly, the model included group, day, and their interaction as fixed effects, and animal within group as the random effect. The pair-wise comparison of means was carried out using ‘Tukey’s Multiple Range Test’. Different parameters (NEFA, glucose, BCS and TBARS) were correlated with Pearson’s correlation method.

RESULTS

The DMI decreased during prepartum period and was lowest on the day of calving in all the four groups (Table 2). DMI started increasing after parturition due to the need of higher energy for production of milk (Table 2).

Table 2.

Dry matter intake, body condition score, glucose, non esterifies fatty acid (NEFA), thiobarbituric acid substance (TBARS) prepartum, at parturition and postpartum, and milk yield along with p-values of vitamin E and zinc supplemented cows and non supplemented control cows

Parameters Group SEM p-value


Control T1 T2 T3 Group Day Groups×Days
Dry matter intake (kg)
  Prepartum 8.46aA 8.55abA 8.66abA 8.76bA 0.07 <0.001 <0.001 0.986
  At parturition 7.60aB 7.81abB 7.84bB 8.22cB 0.10
  Postpartum 10.92aC 11.14abC 11.09bC 11.29bC 0.11
Body condition score
  Prepartum 3.0aA 3.1bA 3.1bA 3.2cA 0.03 <0.001 <0.001 0.001
  At parturition 2.8aB 2.9bB 2.9bB 3.1cB 0.06
  Postpartum 2.2aC 2.5bC 2.5bC 2.7cC 0.03
Glucose (mg/dL)
  Prepartum 48.31aA 50.85aA 51.04abA 53.73bA 1.36 <0.001 <0.001 1.000
  At parturition 35.87aB 40.13bB 39.24bB 45.27cB 1.44
  Postpartum 43.69aC 48.31bA 48.52bA 51.37cA 0.96
NEFA (μM)
  Prepartum 138.96aA 123.26abA 124.08abA 110.93bA 8.09 <0.001 <0.001 0.909
  At parturition 274.90aB 257.64bB 264.77bB 219.42cB 21.22
  Postpartum 275.72aB 230.90bC 224.91bC 178.32cC 12.62
TBARS (μM)
  Prepartum 1.62A 1.34A 1.36A 1.25A 0.10 <0.001 <0.001 1.000
  At parturition 2.43aB 2.04aB 1.99aB 1.71bB 0.31
  Postpartum 3.01aC 2.46bC 2.41bC 1.96cC 0.13
Milk yield (kg) 6.86a 7.75b 7.78b 8.57c 0.65 <0.001 <0.001 1.000

Mean±SE with different superscript in small letter in a row and capital letter in column differ significantly (p<0.05).

T1 = Zinc treated group, T2 = Vitamin E treated group, T3 = Zinc+vitamin E treated group

Changes of BCS in each of the 4 groups of cows are reported in Figure 1. At the beginning of the study (d 60 prepartum), BCS was similar in all the cows (BCS: control 3.0±0.08, T1 3.0±0.08, T2 3.0±0.05, and T3 3.0±0.08). The control group showed higher (p<0.05) BCS reduction during pre and postpartum period of study.

Figure 1.

Figure 1.

Changes in body condition score (BCS) during pre and postpartum period in control, T1 (zinc treated), T2 (vitamin E treated) and T3 (zinc+vitamin E treated) groups.

Changes of glucose in each of the 4 groups of cows are reported in Figure 2. Plasma concentration of glucose began to decrease steadily from 60 d before calving and reached minimum on d 3 postpartum in all four groups, which showed a decrease of 37.63%, 31.01%, 32.05%, and 22.18% in control, T1, T2, and T3 groups, respectively. Plasma glucose levels were higher (p<0.05) in T3 than its levels in control, T1, and T2, groups on all days of pre and postpartum except d 45, 60 prepartum, and d 120 postpartum. Plasma glucose showed higher (p<0.05) values prepartum compared with level registered at parturition and postpartum in all the four groups, whereas, pre and postpartum plasma glucose levels was nearly similar in T1, T2, and T3 groups cows (Table 2).

