NorFor Nordic feed evaluation system. - with focus on estimation of degradation parameters in practice

NorFor – Nordic feed evaluation system - with focus on estimation of degradation parameters in practice AARHUS Martin Riis Weisbjerg Faculty of Agri...
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NorFor – Nordic feed evaluation system - with focus on estimation of degradation parameters in practice

AARHUS

Martin Riis Weisbjerg Faculty of Agricultural Sciences, University of Aarhus, Denmark & Harald Volden TINE BA Norwegian University of Life Sciences U N I V E R S I TNorFor ET project group

Faculty of Agricultural Sciences

A common Nordic feed evaluation system for cattle Developed in cooperation between dairy farmer organizations in Island, Norway, Sweden and Denmark Based on earlier model developed by Harald Volden, TINE/UMB, Norway

NorFor Plan

A semi mechanistic model •Feed intake •Rumen, intestinal and hind gut digestion •Energy value based on Dutch energy evaluation system (van Es) Predict •Feed intake, energy value, rumen protein balance and absorbed amino acids, milk production and milk protein

What is included in NorFor ƒ Feed evaluation system ƒ Animal requirements ƒ Feed table (http://www.norfor.info/) ƒ Standardized feed analysis and ring tests ƒ IT development, computer tools, separate user interface in the different countries. Non-linear optimization tool

Some model interactions Sugars+starch

NDF degradation

Roughage level

Digesta passage

Intake

Microbial efficiency

Net energy

AA uptake

pdNDF

iST

pdST

Rest sST

Rest CHO

Lipids FPF

Protein

LI

iCP

Grf. 0,5 Krf. 0,1

RUMEN

kdløys. / kpvæske (TS/lev.vekt, grf:krf) kdløys. / kpvæske (TS/lev.vekt, grf:krf) kdPNST / kpKRF (TS/lev.vekt, grf:krf)

kdNDF / kp1 + kp2 / kpkrf (NDF/lev.vekt, grf:krf)

pdCP

sCP

Kdløys. / kpvæske (TS/lev.vekt, grf:krf)

iNDF

Starch

kdPNCP / kpKRF /kpGRF (TS/lev.vekt, grf:krf)

FEED

Fibre

NH3

ol , er e ys tos l G lak ga

UREA 4,6% av CPfôr

Energy and nitrogen for microbial growth

INTERMEDIARY METABOLISM

PBV

Energy

Microbal growth

Endogenous urinary-N

MCP * 0,63

iST

pdST

SMALL INTESTINE

pdNDF

sST

Rest CHO

LI

pdCP

mST

mLI

mCP

eCP

30g / kg OM to duodenum

Endogenous N

+ 60 g in intestine

AAT for hair and skin

Grf. 0,7

0,9

Krf. 0,85

Energy

0,9

0,2 0,85

0,5 0,73 0,95 Grf 0,65 Kkrf 0,85

HIND GUT

0,09

0,1

iNDF

0,1

iST

0,01

Grf. 0,3 Krf 0,15

Microbial growth

iCP

g 38 g /k

5g 10 BH gK /k

AAT to milk Utilization

4

% H 30 KB kg / 5g

0,35

H KB

AAT

0,1

Energy and nitrogen for microbial growth

0,9

0,9

Gain / mobil.

Energy

0,1

FAECES

sCP

AA in milk 0,15

0,4

NEL

Milk

Feed fractions Soluble Potentially degradable Total indigestible

”Soluble”

Protein NDF

Amino acids

Potentially degradable Total indigestible

Starch

Potentially degradable Total indigestible

Fermentation pr. Sugars Rest CHO Lipids Ash

Fatty acids

Effect of feed intake on passage rate and rumen degradation of NDF 3

70 KP NDF NDF degradability

65

2

60

1,5

55

1

50

0,5

45 10

12

14

16

18

20

Feed intake kg DM/d

22

24

26

NDF degradability, %

Passage rate, %/h

2,5

Sugar and starch in the diet

Affects the rumen environment

Rumen fermentation of NDF and microbial growth

Effect of sugars + starch on rumen degradation of NDF

68

NDF degradability, %

66 64 62 60 58 56 54 52 50 200

225

250

275

300

325

350

375

400

Sugars + starch, g/kg dry matter

425

450

Efficiency of microbial protein sythesis 220 10 kg DM

200

15 kg DM

Efficiency, g/kg TOMD

20 kg DM 25 kg DM

180

160

140

120

100 0

50

100

150

200

250

300

Starch+"rest CHO", g/kg DM

350

400

450

500

Energy supply. Net energy ƒ Calculated from total tract apparent digestibility ƒ Net energy lactation calculated from a modified version of the Dutch energy system (Van ES, 1975) ƒ Net energy growth calculated according to French, Dutch and English systems. Modifications made according to NorFor

