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Wanapat, Anantasook, Rowlinson, Pilajun, and Gunun: 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

Abstract

The objective of this study was to investigate the effect of levels of cottonseed meal with various carbohydrate sources in concentrate on feed intake, nutrient digestibility, rumen fermentation and microbial protein synthesis in dairy bulls. Four, 6 months old dairy bulls 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 source; cassava chip (CC) and cassava chip+rice bran in the ratio of 3:1 (CR3:1), and factor B was cotton seed meal levels in the concentrate; 109 g CP/kg (LCM) and 328 g CP/kg (HCM) at similar overall CP levels (490 g CP/kg). Bulls received urea-lime treated rice straw ad libitum and were supplemented with 10 g of concentrate/kg BW. It was found that carbohydrate source and level of cotton seed meal did not have significant effects on ruminal pH, ammonia nitrogen concentration, microbial protein synthesis or feed intake. Animals which received CC showed significantly higher BUN concentration, ruminal propionic acid and butyric acid proportions, while dry matter, organic matter digestibility, populations of total viable bacteria and proteolytic bacteria were lower than those in the CR3:1 treatment. The concentration of total volatile fatty acids was higher in HCM than LCM treatments, while the concentration of butyric acid was higher in LCM than HCM treatments. The population of proteolytic bacteria with the LCM treatments was higher than the HCM treatments; however other bacteria groups were similar among the different levels of cotton seed meal. Bulls which received LCM had higher protein digestibility than those receiving HCM. Therefore, using high levels of cassava chip and cotton seed meal might positively impact on energy and nitrogen balance for the microbial population in the rumen of the young dairy bull.

INTRODUCTION

Nutrition is very important for livestock production, especially the energy and protein source. Cassava (Manihot esculenta) tubers contain high levels of energy and have been used as a source of readily fermentable carbohydrate in ruminant rations; thus, allowing higher levels of urea be incorporated, (Wanapat, 2003; Promkot and Wanapat, 2005; Khampa et al., 2006; Wanapat and Khampa, 2007). Increased daily weight gains and feed efficiency have also been reported when cassava replaced corn up to 20% in concentrates fed to buffalo calves (Etman et al., 1993). In addition, cassava successfully replaced corn or barley in studies on milk production in dairy cows fed grass silage or rice straw (Sommart et al., 1997; 2000).
Although soybean meal is a major protein source, byproducts from vegetable oil extract such as coconut meal, palm kernel meal, cotton seed meal, kapok seed meal, etc. and brewery’s grain meal are also the protein sources available (Wanapat and Rowlinson, 2007). These local feeds have been used in several ruminant studies (Chanjula et al., 2004; Promkot and Wanapat, 2005; Khampa et al., 2006; Promkot et al., 2007; Wora-anu et al., 2007; Chantaprasarn and Wanapat, 2008; Wanapat et al., 2009a). In addition, soybean meal has been successfully replaced by cottonseed meal or sunflower meal which are rich in rumen undegradable protein in fish (Margarida et al., 2002) and goat (Titi, 2003) diets. These could be beneficial for improvement of animal performance by incorporating with low degraded carbohydrate. Dairy cows fed with high level of cotton seed meal had a higher total feed intake, milk yield and composition, and milk income (Wanapat et al., 2012). Moreover, lambs fed with cottonseed meal increased NDF digestibility and N retention (Caton et al., 1988). However, differences of animal species can variably respond to dietary feed (Baldwin, 1998). Therefore, this study was conducted to investigate the effects of levels of cottonseed meal and carbohydrate sources on feed intake, nutrient digestibility, rumen fermentation, microbial population and microbial protein synthesis in dairy calf bulls.

MATERIAL AND METHODS

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.

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):
Y=0.85X+(0.385BW0.75)
MN (g/d)=70X/(0.116×0.83×1000)=0.727X
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:
EMNS=microbial N (g/d)/DOMR
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.

RESULTS AND DISCUSSION

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.

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.
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.

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).

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.
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.

CONCLUSIONS

Young dairy bulls which received CC showed higher blood urea nitrogen concentrations and ruminal proportions of propionic and butyric acids, while dry matter and organic matter digestibility and populations of total viable bacteria and proteolytic bacteria were lower than the CR3:1 fed treatments. Animals which received LCM had a lower concentration of total VFA, but showed a higher protein digestibility, butyric acid concentration, and proteolytic bacteria population than the HCM fed animals. In addition, there were some interactions between carbohydrate sources and cottonseed meal levels. Therefore, using high levels of cassava chip and cotton seed meal might positively impact on energy and nitrogen balance in the rumen of young dairy bulls.

