Keywords

Carbon footprint; Methane; Nitrous Oxide; GHGs; dairy farm; dairyGHG model

Start Date

27-6-2018 3:40 PM

End Date

27-6-2018 5:00 PM

Abstract

DairyGHG model is a cost effective and efficient method of estimating greenhouse gas (GHG) emissions from dairy farms and analyzing how management strategies affect these emissions. Therefore, the DairyGHG model was used in this study to predict the GHG emission and assess the carbon footprints of four different dairy farms at Australia. The study was conducted in four different dairy farms distributed in different locality of Queensland, Australia. The details of the farms are: Farm 1 (220 cows; Jersey), Farm 2 (460 cows; Holstein Friesian), Farm 3 (850 cows; Holstein Friesian) and Farm 4 (434 cows; Holstein Friesian). In all the four farms the cows were fed corn silage, grain and the animals had access to grazing. The animal emission contribution to carbon footprints in Farm 1, Farm 2, Farm 3 and Farm 4 were 54.2%, 60.0%, 59.6% and 38.6% respectively. Likewise, the manure emission contribution to carbon footprints in Farm 1, Farm 2, Farm 3 and Farm 4 were 30.6%, 29.0%, 29.0% and 58.3% respectively. On the basis of per kg of energy corrected milk the amount of GHG produced in Farm 1, Farm 2, Farm 3 and Farm 4 are 0.39 kg CO2e, 0.64 kg CO2e, 0.54 kg CO2e and 1.35 kg CO2e respectively. On comparative basis, Farm 4 contributed substantially higher quantity of GHG emission while the least contribution came from Farm 1. Thus, it can be concluded from the study that Jersey breed contributes comparatively less dairy associated GHG emission as compared to Holstein Friesian breed.

Stream and Session

Stream: A

Session: A2: Open Socio-environmental Modelling and Simulation

Download
COinS
 
Jun 27th, 3:40 PM Jun 27th, 5:00 PM

Comparative assessment of carbon footprint of four dairy farms in Australia using DairyGHG Model

DairyGHG model is a cost effective and efficient method of estimating greenhouse gas (GHG) emissions from dairy farms and analyzing how management strategies affect these emissions. Therefore, the DairyGHG model was used in this study to predict the GHG emission and assess the carbon footprints of four different dairy farms at Australia. The study was conducted in four different dairy farms distributed in different locality of Queensland, Australia. The details of the farms are: Farm 1 (220 cows; Jersey), Farm 2 (460 cows; Holstein Friesian), Farm 3 (850 cows; Holstein Friesian) and Farm 4 (434 cows; Holstein Friesian). In all the four farms the cows were fed corn silage, grain and the animals had access to grazing. The animal emission contribution to carbon footprints in Farm 1, Farm 2, Farm 3 and Farm 4 were 54.2%, 60.0%, 59.6% and 38.6% respectively. Likewise, the manure emission contribution to carbon footprints in Farm 1, Farm 2, Farm 3 and Farm 4 were 30.6%, 29.0%, 29.0% and 58.3% respectively. On the basis of per kg of energy corrected milk the amount of GHG produced in Farm 1, Farm 2, Farm 3 and Farm 4 are 0.39 kg CO2e, 0.64 kg CO2e, 0.54 kg CO2e and 1.35 kg CO2e respectively. On comparative basis, Farm 4 contributed substantially higher quantity of GHG emission while the least contribution came from Farm 1. Thus, it can be concluded from the study that Jersey breed contributes comparatively less dairy associated GHG emission as compared to Holstein Friesian breed.