Back to Journal

International Journal of Animal Science

Forage and In Vitro Dry Matter Digestibility Quality of Native Species in Coastal Lowlands of Kenya

[ ISSN : 2575-7806 ]

Abstract Citation Introduction Materials and Methods Results Discussion Conclusions and recommendations Acknowledgements References
Details

Received: 06-Nov-2018

Accepted: 27-Nov-2018

Published: 29-Nov-2018

Mburu LM¹*, Gachuiri CK², Wanyoike MM², and Mande JD²

¹Department of Animal Sciences, Kenyatta University, Kenya

²College of Agriculture and Veterinary Sciences, University of Nairobi, Kenya

Corresponding Author:

Mburu LM, Department of Animal Sciences, Kenyatta University, P.O Box 43844-00100, NAIROBI, Kenya, Tel: +254733528416; Email: mburu.leonard@ku.ac.ke

Keywords

Native species; In vitro digestibility; Chemical composition; Forages

Abstract

In the Coastal Lowlands of Kenya, small-scale mixed crop-livestock system is the dominant form of agricultural production. Feed quantity and quality are inadequate and rarely meets the nutrient demands of growing heifers and lactating cows especially in the dry seasons. The objective of the study was to determine the chemical composition and In Vitro Dry Matter Digestibility (IVDMD) of some native species forage species of the coastal lowlands of Kenya. A cross-sectional survey was conducted for 3 months on a random sample of 415 small-scale dairy cattle producers’ to determine the main basal feed resources. Thereafter, feed samples were collected during a longitudinal survey on a purposive sample of 32 farms from the main cross-sectional sample for 12 months. Chemical composition of the forages varied considerably. The mean CP and NDF of grasses ranged from 84.1±10.9 - 97.1±13.5 and 603.8±57.0 - 724.8±45.1 g/kg DM respectively. Leucaena leucocephala had the highest CP of 270.8±74.0 g/kg DM while natural pastures mixture had the lowest of 84.1±10.9 g/kg DM. Asystacia gangetica and Commelina benghalensis had a CP content of 131.8±26.7 and 162.7±22.6 g/kg DM respectively. Napier grass had a CP of 86.4±11.3 g/kg DM while dry maize stover and green maize stover had CP of 72.2±10.4 and 112.8±13.6 g/kg DM respectively. A. gangetica, C. benghalensis, L. leucocephala and green maize stover had higher in vitro dry matter digestibility (> 50%) compared to dry maize stover, pastures grasses and napier grass. Pastures grasses in vitro dry matter digestibility ranged from 40.3±7.31 – 44.7±5.48%. Therefore, the available forages were of moderate quality with average to high nutrient content and in vitro dry matter digestibility. Farmers’ should be encouraged to harvest pasture grasses at bloom-milk stage in order to take advantage of their rich nutrient supply.

Citation

Mburu LM, Gachuiri CK, Wanyoike MM and Mande JD. Forage and In Vitro Dry Matter Digestibility Quality of Native Species in Coastal Lowlands of Kenya. Int J Anim Sci. 2018; 2(6): 1038.

Introduction

Livestock are the world’s largest users of land, either directly through grazing or indirectly through consumption of fodder, crop residues and feed grains [1]. Livestock production and productivity is affected by numerous factors and range from climate, nutrition and health aspects [2]. Climatic changes are accompanied by changes in the quantity and quality of rain-fed crops and forage, reduced water availability and more widespread water shortages, changing severity and distribution of important human, livestock and crop diseases [3]. In the tropics animal production is affected by the reliability and length of the wet season and this determines the nature of the animal production enterprise [4]. Therefore, to increase productivity in order to satisfy rising demands, agricultural policies should advocate intensification of production, which requires enhanced external inputs and services [5,6].

