Livestock Research for Rural Development 24 (6) 2012 Guide for preparation of papers LRRD Newsletter

Citation of this paper

In vitro ruminal fermentation parameters of tanner grass (Brachiaria arrecta) supplemented with leaves from three forage trees

Andell Edwards, V Mlambo, C H O Lallo*, G W Garcia* and M D Diptee**

Department of Food Production [DFP], Faculty of Science and Agriculture [FSA], University of the West Indies [UWI], Hodge Street, St Augustine, Trinidad and Tobago [T & T]
andell_e@hotmail.com
* The Open Tropical Forage-Animal Production Laboratory [OTP-APL], DFP, FSA, UWI, St Augustine, T & T
** School of Veterinary Medicine, Faculty of Medical Sciences, Mt Hope, T & T

Abstract

Grasses in the tropics are generally low in nitrogen (N) and this tends to negatively affect their utilization as ruminant feeds. Protein supplementation using tree forage leaves has the potential to increase the feeding value of grasses and animal productivity. The utility of tree leaves as protein supplements varies with chemical composition, which is in turn influenced by the prevailing biotic and abiotic growth environment of the tree. This study, therefore investigated the effect of incremental levels of Leucaena leucocephala, Gliricidia sepium, and Trichanthera gigantea leaves, grown in a river estate loam soil (pH 5.0 – 6.2) in Trinidad, on in vitro ruminal fermentation parameters of Brachiaria arrecta (tanner grass) utilizing the Reading Pressure Technique (Mauricio et al 1999). The objectives were to determine which supplement is superior and which inclusion level is the most effective. Tanner grass was supplemented in vitro with incremental levels (7.5, 15, 22.5 and 30% w/w) of L. leucocephala (T+Leuc), G. sepium (T+Glir), or T. gigantea (T+Trich) leaves.

Gliricidia sepium supplementation promoted the highest increase (126 %) in gas production from the immediately soluble fraction (a) when included at 15 % level while L. leucocephala promoted the least increase (109 %) at the same level. Gas production from the insoluble fraction (b) declined when leaves of G. sepium, L. leucocephala and T. gigantea were supplemented at 15 %. Gas production rate constant for the insoluble fraction (c) increased by 100 % as the leaves of G. sepium, L. leucocephala and T. gigantea were included at 15 %. Potential gas production (a+b) showed a decline of 87, 86 and 83 % when leaves of G. sepium, L. leucocephala and T. gigantea were included at 15 %. There was a decrease in the lag phase (l) when leaves of all species were used as supplements. At 48-h post inoculation, cumulative gas production and in vitro organic matter degradability (iOMD) were highest (708 ml/g OM) and (545 g/kg DM) respectively, when G. sepium leaves were used as a supplement. Partitioning factors (PF) and predicted ME were highest when leaves of L. leucocephala and T. gigantea were supplemented at the 30 % level. It is concluded that G. sepium is superior to the other tree species when supplemented at the 15 % level.  

Key words: fibrous substrates, in vitro degradability, inclusion rates, protein-rich forages


Introduction

Tanner grass (Brachiaria arrecta) serves as the basal diet for ruminants reared at the University Field Station (UFS), Valsayn, Trinidad and Tobago. Tanner grass is a stoloniferous perennial rooting at lower nodes. It belongs to the Poaceae family and is native to tropical Africa. It grows best in well drained soils and responds well to nitrogen fertilization (Judd 1979). During the dry periods of the year (January to May) in Trinidad and Tobago visual assessment and animal performance seem to suggest that the feeding value (intake, digestibility) of tanner grass is poor. It is important to improve the utilization of tanner grass during the dry periods in order to maintain the condition of animals. One method of increasing the feeding value of tanner grass in the dry season is to supplement it with tree forage leaves. Tree leaves have the potential to provide additional nitrogen needed to enhance rumen microbial activity. When used as supplement in grass-based diets, leguminous forages increase feed conversion, protein and energy intake, rumen function and overall animal performance (Kanani et al 2006). Legume forage supplements have increased intake and digestibility of grass basal diets by ruminants (Getachew et al 1994). Mcleod and Minson (1969) and Preston (1982) reported that the supplementary effect of legumes on the in vivo digestibility of grasses is due to the legume overcoming an N deficiency. Foster et al (2009) reported that feed intake, digestibility, and nitrogen (N) retention were increased by supplementation with legume hay or soybean meal. Akinlade et al (2002) concluded that feeding forage legumes as a supplement can maintain live weight in sheep even in dry periods when feed quality is poor. There are three high protein forages (L. leucocephala, G. sepium and T. gigantea) established at UFS that can serve as suitable N supplements to ruminants on a basal diet of tanner grass.

