Submit manuscript...
Journal of
eISSN: 2377-4312

Dairy, Veterinary & Animal Research

Research Article Volume 7 Issue 6

An in vitro assessment of nutritive value of nine roughages supplemented with concentrates containing graded levels of ground linseed “Linum usitatissimum”

Tegene Negesse, Merga Baysssa, Sandip Banerjee

School of Animal and Range Sciences, College of Agriculture, Hawassa University, Ethiopia

Correspondence: Tegene Negesse, School of Animal and Range Sciences, College of Agriculture, Hawassa University, P.O.Box 5, Hawassa, Ethiopia, Tel 251-916-827711

Received: November 12, 2018 | Published: December 28, 2018

Citation: Negesse T, Baysssa M, Banerjee S. An in vitro assessment of nutritive value of nine roughages supplemented with concentrates containing graded levels of ground linseed “ Linum usitatissimum ” . J Dairy Vet Anim Res. 2018;7(6):304-312. DOI: 10.15406/jdvar.2018.07.00231

Download PDF

Abstract

Effect of supplementing ground linseed (LS) plus concentrates (C)=0%LSC-8%LSC) [39.32,37.32,35.32, 33.32,31.32% noug cake=Guizoita abyssinica+58.99% wheat bran+1.69%salt+0,2,4,6 and 8% LS, respectively, as fed basis] to Roughages=R (barley straw=BS, Coffee parchment=CPa, coffee pulp=CPu, haricot bean haulm=HBH, Maize stover=MaS, finger millet stover=MiS, Rhodes grass hay=RGH, teff straw=TS and wheat straw=WS) on overall degradability of dry mater (IVDMD) and organic matter (IVOMD], production of short chain fatty acids (SCFA), microbial protein (MCP) and metabolizable energy (MEr) and relative feed values (RFV) were assessed in vitro. Ground LSC and R were mixed at 1:3 ratios. About 200mg of each mix was incubated in duplicate in-vitro with rumen fluid [obtained from 3 sheep fed on Rhodes grass (Chloris gayana Kunths) hay and concentrate] an aerobically with a mineral buffer solution in to a calibrated glass syringe @100 ml and flushed with CO2. Syringes were pre-warmed (39oC) for 1h, 30ml of rumen-buffer mixture was added into each syringe, incubated in the water bath and gently shaken on an hourly basis during the first 8 h of incubation. Data was recorded at 0,3,6,12,24,48,72 and 96 hrs of incubation. Average gas volume readings were fitted to exponential equation:

Y= a + b ( 1   e ct ) MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbacbaaaaaaa aapeGaamywaiabg2da9iaabccacaWGHbGaaeiiaiabgUcaRiaabcca caWGIbGaaeiia8aadaqadaqaa8qacaaIXaGaaeiiaiabgkHiTiaabc cacaWGLbWdamaaCaaabeqaa8qacqGHsislcaWGJbGaamiDaaaaa8aa caGLOaGaayzkaaaaaa@4656@

Where Y, volume of gas produced at a given time‘t’ (ml); a, gas produced from soluble fractions (ml); b, gas produced from insoluble but with time fermentable fraction (ml); c, rate of fermentation (ml/hr); t, time at measurement (h). MEr, SCFA, digestible OM (DOM) and MCP were estimated from 24h gas volume:-

MEr (kj/kg DM)= 46 Gv (ml/200 mg DM per 24h)+7 CP+22.4 EE+1242; SCFA (mmol L-1)=0.0239 x Gv–0.601; DOM (g/kg DM)=OM (g/kg DM) x IVOMD (%); MCP (g/kg DM)=DOM x 0.032);and RFV=88.9- 0.78 x ADF x 120/NDF/1.29

Where Gv, CP, EE, OM, IVOMD, ADF and NDF are gas volume (ml 200mg-1DM), crude protein, ether extract and organic matter (g kg-1 DM) and acid detergent fiber and neutral detergent fiber (%DM) of incubated samples. CP, IVDMD and IVOMD were higher in LSC-R than R’s alone but lower than in LSCs indicating that values of R’s were improved by mixing with LSCs. Roughages (BS, HBH, MaS, MiS, TS and WS) had higher IVOMD than IVDMD which were influenced by inclusion of LS but not by levels. General trend in improvement of IVDMD and IVOMD of the LSC-R were recorded at 2 and 4% of LSC. However at higher concentrations of LS general tendencies of decline were observed. Production of MCP of R was improved by mixing with LSC; while highest MCP was obtained at 0%LSC which also had highest DOM content indicating linseed had less impact on the parameters. Lowest ME was from TS (5.96 MJ/kg DM) and highest from most Rs (from 7.02 to 7.30 MJ/kg DM), while CPa and BS had intermediate values. ME content of BS (6.81 to 7.08 MJ/kg DM), MiS (7.02 to 7.50 MJ/kg DM) and WS (5.96 to 6.58 MJ/kg DM) improved by 2%LS. SCFA of roughages increased over incubation periods and WS with lower SCFA (0.52 mMol/l) was raised to 0.63mMol/l with levels of LS; and that of CPu with highest SCFA (0.71 mMol/l) diminished to 0.52 mMol/l. RFV of Rs (compared to good quality alfalfa hay=100% RFV) was improved (p<0.05) when supplemented with LSC. CPa and CPu had higher RFV than the rest. Best results of SCFA, MCP, ME and RFV were obtained by mixing roughages with 2% LSC, however mixing with 4% LSC has also moderately influenced the traits.

Keywords: concentrate, gas test, linseed, metabolizable energy, roughages, short chain fatty acid

Introduction

One of the major constraints influencing the animal production in Ethiopia is inadequate nutrition, both in terms of quality and quantity. Crop residues constitute more than 90% of the feed resources available forruminant livestock in most of the developing countries1 and Ethiopia being no exception. Livestock in Ethiopia are generally reared on natural pasture and crop residues which are of low feeding value, thus leading to lower productivity. During the dry season livestock lose their body condition quite rapidly as the as the scanty feed resources are unable to even meet their basic requirements.2‒4 Most roughages are deficient in protein, minerals and vitamins, are highly lignified, of low digestibility and, therefore, unable to provide even their basic nourishment.5 Efficient utilization of agricultural and agro-industrial byproduct as feed could help improve the nutritional status of livestock.6 Limitations of nutrient supply from natural pasture could be improved by supplementing them with concentrates. Inclusion of nutritious feed such as linseed containing concentrates can improve the nutritive status of roughages by supplying the basic nutrients viz. protein, energy and essential fatty acids.7 Studies indicate that linseed depresses methane production in the rumen, and thus reduces the energy loss and improves energy utilization of ruminant livestock.8 In general, linseed or its byproducts such as linseed cake are generally used as a supplement to cereal crop residues for feeding ruminants. Although linseed is used as a supplement to crop residues for feeding ruminants and abundant amount of linseed is produced in Ethiopian, limited information is available when linseed is given with crop residues. Evaluations using in vitro techniques are relatively simple and economical and allow evaluations of feed. Energy, rumen fermentation characteristics and microbial biomass synthesis.9 The study was conducted with the objectives of evaluating the effects of supplementing some crop residues (wheat straw, barley straw, teff straw, finger millet stover, haricot bean haulm, maize stover) coffee by-products (coffee parchment and coffee pulp) and grass (Rhodes grass hay) with a concentrate containing graded levels of ground linseed on in vitro dry matter and organic matter digestibility, total short chain fatty acids (SCFA) productions, microbial protein production and metabolizable energy (ME)value of the roughages and the concentrate-roughage mixtures.

