Prediction of individual methane emission by dairy cattle from mid-infrared spectra

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Prediction of individual methane emission by

dairy cattle from milk mid-infrared spectra

A. Vanlierde

1 _{, C. Delfosse}

1 _{, F. Dehareng}

1 _{, E. Froidmont}

2 _{, H. Soyeurt}

3,4

_,

M. Hammida

1 _{, J.-M. Romnee}

1 _{, P. Dardenne}

1

_{Walloon Agricultural Research Centre, Valorisation of Agricultural Products Department, Gembloux, Belgium}

2

_{Walloon Agricultural Research Centre, Production and Sectors Department, Gembloux, Belgium}

3

_{University of Liège, Gembloux Agro-Bio Tech, Animal Science Unit, Gembloux, Belgium}

4

_{National Fund for Scientific Research, Brussels, Belgium}

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Introduction

• CH

₄

 12 years

• CO

₂

 100 years

• CH

₄

warming potential 20 X CO

₂

• Methane produced by ruminants

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Objectives

• Reduce CH

₄

emissions from cows

• Environment

• Breeders

• Find a quick, easy and individual method

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Objectives

• Equations of prediction for CH

₄

CH

₄

Milk MIR

spectra

(5)

(6)

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SF

₆

Method

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Experimentations

• 2 experimentations

– 2 groups : similar stage and number of lactation,

milk production

– different diets by group

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Results treatment

• Average of daily Milk Spectrum (AMS)

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First results

• Y = g CH

₄

/kg Milk

• PLS : X = MIR spectra from Lactoscope, Delta Instruments

(4000 – 400 cm

-1

₎

• Highest R²cv

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First results

0 5 10 15 20 25 30 35 40 45 50 0 5 10 15 20 25 30 35 40 45 50

Me

as

ured

CH

4 ,

g

CH

4 /kg

m

ilk

Predicted CH

₄

, g CH

₄

/kg milk

Corn silage

Fresh pasture

Grass silage

Jour 1,5

N

60 R²c

0.87 R²cv

0.78 SEC

2.90 SECV

3.67 RPD

2.17

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First results

• Correlation between FA (GC) and CH

₄

– R²cv = 0.65 versus 0.79 (MIR)

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Conclusions

• Predictions of individual CH

₄

emissions is feasible

• First classification

• Obtain more measurements to increase

variability and equation reliability

• Validate

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