ACKNOWLEDGMENTS

The authors would like to express their most sincere gratitude and appreciation to the Tropical Feed Resources Research and Development Center (TROFREC), The Office of the Higher Education Commission and Thailand Research Fund (TRF) through the Royal Golden Jubilee Ph.D. Program, Department of Animal Science, Faculty of Agriculture, Khon Kaen University, for their financial support, experimental animals, laboratory research and the use of research facilities.

Table 1.
Ingredients and chemical compositions of dietary in the experiment (g/kg DM)
Energy source
Protein source
CC CR3:1 LCM HCM
Ingredient
  Palm kernel meal 461 347
  Coconut meal 385 297
  Cottonseed meal 109 328
  Urea 109 100
  Tallow 10 10
  Molasses 13 13
  Salt 5 5
  Sulfur 5 5
  Mineral 5 5
Chemical composition
  Organic matter 952 949 926 927
  Crude protein 24 49 491 490
  Ether extract 41 66 98 111
  Neutral detergent fiber 140 156 207 266
  Acid detergent fiber 123 137 154 187

1 CC = Cassava chip, CR = Cassava chip+rice bran (3:1), LCM = Llow cotton seedmeal, HCM = High cotton seed meal.

Table 2.
Treatment combinations and chemical composition of dietary treatments (g/kg DM)
T1 T2 T3 T4

CC+LCM CC+HCM CR3:1+LCM CR3:1+HCM
CC 730 730
CR 771 771
LCM 270 229
HCM 270 229
Chemical composition
  Organic matter 955 957 954 956
  Crude protein 149 150 151 150
  Ether extract 56 59 73 75
  Neutral detergent fiber 145 149 155 166
  Acid detergent fiber 127 135 136 142

1 CC = cassava chip, RB = Rice bran, CS = cotton seed meal, LCM = low cotton seedmeal, HCM = high cotton seed meal.

Table 3.
Effect of carbohydrate sources and cotton seed meal levels on feed intakes and apparent nutrient digestibility
CC1
CR3:1
SEM Significance2
LCM HCM LCM HCM CS CM I
ULTRS intake (kg/h/d) 1.8 1.7 1.7 1.7 0.32 ns ns ns
Total intake (kg/h/d ) 2.8 2.7 2.7 2.7 0.53 ns ns ns
  g/kg BW 24 25 24 24 0.41 ns ns ns
  g/kg BW0.75 74.6 75.1 74.9 76.6 0.91 ns 0.07 ns
Apparent digestibility (g/kg DM)
  Dry matter 635 619 664 654 10.8 * ns ns
  Organic matter 744 738 775 768 11.3 * ns ns
  Crude protein 640 607 659 616 9.9 ns * ns
  Ether extract 583 613 589 597 11.4 ns ns ns
  Neutral detergent fiber 621 626 639 633 1.03 ns ns ns
  Acid detergent fiber 483 473 509 508 1.53 ns ns ns

1 CC = Cassava chip, CR3:1 = Cassava chip+rice bran 3:1, LCM = Low cotton seed meal, HCM = High cotton seed meal.

2 CS = Energy sources, CM = Cotton seed meal levels, I = ES×CM interaction.

* p<0.05, ns = Non-significant difference, SEM = Standard error of the means.

Table 4.
Effect of carbohydrate sources and cotton seed meal levels on ruminal pH, ammonia nitrogen and urea nitrogen concentration
CC1
CR
SEM Significance2
LCM HCM LCM HCM CS CM I
Ruminal pH 0 6.6 6.7 6.6 6.8 0.13 ns ns ns
  h-post feeding 4 6.4 6.4 6.4 6.3 0.06 ns ns ns
mean 6.5 6.6 6.5 6.6 0.05 ns ns ns
NH3-N, mg/dl 0 7.1 6.8 7.4 7.4 0.61 ns ns ns
  h-post feeding 4 8.4 10.2 8.3 7.7 0.99 ns ns ns
mean 7.8 8.5 7.9 7.6 0.45 ns ns ns
BUN, mg/dl 0 7.0 7.1 6.8 7.0 0.20 ns ns ns
  h-post feeding 4 10.3 10.8 7.8 9.3 0.80 * ns ns
mean 8.7 9.4 7.3 8.2 1.00 * ns ns

1 CC = Cassava chip, CR3:1= Cassava chip+rice bran 3:1, LCM = Low cotton seed meal, HCM = High cotton seed meal.

2 CS = Energy sources, CM = Cotton seed meal levels, I = ES×CM interaction.

* p<0.05, ns = Non-significant difference, SEM = Standard error of the means.