Material and methods

Experimental site, sample collection and processing

The in vitro studies and laboratory analyses were conducted in Animal Nutrition laboratory of School of Animal and Range Sciences of the College of Agriculture of Hawassa University, southern Ethiopia. Linseed, wheat bran, noug cake, coffee byproducts and crop residues were purchased from local markets of Hawassa. The crop residues (Table 1) and concentrate (Table 2) were dried in an oven at 65oC for 72hours. Samples were then milled using Wiley Mill to pass through a 1.0 mm screen for the in vitro gas test and proximate analysis

No

Feed stuff

Abbr.

Species name

1

Barley straw

BS

Hordeum vulgare L.

2

Coffee parchment

CPa

Coffee arabica

3

Coffee pulp

CPu

Coffee arabica

4

Haricot bean haulm

HBH

Phaseolus vulgaris L.

5

Maize stover

MaS

Zea mays

6

Finger millet stover

MiS

Eleusine coracana

7

Rhodes grass hay

RGH

Chloris gayana K.

8

Teff straw

TS

Eragros tisteff

9

Wheat straw

WS

Triticum aestivum

Table 1 The roughages used for the in-vitro gas test

Ingredients

Ingredients of LSC (%, as fed)

LSC1

LSC2

LSC3

lSC4

LC5

Wheat bran

58.99

58.99

58.99

58.99

58.99

Linseed

0

2

4

6

8

Noug cake

39.32

37.32

35.32

33.32

31.32

Salt

1.69

1.69

1.69

1.69

1.69

Roughages

LSC

BS

CPa

CPu

HBH

MaS

MiS

RGH

TS

WS

LSC1

LSC1-BS

LSC1-CPa

LSC1-CPu

LSC1-HBH

LSC1-MaS

LSC1-MiS

LSC1-RGH

LSC1-TS

LSC1-WS

LSC2

LSC2-BS

LSC2-CPa

LSC2-CPu

LSC2-HBH

LSC2-MaS

LSC2-MiS

LSC2-RGH

LSC2-TS

LSC2-WS

LSC3

LSC3-BS

LSC3-CPa

LSC3-CPu

LSC3-HBH

LSC3-MaS

LSC3-MiS

LSC3-RGH

LSC3-TS

LSC3-WS

LSC4

LSC4-BS

LSC4-CPa

LSC4-CPu

LSC4-HBH

LSC4-MaS

LSC4-MiS

LSC4-RGH

LSC4-TS

LSC4-WS

LSC5

LSC5-BS

LSC5-CPa

LSC5-CPu

LSC5-HBH

LSC5-MaS

LSC5-MiS

LSC5-RGH

LSC5-TS

LSC5-WS

Table 2 Composition of the concentrates (LSC, % as fed) and experimental design (LSC mixed with the roughages at 1:3 ratio)
LSC, linseed+concentrate (LSC1, 0%LS, LSC2, 2%LS, LSC3, 4%LS, LSC4, 6%LS and LSC5, 8%LS); BS, barley straw; CPa, coffee parchment; CPu, coffee pulp; HBH, haricot bean haulm; MaS, maize stover; MiS, finger millet straw; RGH, Rhodes grass hay; TS, teff straw; WS, wheat straw

Experimental design and treatments

The experimental design is shown in Table 2. The 9 roughages were mixed with each of the concentrates, containing five levels of ground linseed, giving rise to 45 combinations. The roughage to concentrate ratio used for in-vitro analysis was 3:1. The in-vitro gas tests were done in duplicate and thereafter averaged.

In-vitro gas test

Rumen liquor was obtained from three rams fed on Rhodes grass (Chloris gayana Kunths) hay and concentrate in the morning, prior to feeding using a vacuum pump connected to a glass vacuum container and a semi-flexible oro-ruminal probe, flushed with CO2, the collected liquor was filtered through three layers of cheesecloth. The filtered rumen fluid was pooled and mixed (1:2, v/v) with an anaerobic mineral buffer solution as earlier described10 and further revised.11 200mg (of each) of the air dried and ground (passed through 1.00 mm sieve) sample was incubated in-vitro with rumen fluid in to a calibrated glass syringe of 100ml.12 All the samples were assessed in duplicate and then averaged. The piston of the syringe was then lubricated with pure oil to ease its movement and to prevent the escape of the collected gas. The syringes were pre-warmed (39°C) for 1h, before the addition of 30ml of rumen fluid-buffer mixture into each syringe, thereafter; the filled syringes were gently shaken on an hourly basis for the first eight hours of the incubation. Readings (gas collected) from the syringes were recorded at 0, 3, 6, 12, 24, 48, 72 and 96h of incubation. The average gas volume readings (a, b and c) were fitted to the exponential equation:

P=a + b ( 1  e ct ) MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaKqbGbbaaaaaaa aapeGaamiuaiabg2da9iaadggacaqGGaGaey4kaSIaaeiiaiaadkga caqGGaqcfa4damaabmaajuaybaWdbiaaigdacaqGGaGaeyOeI0Iaae iiaiaadwgacqGHsisljuaGpaWaaWbaaKqbGfqabaWdbiaadogacaWG 0baaaaWdaiaawIcacaGLPaaaaaa@4782@ 13,14

using the Neway computer program (X.B Chen, Rowet Research Institute, Aberden)

where P, volume of gas produced at time‘t’ (ml); a, gas produced from soluble fractions (ml); b, gas produced from insoluble but fermentable fraction (ml); a+b, potential gas production, c, rate of gas production (ml/hr); t, time at measurement (h).Gas volume from 24h was used to estimate metabolisable energy (ME), organic matter digestibility (OMD) & total SCFAs.15,16

  1. IVOMD(g/kgDM)=8.89GV(ml/200mgDM per 24h)+0.448CP(g/kgDM)+0.651 crudeash (g/kgDM)+149
  2. MEr(kJ/kg DM)=146 GV (ml/200mg DM per 24h)+7 CP (g/kg DM)+22.4EE (g/kg DM)+1242
  3. SCFA m mol L-1)=0.0239 x GV–0.601

Where GV, CP and EE are gas volume (ml 200 mg-1 DM), crude protein and ether extract (g kg-1 DM) contents of the incubated samples, respectively. Digestible organic matter (DOM) and microbial crude protein (MCP) productions were then calculated using the following equations: Digestible organic matter (g/kg DM) =OM (g/kg DM) x IVOMD (%)

Microbial crude protein (g/kg DM)=DOM x 0.03217

Microbial N production I at t1/2=diet N+ΔNH3–N–NDFN at t1/2;18

Where ΔNH3–N=NH3–N in 0h blanks-NH3–N in diet incubations at t1/2.19

Relative feed value

The relative feed value (RFV) is an index used to rank feeds relative to the typical nutritive value of full bloom alfalfa hay, containing 41% ADF and 53% NDF on a DM basis, and having an RFV of 100, which is considered to be a standard score.

