Submitted24-12-2019|
Accepted28-05-2020|
First Online 18-06-2020|
ABSTRACT
INTRODUCTION
In order to maintain efficient production and normal health of animals, it is necessary to deliver essential minerals, protein and energy. Minerals play a vital role in the production and health of the animals. It is also essential to have a proper ratio of these minerals in the feeds and animal body because an improper ratio between these minerals interferes with the absorption of another one thereby resulting in a deficiency. Moreover, dairy animals commonly suffer from nutritional deficiencies due to high production and deficient feeding ultimately leading to poor reproductive performance.
In the tropics, it was found that mineral deficiency or imbalances lead to poor production, decreased immunity and reproduction problems among grazing ruminants (Sharma et al., 2002a; Kumar et al., 2005b). Complex inter-relationships exist between certain micronutrients, immune function and disease resistance in cattle (Prasad and Gowda, 2005). Mineral supplementations are known to improve feed intake and digestibility of feeds resulting in increased dairy animal performance. Animal mineral feed mixture supplementation is essential where the dietary concentrations are highly inconsistent due to seasonal variation, location and forage species and in increased demands such as lactation, pregnancy and rapid growth (Tashi et al., 2005).
In Ethiopia in general and in study area in particular, there is a gap between the total number of dairy animals and per head production and productivity of dairy animals. One of the main reasons for this low productivity might be mineral nutrient deficiency and unbalanced feeding. There was also no previous study on dairy feed mineral contents and mineral status of blood in dairy cattle in the study area. The present investigation was undertaken to assess serum level of some selected minerals in crossbred dairy cows and to evaluate the effect of season and location on serum level of these minerals in urban and peri-urban production systems of Ada’a and Adama districts of Oromia region, Ethiopia.
MATERIALS AND METHODS
The study was conducted in urban and peri-urban production systems of Ada’a and Adama districts in East Shoa Zone. The study zone extends between 7°33’50’’N-9°08’56’’ N and 38°24’10’’E-40° 05’34’’E with a total area of approximately 10241 km2. Ada’a district is located at 08°442 E latitude and 38°582 N longitude with an altitudinal range of 1540-3100 m a. s. l. (AWAO 2009). The largest portion (95%) of the district has mid highland agro-climate and the remaining portion (5%) has highland agro-climate. Mean annual temperatures range from about 8°C to 28°C (Alemayehu et al., 2012). Adama district is located at 8°33’35’’N-8°36’46’’ N latitude and 39°11’57’’ E - 39°21’15’’ E longitude about 99 km Southeast of Addis Ababa (CSA 2005). It is situated at an altitude ranging from 1400 to 2700 m. a. s. l. The area receives an average annual rainfall ranging from about 600 to 1150 mm, which is erratic in nature. There is a significant seasonal variation for rainfall. More than 67% of the mean annual rainfall occurs in the four rainy (Wet) months: June, July, August and September (ADARDO 2013). Some additional rains (about 23%) occur in the remaining dry months with mean monthly values of rainfall as low as zero millimetres. The minimum and maximum daily temperatures of the area are 12 and 33°C, respectively (NMSA, 2013).
Study animals and sample size determination
The multistage sampling method was employed to select the study sample units, which were expected to be representative of the whole population, found in the study area. The sampling frame comprises those farmers keeping crossbred dairy cows and willing to participate in the study. A total of 240 households were included in the study according to the formula given by (Arsham (2002). Among those representative households a total of (60) farm households were purposively selected in each season (dry and wet) to attain each farm households consisted of two dairy cows each (one lactating and the other dry cow) which have a total of 240 (120 each season) cows that were one dry pregnant (8-9 months of pregnancy) and one lactating cow (30-105 days after birth/early lactation period). Sampling dairy cows were Holstein dairy cows (4-6 years old) both lactating and dry dairy cows from urban and peri-urban areas of Ada’a and Adama districts. Therefore, districts and kebeles in each urban and peri-urban study area were selected purposively based on the concentration of dairy farms and the willingness of farmers. Blood was collected once in a dry season and the other in the wet season. In general, 120 blood samples were collected in the dry season (from January to February/2017) and the other 120 blood samples were collected in the wet season (from July to August/2017). Data collection was held from January to August/2017.