Garcia (1988) reported on using the in vivo nylon bag digestibility of L. leucocephala and Manihot esculenta to estimate the level of digestibility and by-pass CP value and to estimate the DE value of these forages in sugarcane forage based diets for calves. In a study where G. sepium and L. leucocephala were used to supplement a napier grass (Pennisetum purpureum) diet, increases in total dry matter intake and live weight were recorded (Abdulrazak et al. 1996). Kanani et al (2006) reported that goats fed L. leucocephala had higher average daily gains (93.9 g/day) compared to those fed Medicago sativa, Dolichos lablab, and Desmanthus bicornutus. As a result the authors suggested that L. leucocephala had more potential for feeding growing goats in the tropical regions in comparison to the other forage legumes. However, in vitro studies by Edwards et al (2012) have shown that the in vitro organic matter digestibility of G. sepium leaves is superior to L. leucocephala and T. gigantea. 

In vivo digestibility studies are labour intensive, costly and require sophisticated equipment and animal holding facilities (Khan et al 2003). In vitro ruminal gas production techniques, on the other hand have been used extensively to rapidly evaluate and rank the nutritive value of feedstuffs for ruminant animals (Chenost et al 2001; Degen et al 2010). Information on in vitro ruminal fermentation parameters of tanner grass when supplemented with forage legumes is limited. Incremental levels can be used to determine the minimum quantity of supplement required to maximize rumen microbial activity and hence basal diet utilization. Researchers have utilized varying inclusion levels to evaluate the effect of supplements. Inclusion levels of 0, 10, 20, and 30 % were used to assess the effect of greenleaf desmodium (Desmodium intortum) and sweet potato vine (Ipomoea batatas) supplementation of napier grass (Pennisetum purpureum) on degradation and rumen fermentation in Friesian steers (Kariuki et al 2001). Similarly, Mupangwa et al (2002) employed 0, 10, 20, and 30 % supplementation levels of velvet bean hay (Mucuna pruriens) to estimate the nutrient parameters of natural grass hay offered to sheep. The objectives of this study, therefore, were to evaluate the effects of incremental levels (7.5, 15, 22.5 and 30 %) of L. leucocephala, G. sepium, and T. gigantea on in vitro ruminal fermentation parameters for tanner grass utilizing the Reading Pressure Technique. In addition, it was aimed to determine which species and supplemental level is the most effective. 


Materials and Methods

Study site

Leaf samples were obtained from established trees of G. sepium, L. leucocephala and T. gigantea at The University Field Station (UFS). The UFS (Lat 10° 38’ N Lon 61° 23’ W) has a relatively flat topography with an altitude of 15.2 meters above mean sea level. Average annual rainfall is 1782.9 mm with an average monthly temperature of 27 °C. The soil type is river estate loam. The soil is free draining with a pH range of 5.0 – 6.2. 

Sample preparations 

Fresh leaf materials (leaves with petioles) were harvested from the three forage tree species (L. leucocephala, G. sepium, and T. gigantea) that had been trimmed to a height of 1 meter at the UFS. Harvesting was manually done, 8 weeks after trimming, by cutting branches at a distance of 1 m from the growing tip for G. sepium and 0.5 m for T. gigantea and L. leucocephala.  Leaves from six individual trees for each species were harvested, weighed and stored separately into brown paper bags. Leaf samples were immediately transported to the laboratory and oven dried at 65 °C to a constant weight. The dried samples were then milled to pass through a 1mm sieve using a Wiley Mill (Glen Creston Ltd, Middlesex, UK) and kept at room temperature (25°C, 68 % relative humidity) in separate brown paper bags pending chemical analysis and in vitro ruminal fermentation.