RFV=(DDM (%DM) x DMI (%BW))/1.29.20

Where, DDM (digestible dry matter) and DMI (dry matter intake potential as % of body weight) were calculated from ADF and NDF, respectively as:

DDM (% DM)=88.9-0.78 x ADF (% DM) and DMI (%BW)=120/NDF (% DM), thus RFV=[(88.9-0.78 x ADF (%DM)) x (120/NDF(%DM))]/1.29.

Chemical analyses

The representative samples were analyzed for dry matter (DM), crude protein (CP) and ether extract (EE) and ash contents.21 Nitrogen was determined according to Kjeldhal method and protein was calculated as N x 6.25. Neutral detergent fiber (NDF) was determined according to Van Soest et al.,22 while acid detergent fiber (ADF) and acid detergent lignin (ADL) according to Robertson23 using the Ankom Fiber Analyzer (Ankom Technology, 2005). Hemicelluloses were computed as a difference between NDF and ADF, and cellulose as a difference between ADF and ADL contents.

Statistical analysis

The rumen fluid was obtained in duplicate from 3 healthy Arsi Bale rams using stomach tube. The data were analyzed using SPSS v 19 for Windows. The means were calculated using descriptive statistics while they were compared using Duncan’s multiple range test. The values were considered significant at P<0.05 Means for the in Sacco analysis of the data were fitted to the equation13 using SAS 9.0 Institute (2004) software.24

Results and discussion

Nutrient content of the feed ingredients, roughage and concentrates

The nutrient content of the feed ingredients used for concentrate making, roughages (crop residues; coffee byproducts and Rhodes grass hay: RGH) and the concentrates are presented in Tables 3. As presented in Table 3 the crude protein (CP) content of the roughages varied between 5.05 (BS) and 10.85% on DM basis (HBH). Except BS, MaS and TS all other roughages have CP content (7.64-8.865DM) very close to the minimum CP requirements (8%) required for the multiplication of rumen microbes, or maintenance CP (7.2%) requirement of ruminants or the minimum CP (7.0%) that limits intakes.25‒27 Thus most of these roughages could provide fairly good amount of CP to ruminants. The CP content of the concentrates was reasonably high when compared to the roughages and thus complimented with the CP value of the roughages when three parts of it was mixed with one part of the concentrates containing graded levels of linseed. The levels of Neutral detergent fiber (NDF) differed among the roughages with values ranging from CPa (39%DM) to WS (76%DM). While, the Acid detergent fiber (ADF) values constituted about two third of the portion of the NDF in the roughages (27 and 45%DM in CPa and WS, respectively). However, ADL constituted more than 2/3 of the ADF of the roughages, which could possibly be related to the over maturity of the crops, coffee berries and the grass when harvested. An increase in the values of lignin in the straw was reported as the finger millet crop matures.28 The NDF content of MiS as assessed as 62.5% and it was observed to be the least in MiS heads.29 The study further indicates that the LSC-R mixtures had higher CP values when compared to those of the corresponding Rs alone, however the value was lower than those of the concentrates. The CP content of Rs were lower than that of minimum recommended requirements needed for lactation (120g/kg DM) and growth (113g/kg DM) of ruminants;30 and also for early (19%CP) and late (13%CP) lactation.31 It was also less than that (15%CP) required for optimum growth of growing cattle32 but the values of HBH had slightly lower CP content needed for the minimum growth requirements.

Roughages

DM, %

Nutrient content (% DM)

 

 

 

 

CP

 

Ash

OM

EE

CP

NDF

ADF

ADL

%DOM

g/MJ ME

BS

96.01f

10.60de

89.94ab

0.085cd

5.05a

69.70cd

39.70d

30.53de

7

9.6

CPa

95.20de

7.98b

92.01e

0.120e

8.78e

39.21a

26.95a

17.05a

11.1

15.2

CPu

92.01a

8.73c

91.26d

0.060bc

8.86e

40.96a

30.34ab

20.13ab

15.2

15.8

HBH

93.49c

9.68d

90.32bc

0.095de

10.85f

56.07b

46.15e

36.15f

14.3

19.2

MaS

94.16d

8.88c

91.11d

0.090cde

5.69b

70.84d

34.09bc

24.09bc

8.6

10.5

MiS

95.50ef

9.20cd

90.80cd

0.035bc

7.64d

67.23cd

34.92cd

24.92bc

11.6

13.8

RGH

94.63de

8.79c

91.20d

0.070cd

7.43cd

65.75c

31.35ab

21.35ab

11.4

13.9

TS

95.32ef

7.32a

92.68f

0.02a

6.82c

71.24d

37.83cd

27.83cd

9

12.6

WS

92.68b

10.31e

89.69a

0.030ab

7.72d

75.70e

45.27e

35.27ef

12.3

15

Concentrate-linseed mixtures

               

LSC1

92.31bc

7.19

92.82

0.15a

17.00ab

51.51

20.13

5.95

21.3

24.6

LSC2

91.15a

8.04

91.96

0.21b

18.69a

50.76

19.7

6.11

23.5

27

LSC3

92.38bc

7.49

92.52

0.23b

20.24c

46.18

19.13

5.4

25.5

28.3

LSC4

92.93c

7.32

92.69

0.24bc

19.71bc

48.18

20.12

5.39

24.1

26.8

ISC5

91.39ab

7.02

92.99

0.27c

20.65c

44.52

19.14

5.71

25.3

27.4

Table 3 The nutrient content of roughages and concentrate-linseed mixtures that were used for the in-vitro trial
Means for roughages and concentrate-linseed mixtures within columns with different superscript letters were significantly different (p<0.05).
ADF, acid detergent fiber; ADL, acid detergent lignin; CP, crude protein; DM, dry matter; EE, ether extract; LSC, linseed containing concentrate;
NDF, neutral detergent fiber; OM, organic matter; BS, barley straw; CPa, coffee parchment; CPu, coffee pulp; HBH, haricot bean haulm; MaS, maize stover;
MiS, finger millet straw; RGH, Rhodes grass hay; TS, teff straw; WS, wheat straw

In vitro dry matter and organic matter digestibility and calculated digestible organic matter

The in vitro dry matter and organic matter digestibility (IVDMD, IVOMD) and calculated digestible organic matter contents (DOM, g/kg DM) of the roughages and concentrates are presented in Table 4 and their mixtures in Table 5. As shown in Table 4, CPa had the highest but TS and MiS had the lowest IVDMD. However, CPa had highest whereas CPu had the lowest IVOMD and DOM (p<0.05) respectively; and from among those having DOM values in between, BS, HBH and TS had higher DOM than the rest. The IVOMD and DOM contents of the concentrates were only slightly higher than those of most of the roughages.