Blood collection, serum separation and mineral analysis
About 10 ml of blood was collected from the jugular vein in a sterile vacutainer test tube without anti-coagulant (Charles and Fredeen, 1999). The test tubes containing blood samples were transported to the laboratory and kept for 2 to 3 hrs (Herdt et al., 2000) in a slanting position at room temperature without disturbing the tubes and were centrifuged (at 3000 rpm for 10 min). Then 2 ml serum was collected into cryovials and stored in a deep freezer (-20°C) until processed. The blood samples were collected from urban and peri-urban farms of respective districts.
Digestion of serum
The serum samples were digested as per the procedure described by Kolmer et al., (1951). Briefly, 3 ml of serum was mixed with 3ml of concentrated HNO3 in the tube. The mixtures were kept overnight at room temperature and digested by heat at a temperature of 70-80°C until the volume of samples was reduced to about 1 ml. Then, 3 ml of the double acid mixture (3 part concentrated HNO3 and 1 part 70% HClO4) was added and low heat digestion continued until the digested samples became clear and emitted white fumes. The addition of 3 ml double acid mixture followed by low heat digestion was repeated a couple of times. Further heating was continued to reduce the volume to approximately 0.5 ml. The final volume of the filtrate was made upto 10 ml with triple distilled deionized water after luke warming the solution (Kolmer et al., 1951).
While digesting of the serum samples, simultaneous digestion of reagent blank was undertaken and the final volume was similarly made up to 10 ml to have blank. All glassware and microwave vessels were pre-rinsed with diluted HNO3. Quality control programs were used throughout mineral analyses. All the samples were analyzed for calcium (Ca), phosphorus (P), magnesium (Mg), copper (Cu), zinc (Zn), iron (Fe), cobalt (Co), using Inductively Coupled Plasma-Optical Emission Spectroscopy, Agilent Technologies 200 series AA. Phosphorus concentration in serum samples (Fiske and Subbarow, 1925) was determined with photoelectric colorimeter, based on UV-end point method using phosphorus reagent and standard, which reacts to form phosphomolybdate complex. Instrument was set at zero with blank at DZARC and/or HARC in Ethiopia.
The analysis of serum mineral concentration data was conducted with the aid of Statistical Analysis System (SAS, 2002). The mean mineral concentration of serum from lactating and dry cows of two districts from respective urban and peri-urban production systems were compared statistically using General Liner Model (GLM) procedure of SAS. Mean separation for mineral element concentrations of serum was compared using Tukey’s-test and significance level were considered at P<0.05.
Blood sample ANOVA model: The response (dependent) variable is the concentration minerals blood parameters (Ca, P, Mg, Fe, Cu, Zn and Co) as affected by independent variables which was expressed as continuous data. The explanatory variables may be physiological state (dry, lactating), production system (urban, periurban) and season of data collected (dry, wet).
Model serum sample lab analysis:
yijlt = µ+αi+ sj + dl + pt + eijlt
Where,
yijlt = measured data (Ca, Mg, P, Cu, Fe, Zn, Co) for blood
µ = overall mean;
αi = effect of jth physiological state (1,2 );
sj = effect of jth season (1,2);
dl = effect of lth district (1,2);
pt = effect of tth Production system (1,2);
eijlt = the random error associated to the ijltth observation
RESULTS AND DISCUSSION
The overall serum Ca concentration in lactating cows was 0.080±0.002g/L in the dry season and 0.083±0.002g/L in the wet season in urban and peri-urban areas of the two districts. For dry cows, the overall serum Ca concentration was 0.080±0.002gm/L in the dry season and 0.082±0.002g/L in the wet season in urban and peri-urban areas of two districts (details of serum Ca concentration for individual district and production was indicated in Table 1). Overall percentage of Ca deficiency based on the critical level of Ca (23.34, 29.32%); (23.34, 18.54%) for lactating cows and (7.12, 8.32%); (11.13, 6.34) for dry cow were deficient in Ca. Likewise, seasonally Ca (26.67, 21.67%); (31.67, 27.67%) for dry season and (11.67, 26.67%); (34.67, 16.67%) for wet season urban and periurban respective districts of Adaa and Adama zuria districts (Table 3,4). Furthermore, among the sampled dairy animals almost the majority of the dairy cow’s laboratory result indicated that the serum Ca level said to be found on the borderline.