Chemical analyses 

Chemical analyses of forage tree leaves were carried out as part of an earlier study (Edwards et al 2012) and the results are included here (Table 1) for descriptive purposes. Dry matter, organic matter, crude protein, neutral detergent fibre, acid detergent fibre, and acid detergent lignin were determined for tanner grass and tree leaves. Soluble and insoluble condensed tannin content were also determined for tree leaves.

Table 1. The effect of species on the chemical composition (g/kg DM) of G. sepium, L. leucocephala and T. gigantea leaves (Edwards et al 2012)

Species

OM

CP

ADIN

ADF

NDF

ADL

SCT

ICT

 

 

 

 

 

 

 

 

 

G. sepium

914a

265a

30a

418a

577a

24a

0a

0

 

 

 

 

 

 

 

 

 

L. leucocephala

915a

302b

38b

470b

656b

31b

0.1b

0

 

 

 

 

 

 

 

 

 

T. gigantea

744b

212c

36b

563c

655b

27c

0ac

0

 

 

 

 

 

 

 

 

 

B. arrecta

977c

66d

6.2c

287d

571a

80d

-

-

 

 

 

 

 

 

 

 

 

Species

***

***

***

***

***

***

***

NS

a,b,c Means within a column with different superscripts differ significantly (P<0.05).

*P < 0.05; ** P < 0.01; *** P < 0.001; NS = not significantDM = dry matter, OM = Organic matter, CP = Crude protein, ADIN = Acid detergent insoluble nitrogen, ADF = Acid detergent fibre, NDF = Neutral detergent fibre, ADL = Acid detergent lignin, SCT = Soluble condensed tannins, ICT = Insoluble condensed tannins

In vitro ruminal gas production 

Rumen microbial fermentation was assessed in vitro using the Reading Pressure Technique (RPT) of Mauricio et al (1999). Ruminal fluid was collected at 7:00 am. The donor was a crossbred Holstein heifer offered tanner grass, G. sepium, L. leucocephala, T. gigantea leaves and a dairy concentrate (Master Mix Feeds Ltd, Trinidad). Rumen digesta from multiple sites within the rumen was sampled by hand and the rumen fluid squeezed into prewarmed thermos flasks, transported to the laboratory, then blended and strained through two layers of warm cheese cloth. The resulting rumen fluid was held under carbon dioxide at 39 °C. About 0.5 g of tanner grass sample was weighed into 125 ml serum bottles in triplicate. Tanner was then supplemented with G. sepium, L. leucocephala, or T. gigantea leaves at 7.5, 15, 22.5 and 30% (w/w) inclusion rates. Using a measuring cylinder, 90 ml reduced RPT buffer (Mauricio et al 1999) was added to each serum bottle (a total of 110 serum bottles). Serum bottles without samples (blanks) were included for each of the two withdrawal periods (24 and 48 post-inoculation) to allow correction for residual DM from rumen fluid that may affect fermentation gas release. Leaf substrates were incubated for 48 h. After adding the buffer, the bottles were sealed and stored at 20 °C before being transferred into the incubators, set at 39 °C, 8 h before inoculation with rumen fluid. The serum bottles were inoculated with 10 ml rumen fluid and incubated at 39 °C for 48 h. Inoculation was completed within 1 h of fluid being prepared and, during this time, anaerobic conditions were maintained by constant flushing of rumen fluid containers and serum bottles with carbon dioxide gas. Serum bottles were withdrawn after 24 and 48 h incubation to estimate extent of degradability. 

