2014
DOI: 10.1016/j.idairyj.2014.02.005
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Carbon footprint of milk production from dairy cows in Australia

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Cited by 55 publications
(23 citation statements)
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References 8 publications
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“…The environmental outcomes of the 84 analysed farms showed mean values consistent with literature findings and with the relation between environmental sustainability and dairy farm efficiency (Pirlo 2012;Guerci et al 2013;Zucali et al 2016). Average lower values for CC (1.11 ± 0.22 kg CO 2 eq/kg FPCM) were found in Gollnow et al (2014) for Australian dairy milk production but different methodological choices may have affected this result. On average, farms producing milk for PR production have a higher environmental impact respect to those producing milk for GP production (for CC, 1.455 ± 0.374 kg CO 2 eq/kg FPCM respect to 1.379 ± 0.325 kg CO 2 eq/kg FPCM of GP farms).…”
Section: Discussionsupporting
confidence: 80%
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“…The environmental outcomes of the 84 analysed farms showed mean values consistent with literature findings and with the relation between environmental sustainability and dairy farm efficiency (Pirlo 2012;Guerci et al 2013;Zucali et al 2016). Average lower values for CC (1.11 ± 0.22 kg CO 2 eq/kg FPCM) were found in Gollnow et al (2014) for Australian dairy milk production but different methodological choices may have affected this result. On average, farms producing milk for PR production have a higher environmental impact respect to those producing milk for GP production (for CC, 1.455 ± 0.374 kg CO 2 eq/kg FPCM respect to 1.379 ± 0.325 kg CO 2 eq/kg FPCM of GP farms).…”
Section: Discussionsupporting
confidence: 80%
“…The selected Functional Unit (FU) for the analysed farms is 1 kg of Fat and Protein Corrected Milk (FPCM) (4% fat and 3.3% protein) produced by milking cows. This is a key choice for gathering effective and comparable results (Danieli and Ronchi 2018), and agrees with several studies about milk production (Bacenetti et al 2016;Dalla Riva et al 2017;Gollnow et al 2014) as well as with the recommendation by IDF (2015) which is also internationally adopted for standard decision-making on milk issues. This assessment has a 'cradle to farm gate' approach.…”
Section: Functional Unit and System Boundarysupporting
confidence: 81%
“…The current study is one of only a few that have evaluated dairy farms with year-round grazing of pasture as the dominant feed source. Others were single-year studies of 139 dairy farms across Australia (Gollnow et al, 2014) and 24 farms in Uruguay (Lizarralde et al, 2014), which had estimates for the average carbon footprint of milk of 1.1 and 1.0 kg of CO 2 eq/kg of FPCM, respectively. Two previous NZ studies of research farm systems or commercial farms from the Waikato region only had values of 0.7 to 0.8 kg of CO 2 eq/kg of FPCM (Basset-Mens et al, 2009;Chobtang et al, 2016).…”
Section: Carbon Footprint Of Milkmentioning
confidence: 99%
“…In the United States, Thoma et al (2013b) presented results based on a survey of 536 farms nationwide, but these were from part-or full-housing systems. Similarly, Gollnow et al (2014) published results from a survey of 139 farms across several regions of Australia, where cows are grazed outdoors, but for a single year. However, a literature search showed no studies where annual data on the carbon footprint of milk have been regularly assessed over a period of time.…”
Section: Introductionmentioning
confidence: 99%
“…per kilogram of product) and, therefore, take into account the positive effect that changes in system efficiency may have on environmental indicators such as GHG emissions. LCA has been applied to determine supply chain GHG emissions at the regional or national scale for milk and dairy products (Gollnow et al 2014), beef (Wiedemann et al 2015a(Wiedemann et al , 2016a, export lamb (Wiedemann et al 2015b(Wiedemann et al , 2016b and chicken meat (Wiedemann et al 2012b). The present study provides the first case study and national analysis of GHG emissions from Australian pork production using LCA.…”
Section: Introductionmentioning
confidence: 99%