Effect of Carbohydrate Sources and Levels of Cotton Seed Meal in Concentrate on Feed Intake, Nutrient Digestibility, Rumen Fermentation and Microbial Protein Synthesis in Young Dairy Bulls

Animals and feeds

Four, 6 months old dairy bulls with an initial BW of 112±25 kg were randomly assigned to receive four dietary treatments according to a 2×2 factorial arrangement in a 4×4 Latin square design. Factor A was carbohydrate sources; cassava chip (CC) or Cassava chip+Rice bran in the ratio of 3:1 (CR3:1), and Factor B was cotton seed meal levels in concentrate; 109 g CP/kg (LCM) and 328 g CP/kg (HCM) at similar overall CP levels (490 g CP/kg). The ingredients and chemical composition of the carbohydrate sources and protein concentrates are presented in Table 1. The two sources of carbohydrate and two formulae of high protein concentrates were mixed to produce different rations to be isonitrogenous of 150 g CP/kg dry matter (Table 2). All dairy calf bulls were supplemented with concentrate at 10 g/kg BW, fed twice a day (0700 and 1600) and urea-lime treated rice straw (Wanapat et al., 2009b) was given ad libitum. Mineral blocks and water were available ad libitum for all animals in individual pens.

Table 1.

Ingredients and chemical compositions of dietary in the experiment (g/kg DM)

Table 2.

Treatment combinations and chemical composition of dietary treatments (g/kg DM)

Samples and analysis

Feeds, feed refusals, urine and feces from the total collection of each individual calf during the last 7 days of each period were collected. On the day 21 of every period, rumen fluid and blood samples were collected at 0 and 4 h-post feeding. Samples were stored at −20°C and daily feces collections for each period were bulked, mixed and a 50 g/kg sub-sample was taken (Singh et al., 2007).

Feeds, feed refusals and fecal samples were dried at 60°C, ground (1 mm screen using Cyclotech Mill, Tecator, Sweden) and proximate analysis performed using the standard methods of AOAC (1995) for dry matter (DM), ash and acid detergent fiber (ADF). Neutral detergent fiber (NDF) was estimated according to Van Soest et al. (1991). Total nitrogen (N) in samples of feeds, feed refusals, urine and feces were determined according to AOAC (1991). Rumen fluid was immediately measured for pH using a portable pH temperature meter (HANNA, instruments HI 8424 microcomputer, Singapore) and NH₃-N by Kjeltech Auto 1030 Analyzer (Bremmer and Keeney, 1965). Volatile fatty acids (VFA) were analyzed using High Performance Liquid Chromatography (Instuments by controller water model 600E; water model 484 UV detector; column novapak C18; column size 3.9 mm×300 mm; mobile phase 10 mM H₂PO₄ (pH 2.5)) according to Samuel et al. (1997). Rumen fluid was analysed for bacteria groups (total viable, cellulolytic, proteolytic and amylolytic bacteria) using the roll-tube technique of Hungate (1969).

Total urine excretion was collected and acidified using 10 ml of 2 M H₂SO₄ solution. Urine samples were analyzed for allantoin concentration by High Performance Liquid Chromatography, as described by Chen et al. (1993). The microbial N (MN) synthesis was estimated by the urinary excretion of purine derivatives (PD) according to Chen and Gomes (1995):

where X and Y are the absorption and excretion of PD in mmol/d, respectively. Efficiency of microbial N supply (EMNS) was calculated using the following formula:

where DOMR = digestible OM apparently fermented in the rumen.

Statistical analysis

All data were analyzed as a 2×2 factorial arrangement in a 4×4 Latin square design using the general linear procedure in PROC GLM of SAS (1996). The statistical model included terms for animal, period, energy source, urea level, and the energy source×urea level interactions. Unless otherwise stated the significance is reported at p<0.05.