In the coastal region of Kenya, forage productivity is largely dependent on rainfall which is highly variable and often unpredictable [7]. The situation is further compounded by decreasing farm sizes due to land fragmentation as a result of increasing population [8]. As a result, forage biomass yield, quality and availability varies substantially from season to season. Therefore, for adequate feeding of livestock, farmers need information about the nutritive value of available feed stuffs. This created a need to develop strategies to synchronize feed availability (quantity and quality) with the nutritional requirements of dairy cattle throughout the year in the Coastal Lowlands of Kenya. Hence, the objective of the study was to determine the chemical composition and In Vitro Dry Matter Digestibility (IVDMD) of some native species forage species of the coastal lowlands of Kenya.

Materials and Methods

Study area

The study was conducted in Kwale and Kilifi counties of the Coastal Lowlands of Kenya which fall in over five agro-ecological zones characterized by different climatic, topographic, soil and environmental features that influence the potential of agricultural development [7]. The relative humidity is high (>80%) while the mean annual rainfall is 1200mm and mean monthly minimum and maximum temperatures are 22 and 30°C respectively.

Data collection

Research design: A cross-sectional survey was conducted on a random sample of 415 small-scale dairy cattle producers’ for 3 months to determine the main basal feed resources. Thereafter, feed samples were collected on a purposive sample of 32 farms from the cross-sectional sample during a longitudinal survey for 12 months. The farms were selected based on willingness to participate in the study, stall-fed or semi stall-fed cow(s) and kept farm records. Detailed data on acreage of cultivated and natural fodders and pastures, crop residues and tropical browse species used as livestock feed sourced on- and off-farm were collected.

Feed samples collection: Feed samples were collected during longitudinal survey from 150 plots in 32 farms at harvesting time during season I (short rains dry season: July-September 2012), season II (short rains season: October-December 2012), season III (long rains dry season: January-March 2013) and season IV (long rains season: April-June 2013). In semi stall-fed systems, grass samples were collected shortly before grazing. From each plot, two samples were collected in separate sample bags. A total of 780 samples in duplicates from different 26 forage and crop residue types were collected. To determine species composition of natural pastures, two diagonal transect lines were laid out in each pasture field. Along each transect line; five regularly spaced 1m2 quadrants were thrown. In each quadrant, the relative composition of different plant species was determined, clipped and weighed.

Laboratory analyses

Feed samples preparation: The samples were put in cool box and delivered to Kenya Agricultural and Livestock Research Organization (KALRO)–Mtwapa laboratory within 48 hours. Upon delivery, the two samples collected per plot were immediately chopped, thoroughly re-mixed and divided into two equal portions again for DM and chemical composition determination. Samples for chemical composition determination were dried in an air-forced oven at 60°C for 48 hours to a constant weight after which they were ground in a Willey mill to pass through a 2mm screen and stored in nylon zip-lock bags. After longitudinal survey, due to their low frequency of occurrence and use as feed, 274 samples from 16 forage types were discarded. Thereafter, samples of the same forage type from the same farm and locality was combined, thoroughly mixed and then sub-sampled resulting in 142 samples from 10 feed types for chemical composition determination. These were two forbs: Asystacia gangetica and Commelina benghalensis: seven grasses: Cynodon plectostaychus (star grass), Panicum maximum (guinea grass), Panicum coloratum (coloured guinea), Zea mays (maize stover), Pennisetum purpureum (Napier grass), Rottboelia exaltata and natural pasture grasses mixture and one tropical browse shrub: Leucaena leucocephala.

Chemical composition determination: The DM was determined by oven-drying at 105°C for 12 hours. The organic matter OM) was determined through dry-ashing in a muffle furnace for 4 hours at 500°C. The chemical composition was determined through NIRS using pre-calibrated Multi-Purpose FT-NIR Analyzer (MPA) [9]. The Multi-Purpose FT-NIR Analyzer sequence of calibrations used was developed and supplied by Bruker Optics who had validated it for tropical feedstuffs in their laboratory. Prior to NIRS scanning, the dried and milled forages were re-dried for 4 hours at 60°C in an oven to standardize moisture conditions.