Figure 2.

Figure 2.

Changes in plasma glucose during pre and postpartum period in control, T1 (zinc treated), T2 (vitamin E treated) and T3 (zinc+vitamin E treated) groups.

During postpartum and on the day of parturition, plasma NEFA was observed to be significantly (p<0.05) lower in T3 than its level in control, T1, and T2 groups (Table 2). On the day of parturition plasma NEFA levels were higher (p<0.05) than values observed during pre and postpartum period in all four groups except in control where values observed during postpartum and on the day of parturition was nearly similar (Table 2). Plasma NEFA levels began to increase slightly from 60 d before calving and reached to maximum level at d 3 postpartum, observed higher (p<0.05) in control than T1, T2, and T3 groups. After calving the level decreased up to d 120 postpartum in all the groups, but decreasing levels was observed to be lower in control followed by T1, T2, and T3. Plasma NEFA level was increased to 289.21%, 274.02%, 240.75% and 203.54% on d 3 postpartum in comparison to its level on 60 d prepartum in control, T1, T2, and T3 groups, respectively (Figure 3). NEFA was negatively correlated with glucose (p<0.01, r = −0.53) and positively correlated with BCS decline (p<0.05, r = 0.44).

Figure 3.

Figure 3.

Changes in plasma non esterifies fatty acid (NEFA) during pre and postpartum period in control, T1 (zinc treated), T2 (vitamin E treated) and T3 (zinc+vitamin E treated) groups.

Plasma TBARS began to increased slightly from 60 d before calving and reached maximum at d 30 postpartum in control whereas maximum at 15 d postpartum in T1, T2, and T3 groups. After that value decreased up to d 120 postpartum in all four groups, but decreasing level was observed lower in control followed by T1, T2, and T3 groups (Figure 4). Plasma TBARS levels were found higher (p<0.05) in T3 than control, T1, and T2 groups, in its levels on all days of pre and postpartum except d 45 and 60 pre-partum. Plasma TBARS showed lower (p<0.05) values during pretpartum compared with those observed during parturition and postpartum period in all four groups. But postpartum plasma TBARS level was lower (p<0.05) in T3 compared with those observed in T1, T2, and control groups (Table 2). TBARS was negatively correlated with BCS (p<0.01, r = −0.41).

Figure 4.

Figure 4.

Changes in plasma thiobarbituric acid reactive substance (TBARS) during pre and postpartum period in control, T1 (zinc treated), T2 (vitamin E treated) and T3 (zinc+vitamin E treated) groups.

The overall value of milk yield was observed higher (p<0.05) in T3 in comparison to its level in control, T1, and T2 groups (Table 2). Overall milk yield increased by 12.97%, 13.41%, and 24.93% in T1, T2, and T3 groups, respectively, in comparison to control.

DISCUSSION

DMI is influenced by stage of transition phase, body condition score and parity (Hayirli et al., 2002). Most cows consume more DMI during first three weeks after calving (Ingvartsen and Andersen, 2000). In the present experiment, DMI decreased around peripartum due to significant (p<0.05) increase in oxidative stress around calving as also observed by Castillo et al. (2005) and Grummer et al. (2004). DMI increased (p<0.05) in VE supplemented group in comparison to non supplemented group during periparturient period (Chandra and Aggarwal, 2010).

Adipose tissue mobilization typically begins prepartum with the commonly observed intake depression during the last 3 wks of gestation (Bertics et al., 1992). It has been hypothesized that cows with less body condition will sustain intake longer and experience an abrupt drop in DMI just prior to calving (Hayirli et al., 2002). Tissue mobilization is usually most active from 14 d prepartum to 35 d postpartum (Komaragiri et al., 1998). Park et al. (2010) demonstrated the importance of appropriate nutrition during this period to minimize loss of body condition. Maurya (2011) reported that VE and Zn supplementation during dry period and early lactation minimised the loss of body condition, as found in our experiment.