Gas measurements 

Headspace gas pressure was measured at 2, 4, 6, 8, 10, 12, 15, 19, 24, 30, 36, 48, 72 and 96 h post-inoculation using a pressure transducer. Gas pressure readings in pounds per square inch (psi) were converted to gas volume (ml) using the following relationship between gas pressure and gas volume that was predetermined for the site:

GP= 0.0022psi2 + 2.1244psi + 1.7675

Where  GP = is the predicted gas volume (ml) and psi is the pressure transducer reading (pressure per square inch) at time t

Cumulative gas data were fitted to a non-linear regression model (Orskov and McDonald 1979) using the Curve Fitter (Datafit 9 1999). The model is as follows:

Y= a+b (1-e-c(t-tl))

Where:

y = gas produced at time “t”; a = gas production from the immediately soluble fraction (ml); b = gas production from the insoluble fraction (ml); c = gas production rate constant for the insoluble fraction (ml/h); e = exponential function; t = incubation time (h); l = lag time 

Estimation of degraded substrate 

In vitro organic matter degradability (iOMD) at 24 and 48 h was determined by recovering the fermentation residues after filtration through sintered glass crucibles (100-160 µm porosity, Pyrex, Stone, UK) under vacuum. Fermentation residues were dried at 105 °C overnight and incinerated in a muffle furnace at 550 °C for 12 h. Loss in weight after incineration was used as a measure of undegradable OM. The iOMD was calculated as the difference between OM content of the substrate and its undegradable OM. Partitioning factors (PF), a measure of fermentation efficiency, were calculated as a ratio of 48 h iOMD (mg) and cumulative gas production (ml/g OM) fermentation parameters. Metabolizable energy (ME) (MJ/kg DM) content of leaf substrates was predicted from 48h organic matter degradability using the following equation (Mc Donald et al 2002):

ME (MJ/kg DM) = 0.016iOMD

where:

iOMD =g digestible organic matter per kg dry matter (DM)  

Statistical analysis 

General linear models (GLM) procedures of Minitab (Minitab 2000, Minitab Inc, State College, PA, USA) were used for the analysis of variance for 24h and 48h cumulative gas production, rate of gas production, iOMD and fitted parameters (a, b and c) data. A 3*4 factorial treatment (3 species combination and 4 inclusion levels) arrangement in a completely randomised design (CRD) was employed using the model of Yij = µ + Dij +  Fij + Dij *  Fij + eij.

where: Yij =  dependent variable , µ = overall mean, Dij = species effect (G. sepium, L. leucocephala and T. gigantea), Fij = supplement effect (0, 7.5, 15, 22.5 and 30 %),  Dij *  Fij = species*supplementation effect and eij = residual error. 


Results

In vitro ruminal fermentation parameters 

Figure 1 shows the effect of species and supplementation level on cumulative gas production. At 48h post inoculation, there was a 146 % increase in cumulative gas production when G. sepium leaves were supplemented at the 15 % level when compared to 0 % supplementation (Figure 1). There was a 128 % increase in 48h cumulative gas production when L. leucocephala leaves were supplemented at 15 % in comparison to 0 % supplementation.

Figure 1. Cumulative gas production of tanner grass in response to supplementation (%) with  (i) G. sepium, (ii) L. leucocephala  and (iii)  T. gigantea  leaves. ( a,b,c,d,A,B,C Bar means with different superscripts differ significantly (P < 0.05). Lowercase letters (a-d) compare supplementation levels within species (i, ii, and iii) and uppercase letters (A - D) compare supplementation levels across species)

When T. gigantea leaves were used as a supplement at 15 % level, there was a 136 % increase in cumulative gas production at 48-h post inoculation compared to 0 % supplementation. At 48-h post inoculation, cumulative gas production was highest when G. sepium leaves were used as a supplement in comparison to the other species (Figure 1).  