In vitro dry matter digestibility: In vitro dry matter digestibility was determined following the methods of [10] by incubating 5g of sample in thermostatically controlled water bath at 38°C. All samples were incubated in duplicates. 500mL of rumen liquor was obtained from the rumen of a cannulated steer fed on Rhodes grass hay and grazed on natural pastures at the University of Nairobi, College of Agriculture and Veterinary Sciences farm. IVDMD was calculated as follows: [1-(DM residue-blank DM)/DM original)]×100, where DM residue is the DM recovered after 96 hours of fermentation, blank DM is the DM recovered in the corresponding blank incubated with rumen fluid after the same fermentation time, and DM original is the DM of the substrate placed in the tube [11].

Statistical analyses

The data obtained from in vitro dry matter digestibility was subjected to One-Way Analysis Of Variance (ANOVA) procedure using the SAS program General Linear Model procedure. Significant means were compared using the Duncan’s Multiple Range Tests.

Results

Natural pastures grass species composition

The dominant grasses were C. plectostaychus (38.6%) and P. maximum (20.7%) with R. exaltata having the lowest occurrence (13.2%). C. benghalensis which is a common weed in pastures and crops fields had 9.1% occurrence. Other pasture grass species constituted 1.1% (Table 1).

Table 1: Proportionate species composition of natural pastures grasses.

Natural pastures mixture composition Proportion (%)
Cynodon plectostaychus 38.6
Panicum maximum 20.7
Panicum coloratum 17.3
Rottboelia exaltata 13.2
Commelina benghalensis 9.1
Other grasses 1.1

Chemical composition of common forages

There were considerable variations in chemical composition between the forages as shown in Table 2. The CP content of A. gangetica and C. benghalensis was higher than that of all the other forages except the L. leucocephala. They also had lower NDF than pasture grasses which were harvested at an advanced stage of maturity. C. benghalensis had a CP content of 162.7g/kg DM which was higher than 133.5g/kg DM [12]. L. leucocephala was fed as a mixture of leaves and twigs and had a CP content of 270.8g/kg DM which was higher than 244g/kg DM [13]. However, its CP was comparable to 276g/kg DM [14] and 268g/kg DM of leaves harvested at 12 weeks interval [15].

Table 2: Chemical composition (g/kg DM) of common feed resources.

Forages DM (g/kg) CP Ash CF EE NDF ADF
Forbs
A. gangetica 273.4±72.6 131.8±26.7 127.6±8.8 282.5±22.0 12.2±10.5 493.4±50.5 385.8±22.9
C. benghalensis 168.5±59.8 162.7±22.6 117.3±14.7 284.1±17.0 31.9±11.9 403.8±53.7 386.8±34.2
Crop residues
Maize stover 587.2±179.8 72.2±10.4 88.0±11.5 345.7±22.8 0 721.1±52.7 438.0±29.7
Maize forage 389.0±155.1 112.8±13.6 107.1±21.8 319.5±15.3 0.41±1.1 676.6±46.7 419.0±17.7
Planted fodder
Napier grass 227.5±90.5 86.4±11.3 135.6±24.2 337.7±12.0 0.1±0.2 716.6±40.4 455.4±18.1
Pasture grasses
P. maximum 274.3±78.4 85.7±7.9 97.2±0.3 351.7±17.1 0 724.8±45.1 461.2±19.6
P. coloratum 264.7±94.7 85.2±6.6 112.5±14.4 342.6±13.2 0 675.5±56.6 478.4±17.3
C. plectostaychus 466.7±171.5 84.5±6.7 82.0±12.4 344.1±14.8 0.4±0.7 723.1±51.1 477.3±21.4
R. exaltata 367.7±153.7 97.1±13.5 117.8±18.9 320.5±21.6 1.1±3.0 671.4±72.8 456.2±21.2
Natural pastures mixture 369.0±199.5 84.1±10.9 113.7±14.7 323.0±13.9 3.8±5.4 603.8±57.0 454.6±19.5
Tropical browse shrub
L. leucocephala 372.8±74.0 270.8±39.1 99.2±5.7 199.7±32.4 71.8±16.5 333.6±72.1 357.4±55.1

DM - Dry Matter; CP - Crude Protein; EE -Ether Extract; NDF - Neutral Detergent Fibre; ADF - Acid Detergent Fibre. ± - indicates the spread of the mean.