In present study, plasma glucose levels were found to decrease towards calving and decrease was more at calving and then increased slightly after few days of calving. Similar changes in glucose level during periparturient period were also reported by others (Dann et al., 2005; Maurya, 2011; Chandra et al., 2012). Propionate production from the low DMI during the early postpartum period is insufficient to synthesize the total amount of glucose needed. Therefore, the concentration of glucose decreased following parturition as observed in our studies. Plasma glucose concentration are important energy metabolites and higher concentrations in treatment groups could be due to more feed intake attributed to VE and thus higher levels of glucose (LeBlanc et al., 2004). Around parturition glucose concentration decreased and NEFA concentration increased due to lipolysis, which acts as alternative energy source (Shehab-El-Deen et al., 2010). This is supported by the significant negative correlation coefficient between glucose and NEFA concentration found in the present study.

Bernabucci et al. (2005) reported that peripartum cows with elevated plasma NEFA levels also had higher plasma levels of reactive oxygen metabolites, but lower levels of antioxidants. Positive correlations was observed between BCS decline, plasma NEFA levels, and increased incidence of health problems in dairy cattle as a consequence of accelerated BCS drop during the transition period (Buckley et al., 2003; Kim and Suh, 2003). Concentration of NEFA was lower in vitamin E and zinc treated groups in comparison to control groups, also reported by Bouwstera et al. (2008), Maurya (2011), and Chandra et al. (2012). As NEFA concentrations elevated, there was increased disease susceptibility in dairy cattle during the periparturient period (Sordillo and Aitken, 2009; Contreras and Sordillo, 2011).

Thiobarbituric acid reactive substances (TBARS) is an indicative of lipid peroxidation and increased levels after calving indicates the imbalance between oxidants and antioxidants (Bernabucci et al., 2005; Castillo et al., 2005; Bouwstra et al., 2010). The increase in TBARS level after calving was in accordance with reports given by Halliwell and Chirico (1993) and Bernabucci et al. (2002). They observed that the oxidative stress leads to increase in erythrocyte TBARS. The increase of TBARS before and after calving indicates that periparturient cows were under oxidative stress (Balasinska, 2004; Halliwell and Whiteman, 2004). In the present study lipid peroxidation (plasma MDA production) was higher in early lactating cows than advanced pregnant cows, which was nearly double. The findings of our study are in corroboration with the reports of Saleh et al. (2007) and Sordillo et al. (2007); they used TBARS values as a marker of lipid peroxidation in cattle. Oxidative stress in cows is a contributory factor to increase disease susceptibility (Sordillo, 2005), since metabolic demands associated with late pregnancy, parturition and initiation of lactation would be expected to increase the production of reactive oxygen species (ROS), resulting oxidative stress. In the present study TBARS concentration was lower in VE and Zn treated groups than control as also observed by Maurya (2011), which was probably due to the vitamin E and zinc neutralize the formation of ROS during pre and postpartum. The lower levels of TBARS in VE treated group was also supported by Bouwstra et al. (2010).

In the present experiment, the milk yield was found to be higher in T3 followed by T2, T1 and control indicating that VE and Zn supplementation increased the milk yield. This was attributed to increase in DMI and decrease in the incidence of subclinical and clinical mastitis in VE and Zn supplemented groups (Chawla and Kaur, 2004; Maurya, 2011). Griffiths et al. (2007), supplementing cows with CTM (providing daily 360 mg Zn, 200 mg Mn, 125 mg Cu as amino acid complexes and 12 mg cobalt (Co) from Co glucoheptonate) resulted in a 6.3% increase in milk production. Increase in milk production might be partially attributed to role of Zn in the cell division and protein synthesis, as increasing Zn can improve integrity of epithelial tissue, such as teats and udder tissue (Sobhanirad et al., 2010).