For dry cows, the overall serum P concentration was 0.037±0.001 g/L in dry season and 0.037±0.001 g/L in wet season while for lactating cows the cows dry season overall serum P concentration was 0.037±0.001 g/L and the wet season overall serum P concentration was 0.040±0.001 g/L in urban and peri-urban areas of the two districts (for details of mean serum P concentration for individual district and cow physiologic state see Table 1). Overall percentage of P deficiency based on the critical level (49.23, 32.33%); (29,37, 26.12%) for lactating cows and (16.14, 0%); (17.43, 12.44%) for dry cow were deficient in P. Likewise, seasonally P (58.33, 45%); (71.67, 27.67%) for dry season and (23.33, 0%); (18.33, 25%) for wet season in urban and peri-urban with the respective of Ada’a and Adama districts (Table 3,4).
The overall mean serum magnesium concentration for lactating cows was 0.12±0.001g/L in dry and 0.126±0.001g/L in wet season in the two districts. The mean serum magnesium concentration in urban and peri-urban of Ada’a and Adama zuria districts as indicated in Table 1. In both districts, the mean serum magnesium concentration was higher in urban than the peri-urban production system (Table 1).
The mean value of serum magnesium was significantly different (P<0.05) between districts, production systems, physiological state of the animals and seasons. The overall mean values of magnesium in serum were above the critical level <1.2 mg/dl = <0.012 g/l (Miles and McDowell, 1983).
The overall mean serum copper level was 0.52±0.01 and 0.60±0.01 respectively for lactating and dry cow in dry season. In wet season the overall mean serum copper level was 0.56±0.01 and 0.55±0.01 respectively for lactating and dry cows. The details of serum copper level in each district, management type and cow physiology were indicated in Table 2. Overall percentage of Ca deficiency based on the critical level of Cu (79.54, 54.62%); (79,23, 49.35%) for lactating cows and (57.62, 67.87%); (67.62, 59.39%) for dry cow were deficient in Cu. Likewise, seasonally (80.0, 58.33%); (71.67, 26.67%) for dry season and (56.67, 63.33%); (26.67, 65.%) for wet season in urban and periurban with the respective of Ada’a and Adama districts (Table 3,4).
The overall mean value for iron concentration in the serum of dairy cows was shown in Table 2. Across the districts, the overall mean value of serum iron concentration in lactating and dry cows were (2.54 vs 2.47 ppm) and (2.61 vs 2.64 ppm), respectively, with in dry and wet season. The result indicated that mean serum iron concentration was lower in lactating than dry cows. Also, in dry season overall mean serum iron concentration was lower than wet season (2.36 vs 2.56 ppm), respectively, throughout the study area.
However, based on their critical level (<1.0 ppm) in all cases, the value was above the critical level of all variables as shown below in Table 2.
In Adaa and Adama districts, the overall mean serum zinc level in lactating and dry cows were 1.71, 1.95 ppm and 2.02, 2.23 ppm, respectively. The dry season serum zinc level was 1.86 ppm in wet season 2.23 ppm, across the districts, whereas along the production system (urban and per urban), the overall mean value were (2.25, 1.62 ppm) and (2.1, 1.93 ppm), in Ada’a and Adama zuria districts, respectively. This indicated that the overall mean value of zinc in Ada’a urban was higher than the peri-urban, on the contrary in Adama districts the mean value in urban was lower than the peri-urban. In the study area the mean value between districts, physiological status of dairy cows and seasons were significantly different (P< 0.05), whereas, between production systems have not significantly different (P>0.05) as indicated in Table 2. However, based on their critical level (<0.6 ppm) in all cases the value was below the critical level of all variables as shown in Table 2.