Maize forage was cut from the fields immediately after green cobs were harvested and as a result more nutritious while the dry maize stover was harvested an advanced stage of growth after maturity. Dry maize stover CP was higher than 46g/kg DM [16] and 52.0g/kg DM [17]. Napier grass CP content was higher than 64g/kg DM in the coastal Kenya region reported by [18]. Napier grass had ash and NDF contents of 135.6 and 716.6g/kg DM which were comparable to 134 and 721.4 g/kg DM and 136 and 703.0g/kg DM reported by [13,18] respectively. In the study area, pasture grasses were harvested at different stages of growth based on availability rather than maturity, hence the wide range in CP and CF values.

In Vitro dry matter digestibility of common forages

There were significant differences (P<0.05) between IVDMD of some forages (Table 3).

Table 3: In Vitro Dry Matter Digestibility (% DM) of common forages.

Forages Mean* Std. Deviation
Forbs
A. gangetica 56.8ab 6.94
C. benghalensis 63.3a 4.06
Crop residues
Maize stover 39.1c 1.45
Maize forage 52.9b 5.3
Planted fodder
Napier grass 40.3c 4.06
Pasture grasses
Panicum maximum 41.4c 2.01
Panicum coloratum 44.7c 5.48
Cynodon plectostaychus 41.6c 6.51
Rottboelia exaltata 41.7c 5.27
Natural pastures mixture 40.3c 7.31
Tropical shrub
L. leucocephala 54.3b 1.61

*Means with different superscripts within a column are significantly different (P<0.05).

C. benghalensis had the highest IVDMD and was significantly different (P<0.05) with all the other forages except A. gangetica. Dry maize stover and green maize stover IVDMD were significantly different (P<0.05) which could be attributed to stage of growth at harvesting.

Discussion

Chemical composition is a major determinant of animal production from tropical forages and could affect ruminant performance at both plant and animal levels. It also varies to greater or lesser extent, according to the growth stage and environmental conditions during growth [19,20]. Therefore, variations in chemical composition in Table 2 and IVDMD in Table 3 could be attributed to conditions of soil, stage of maturity at harvest, forage species, variety or hybrid and weather conditions. As a result, differences exist in changes in nutrient quality associated with increased maturity in tropical forages which is accompanied by an increase in cell wall and a decrease in cell contents and results in lower CP [21-23]. The ash content indicates total inorganic materials in feeds and can sometimes provide an indication of feeds contamination with soil.

High CP content ranging from 131.8 to 270.8 g/kg DM of A. gangetica and C. benghalensis and L. leucocephala is an important nutritional aspect (Table 2). They can supplement poor conventional feed resources both during the wet and dry seasons. L. leucocephala is available during the dry season making it a cheap and valuable feeding resource to supply the much needed protein. This could be attributed to its nitrogen fixing and relatively deep root systems giving them drought resistance. In addition, its protein content does not change with leaf maturity even when they dry and fall to the ground [24]. 

Consequently, as a means of increasing yields of DM and CP in small-scale farms, efforts have been directed to introducing multi-purpose trees like Leucaena sp. Gliricidia sp. and Calliandra sp. in alley cropping systems and around the homestead in the coastal region. However, utilization of tropical browse species like L.leucocephala is limited by presence of anti-nutritional factors generated in natural feedstuffs through normal metabolism of species and by different mechanisms [25,26].

The low CP of dry maize stover could be attributed to the stage of harvesting and methods of storage. Field observations showed that the most common methods of handling dry maize stover after harvesting were storing under trees or in barns that were not roofed around homestead or stacking in open fields for gradual collection as required for feeding. These methods exposed the stover to vulgarities of weather and leaf shattering leading to loss of considerable amounts. In addition, most of maize was harvested at post hard grain stage and as a result most of dry maize stover available to farmers was of low quality. The presence of EE in pasture grasses could be attributed to presence of seeds which are rich in oils.