The number of mastitis cases was 4, 1, 0, and 0 in control, T1, T2, and T3 groups, respectively. In present experiment VE and Zn supplementation reduced the mastitis cases, as also reported by Maurya (2011). In general, free radicals cause cell damage and might influence the functions of immune cells resulting in increased mastitis risk (Politis et al., 2004; Sordillo and Aitken, 2009). Bouwstra et al. (2010) found that cows that developed clinical mastitis in early lactation had higher levels of ROM and MDA two week prepartum.

The numbers of animals having retained fetal membrane were 4, 1, 1 and 0 in control, T1, T2 and T3 groups, respectively. Miller et al. (1993) suggested that cows with retained placenta had lower total antioxidant status. Panda et al. (2006) reported 17% reduction in RFM in VE supplemented in comparison to non supplemented group. This effect is consistent with findings from a meta-analysis of other studies of the effect of VE supplementation on RFM (Bourne et al., 2008).

The number of post partum metritis cases was 4, 1, 1 and 0 in the respective four groups. The number of days required to recover from metritis were 18.5, 15.0 and 7.0 in T1, T2 and T3 groups, respectively. Significant effect on the incidence of metritis in cows was reported by giving 3,000 IU VE injections, 8 to 15 d before parturition (Erskine et al., 1997). Vitamin E supplementation during dry period also reduced the cases of metritis in crossbred cows (Bourne et al., 2008; Chandra and Aggarwal, 2010).

Vitamin E and zinc supplementation increased the DMI, glucose level, and milk yield, whereas, lowers the level of non esterified fatty acid, and thiobarbituric acid reactive substance and maintained the body condition score in peripartum Sahiwal cows.

Acknowledgments

The authors would like to thank the Director, NDRI, Karnal for providing the facilities for the execution of this work. We are grateful to Department of Biotechnology (DBT), New Delhi and ‘NICRA’ for financial support.