Tables 2 and 3 show the effect of species and inclusion levels on gas production from the immediately soluble fraction (a), gas production from the insoluble fraction (b), gas production rate constant for the insoluble fraction (c), potential gas production (a+b), lag phase (l), in vitro organic matter degradability (iOMD), partitioning factor (PF) and predicted metabolizable energy (ME). There was an increase in gas production from the immediately soluble fraction (a) when leaves of G. sepium (126 %), L. leucocephala (109 %) and T. gigantea (117 %) were included at the 15 % level. However, there was a decrease in (a) when leaves were supplemented at levels beyond 7.5 % for all species. Gas production from the immediately soluble fraction (a) was highest when G. sepium was used as a supplement in comparison with the other species (Table 2).  

Table 2. Effect of species and inclusion levels (Inc. levels) on in vitro gas production parameters and organic matter degradability (OMD) (g/kg DM) of tanner grass

 

 

Gas production parameters

OMD

Substrate

Inc. levels

a (ml/g OM)

b (ml/g OM)

a + b (ml/g OM)

c (fraction/hour)

Lag (hours)

24h OMD

48h OMD

Tanner only

0%

23eD

7717cC

7740cC

0.000dC

6.15dD

279D

429C

Tanner + Gliricidia

7.5%

57aA

1458aA

1516aA

0.010aA

3.10aA

329A

406A

15%

52bA

1172aA

1224aA

0.020bA

2.43bA

397A

479A

22.5%

43cA

963bA

1005bA

0.030cA

2.01bA

433A

545A

30%

39dA

920bA

959bA

0.030cA

1.32cA

423A

527A

Tanner + Leucaena

7.5%

60aB

3454aB

3514aB

0.010aA

4.15aB

313B

399A

15%

48bB

1050bA

1098bA

0.020bA

2.31bA

405A

460B

22.5%

50bB

918bA

968bA

0.020bB

1.45cB

458B

531B

30%

45cB

884bA

929bA

0.020bB

1.59cA

435A

498B

Tanner + Trichanthera

 

7.5%

63aC

1254aA

1317aA

0.020aB

2.00aC

340A

403A

15%

50bAB

1196aA

1246aA

0.020aA

2.74bA

381B

484A

22.5%

51bB

1201aA

1252aA

0.020aB

2.78bA

422A

542A

30%

51bC

1075aA

1126aA

0.020aB

2.23aA

399C

499B

Species

P value

0.001

0.218

0.216

0.000

0.653

0.195

0.168

Inc. levels

P value

0.000

0.000

0.000

0.000

0.000

0.000

0.000

Species*Inc. levels

P value

0.018

0.020

0.020

0.000

0.001

0.236

0.833

SEM

 

1.89

346

345

0.001

0.31

11.65

11.07

In a row where species*Inc. levels is significant, lowercase superscripts compare Inc. levels means within species, while uppercase superscripts compare species for each I level; a,b,c,d,e,A-DMeans within a row/column with different superscripts differ (P<0.05).

a = gas production from the immediately soluble fraction (ml); b = gas production from the insoluble fraction (ml); a+b = potential gas production; c = gas production rate constant for the insoluble fraction (ml/h)

There was a decrease of 85 % in gas production from the insoluble fraction (b) when leaves of G. sepium were included at 15 % compared to 0 % supplementation. Supplementing L. leucocephala leaves at 15 % caused gas production from the insoluble fraction (b) to decrease by 86 %. There was a decline of 85 % as T. gigantea leaves were supplemented at 15 %. The gas production rate constant for the insoluble fraction (c) increased by 100 % as the leaves of G. sepium were included at 15 % (Table 2), Supplementing L. leucocephala leaves at 15 % caused gas production rate constant for the insoluble fraction (c) to increase by 100 %. There was an increase of 100 % in the insoluble fraction (c) as T. gigantea leaves were included at 15 % (Table 2). Potential gas production (a+b) showed a decline of 84 % as the leaves of G. sepium were supplemented at 15 %. Leucaena leucocephala leaves caused the potential gas production (a+b) to decrease by 86 % when supplemented at 15 %. There was a decrease in potential gas production (a+b) by 84 % when T. gigantea leaves were included at 15 % (Table 2). Supplementing with tree leaves reduced the lag phase (l). There was a 61 % decline in the lag phase (l) when the leaves of G. sepium were included at the 15 % level, while a 63 % decline was observed with L. leucocephala at 15 %. Trichanthera gigantea leaves caused the lag phase to decrease by 56 % when supplemented at 15 % (Table 2) compared to 0 % supplementation.