According to [27], forages are considered of low quality if they have less than 80g CP/kg DM, this being the critical level below which voluntary intake of tropical forages is limited and of high quality if having 100g CP/kg DM and above. Based on these criteria, L. leucocephala, green maize stover, A. gangetica and C. benghalensis had nearly 1 to 3 fold CP levels above 80 g/kg DM, and can be considered as medium to high quality forages in study area. Napier grass and pasture grasses had CP content of more than 80 g/kg DM but less than 100 g/kg DM and may be considered as marginal sources of CP. Dry maize stover had a CP content of 72.2g/kg DM and therefore of low quality. However, the CP content of the diet should be 120g/kg DM if moderate production in dairy cattle is to be attained [28]. Though some of the forages had less than 80CP g/kg DM, they are seldom fed exclusively alone and the mixtures used perhaps provided the required CP content. As a result, the high nutritive value of C. benghalensis, A. gangetica, L. leucocephala and green maize stover is diluted by those with low crude protein, low IVDMD and high fibre content. The variations in dry matter loss may be related to the differences in chemical composition or to variations in physical structure, such as the distribution within the tissues of lignified cells [29]. In addition, the forage species could affect voluntary feed intake and milk yields or body weight changes.

C. benghalensis, A. gangetica, L. leucocephala and green maize stover had IVDMD higher than 45% which, according to [30], is the level needed for maintenance of cattle in the tropics. Due to this higher digestibility, they can be used as feed by cattle in the study area for both maintenance and some level of productivity. However, when farmers harvest the forages for feeding, they do not separate them but were usually fed as mixtures in different combinations. The low protein levels in mature tropical grasses have been reported as one of the major factors contributing to poor digestibility and animal performance. Natural pasture grasses differed in quality (Table 2) and in the extent and rate of rumen degradation (Table 3) and hence influence the yield of fermentable substrate. This could be attributable to the stage of maturity at harvesting as in coastal lowlands, natural pastures are usually cut from the field for feeding when required. As the grasses matures, the leaf: steam ratio declines causing a change in the chemical composition with concomitant reduction in feeding value. In addition, pasture grasses and Napier grass fields were poorly maintained with no weeding and fertilization application. A. gangetica and C. benghalensis were weeds within food crops fields where manure and fertilization were applied hence their high nutritive values.

Deficiency of protein can be a major limitation to the intake and utilization of most tropical forages due to rapid growth and maturity during the wet season. NRC [31] reported that the minimum CP content required for lactation and growth in cattle is 150g/kg DM while [22] suggested a minimum requirement of 75g/kg DM for adequate rumen function. Feeds containing less than 60g CP/kg DM are considered as CP deficient. Such feed cannot provide the minimum level of ammonia (50-80mg/l) required for maximum microbial growth. In the study area, the CP content of the forages was adequate to meet the requirements of the host animal and rumen microbes. As such, depending on the forage fed, they are able to satisfy CP requirements of livestock animals ranging from mature beef cows (70g/kg DM) [32] to high producing dairy cows (152.0g/kg DM) [33].

Conclusions and recommendations

The chemical composition and rumen fermentation kinetics of the weeds, crop residues, napier grass, pasture grasses and tropical browse shrub presented significant variations between the feed resources studied. In particular, C. benghalensis could be considered potential source of roughage in this climatic zone in the dry season when regular feed resources are in short supply and low in quality. As a result, they can be used to supplement poor quality grass particularly during the dry season and as a consequence, help to reduce the high feed costs of dairy cattle in small-scale farms in Coastal Lowlands of Kenya. The results of chemical composition and intro dry matter digestibility could also be important when considering feed ration formulation and supplementation strategies for ruminant diets. The information could be useful in the planning of ruminant diets particularly during the dry season in the study area. Therefore, farmers’ should be encouraged to harvest pasture grasses at bloom-milk stage in order to take advantage of their rich nutrient supply.