REFERENCES

  1. Adewuyi AA, Gruyse E, van Eerdenburg FJ. Non-esterified fatty acids (NEFA) in dairy cattle: A review. Vet Q. 2005;27:117–126. doi: 10.1080/01652176.2005.9695192. [DOI] [PubMed] [Google Scholar]
  2. Balasinska B. Evaluation of antioxidant status in living organisms. Med Weter. 2004;60:579–583. [Google Scholar]
  3. Bernabucci U, Ronchi B, Lacetera N, Nardone A. Markers of oxidative status in plasma and erythrocytes of transition dairy cows during hot season. J Dairy Sci. 2002;95:2173–2179. doi: 10.3168/jds.S0022-0302(02)74296-3. [DOI] [PubMed] [Google Scholar]
  4. Bernabucci U, Ronchi B, Lacetera N, Nardone A. Influence of body condition score on relationships between metabolic status and oxidative stress in periparturient dairy cows. J Dairy Sci. 2005;88:2017–2026. doi: 10.3168/jds.S0022-0302(05)72878-2. [DOI] [PubMed] [Google Scholar]
  5. Bertics S, Grummer R, Cadorniga-Valino C, Stoddard E. Effect of Prepartum dry matter intake on liver triglyceride concentration and early lactation. J Dairy Sci. 1992;75:1914–1922. doi: 10.3168/jds.S0022-0302(92)77951-X. [DOI] [PubMed] [Google Scholar]
  6. Bourne N, Wathes DC, Lawrence KE, McGowan M, Laven RA. The effect of parenteral supplementation of vitamin E with selenium on the health and productivity of dairy cattle in the UK. Vet J. 2008;177:381–387. doi: 10.1016/j.tvjl.2007.06.006. [DOI] [PubMed] [Google Scholar]
  7. Bouwstra RJ, Nielen MJ, Newbold R, Jansen EHJM, Jelinek HF, van Werven T. Vitamin E supplementation during the dry period in dairy cattle. Part II: Oxidative stress following vitamin E supplementation may increase clinical mastitis incidence postpartum. J Dairy Sci. 2010;93:5696–5706. doi: 10.3168/jds.2010-3161. [DOI] [PubMed] [Google Scholar]
  8. Bouwstra RJ, Goselink RMA, Dobbelaar P, Nielen M, Newbold JR, Werven T. The relationship between oxidative damage and vitamin E concentration in blood, milk and liver tissue from vitamin E supplemented and non supplemented periparturient heifers. J Dairy Sci. 2008;91:977–987. doi: 10.3168/jds.2007-0596. [DOI] [PubMed] [Google Scholar]
  9. Boyle NO, Corl CM, Gandy JC, Sordillo LM. Relationship of body condition score and oxidant stress to tumor necrosis factor expression in dairy cattle. Vet Immunol Immunopathol. 2006;113:297–304. doi: 10.1016/j.vetimm.2006.05.013. [DOI] [PubMed] [Google Scholar]
  10. Buckley F, O’Sullivan K, Mee JF, Evans RD, Dillon P. Relationships among milk yield, body condition, cow weight and reproduction in spring-calved Holstein-Friesians. J Dairy Sci. 2003;86:2308–2319. doi: 10.3168/jds.S0022-0302(03)73823-5. [DOI] [PubMed] [Google Scholar]
  11. Castillo C, Hernandez J, Bravo A, Lopez-Alonso M, Pereira V, Benedito JL. Oxidative status during late pregnancy and early lactation in dairy cows. Vet J. 2005;169:286–292. doi: 10.1016/j.tvjl.2004.02.001. [DOI] [PubMed] [Google Scholar]
  12. Chandra G, Aggarwal A. Changes in TNF-α levels, metabolic status, milk yield and composition in α-tocopherol acetate supplemented high body condition periparturient crossbred cows during different seasons. International conference on physiological capacity building in livestock under changing climate scenario. 2010;II:85. (Abstr) [Google Scholar]
  13. Chandra G, Aggarwal A, Singh AK, Kumar M. TNF-α level and metabolic status in α-tocopherol acetate supplemented high body condition periparturient crossbred cows during summer and winter season. Indian J Anim Sci. 2012;82:999–1003. [Google Scholar]
  14. Chawla R, Kaur H. Plasma antioxidant vitamin status of periparturient cows supplemented with α-tocopherol and β-carotene. Anim Feed Sci Technol. 2004;114:279–285. [Google Scholar]