Table 3. Effect of species and inclusion levels (Inc. levels) on partitioning factors (PF mg/ml) and predicted metabolizable energy (ME MJ/kg DM)

Substrate

Inc. levels

PF

ME

Tanner only

0%

1.4C

6.8A

Tanner+Gliricidia

7.5%

0.6A

6.5A

15%

0.7A

7.7A

22.5%

0.8A

8.7A

30%

0.7A

8.4A

 

 

 

 

Tanner+Leuceana

7.5%

0.7B

6.4A

15%

0.7A

7.4B

22.5%

0.8A

8.5A

30%

0.8B

7.9B

 

 

 

 

Tanner+Trichanthera

7.5%

0.6A

6.5A

15%

0.7A

7.8A

22.5%

0.8A

8.7A

30%

0.8B

7.9B

 

 

 

 

Species

P value

0.002

0.168

Inc. levels

P value

0.000

0.000

Species*Inc.levels

P value

0.125

0.833

SEM

 

0.02

0.18

 

At 48-h post inoculation iOMD was highest when G. sepium (545 g/kg DM) and T. gigantea (542 g/kg DM) leaves were used as supplements at the 22.5 % level. There was no difference in partitioning factors (PF) and predicted ME when leaves were used as supplements. 


Discussion

This study was designed to test the hypothesis that in vitro ruminal gas production, fermentation kinetics and organic matter digestibility of tanner grass are influenced by incremental levels of L. leucocephala, G. sepium, and T. gigantea. Data obtained supported this hypothesis as shown in Figure 1 and Tables 2 and 3. In vitro ruminal cumulative gas production of tanner grass at 24-h and 48-h post inoculation increased significantly with supplementation by all forage species (Table 2). This may be attributed to more nutrients having been made available for the microbes to utilize in vitro (Osuga et al 2008). Cumulative gas production, at 48-h post inoculation, was highest for G. sepium supplementation at all inclusion levels, possibly influenced by its high concentration of crude protein (CP), organic matter (OM) and low fibre components (NDF, ADF, ADL) (Table 1). This is consistent with the findings of Kamalak et al (2004) and Karabulut et al (2007) who reported negative correlations between gas production (GP) and cell wall contents (NDF, ADF) and positive relationships between CP, ash and GP of legume hays. In addition, the extent of gas production reflects the efficiency of the degradability of feed OM (Osuga et al 2005). In vitro ruminal cumulative gas production increased dramatically for all species from 24-h to 48-h post inoculation. This is in agreement with Kamalak et al (2004) who reported increases in gas production of tree leaves with increasing incubation time. This demonstrates that the microbial population is larger and more active at 48-h post inoculation. Supplementation with G.sepium leaves recorded the highest percentage increase in gas production from the immediately soluble fraction (a) at the 15 % level (Table 2). This indicates that G. sepium leaves releases more readily available nutrients to the rumen microbes at that level.

All species caused gas production from the insoluble fraction (b) to decline as their leaves were used to supplement tanner grass. Such data may suggest that there was a lack of sustained supply of nutrients from the leaves to allow fermentation of the slowly degradable fractions of the substrates. Supplementation with these forage tree leaves may not have increased the volume of nutrients, particularly N to microbial organisms. Additionally, it is possible that more rumen undegradable crude protein would be made available in the small intestine. The gas production rate constant for the insoluble fraction (c) increased by 100 % as the leaves of G. sepium, L. leucocephala and T. gigantea were included at 15 %, respectively (Table 2). This increase suggests that more soluble carbohydrates and proteins were made available to microorganisms as supplementation increased (Akinfemi et al 2009). This may also explain the increase in cumulative gas production of tanner grass when supplemented at 24 and 48 h as gas production is in direct response to soluble carbohydrates (Chenost et al 2001). The gas production rate constant for the insoluble fraction (c) is critical as it can be associated with dry matter intake, hence providing nutritionist with valuable tools for feeding. There was a decrease in the lag phase (l) as the leaves of all species were used as supplements (Table 2) providing evidence that a greater proportion of nutrients were made available as inclusion levels increased. At 48-h post inoculation iOMD was highest when G. sepium (545 g/kg DM) and T. gigantea (542 g/kg DM) leaves were used as supplements at the 22.5 % level suggesting that more nutrients, particularly N, were being made available to facilitate microbial degradation at this level (Akinfemi et al 2009). Partitioning factors tend to increase with incremental levels of supplement due to increased substrate degradability (Arhab et al 2009). However, this was not the case in this study as increasing supplement levels did not influence PF. 