Acknowledgements

The authors would like to thank the East African Agricultural Productivity Programme (EAAPP) for financing this research. Special gratitude goes to staff at Kenya Agricultural and Livestock Research Organization (KALRO-Mtwapa) and University of Nairobi, College of Agriculture and Veterinary Services for help with data collection and laboratory analysis.

References

1. Bruinsma J. (Ed). World Agriculture: towards 2015/2030: An FAO perspective. Earthscan Publications Ltd, London. 2003; 158-176.

2. Lamy E, van Harten S, Sales-Baptista E, Guerra MMM, de Almeida AM. Factors Influencing Livestock Productivity. In: Sejian et al. (eds.) 2012; Environmental Stress and Amelioration in Livestock Production, Springer Verlag Berlin Heidelberg.

3. ATPS (African Technology Policy Studies Network). Vulnerability and adaptation strategies to climate variability of the Bos taurus dairy genotypes in Nandi South and Rongai Counties in Kenya [Kiplangat Ngeno, Bockline O. Bebe], 2013; ATPS working paper No. 73.

4. Bakrie B, Hogan J, Liang JB, Tareque AMM, Upadhyay RC. Ruminant nutrition and production in the tropics and subtropics. ACIAR Monograph. 1996; 36: 151.

5. Devendra C. Smallholder dairy production systems in developing countries: characteristics, potential and opportunities for improvement: A review. Asian Australian Journal of Animal Science. 2001; 14: 104-113.

6. Bebe BO, Udo HMJ, Thorpe W. Development of smallholder systems in Kenya highlands. Outlook Agriculture. 2002; 31: 113-120.

7. Jaetzold R, Schmidt H. Farm Management Handbook of Kenya Vol. II. Natural Conditions and Farm Management Information Part C. Eastern and Coast Provinces. 1983; Ministry of Agriculture, Kenya, in cooperation with German Agricultural Team (GAT) of the German Agricultural Technical Cooperation (GTZ), Government of Kenya, Nairobi.

8. K.N.B.S (Kenya National Bureau of Statistics). The 2009 Kenya Population and Housing Census “Counting our People for the Implementation of Vision 2030”. 2010; Volume 1A: Population and Household Distribution by Administrative Units, Nairobi, Kenya.

9. Bruker Optics. MPA Multi-Purpose Analyzer. Bruker Optics BOPT-4000062 03. 2013.

10. Tilley JMA, Terry RA. A two stage technique for the in vitro digestion of forages. Journal of British Grasslands Society. 1963; 18: 104 -111.

11. Madrid J, Megías MD, Hernández F. In vitro determination of ruminal dry matter and cell wall degradation, and production of fermentation end-products of various by-products. Animal Resources. 2002; 51: 189-199.

12. Lanyasunya TP, Mukisira EA, Kariuki ST, Ilatsia ED. Effects of Commelina benghalensis, Vicia sativa and Medicago sativa used as protein supplements on performance of dorper sheep fed Sorghum almum. Tropical and Subtropical Agro ecosystems. 2007; 7: 211-216.

13. Mlay PS, Pereka A, Phiri EC, Balthazary S, Igusti J, Hvelplund T, Weisbjerg MR, Madsen J. Feed value of selected tropical grasses, legumes and concentrates. Veterinarski Arhiv. 2006; 76: 53-63.

14. Babayemi JO. In vitro fermentation characteristics and acceptability by West African dwarf goats of some dry season forages. African Journal of Biotechnology. 2007; 6: 1260-1265.

15. Edwards A, Mlambo V, Lallo CHO, Garcia GW. Yield, chemical Composition and In Vitro Ruminal Fermentation of the Leaves of Leucaena Leucocephala, Gliricidia Sepium and Trichanthera Gigantea as Influenced by Harvesting Frequency. J. Anim. S ci. Adv. 2012; 2: 321-331.