  15. Chen JJ, Yu BP. Alteration in mitocondrial membrane fluidity by lipid peroxidation products. Free Radic Biol Med. 1994;17:411–418. doi: 10.1016/0891-5849(94)90167-8. [DOI] [PubMed] [Google Scholar]
  16. Clemens MC, Waller HD. Lipid peroxidation in erythrocytes. Chem. Phys. Lipids. 1987;45:251–268. doi: 10.1016/0009-3084(87)90068-5. [DOI] [PubMed] [Google Scholar]
  17. Contreras GA, Sordillo LM. Lipid mobilization and inflammatory responses during the transition period of dairy cows. Comp Immunol Microbiol Infect Dis. 2011;34:281–289. doi: 10.1016/j.cimid.2011.01.004. [DOI] [PubMed] [Google Scholar]
  18. Dann HM, Morin DE, Bollero GA, Murphy MR, Drackley JK. Prepartum intake, postpartum induction of ketosis, and periparturient disorders affect the metabolic status of dairy cows. J Dairy Sci. 2005;88:3249–3264. doi: 10.3168/jds.S0022-0302(05)73008-3. [DOI] [PubMed] [Google Scholar]
  19. Edmonson AJ, Lean IJ, Weaver LD, Farver T, Webster G. A body condition scoring chart for Holstein dairy cows. J Dairy Sci. 1989;72:68–78. [Google Scholar]
  20. Erskine RJ, Bartlett PC, Herdt T, Gaston P. Effects of parenteral administration of vitamin E on health of periparturient dairy cows. J Am Vet Med Assoc. 1997;211:466–469. [PubMed] [Google Scholar]
  21. Griffiths LM, Loeffler LH, Socha MT, Tomlinson DJ, Johnson AB. Effects of supplementing complexed zinc, manganese, copper and cobalt on lactation and reproductive performance of intensively grazed lactating dairy cattle on the south island of New Zealand. Anim Feed Sci Technol. 2007;137:69–83. [Google Scholar]
  22. Grum D, Drackley J, Younker R, LaCount D, Veenhuizen J. Nutrition during the dry period and hepatic lipid metabolism of periparturient dairy cows. J Dairy Sci. 1996;79:1850–1864. doi: 10.3168/jds.S0022-0302(96)76553-0. [DOI] [PubMed] [Google Scholar]
  23. Grummer RR, Mashek DG, Hayırlı A. Dry matter intake and energy balance in the transition period. Vet Clin North Am Food Anim Pract. 2004;20:447–470. doi: 10.1016/j.cvfa.2004.06.013. [DOI] [PubMed] [Google Scholar]
  24. Halliwell B, Chirico S. Lipid peroxidation: its mechanism, measurement, and significance. Am J Clin Nutr. 1993;57:715–724. doi: 10.1093/ajcn/57.5.715S. [DOI] [PubMed] [Google Scholar]
  25. Halliwell B, Whiteman M. Measuring reactive species and oxidative damage in vivo and in cell culture: how should you do it and what do the results mean? Br J Pharmacol. 2004;142:231–255. doi: 10.1038/sj.bjp.0705776. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Hayirli A, Grummer RR, Nordheim EV, Crump PM. Animal and dietary factors affecting feed intake during the pre-fresh transition period in Holsteins. J Dairy Sci. 2002;85:3430–3443. doi: 10.3168/jds.S0022-0302(02)74431-7. [DOI] [PubMed] [Google Scholar]
  27. Ingvartsen KL, Andersen JB. Integration of metabolism and intake regulation: a review focusing on periparturient animals. J Dairy Sci. 2000;83:1573–1597. doi: 10.3168/jds.S0022-0302(00)75029-6. [DOI] [PubMed] [Google Scholar]
  28. Kim IH, Suh GH. Effect of the amount of body condition loss from the dry to near calving periods on the subsequent body condition change, occurrence of postpartum diseases, metabolic parameters and reproductive performance in Holstein dairy cows. Theriogenology. 2003;60:1445–1456. doi: 10.1016/s0093-691x(03)00135-3. [DOI] [PubMed] [Google Scholar]
  29. Komaragiri MV, Casper DP, Erdman RA. Factors affecting body tissue mobilization in early lactation of body fat and protein. J Dairy Sci. 1998;81:169–175. doi: 10.3168/jds.S0022-0302(98)75564-X. [DOI] [PubMed] [Google Scholar]
  30. Kumaraguruparan R, Subapriya R, Kabalimoorthy J, Nagini S. Antioxidant profile in the circulation of patients with fibroadenoma and adenocarcinoma of the breast. Clin Biochem. 2002;35:275–279. doi: 10.1016/s0009-9120(02)00310-7. [DOI] [PubMed] [Google Scholar]