The overall mean serum copper level was 0.52±0.01 and 0.60±0.01 respectively for lactating and dry cow in dry season. In wet season the overall mean serum copper level was 0.56±0.01 and 0.55±0.01 respectively for lactating and dry cows. The details of serum copper level in each district, management type and cow physiology were indicated in Table 2. Overall percentage of Ca deficiency based on the critical level of Cu (79.54, 54.62%); (79,23, 49.35%) for lactating cows and (57.62, 67.87%); (67.62, 59.39%) for dry cow were deficient in Cu.
The mean values for Co concentration in serum of dairy cows is given in (Table 2). Overall serum Co concentration throughout the study area, was not detected from serum samples Moreover, it was indicated that based on their critical level (< 0.1 ppm) in all cases, the value was below the critical level of all variables.
The deficiency/imbalance of minerals have a significant effect on health and productivity of livestock (Aregheore et al., 2007; Gonul et al., 2009). Dairy cows age can affect mineral requirement through changes in efficiency of absorption. Animals that are most susceptible to trace element deficiencies are young growing animals and animals during their first pregnancy and lactation (Khan et al., 2003). Mineral insufficiencies in livestock are frequently based on season, in dry season feeds are deficient in most minerals. Moreover, mineral demands significant increased as the result of pregnancy, lactation or prompt growth of animals which is predisposed for deficiency of minerals, when animals accessed only in grazing pasture (Tashi et al., 2005). Moreover, during wet season, high content of energy and protein in forage results in more weight gain in cattle thereby increasing the need for mineral supplementation (McDowell et al., 1983).
In the present study, overall mean serum calcium concentrations in animals at different physiological status in Adaa and Adama district of the study area were very near to borderline serum calcium concentrations or critical level <0.08 g/l (Miles and McDonald, 1983). However, when individual dairy cows of mean serum Ca level in the study area were compared to critical value some dairy animals said to be deficient.
The mean serum Ca level was higher for Peri-urban dairy animals than Urban in Adaa district during dry season. However, for Adama districts, serum Ca level was higher for urban than Peri-urban dairy animals in dry season. Similarly, in wet season mean serum Ca level was higher for Peri-urban animals than urban dairy animals in Ada’a district. These differences in plasma Ca values could be due to variations in feed sources (McDowell, 2003). Most of the animals in the peri-urban were free grazing compared to zero grazing animals in urban. Similarly, the present study revealed that serum Ca concentrations were slightly lower in lactating cows compared to their counterpart dry/ non-lactating cows. The lower serum levels of Ca in lactating cattle might be due to high demand of absorbed Ca per liter of milk produced. As per NRC (2001), lactating cattle needs 1.37 g of Ca/kg of milk produced in addition to maintenance requirement. If the Ca plasma/serum levels decline may occur severe enough to produce specific deficiency syndrome i.e. milk fever characterized by circulatory collapse and depressed consciousness (Radostits et al., 2007). Moreover, this study revealed that the mean serum Ca was lower in dry season than wet/rainy season, which disagree with the report of Khan (2003). This might be due to feed shortage in dry season and higher passage of Ca into milk aggravate the condition. In other case the current study in line with the study of (Chhabra, 2006) who indicated that higher plasma Ca levels had been reported in dairy animals in wet season (8.25 mgdl-1= 0.0825gm/l) than in dry season (7.99 mgdl-1=0.0799gm/l).
Phosphorus (P) is a very essential mineral for the dairy animals. Apart from an important component of skeleton, P is involved in every metabolic reaction in the body including muscle, energy, carbohydrate, amino acid, fat, nerve tissue and nucleic acid metabolism (Rosol and Capen 1997; Peterson and Beede, 2002).
The mean serum P in all physiological groups of cows was below the critical value in this study. The current results were in agreement with various studies reported from East African (Khalili et al., 1993a; Abdelrahman et al., 1998; Tsegahun et al., 2006; McDonald et al., 2011). Those authors reported that East African forages were known to be low in Na and P and it causes the most common nutritional problems in livestock. In the rainy season, cows and calves of both local breeds and crossbreeds were found to suffer mainly from P deficiency. Moreover, Khalili et al., (1993a) suggested that P absorption might also be reduced due to higher Ca or Fe intake. Over Ca intake reduces the efficiency of absorption of P in the digestive tract by decreasing the solubility of P (NRC, 2001). Moreover, molybdenum reduces P absorption at the intestinal level and increases urinary P excretion leading to lowering of P contents in dairy animals (Radostits et al., 2007). Therefore, deficiency of P is the most prevalent mineral deficiency of livestock throughout the world (McDowell 2003).