Forage legumes provide a good source of degradable nitrogen and energy and as a result their inclusion in the diet is expected to increase the population of rumen microbes (Wallace et al 1995). This was not the case in a study by Abdulrazak et al (1996) where neither G. sepium nor L. leucocephala were able to influence apparent digestibility or in sacco DM degradation characteristics of forages. However, Getachew et al (1994) attributed an increase in rumen ammonia to the degradable nitrogen supplied when diets were supplemented with forage legumes. Mcleod and Minson (1969) reported that the supplementary effect of legumes on the in vivo digestibility of grasses is due to the legume overcoming any N deficiency. Preston (1982) has shown that increasing nitrogen in diets of fibrous feeds lead to an increase in total forage and DM intake. 

Though the results were consistent with Akinlade et al (2002) and Foster et al (2009) who reported increases in digestibility of poor quality feed owing to supplementation with legume forages, it is difficult to quantify whether the increase in digestibility from supplementation was due to the supply of nitrogen (N) or a substitution effect due to bulk effect. Minson and Milford (1967) suggested that supplementation with legumes can result in a stimulating effect owing to a supply of N but also a substituting effect due to their bulkiness. Wallace et al (1995) indicated that assessing substitution on a 1:1 basis is misleading since the components of the diet will have different digestibilities and different bulking effects in the rumen. One way to address this is to ensure forage legumes are included at a rate of a third or less of the total dry matter (DM) as was done in this study as this may reduce the effect of bulking. In vitro techniques for evaluating digestibility are arbitrary methods and if their results are to predict in vivo digestibility, standard feeds of known in vivo digestibility should be included with each batch for determination (Mcleod and Minson 1969). The use of such standards was not done for this study but would be explored in future studies. 

Gliricidia sepium seems to have the greatest impact on in vitro ruminal fermentation; however, it shared similar responses to fermentation parameters and organic matter degradability with T. gigantea (Figure 1, Tables 2 and Table 3). This may be attributed to higher levels of degradable nitrogen (Getachew et al 1994; Wallace et al 1995) in the two forages. High degradation in the rumen is not ideal as it indicates smaller proportions of by-pass protein to the duodenum. Supplementation at 22.5% stimulated the highest response from in vitro ruminal fermentation, gas production from the immediately soluble fraction (a) and organic matter digestibility (OM) for G. sepium. However, the highest responses to in vitro ruminal gas production, (a) and (c) for T. gigantea supplementation was attained at the 7.5 % level. Such data suggest that a small quantity of T. gigantea leaves is required for optimum response to fermentation parameters. This may imply that mixtures of the different forage legumes may be a possible way forward (mixing their rumen degradable protein and by-pass protein characteristics to the benefit of the animal’s ruminal and post ruminal nutritional needs). 


Conclusion


Acknowledgements

We would like to give our sincerest gratitude to the lab technicians of the Food Production Lab, Department of Food Production, The University of the West Indies for lending their support and expertise. The authors acknowledge funding support for the purchase of chemicals for this study from The School for Graduate Studies, The University of the West Indies (St Augustine Campus) for providing the funding to purchase chemicals.


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Received 5 May 2012; Accepted 10 May 2012; Published 1 June 2012

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