Effect on feed intake and nutrients digestibility

Carbohydrate sources and cotton seed meal levels did not affect urea-treated rice straw intake (Table 3) of animals while total intake, expressed as g/kg of metabolic weight, tended to be higher in HCM group than LCM group (p<0.07). However, using CR3:1 as a carbohydrate source resulted in higher DM and OM digestibility when compared with CC treatments (p<0.05). Moreover, bulls which received LCM had higher protein digestibility than the HCM treatments (p<0.05) but, digestibility of ether extract and fiber were not affected by either carbohydrate sources or levels of cotton seed meal in the concentrate (p>0.05). Sarwar et al. (1991) reported the intake of dry matter to be inversely related to digestibility in cattle. Using a high level of easily degradable carbohydrate feedstuffs may impact on feed intake due to a higher rate of VFA production, a drop in ruminal pH (Sommart et al., 1997; Richardson et al., 2003; Wang et al., 2009), and a decrease in microbial fermentation in the rumen (Firkins, 1996; Rusell and Rychlik, 2001; Firkins et al., 2006). Ruminal microorganisms play an important role in feed digestion of ruminants, particularly the fiber fraction (Russell and Rychlik, 2001). Thus the differences in nutrient digestibility in this study could be attributed to the higher microbial populations in the CC and LCM treatments. Moreover, the rumen undegradable protein and non-structural carbohydrate intakes could also affect the nutrient digestibility. Bruckental et al. (2002) found digestibility of CP and non-structural carbohydrate increased when the proportion of undegradable protein was increased. In contrast, the result of CP digestibility in current studies showed negative effect when undegradable protein was increased.

Table 3.

Effect of carbohydrate sources and cotton seed meal levels on feed intakes and apparent nutrient digestibility

Effect on rumen fermentation characteristics and blood metabolites

Ruminal pH in present study was similar among carbohydrate sources (Table 4) and similar to values obtained by other worker (6.5 to 6.9) (Chanjula et al., 2004; Granum et al., 2007; Wanapat et al., 2009a). This result indicated that a combination of an appropriate carbohydrate source with a high protein concentrate feed may improve rumen fermentation by providing suitable pH conditions for microorganism activity as mentioned by Hungate (1966). However, Khan et al. (2007) found that alterations in starch intake and starch fermentation pattern resulted in differences in ruminal pH, which was contrast with this work. This could be due to suitable carbohydrate source and undegradable protein in the rumen. Ammonia nitrogen concentration was not affected by carbohydrate sources, levels of cottonseed meal or its interaction, and showed quite low levels (7.6 to 8.5 mg/dl) when compared with other works (Chanjula et al., 2004; Granum et al., 2007; Wanapat and Pilajan, 2009; Foiklang and Wanapat, 2010). This result may imply that rumen microbial activity was limited by the protein digestibility of the local feedstuff, or the rumen microorganisms had a high level of ammonia assimilation for use as a nitrogen source for their protein synthesis (Erfle et al., 1976). In addition, Aldrich et al. (1993) reported a tendency for decreasing rumen NH₃-N concentrations as starch degradability increased. In the present work, animals, which received CC as the carbohydrate source showed higher BUN concentration than the CR3:1 treatment at 4 and 6 h post feeding. This could be because cassava chip is more easily degraded in the rumen compared to the cassava chip combined with rice bran (Wanapat and Khampa, 2007). Accordingly, the rumen microorganisms have a high ammonia assimilation to use as a nitrogen source for their protein synthesis. Levels of cottonseed meal in the concentrate did not affect ruminal pH, ammonia nitrogen or blood urea nitrogen concentrations. This could be due to efficiency of animals to use nitrogen for microbial protein synthesis. However, Rusche et al. (1993) found that feeding sources of protein that had a higher potential to be degraded in the rumen increased the concentration of plasma urea nitrogen (PUN) of primiparous beef cows. Moreover, Corbett and Edey (1977) reported reduced PUN in ewes fed formaldehyde-treated casein compared with ewes fed isonitrogenous diets supplemented with untreated casein.

Table 4.