Sensitivity analysis. NEL/kg DM 13 11 9

Sensitivity, %

7 5 3 1 -1 -3 -5 -7 -9 -11 -13 -15

kd pdCP (5.5-16.5 %/h)

sCP (600-800 g/kg CP)

iCP (1.9-5.7 g/kg CP)

iNDF (80-240 g/kg NDF)

kd pdNDF (2.3-7.0 %/h)

Sensitivity analysis. AAT, g/kg DM 11 9 7

Sensitivity, %

5 3 1 -1 -3 -5 -7 -9 -11 -13 -15

kd pdCP (5.5-16.5 %/h)

sCP (600-800 g/kg CP)

iCP (1.9-5.7 g/kg CP)

iNDF (80-240 g/kg NDF)

kd pdNDF (2.3-7.0 %/h)

Most important feed characteristics Energy value: Indigestible NDF (iNDF) Fractional rate of NDF degradation (kd NDF) Protein value: Soluble protein Indigestible NDF (iNDF) Fractional rate of NDF degradation (kd NDF)

How do we estimate these most important values on forage samples from practice ? iNDF → NIR (reference in situ) Kd NDF → ’Backwards calculation’ Soluble protein → NIR (reference buffer solubility)

iNDF (Ref), % DM

Prediction of iNDF by NIR in green samples of grass, clover and lucerne

iNDF (NIR), % DM

Eurofins Steins (2007)

’Backwards calculation’ Information needed OM digestibility Ash concentration NDF concentration iNDF concentration All except iNDF classical feed analysis Idea: NDS digestibility estimated using Lucas principle NDF digestibility calculated by difference Kd NDF ‘backwards’ calculated assuming 2 pool rumen model

kdNDF in roughage. The backward calculation method (Weisbjerg et al 2004, 2007) kd

kd kp

20 h

30 h

⎛ kd ⎛ kr ED = ⎜ ⋅ ⎜1 + ⎜ (kd + kr ⎜ (kd + kp ⎝ ⎝

kr

⎞⎞ ⎟ ⎟ ⋅ Pd ⎟⎟ ⎠⎠

Allen & Mertens, 1988

kdNDF = 1,21 ⋅ 100 ⋅ ( −0.041667 +

0.006944 +

0.0066667 ⋅ D 1− D ) − 1,24 2

Huhtanen et al, 2006

NDS = 1000 – Ash – NDF NDSFK = (101.3 – (902/NDS/10))/100 uOM = (1000 – Ash) *(1-OMD/100) uNDS = NDS*(1 – NDSFK) uNDF = uOM – uNDS NDFFK = (NDF – uNDF)/NDF pdNDF = NDF - iNDF D = NDFFK/(pdNDF/1000)

OMD estimated from sheep fed at maintenance

Status NorFor August 2008 System for dairy cows in use in practice in Norway, Sweden and Denmark, however still parallel use of old systems System for young stock planned to be introduced September 2008 Methods have been developed that enable us to analyse for most important feed degradation parameters on forage samples from practice

Some recent tests

Model test. OMD digestion 18000

16000

y = 0,981x + 259,25 2

R = 0,9885

14000

Predicted, g/d

12000

10000

8000

6000

4000

2000

0 0

2000

4000

6000

8000

10000

Observed, g/d

12000

14000

16000

18000

Model test. NDF digestion 8000,0

y = 0,96x + 180,91 R2 = 0,9734

7000,0

6000,0

predicted, g/d

5000,0

4000,0

3000,0

2000,0

1000,0

0,0 0

1000

2000

3000

4000 Observed, g/d

5000

6000

7000

8000

Model test. CP digestion 4500

4000

y = 1,0392x - 101,15 2

R = 0,9767

3500

Predicted, g/d

3000

2500

2000

1500

1000

500

0 0

500

1000

1500

2000 Observed, g/d

2500

3000

3500

4000

The end

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