  31. LeBlanc SJ, Herdt TH, Seymour WM, Duffield TF, Leslie KE. Peripartum serum vitamin E, retinol, and β-carotene in dairy cattle and their associations with disease. J Dairy Sci. 2004;87:609–619. doi: 10.3168/jds.S0022-0302(04)73203-8. [DOI] [PubMed] [Google Scholar]
  32. Maurya P. NDRI (deemed University); Karnal, India: 2011. Leptin level in relation to immunity, energy metabolites and cellular adoptations during dry period and early lactation in crossbred cows. M.V.Sc. Thesis. [Google Scholar]
  33. Miller JK, Brzezinska-Slebodzinska E, Madsen FC. Oxidative stress, antioxidants, and animal function. J Dairy Sci. 1993;76:2812–2823. doi: 10.3168/jds.S0022-0302(93)77620-1. [DOI] [PubMed] [Google Scholar]
  34. Panda N, Kaur H, Mohanty TK. Reproductive Performance of dairy buffaloes supplemented with varying levels of vitamin E. Asian-Aust. J Anim Sci. 2006;19:19–25. [Google Scholar]
  35. Park AF, Shirley JE, Titgemeyer EC, Cochran RC, DeFrain JM, Wickersham EE, Johnson DE. Characterization of plasma metabolites in Holstein dairy cows during the periparturient period. Int J Dairy Sci. 2010;5:253–263. doi: 10.1111/j.1439-0396.2010.01085.x. [DOI] [PubMed] [Google Scholar]
  36. Politis I, Bizelis I, Tsiaras A, Baldi A. Effect of vitamin E supplementation on neutrophil function, milk composition and plasmin activity in dairy cows in a commercial herd. J Dairy Res. 2004;71:273–278. doi: 10.1017/s002202990400010x. [DOI] [PubMed] [Google Scholar]
  37. Reist M, Koller A, Busato A, Kupfer U, Blum J. First ovulation and ketone body status in the early postpartum period of dairy cows. Theriogenology. 2000;54:685–701. doi: 10.1016/S0093-691X(00)00383-6. [DOI] [PubMed] [Google Scholar]
  38. Saleh M, Salam A, MEL Mileegy IMH. Oxidative antioxidant status during transition from late pregnancy to early lactation in native and cross bred cows in the Egyptian oasis. Assiut Vet Med J. 2007;53:113. [Google Scholar]
  39. Shehab-El-Deen MAMM, Fadel MS, Soom AV, Sherif YS, Maes D, Leroy MR, Jo L. Circadian rhythm of metabolic changes associated with summer heat stress in high-producing dairy cattle. Trop Anim Health Prod. 2010;42:1119–1125. doi: 10.1007/s11250-010-9534-1. [DOI] [PubMed] [Google Scholar]
  40. Sobhanirad S, Carlson D, Kashani RB. Effect of zinc methionine or zinc sulfate supplementation on milk production and composition of milk in lactating dairy cows. Biol Trace Elem Res. 2010;136:48–54. doi: 10.1007/s12011-009-8526-3. [DOI] [PubMed] [Google Scholar]
  41. Sordillo LM, Aitken SL. Impact of oxidative stress on the health and immune function of dairy cattle. Vet Immunol Immunopathol. 2009;128:104–109. doi: 10.1016/j.vetimm.2008.10.305. [DOI] [PubMed] [Google Scholar]
  42. Sordillo LM, Contreras GA, Aitken SL. Metabolic factors affecting the inflammatory response of periparturient dairy cows. Anim Health Res Rev. 2009;10:53–63. doi: 10.1017/S1466252309990016. [DOI] [PubMed] [Google Scholar]
  43. Sordillo LM, O’Boyle N, Gandy JC, Corl CM, Hamilton E. Shifts in thioredoxin reductase activity and oxidant status in mononuclear cells obtained from transition dairy cattle. J Dairy Sci. 2007;90:1186–1192. doi: 10.3168/jds.S0022-0302(07)71605-3. [DOI] [PubMed] [Google Scholar]
  44. Stockdale C, Roche J. A Review of the energy and protein nutrition of dairy cows through their dry period and its impact on early lactation performance. Aust J Agric Res. 2002;53:737–753. [Google Scholar]

Articles from Asian-Australasian Journal of Animal Sciences are provided here courtesy of Asian-Australasian Association of Animal Production Societies (AAAP)

RESOURCES