Table 5.
Effect of carbohydrate sources and cotton seed meal levels on volatile fatty acid concentration in rumen fluid
CC1
CR
SEM Significance2
LCM HCM LCM HCM CS CM I
Total VFA, mmol/L
  h-post feeding 0 90.8 93.7 95.4 97.1 1.24 ns ns ns
4 91.7 96.7 96.8 98.8 2.04 ns ns ns
mean 91.3 94.2 96.1 98.0 1.40 ns * ns
--------------------- mol/100 mol ---------------------
  C2, h-post feeding 0 68.6 71.9 71.6 70.2 0.75 ns ns ns
4 68.1 70.4 70.2 71.5 0.87 ns ns ns
mean 68.4 71.2 70.9 70.9 0.57 ns ns ns
  C3, h-post feeding 0 22.1 19.1 19.4 21.1 0.50 ns ns ns
4 21.9 20.7 20.9 20.1 0.62 ns ns ns
mean 22.0 19.9 20.3 20.6 0.46 ns ns ns
  C4, h-post feeding 0 9.2 8.9 9.0 8.7 0.19 ns ns ns
4 9.7 9.0 8.9 8.4 0.21 * ns ns
mean 9.5 8.9 9.0 8.6 0.20 ns ns ns
  C2:C3, h-post feeding 0 2.7 3.3 3.7 3.3 0.31 * ns ns
4 3.2 3.5 3.4 3.6 0.15 ns ns ns
mean 3.0 3.4 3.6 3.5 0.10 ns ns ns

1 CC = Cassava chip, CR3:1 = Cassava chip+rice bran 3:1, LCM = Low cotton seed meal, HCM = High cotton seed meal.

2 CS = Energy sources, CM = Cotton seed meal levels, I = ES×CM interaction.

* p<0.05, ns = Non-significant difference, SEM = Standard error of the means.

Table 6.
Effect of carbohydrate sources and cotton seed meal levels on microbial population in the rumen
CC1
CR3:1
SEM Significance2
LCM HCM LCM HCM CS CM I
Total viable bacterial (×1010 CFU3/ml)
  h-post feeding 0 2.9 3.0 5.0 4.4 0.86 * ns ns
4 2.5 4.9 5.2 5.8 1.13 * ns ns
  mean 2.7 3.9 5.6 4.9 0.85 * ns ns
Cellulolytic bacteria (×108 CFU/ml)
  h-post feeding 0 3.9 3.5 4.1 3.4 1.19 ns ns ns
4 3.5 4.1 3.6 3.1 1.25 ns ns ns
  mean 3.7 3.9 3.8 3.3 0.88 ns ns ns
Proteolytic bacteria (×107 CFU/ml)
  h-post feeding 0 5.4 4.4 3.1 5.1 0.73 ns ns *
4 4.2 3.2 6.8 4.2 1.82 * * ns
  mean 4.8 3.8 4.5 4.6 0.92 ns ns ns
Amylolytic bacterial (×107 CFU/ml)
  h-post feeding 0 3.8 5.9 4.1 4.4 1.09 ns ns ns
4 5.3 6.5 5.2 4.9 1.38 ns ns ns
  mean 4.5 6.2 4.7 4.7 1.00 ns ns ns

1 CC = Cassava chip, CR3:1 = Cassava chip+rice bran 3:1, LCM = Low cotton seed meal, HCM = High cotton seed meal.

2 CS = Energy sources, CM = Cotton seed meal levels, I = ES×CM interaction.

3 CFU = Colony forming unit,

* p<0.05, ns = Non-significant difference, SEM = Standard error of the means.

Table 7.
Effect of carbohydrate sources and cotton seed meal levels on microbial protein synthesis
CC1
CR3:1
SEM Significance2
LCM HCM LCM HCM CS CM I
PD excretion (mM/d) 69.9 81.8 84.7 77.4 4.25 ns ns 0.07
PD absorption (mM/d) 58.4 63.5 73.1 63.2 3.96 * ns *
MPS, g N/d 42.4 46.2 53.1 46.0 4.22 ns ns *
EMPS, gN/kg OMDR 29.1 30.3 31.2 29.2 2.28 ns ns ns

1 CC = Cassava chip, CR3:1 = Cassava chip+rice bran 3:1, LCM = Low cotton seed meal, HCM = High cotton seed meal.

2 CS = Energy sources, CM = Cotton seed meal levels, I = ES×CM interaction.

* p<0.05, ns = Non-significant difference, SEM = Standard error of the means.

PD = Purine derivative, MPS = Microbial protein synthesis, EMPS = Efficiency of microbial protein synthesis.

OMDR = Organic matter digestible in the rumen (65% of organic matter digestible in total tract) according to ARC (1984).

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