   

Parameters

           
               

Roughages

IVDMD

IVOMD

DOM

GV ml/200 mg DM

ME

SCFA mMol/l

MCP

 

RFV

   
 

%

 %

g/kg DM

 

MJ/kg DM

g/kg DM

g/kg DOM

%

BS

38.59b

80.70e

723d

27.2ab

5.25ab

0.59ab

23.1d

31.95

47.57b

CPa

62.03e

86.16e

788f

30.7f

5.79f

0.67g

25.2f

31.98

39.03a

CPu

56.36d

64.37a

583a

29.6e

5.62e

0.64ef

18.7a

32.08

35.17a

HBH

51.10c

84.51e

759e

29.7ef

5.65ef

0.65fg

24.3e

32.02

33.95a

MaS

34.08ab

72.50cd

661c

28.4cd

5.43cd

0.62cde

21.1c

31.92

53.97c

MiS

32.58a

73.38d

660c

28.9de

5.52de

0.63def

21.1c

31.97

51.16bc

RGH

36.61ab

71.44c

650bc

27.7bc

5.34bc

0.60abc

20.8cd

32

54.29c

TS

32.90a

82.19e

762e

28.2bcd

5.40bcd

0.61bcd

24.4e

32.02

50.29bc

WS

36.71ab

69.63b

628b

26.5a

5.16a

0.57a

20.1b

32

45.49b

Concentrate

IVDMD

IVOMD

DOM

GV

ME

SCFA

MCP

   

LSC1

 

85.83

797

30.5a

6.92a

0.67

25.5

31.99

 

LSC2

 

86.63

797

30.5a

6.92a

0.69

25.5

31.99

 

LSC3

 

85.8

794

31.0ab

7.16ab

0.68

25.5

32.16

 

LSC4

 

88.2

818

32.0ab

7.36bc

0.71

26

31.78

 

ISC5

 

87.63

815

33.0c

7.53c

0.72

26

31.9

 

Table 4 In vitro DM and OM digestibility, gas volume, ME, short chain fatty acids, digestible organic matter, microbial crude protein production and relative feed value of the crop residues and concentrates
Means for household wastes and concentrates within columns with different superscript letters were significantly different (p<0.05).
DOM, digestible organic matter; GV, gas volume; IVDMD, in vitro dry matter degradability; IVOMD, in vitro organic matter degradability; LSC, linseed containing concentrate; MCP, microbial crude protein; ME, metabolizable energy; RFV, relative feed value; SCFA, short chain fatty acid; BS, barley straw; CPa, coffee parchment; CPu, coffee pulp; HBH, haricot bean haulm; MaS, maize stover; MiS, finger millet straw; RGH, Rhodes grass hay; TS, teff straw; WS, wheat straw

LSC-R mix

Parameters

             

IVDMD %

IVOMD %

GV, ml/200mg DM

ME, MJ/kg DM

SCFA, mMol/l

DOM, g/kg DM

MCP

 

RFV%

             