Effect of carbohydrate sources and cotton seed meal levels on ruminal pH, ammonia nitrogen and urea nitrogen concentration

The combination of cassava chip with rice bran at the ratio of 3 to 1 (CR3:1) (Table 5) was decreased the proportions of propionic and butyric acid which could be ascribed to the significantly greater starch consumption in CC animals and probable superior fermentation of organic matter by ruminal microbes (Owen et al., 1967; Baldwin et al., 2004). Moreover, greater metabolic activity of the rumen epithelium and increased rumen absorptive area in animals was associated with a higher organic matter fermentation and higher concentrations of VFA in the rumen (Owen et al., 1967; Lesmeister and Heinrichs, 2004). Animals which received HCM had a higher concentration of total VFA than the LCM treatments. This may be attributed to higher degradation by ruminal microbes in the HCM treatment in agreement with Dijkstra (1994) who reported that the production of VFA in the rumen was linearly correlated with dry matter intake of ruminants. However, Keady and Mayne (2001) found that the molar concentration of total volatile fatty acids did not increase as total feed intake increased. Bannink et al. (2006) estimated the stoichiometry of VFA production in the rumen of lactating cows and found many factors that affected concentration and proportions of volatile fatty acids, such as dry matter intake, diet composition, truly digested in the rumen, and the utilization rate of substrate by rumen microorganisms, etc.

Table 5.

Effect of carbohydrate sources and cotton seed meal levels on volatile fatty acid concentration in rumen fluid

Effect on rumen microbial population

Effects of carbohydrate source and cottonseed meal levels on microbial populations in the rumen of the young dairy bulls are in Table 6. Animals fed with CC had lower (p<0.05) populations of both total viable bacteria and proteolytic bacteria than the CR3:1 treatment, while the populations of cellulolytic bacteria and amylolytic bacteria were not significantly different among treatments (p>0.05). This result could be due to the lower DM and OM digestibility of the CC treatment as the ruminal microorganisms play a vital role in feed digestion of ruminants (Russell and Rychlik, 2001). However, it might be expected that the population of amylolytic bacteria in the rumen should increase when ruminants receive more easily degradable carbohydrates (Hungate, 1966; Tajima et al., 2001). The population of proteolytic bacteria in animals fed LCM was higher than HCM which could be due to the nature of the protein in cottonseed meal which is highly rumen undegradable (Clark et al., 1987; 1992), according to Bach et al. (2005) who concluded that the population of protelytic bacteria should decrease when ruminants receive a high proportion of rumen undegradable protein. However, other bacteria groups were similar between the two levels of cotton seed meal in the concentrate (p>0.05). In addition, numbers of bacteria in the rumen are dependant on many factors such as rate of passage, population of rumen protozoa, and other unknown factors (Hungate, 1966).

Table 6.

Effect of carbohydrate sources and cotton seed meal levels on microbial population in the rumen

Effect on microbial protein synthesis

Table 7 shows the effect of carbohydrate source and cottonseed meal level on microbial protein synthesis. Microbial protein synthesis and its efficiency were not significantly affected by source of carbohydrates or levels of cotton seed meal in the concentrate, although populations of bacteria were significantly different (p<0.05). Nevertheless, rate of ruminal degradability of nitrogen and carbohydrate sources, rumen dilution rate, dietary sulfur and frequency of feeding, also affect microbial protein synthesis (Stern and Hoover, 1979). The increase in nutrient digestibility in this study could attribute to higher microbial protein synthesis. Moreover, the microbial purine derivative absorption and microbial protein supply were affected by an interaction between carbohydrate source and level of cottonseed meal in the concentrate. The possible explanation for this result was unclear; however, synchronization between soluble carbohydrate and rumen degradable protein fractions in the rumen is a possible cause.

Table 7.

Effect of carbohydrate sources and cotton seed meal levels on microbial protein synthesis

Another aim of this research was to present an alternative high protein concentrate, for use in small scale ruminant production, which could be easily combined with local carbohydrate sources for small-holder farmers.