The P deficiency results in reduced growth, decreased appetite, impaired reproduction and weak fragile bone (NRC, 2001). Therefor, considerable attention should be given to P when supplementation of feeds is used.
The serum magnesium concentrations in the different physiological status of both districts were found to be above its critical level (<0.012 g/l). The current study was in agreement with Tiwary et al., (2007), who reported that serum magnesium concentration in animals was above the critical level. The current research result disagrees with the report of Radostits et al., (2007), who indicated that lower plasma Mg status of animals during winter season could be due to forage quality and intake of this forage by the animals can lead to the development of hypomagnesemia. Moreover, according to Dua and Care (1995), the dietary Mg availability to livestock is markedly affected by other minerals in the diet, especially potassium and nitrogen will inhibit Mg absorption from the rumen.
The overall mean serum copper concentration was below the critical value in in the majority of dry and lactating dairy cows in study area. This findings was in agreement with the report of Sharma et al., (2003a) and Tiwary et al., (2007) who indicated that animals are deficient in Cu, this might be due to several factors such as less availability of copper in feeds and fodder and decreased gut absorption as well as increased excretion of copper (Mc Dowell, 1985; Sharma and Joshi, 2004). Moreover, copper deficiency may also due to high intake of soluble protein from fresh pasture, which increase the amount of sulfide production in the rumen, which resulting in unavailable copper sulfide (McDowell and Conrad, 1990). Likewise, the current result in agreement with the report of Tapiwa (2012) who reported that the concentration of Cu was higher in the dry season than in wet season. This might be due to the high leaching and/or absorption of Cu by plants during wet season. Furthermore, Campbell et al., (1974), also suggested that a high level of iron over an extended periods has an influence on copper availability.
In present study, the overall mean Fe serum concentration was higher than the critical level given by Miles and McDonald (1983), in dry and lactating dairy cows, in both seasons in the study area. The current result in line with the report of Lemma et al., (2002); McDowell (2003) indicated that deficiency of Fe in ruminants is uncommon under normal feeding conditions, but may occur in the animals fed on poor quality roughages like straw for extended periods of time might be due to the abundance of iron in soil as well as in animal feeds. Generally, adequate Fe levels in pasture, forage contamination from soil or direct soil intake provide excess dietary Fe to the animals.
The mean serum zinc concentration was found above its critical level (<0.6 ppm), suggested by Miles and McDonald (1983) in present study. The results of the present study were in agreement with the findings of Tiwary et al., (2007) and Shukla et al., (2006) indicated that dairy feed contained adequate zinc level to meet dairy cows’ requirements. Plasma zinc concentrations normally decrease in dairy cows at calving, but usually return to normal within 3 days (Sharma and Joshi, 2004).
The overall mean serum cobalt was below the critical value (<0.1ppm) suggested by Miles and McDonald (1983) in both lactating and dry dairy cows as well in both districts. The deficiency in serum cobalt was even severe in Adama zuria compared to Ada’a district. Cobalt deficiency is the most severe mineral limitation to grazing livestock in tropical countries (McDowell and Conrad, 1990) and also deficiency of cobalt due to dairy cows feed and/or in the soils.
CONCLUSION AND RECOMMENDATION
Therefore, attention should be given to correct the deficient minerals especially Ca, P, Cu and Co as these minerals are either below the critical level (categorized into deficient) or borderline minerals from blood serum in the study area. In general, the effect of minerals deficiency should be evaluated upon the productivity of dairy animals to come up with an applicable recommendation. Any feeding system based on mineral supplementation for dairy animals by formulating area specific mineral mixture, having highly bio-available mineral salts. Deficient trace minerals, except Co, may be supplemented in the form of chelates, for better production, reproductive efficiency and productive life of dairy cows.
ACKNOWLEDGEMENT
CONFLICT OF INTEREST
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