g/kg DM       

g/kg

DOM

0%LSC-BS

45.14e

83.51hijk

29.02defghijk

5.56cdefghijkl

0.63fghi

751p

24.03hijklm

32

49.51ij

2%LSC-BS

44.56e

80.28e

26.92cd

5.32cd

0.58d

702f

22.46de

31.99

51.84lmn

4%LSC-BS

43.20d

80.78ef

27.25de

5.29c

0.59de

738l

23.62ghijk

32.01

47.07g

6%LSC-BS

55.72k

81.45efg

27.68def

5.35cde

0.61def

709g

22.69def

32

49.91ijk

8%LSC-BS

57.37l

68.08b

19.01a

4.08a

0.39a

599a

19.18a

32.02

47.03g

0%LSC-CPa

58.92mn

89.13qr

31.94jklm

6.03jklmn

0.68lmnop

786v

25.14nopqrs

31.98

46.69g

2%LSC-CPa

60.11mn

72.69c

31.44hijklm

5.94hijklmn

0.68lmnop

766r

24.50klmnop

31.98

68.94s

4%LSC-CPa

62.66op

83.70ijkl

32.30klm

6.04klmn

0.68lmnop

793x

25.39pqrs

32.02

40.55cd

6%LSC-CPa

59.21mn

88.65pqr

32.94m

6.12n

0.68lmnop

759q

24.28ijklmn

31.99

42.87ef

8%LSC-CPa

69.59r

76.35d

32.02jklm

5.97ijklmn

0.68lmnop

790wx

25.29opqrs

32.01

35.34a

0%LSC-CPu

58.92mn

88.72pqr

31.40klm

6.05lmn

0.71pq

824C

26.36tu

31.99

46.71g

2%LSC-CPu

60.06mn

72.32c

21.76ab

4.54b

0.46b

632c

20.21b

31.98

68.93s

4%LSC-CPu

62.41op

83.64ijkl

29.10defghijkl

5.54cdefghij

0.63ghij

830D

26.54u

31.98

40.55cd

6%LSC-CPu

58.70m

88.77pqr

32.43lm

6.08mn

0.72q

739l

23.64ghijk

31.99

41.76de

8%LSC-CPu

68.66r

76.08d

29.20defghijkl

5.58cdefghijkl

0.51c

673d

21.53c

31.99

35.55b

0%LSC-HBH

62.03o

86.46no

31.45hijklm

5.93ghijklmn

0.70nopq

793x

25.38pqrs

32.01

42.32ef

2%LSC-HBH

62.03o

86.46no

28.63defghij

5.54cdefghij

0.62efgh

734k

23.49fghij

32

43.61f

4%LSC-HBH

62.03o

86.46no

27.79def

5.39cdef

0.61def

799y

25.58qrst

32.02

38.68b

6%LSC-HBH

62.03o

86.46no

31.35ghijklm

5.94hijklmn

0.69nopq

716h

22.92defg

32.01

38.61b

8%LSC-HBH

62.03o

86.46no

27.96defg

5.44cdefg

0.60def

749op

23.95hijklm

31.98

39.51bc

0%LSC-MaS

53.61j

85.52lmno

31.42hijklm

5.90ghijklmn

0.69nopq

804z

25.70rstu

31.97

54.89qr

2%LSC-MaS

44.94e

82.55fghij

29.27defghijkl

5.55cdefghijk

0.64hijk

744mn

23.82ghijkl

32.02

55.68r

4%LSC-MaS

48.32gh

81.74efghi

28.76defghij

5.51cdefghi

0.63fghi

793x

25.36pqrs

31.98

52.01lmno

6%LSC-MaS

35.22a

76.15d

30.52efghijklm

5.84efghijklmn

0.67klmno

743m

23.79ghijk

32.02

51.65lmn

8%LSC-MaS

40.07c

84.00jklm

29.75defghijklm

5.66cdefghijklmn

0.65hijkl

772s

24.71lmnopq

32.01

49.59ij

0%LSC-MiS

54.11j

87.21opq

30.41efghijklm

5.76cdefghijklmn

0.66jklmn

788vw

25.20nopqrs

31.98

54.81qr

2%LSC-MiS

47.38fg

83.89jkl

30.96fghijklm

5.90ghijklmn

0.68lmnop

801yz

25.64qrstu

32.01

50.96jkl

4%LSC-MiS

46.82f

83.12ghijk

27.70def

5.35cde

0.60def

771s

24.66lmnopq

31.98

51.52klm

6%LSC-MiS

51.26i

85.82mno

29.27defghijkl

5.59cdefghijklm

0.64hijk

729j

23.31efghi

31.98

53.57opq

8%LSC-MiS

60.31n

84.64klmn

29.84defghijklm

5.67cdefghijklmn

0.66ijklm

771s

24.66lmnopq

31.98

51.15jkl

0%LSC-RGH

62.17o

87.27opq

30.32efghijklm

5.76cdefghijklmn

0.66jklmn

782u

25.03nopqr

32.01

54.54pqr

2%LSC-RGH

49.05h

82.91ghijk

28.39defgh

5.47cdefgh

0.62efgh

749op

23.97hijklm

32

50.99jkl

4%LSC-RGH

49.25h

81.62efgh

27.87def

5.39cdef

0.61def

696e

22.28cd

32.01

51.28klm

6%LSC-RGH

66.80q

87.11op

24.24bc

4.85b

0.52c

724i

23.15defgh

31.98

52.53lmno

8%LSC-RGH

44.23de

81.89efghi

29.34defghijkl

5.64cdefghijklmn

0.64hijk

750op

23.99hijklm

31.99

52.97mnop

0%LSC-TS

63.68p

81.27efg

31.83ijklm

5.97ijklmn

0.70opq

815B

26.08stu

32

54.66qr

2%LSC-TS

82.70t

65.07a

30.98fghijklm

5.81defghijklmn

0.68lmnop

800y

25.58qrst

31.98

52.49lmno

4%LSC-TS

78.84s

81.84efghi

29.03defghijkl

5.54cdefghij

0.63ghij

807A

25.81rstu

31.98

53.32nopq

6%LSC-TS

68.50r

87.35opq

31.32ghijklm

5.88fghijklmn

0.69nopq

747no

23.91hijklm

32.01

52.37lmno

8%LSC-TS

54.03j

83.05ghijk

28.47defghi

5.47cdefgh

0.62efgh

759q

24.29ijklmn

32

49.21i

0%LSC-WS

59.99mn

89.29r

24.16bc

4.83b

0.51c

620b

19.85ab

32.02

49.95ijk

2%LSC-WS

56.07kl

86.93op

29.73defghijklm

5.62cdefghijklm

0.65hijkl

750op

24.01hijklm

32.01

52.10lmno

4%LSC-WS

65.75q

87.10op

31.02fghijklm

5.82defghijklmn

0.69mnopq

777t

24.85mnopqr

31.98

48.87hi

6%LSC-WS

57.04l

87.19opq

29.90defghijklm

5.67cdefghijklmn

0.66ijklm

777t

24.86mnopqr

31.99

48.71hi

8%LSC-WS

37.74b

87.06op

28.88defghij

5.53cdefghij

0.63fghi

761q

24.34jklmno

31.98

47.38gh

Table 5 In vitro digestibility, gas volume, ME, short chain fatty acids, digestible organic matter, microbial CP production and relative feed value of the concentrate-roughage mixtures
Means within columns with different superscript letters are significantly different (p<0.05) LSC, linseed containing concentrate; IVDMD, in vitro dry matter degradability; IVOMD, in vitro organic matter degradability; GV, gas volume; ME, metabolizable energy; SCFA, short chain fatty acid; DOM, digestible organic matter; LSC, linseed containing concentrate; MCP, microbial crude protein; RFV, relative feed value; MCP (g/kg DM), DOM (g/kg DM) x 0.032
17 AFRC, 1993; BS, barley straw; CPa, coffee parchment; CPu, coffee pulp; HBH, haricot bean haulm; MaS, maize stover; MiS, finger millet straw; RGH, Rhodes grass hay; TS, teff straw; WS, wheat straw

Gas volume (GV)

The results of gas volume are presented in Tables 5 & Table 6. The volume of gas is linearly
associated with IVDMD, IVOMD, ME and SCFA. CPa had the highest GV followed by those of CPu and
HBH while the GV was lowest from WS, the others were intermediate between the two. The amount of linseed influenced the GV which was enhanced with the amount of concentrates. The amount of gas produced was slightly higher than those of the roughages, thus there was no significant increment in GV when LSC was added to the roughages. In most of the mixtures, 0 and 4%LSC-R produced more GV than the rest of the mixtures.

Metabolizable energy

The ME contents of the roughages, concentrates and their mixtures are presented in Table 4 & Table 5
respectively. The ME contents varied less amongst the roughages (5.25 to 5.79MJ/kg DM for WS and CPa, respectively). The ME content of Rs with LSC improved linearly from 6.92 to 7.52MJ/kg DM with increasing levels of linseed inclusion. The ME content of the roughages improved by mixing them with the concentrates, although the improvement was relatively low at 2% inclusion of LSC, while the values reduced among CPu by inclusion of 2%LSC. The ME content of most of the roughages improved through mixing with LSC (0, 6 and 8%).The highest ME was observed at0% and 6%LSC, however it was contrary when LSC was included at 2 and 4% levels. The ME contents of CPu reduced by inclusion of 2%LSC. The ME content of BS enhanced by the inclusion of concentrate but without linseed (0%LSC).The study further indicated that at most of the levels of LSC supplementation, the ME content of CPu, MaS, RGH, TS and WS improved when compared to those of the roughages. As these roughages were low in ME values, inclusion of LSC at 0,6 and 8%improved the ME values in the concentrates. A general trend of reduction in volume of gas with increasing levels of linseed in the concentrates was also observed. This was further elaborated with the changes in the ME content of the different concentrate mixes. The study further indicates that the concentrates derived on any LSC and those with 6% linseed (6%LSC) had the highest ME values among most of the roughages except those of MiS, RGH and WS.