16. Ondieki J O, Ogore PB, Shakala EK, Kaburu GM. Feed intake, digestibility, and performance of growing small East African goats offered maize (Zea mays) stover supplemented with Balanites aegyptiaca and Acacia tortilis leaf forages. Basic Research Journal of Agricultural Sciences and review. 2013; 2: 21-26.

17. Juma HK, Abdulrazak SA, Muinga RW, Ambula MK. Effects of supplementing maize stover with Clitoria, Gliricidia and Mucuna on performance of lactating jersey cows in Coastal Lowland Kenya. Tropical and Subtropical Agro ecosystems. 2006; 6: 1-7.

18. Njarui DMG, Mureithi JG, Wandera FP, Muinga RW. Evaluation of four forage legumes as supplementary feed for Kenya dual-purpose goat in the semi-arid region of Eastern Kenya. Tropical and Subtropical Agro ecosystems. 2003; 3: 65-71.

19. Shaver RD, Undersander DJ, Schwab EC, Hoffman PC, Lauer J, Combs DK, Hoffman PC. Evaluating forage quality for lactating dairy cows. In Proceedings of International Mountain Nutrition Conference, Salt Lake City, Utah. 2002; 77-94.

20. Lanyasunya TP, Wang HR, Chek AL, Mukisira EA, Abdulrazak SA. Effect of maturity on the mineral content of the Giant Commelina benghalensis. Research Journal of Biological Sciences. 2006; 1: 74-78.

21. Cherney DJ, Siciliano-Jones J, Pell AN .Technical note: forage in vitro digestibility as influenced by donor source in the donor cow diet. Journal of Animal Science. 1993; 71: 1335-1338.

22. Van Soest PJ. Nutritional Ecology of the Ruminant, 2nd ed. 1994; Ithaca, NY: Cornell University Press.

23. Arthington JD, Brown WF. Estimation of feeding value of four tropical forage species at two stages of maturity. Journal of Animal Science. 2005; 83: 1726 1731.

24. Leng RA. The potential of forage supplements to manipulate rumen protozoa to enhance protein to energy ratios in ruminants fed poor quality grass. Proceedings of FAO expert consultations, Animal Production and Health paper. 1992; 107: 177-358.

25. Norton BW. The nutritive value of tree legumes. In: Gutteridge R.C. and Shelton H.M. (Eds.), Forage tree legumes in tropical agriculture, CAB International, 1994; 177-191.

26. Nguyen TM, Inger L, Uden P, Dinh VB. Nitrogen balance in goats fed Flemingia (Flemingia macrophylla) and Jackfruit (Artocarpus heterophyllus) foliage based diets and effects of a daily supplementation of Polyethylene Glycol (PEG) on intake. Asian-Australian Journal of Animal Sciences. 2002; 82: 699-707.

27. Leng RA. Factors affecting the utilization of poor quality forages by ruminants particularly under tropical conditions. Nutrition Research Reviews. 1990; 3: 277-303.

28. ARC (Agricultural Research Council). Report of the protein group of the Agricultural Research Council Working Party on the nutritional requirements of ruminants. 1984; Commonwealth Agricultural Bureaux Farnham Royal.

29. Ramanzin M, Bailon L, Beni G. Varietal differences in rumen degradation of barley, wheat and hard wheat straws. Anim. Prod. 1991; 53: 143-150.

30. Youngquist JB, Carter DC, Leng MD. Grain and forage yield and stover quality of sorghum and millet in low rainfall environments. Exp. Agric. 1990; 26: 279-286.

31. Norton BW. Differences between species in forage quality. In: Proceedings of an International Symposium on Nutritional Limits to Animal Production from Pastures, St. Luica, Queensland Australia, 24-28 September 1981, 89-110.

32. NRC (National Research Council). Nutrient requirements of beef cattle. 6th revised edition, 1984; National Academy Press, Washington D.C.

33. NRC (National Research Council). Nutrient requirements of dairy cattle. 7th rev. ed. 2001; National Academy Sciences, Washington, DC.