Short chain fatty acids

The values calculated for the production of short chain fatty acids (SCFA, mMol/l) of the roughages and concentrate-roughage mixtures (LSC-roughage) from the in vitro gas test are presented in Tables 4 & Table 5. The findings indicate that the highest SCFA (P<0.05) was recorded from CPa, HBH and CPu while the lowest values were observable from WS, with the other values (p<0.05) lying between the two above mentioned extremes. The concentration of in vitro SCFA production of most of the roughages enhanced by mixing them with the linseed-containing concentrates. The study further indicated that higher values of SCFA was recorded in most of the roughages, except those of MiS, RGH and WS, where the higher levels were assessed at 0%LSC and 6%LSC supplementation. It can further be concluded that there was no correlation between the levels of LS with those of SCFA production. The SCFA production of most of the roughages was not significantly influenced by mixing with the concentrates and also with the level of LS. However, the values of the SCFA varied when BS, CPu and WS were mixed with LSC, the findings are in consonance with that of total VFA concentration of steers fed spear grass hay alone which was 54.9mm and did not change significantly when supplemented with Spirulina platensis, Chlorella vulgaris, Dunaliella salina cells and cotton seed meal (52.3, 57.1, 51.3, 61.5 mM, respectively).33 The findings from Table 3 further indicates that among the studied crop residues the CP values were highest in CPa, CPu and HBH, consecutively they too produced the highest amount of SCFA (Table 5). The present findings varied from earlier reports where significantly higher levels of SCFA was produced by feeds which had higher levels of nitrogen (0.74 to 0.78mMol/250mg) than lower N (0.74 to 0.78mMol/mg).19 High concentration of SCFA can also be correlated with higher MCP yield. The findings from the present study indicate that N from different roughages did not influence the SCFA, which are in agreement with total VFA concentration (mM) that did not differ between different diets.34 The in vivo studies too indicated similar trends in sheep35 or cows.36

Microbial crude protein

The calculated microbial crude protein (MCP) production from the roughages and concentrate-roughage mixtures17 are presented in Tables 4 & Table 5. he MCP production of the concentrates (calculated from DOM) did not vary significantly (25.5±0.3 for 0%LSC and 26.2±0.4 g/kg DM for 6%LSC), the observations are in accordance with the findings of concentrates containing varying protein levels (16-19% CP in the dry matter).37 The tables indicate that the increment of MCP was lowest in CPu and WS based diet, while the levels from HBH and CPa were the highest. The findings too show that the CP: ME ratio and also CP: DOM values were quite high in HBH (19.2g CP/MJ ME and 143g CP/kg DOM) which might be attributed to comparatively less energy available for the microbes to convert the CP to MCP and thus influencing the MCP yield which was enhanced by supplementing the diet with the concentrates when compared to rest of the Rs. The study also indicates that the feeding value of the roughages with low MCP (CPu and WS) improved when mixed with the concentrates, this was more when compared to diets with potentially high MCP viz. HBH and CPa. In most of the cases diets containing 2 and 8%LSC led to reduction in MCP production while it improved at 0, 4 and 6%LSC. The linear improvement in MCP was observed from 2- 6 %LSC, thereafter there was a decline which was recorded at 8%LSC. The actual MCP yield, (although not the efficiency, 4-5g MCP/MJME), was improved by supplementing the roughages with the concentrates, however, the levels of LS had variable influence on this parameter. Findings of a study indicated that efficiency of microbes was approximately 10g MP/MJ ME17 while other findings indicated values between 7 to 14g MP/MJ ME38 which are much higher than the present findings. Efficiency of microbial production of roughages and LSC-R mixtures was about 32g MCP/kg DOM. The CP content of the roughages was assessed to range between70 and 152g/kg DOM (BS and CPu, respectively) while the corresponding values in the concentrates were between (213 to 255g/kg DOM). The higher CP values in the concentrates improved the efficiency of microbial CP production in the concentrate based diets. The results from different studies have indicated variable efficiencies some of which are in agreement with the present studies for the roughages and LSC-roughage mixtures, while higher and lower values too have been reported by several authors. The result of a study39 indicated that 30 grams of microbial N/kg in truly degraded organic matter; while it was reported that the supply of microbial protein to the ruminants per unit of feed ingested varied from 14 to 60 g N/kg of digestible OM.30 Microbial efficiency expressed as grams microbial N/kg DM and organic matter ranged from 21 to 27; and 35 to 44, respectively.40 Microbial biomass yield in concentrates and forages was assessed to vary between 211 and 303g/kg TDOM, respectively.41 Among the lactating cows when proportion of roughage was reduced from 40 to 32 %, the organic matter apparently degraded in the rumen (OMADR) yield around 22g of MCP/100g High proportion of roughages in the ration (extremely low energy) yielded only 15 to 20g MCP/100g OMDR, whereas with high levels of concentrates in the ration resulted in14 to 18g MCP/100g OMADR42 the findings are in close agreement with the present results. Efficiency of microbial production in the rumen of steers fed spear grass hay alone or when supplemented with Dunaliella, cotton seed meal, Spirulina and Chlorella were 52, 57, 91, 91 and 106g MCP/kg DOMI, respectively.33 Although this efficiency is influenced by the intake, the figures, when converted to per unit of DOM, are more or less in agreement with the present MCP values. In a study it was reported that the breakdown of carbohydrate in the presence of adequate ammonia results in enhancement of microbial protein.43 Thus it can be concluded that with readily soluble and fermentable protein the protein to energy ratio show a decreasing trend in the rumen, the trend was also similar in the roughages, when added with feed containing relatively higher amount of energy. This was what was observed in the roughages when supplemented with the energy rich concentrate. The results are in consonance with earlier findings who also observed that among the several factors influencing the synthesis of microbial protein, the availability and synchronization between energy and nitrogen compounds (N) in the rumen play a primordial role.44 The findings too are indirectly in accordance with earlier findings who too observed similar enhancements when roughages were supplemented with concentrates. Microbial biomass yield from purified diets vary considerably which might be attributed to the quality of the diets.45,46 Diets containing up to 31 or even 39% NSC and RDP values from 11.8 and 13.7% on DM basis supported enhanced MCP synthesis when compared to a diet containing 25% NSC and 9% RDP.47 The efficiency of MCP synthesis was 11 to 20% greater in sheep given diets with CHO source (barley) synchronous with rapeseed meal when compared to those asynchronous with urea.46 The NRC system assumes that the amount of protein required by the microorganisms is equivalent to the amount of MCP produced in the rumen; however all of the MCP is available to the animals metabolizable protein (MP) therefore the differences.48 The NRC calculates true protein content in rumen microorganisms as 80% times crude protein, the rest 20% is nucleic acid.48 The NRC estimate is that only 80% of the true protein in microorganisms is actually absorbed by the animal.48 Thus, even though enough protein must be supplied to meet the total CP requirements of the microorganism, this amount of CP only supplies 0.64 times (0.80 x 0.80=0.64) its weight as MP.49

Relative feed value

Calculated relative feed value (RFV) of the roughages and concentrate-roughage mixtures are presented in Tables 4 & Table 5. The results indicate that lowest (p<0.05) RFV of the roughages was obtained from CPa, CPu and HBH, while the highest (p<0.05) values were from MaS and RGH. In general the RFV of the roughages, which is closely related with ADF and NDF contents, which improved by the addition of concentrates. The findings further indicate that 0%LSCresulted in improvement in almost all the roughages this was followed by inclusion of 2%LSC. With the supplementation of the concentrates, CPa, CPu and HBH had highest increment in the RFV, contrary it was lowest in BS, TS and WS vis-a-vis that of good quality alfalfa hay. The RFV of the other feeds (MaS, MiS and RGH) were not very much influenced by supplementation of LSC. The concentrate without linseed (0%LSC) improved the RFV significantly while there was no improvement in RFV by inclusion of linseed in the concentrate alone contrary there was some reduction in RFV in the roughages. In general no visible trend in RFV was observed with the increasing levels of linseed in the concentrate. Thus, it can be concluded that mixing three parts of the roughages with one part of concentrates improved the overall nutritive value by enhancing the CP, DOM, ME, total SCFA, MCP production and RFV. The level of linseed added to the concentrate up to 4 % had a synergistic effect with the roughages and concentrates and hence could be recommended.

Summary and conclusion

The in vitro gas tests conducted on nine different types of roughages supplemented with concentrates containing five levels (0, 2, 4, 6 and 8%) of ground linseed (LSC) revealed significant improvements of the roughage-LSC mix in their CP (smallest CP of BS and MaS (5.05 and 5.69%, respectively) was raised to over 11.71 and 19.85% CP, respectively at 0%LSC) and ME (from WS and BS (5.16 and 5.25 MJ ME/kg DM, respectively) was slightly raised to 5.56 at 0%LSC and 5.82 at 4%LSC, respectively) contents and IVOMD (from CPu and WS (64.37 and 69.63%, respectively) to 88.72 and 89.29% at 0%LSC, respectively); production of SCFA (from CPu and BS (0.57 and 0.59 mMol/l, respectively) it was very raised to 0.71 and 0.63 mMol/l at 0%LSC) and MCP (from CPU (18.7 g/kg DM) it was improved to 26.36 and 26.54 g/kg DM at 0 and 4%LSC, respectively) and RFV (from HBH, CPu and CPa (33.95, 35.17 and 39.03%) it was raised to 42.32, 46.71 and 46.69% at 0%LSC and to 43.61, 48.93 and 48.94% at 4%LSC, respectively). The crude protein and ME contents of the roughages were improved by mixing them with the concentrates. The in-vitro gas test revealed that potential OM degradability and thus DOM content was numerically improved; when roughages were mixed with the concentrates although improvements were not significant. This improvement was because of change in the CP and ME value of the roughages due to LSC supplementation. The influence of the level of linseed was variable and in most cases was not significant. The SCFA production of roughages were increased over the incubation periods when the roughages were mixed with the concentrates and the increment was moderately and consistently influenced by the higher levels of linseed in the concentrates. That less gas and SCFA, and more microbial N, were recovered in N-rich versus N-low incubations, together with the findings that TSDOM were unaffected by N level, supports the hypothesis of a shift in partitioning of substrate use from SCFA–gas complex to MCP.19 The MCP production of the Rs was improved by mixing them with the concentrates; the highest MCP was obtained with 0%LSC which corresponds with the highest DOM content of the mixtures. Improved utilization of the protein is only possible through an increased degradability in the rumen and conversion of this degraded protein to microbial protein. The relative feed value (which is very closely related with ADF and NDF contents) of the roughages were improved very much when supplemented with the concentrate. The RFV of the roughages was improved by the addition of concentrate. Coffee pulp, coffee parchment, finger millet straw and teff straw when supplemented with the concentrates had much higher RFV as compared to good quality alfalfa hay which is considered to have 100% RFV. However, barley straw, haricot bean haulm, Rhodes grass hay, maize stover and wheat straw had lower RFV. It can thus be concluded that mixing three parts of the roughages with one part concentrates improved the
nutritive value of the mixture in terms increasing CP, ME, total SCFA production. The level of linseed in the concentrate up to 4% or 6% has supported the positive effect of mixing the roughages with the concentrates and could as such be recommended.

Acknowledgements

None.

Conflits of interest

The author declares that there are no conflicts of interest.

References

  1. Tchinda B, Wegad D, RM Njwe, et al. Rumen degradation of elephant grass supplemented with graded levels of perennial peanut by West African Dwarf sheep. Department of Animal Production. 1993.
  2. Ahn JH, BM Robertson, Elliot R, et al. Quality assessment of tropical browse legumes: tannin content and protein degradation. AnimFeedSciTech.198;27(1‒2):147‒156.
  3. Kibon A, Ørskov ER. The use of degradation characteristics of browse plants to predict intake and digestibility by goats. Animal Production. 1993;57:247‒251.
  4. Okojie JA. The role of government and universities of Agriculture in improving animal production and consumption in Nigeria. Trop J Anim Sci. 1999;2:1‒7.
  5. Preston TR, Leng RA. Supplementation of diets based on fibrous residues and byproducts. Straw and other fibrous By‒products as feed. Elsevier, Amsterdam. 1984.
  6. Getachew G, Makkar HPS, Becker K. Method of polyethylene glycol application to tannin containing browses to improve microbial fermentation and efficiency of microbial protein synthesis from tannin‒containing browses. Anim Feed Sci Tec. 2001;92(1‒2):51‒57.
  7. Lardy GP, Anderson VL. Alternative feeds for ruminants. Bulletin AS‒1182. 1999.
  8. Machmuller A, Ossowski DA, Kreuzer M. Comparative evaluation of the effects of coconut oil, oilseeds and Crystalline fat on methane release, digestion and energy balance in lambs. Anim Feed Sci Technol. 2000;85(1‒2):41‒60.
  9. Krishnamoorthy U, Chandrapal Singh K, Kailas MM. Evaluation of roughages for rumen microbial biomass synthesis. Indian Veterinary Journal. 2005;82(4):453‒454.
  10. Makkar HPS, Blümmel M, Becker K. Formation of complexes between polyvinyl pyrrolidones or polyathylene glycols and tannins, and their implication in gas production and true digestibility in in‒vitro techniques. British Journal of Nutrition. 1995;73(6):897‒913.
  11. Makkar HPS. Quantification of tannin in tree foliages. FAO/IAEA. 2000.
  12. Menke KH, Steingass H. Estimation of the energetic feed value obtained from chemical analysis and gas production using rumen fluid. Anim Res Dev. 1988;28:7‒55.
  13. Ørskov ER, McDonald I. The estimation of protein degradability in the rumen from incubation measurements weighted according to rate of passage. Journal of Agricultural Science. 1970;92:499‒503.
  14. Blümmel M, Ørskov ER. Comparison of in vitro gas production and nylon bag degradability of roughages in predicting feed intake in cattle. Animal Feed Science Technology. 1993;40(2‒3):109‒119.
  15. Menke K, Raab L, Salewiski A, et al. The estimation of the digestibility and metabolisable energy content of ruminant feeding stuffs from the gas production when they are incubated with rumen liquor in‒vitro. J Agric Sci Camb. 1979;93(1):217‒222.
  16. Blümmel M, Aiple K, Steingas H, et al. A note on the stoichiometrical relationship of short chain fatty acid production and gas evolution in‒vitro in feedstuffs of widely differing quality. J Anim Physiol Anim Nutr. 1999;81:157‒167.
  17. AFRC. Energy and Protein Requirements of Ruminants. CAB International. 1993.
  18. Garrido O, Mann YE. Quinine composition, digestibility and energetic value of a permanent grazing pasture through the anus. 1981.
  19. Grings EE, Blummel M, Sudekum KH. Methodological considerations in using gas production techniques for estimating ruminal microbial efficiencies for silage‒based diets. Animal Feed Science and Technology. 2005;123‒124:527‒545.
  20. Uttam S, Leticia S, Dennis H, et al. Common terms used in animal feeding and nutrition. Bulletin 1367. 2010.
  21. AOAC. Official Methods of Analysis of the Official Analytical Chemists, 18th Edition. Association of Official Analytical Chemists. 2005.
  22. Van Soest PJ, Robertson JB, Lewis BA. Methods for dietary fiber, neutral detergent fiber, and non‒starch polysaccharides in relation to animal nutrition. J Dairy Sci. 1991;74(10):3538–3597.
  23. Van Soest PJ, Robertson JB. Analysis of forage and fibrous food. pp 202 in a laboratory manual for Animal Science. Cornell University Press. 1985.
  24. SAS Institute Inc. SAS/STAT User's Guide: Version 9.1th edition. Cary, North Carolina. 2004.
  25. ARC. Nutrient requirements of ruminants. Common wealth Agricultural Bureau. 1980.
  26. Milford R, Minson DJ. The relation between the crude protein content and the digestible Rude protein of tropical pasture plants. J Br Grassl Society. 1966;20(1):177‒183.
  27. Van Soest PJ. Nutritional Ecology of Ruminant. Cornel University Press. 1982.
  28. Aganga AA, Tsopito CM, Mwandamena M. Growth and nutritive value of some varieties of sorghum and millet as forage crops in Botswana. Tropical Science. 1996;36:86‒91.
  29. Ncube S, Smith T. The feeding value of crop residues from sorghum, pearl and finger millet cultivars. Matopos Research Station. 2007.
  30. ARC. The Nutrient requirements of Ruminant Livestock. Agricultural Research Council, UK. 1984.
  31. NRC, National Research Council. Nutrient Requirements of Dairy Cattle. 6th rev. edition. 1989.
  32. Parish J, Watson R, Collins M, et al. Mississippi Beef Cattle Producer Guide for Coping with Drought Conditions. 2006.
  33. Dennis Poppi, Simon Quigley. Increased efficiency of microbial protein production in the rumen through manipulation of nutrients and rumen microbial populations. Future Beef. 2013.
  34. Ashley Brooke Peterson. Estimation of rumen microbial protein production and ruminal protein degradation. 2006.
  35. Cruz Soto R, Samirah A, Muhammed SA, et al. Influence of peptides, amino acids and urea on microbial activity in the rumen of sheep receiving grass hay and on the growth of rumen bacteria in vitro. Anim Feed Sci Technol. 1994;49(1‒2):151‒161.
  36. Sannes RA, MA Messman, DB Vagnoni. Form of rumen‒degradable carbohydrate and nitrogen on microbial protein synthesis and protein efficiency of dairy cows. J Dairy Sci. 2002;85(4):900‒908.
  37. Dung VD, Weiwei Shang, Wen Yao. Effect of Crude Protein Levels in Concentrate and Concentrate Levels in Diet on In vitro Fermentation. Asia‒Australasian J Anim Sci. 2014;27(6):797–805.
  38. Lebzien P. The German protein evaluation system for ruminants under discussion. Leng R. Chapter eleven. Feeding strategies for improving milk production In the Book: Smallholder Dairying in the Tropics. 1996;10:452‒455.
  39. Stern MD, Varga GA, Clark JH, et al. Evaluation of chemical and physical properties of feeds that affect protein metabolism in the rumen. J Dairy Sci. 1994;77(9):2762–2786.
  40. Sniffen CJ, Ballard CS, Carter MP, et al. Effects of malic acid on microbial efficiency and metabolism in continuous culture of rumen contents and on performance of mid lactation dairy cows. Animal Feed Science Technology. 2006;127(1‒2):13‒31.
  41. Thirumalesh T, Krishnamoorthy U. Rumen Microbial Biomass Synthesis and Its Importance in Ruminant Production. International Journal of Livestock Research. 2013;3(2):5‒26.
  42. Hagemeister H, Lupping W, Kaufmann W. Microbial protein synthesis and digestion in the high yielding dairy cow. In: Recent developments in ruminant nutrition. Butterworks. 1981.
  43. Leng R. Chapter eleven. Feeding strategies for improving milk production In the Book: Smallholder Dairying in the Tropics. 1999;207‒224.
  44. Russell JB, O’Connor JD, Fox DG, et al. A net carbohydrate and protein system for evaluating cattle diets: I. Ruminal fermentation. J Anim Sci. 1992;70(11):3551–3561.
  45. Stokes SR, Hoover WH, Miller TK, et al. Ruminal digestion and microbial utilization of diets varying in type of carbohydrate and protein. J Dairy Sci. 1991a;74(3):871.
  46. Sinclair LA, Garnsworthy PC, Newbold JR, et al. Effect of synchronizing the rate of dietary energy and nitrogen in the diets with similar carbohydrate composition on rumen fermentation and microbial protein synthesis in sheep. Journal of Agricultural Science. 1995;124(3):463‒472.
  47. Stokes SR, Hoover WH, Miller TK, et al. Impact of carbohydrate and protein levels on bacterial metabolism in continuous culture. J Dairy Sci. 1991b;74(3):860‒870.
  48. National Research Council, NRC. Nutrient requirement of beef cattle, 7th revised Edition. National Academy Press. 1996.
  49. Agriculture and Rural Development. Nutrition and Management: Protein Requirements of Feedlot Cattle. Alberta. 2014.
Creative Commons Attribution License

©2018 Negesse, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.