FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2073573178> ?p ?o ?g. }

• W2073573178 endingPage "476" @default.
• W2073573178 startingPage "463" @default.
• W2073573178 abstract "Methodology of co-product handling is a critical determinant of calculated resource use and environmental emissions per kilogram (kg) product but has not been examined in detail for different sheep production systems. This paper investigates alternative approaches for handling co-production of wool and live weight (LW, for meat) from dual purpose sheep systems to the farm-gate. Seven methods were applied; three biophysical allocation (BA) methods based on protein requirements and partitioning of digested protein, protein mass allocation (PMA), economic allocation (EA) and two system expansion (SE) methods. Effects on greenhouse gas (GHG) emissions, fossil energy demand and land occupation (classified according to suitability for arable use) were assessed using four contrasting case study (CS) farm systems. A UK upland farm (CS 1) and a New Zealand hill farm (CS 2) were selected to represent systems focused on lamb and coarse-textured wool for interior textiles. Two Australian Merino sheep farms (CS 3, CS 4) were selected to represent systems focused on medium to superfine garment wool, and lamb. Total GHG emissions per kilogram total products (i.e. wool + LW) were similar across CS farms. However, results were highly sensitive to the method of co-product handling. GHG emissions based on BA of wool protein to wool resulted in 10–12 kg CO2-e/kg wool (across all CS farms), whereas it increased to 24–38 kg CO2-e/kg wool when BA included a proportion of sheep maintenance requirements. Results for allocation% generated using EA varied widely from 4 % (CS 1) to 52 % (CS 4). SE using beef as a substitution for sheep meat gave the lowest, and often negative, GHG emissions from wool production. Different methods were found to re-order the impacts across the four case studies in some instances. A similar overall pattern was observed for the effects of co-product handling method on other impact categories for three of the four farms. BA based on protein partitioning between sheep wool and LW is recommended for attributional studies with the PMA method being an easily applied proxy for the more detailed BA methods. Sensitivity analysis using SE is recommended to understand the implications of system change. Sensitivity analysis using SE is recommended to investigate implications of choosing alternative products or systems, and to evaluate system change strategies in which case consequential modelling is appropriate. To avoid risks of burden shifting when allocation methods are applied, results should be presented for both wool and LW." @default.
• W2073573178 created "2016-06-24" @default.
• W2073573178 creator A5035181891 @default.
• W2073573178 creator A5042114305 @default.
• W2073573178 creator A5044134122 @default.
• W2073573178 creator A5071526992 @default.
• W2073573178 creator A5075996849 @default.
• W2073573178 creator A5085624706 @default.
• W2073573178 date "2015-01-28" @default.
• W2073573178 modified "2023-10-02" @default.
• W2073573178 title "Application of life cycle assessment to sheep production systems: investigating co-production of wool and meat using case studies from major global producers" @default.
• W2073573178 cites W1789199237 @default.
• W2073573178 cites W1963766635 @default.
• W2073573178 cites W1965972436 @default.
• W2073573178 cites W1968886926 @default.
• W2073573178 cites W1974184169 @default.
• W2073573178 cites W1977877759 @default.
• W2073573178 cites W1998292684 @default.
• W2073573178 cites W2010581199 @default.
• W2073573178 cites W2013998004 @default.
• W2073573178 cites W2023212578 @default.
• W2073573178 cites W2031066860 @default.
• W2073573178 cites W2053999210 @default.
• W2073573178 cites W2059893713 @default.
• W2073573178 cites W2068303762 @default.
• W2073573178 cites W2076729643 @default.
• W2073573178 cites W2079368120 @default.
• W2073573178 cites W2083165756 @default.
• W2073573178 cites W2084979527 @default.
• W2073573178 cites W2096235821 @default.
• W2073573178 cites W2105207331 @default.
• W2073573178 cites W2160942221 @default.
• W2073573178 cites W2163134060 @default.
• W2073573178 cites W2182772690 @default.
• W2073573178 cites W2315853737 @default.
• W2073573178 cites W2401072514 @default.
• W2073573178 cites W4244856318 @default.
• W2073573178 doi "https://doi.org/10.1007/s11367-015-0849-z" @default.
• W2073573178 hasPublicationYear "2015" @default.
• W2073573178 type Work @default.
• W2073573178 sameAs 2073573178 @default.
• W2073573178 citedByCount "65" @default.
• W2073573178 countsByYear W20735731782014 @default.
• W2073573178 countsByYear W20735731782015 @default.
• W2073573178 countsByYear W20735731782016 @default.
• W2073573178 countsByYear W20735731782017 @default.
• W2073573178 countsByYear W20735731782018 @default.
• W2073573178 countsByYear W20735731782019 @default.
• W2073573178 countsByYear W20735731782020 @default.
• W2073573178 countsByYear W20735731782021 @default.
• W2073573178 countsByYear W20735731782022 @default.
• W2073573178 countsByYear W20735731782023 @default.
• W2073573178 crossrefType "journal-article" @default.
• W2073573178 hasAuthorship W2073573178A5035181891 @default.
• W2073573178 hasAuthorship W2073573178A5042114305 @default.
• W2073573178 hasAuthorship W2073573178A5044134122 @default.
• W2073573178 hasAuthorship W2073573178A5071526992 @default.
• W2073573178 hasAuthorship W2073573178A5075996849 @default.
• W2073573178 hasAuthorship W2073573178A5085624706 @default.
• W2073573178 hasBestOaLocation W20735731781 @default.
• W2073573178 hasConcept C118518473 @default.
• W2073573178 hasConcept C127413603 @default.
• W2073573178 hasConcept C139719470 @default.
• W2073573178 hasConcept C140793950 @default.
• W2073573178 hasConcept C162324750 @default.
• W2073573178 hasConcept C166957645 @default.
• W2073573178 hasConcept C18903297 @default.
• W2073573178 hasConcept C205649164 @default.
• W2073573178 hasConcept C2524010 @default.
• W2073573178 hasConcept C2775951321 @default.
• W2073573178 hasConcept C2778348673 @default.
• W2073573178 hasConcept C2778706760 @default.
• W2073573178 hasConcept C3019953569 @default.
• W2073573178 hasConcept C33923547 @default.
• W2073573178 hasConcept C37621935 @default.
• W2073573178 hasConcept C39432304 @default.
• W2073573178 hasConcept C47737302 @default.
• W2073573178 hasConcept C48824518 @default.
• W2073573178 hasConcept C71762439 @default.
• W2073573178 hasConcept C78519656 @default.
• W2073573178 hasConcept C86803240 @default.
• W2073573178 hasConcept C90673727 @default.
• W2073573178 hasConceptScore W2073573178C118518473 @default.
• W2073573178 hasConceptScore W2073573178C127413603 @default.
• W2073573178 hasConceptScore W2073573178C139719470 @default.
• W2073573178 hasConceptScore W2073573178C140793950 @default.
• W2073573178 hasConceptScore W2073573178C162324750 @default.
• W2073573178 hasConceptScore W2073573178C166957645 @default.
• W2073573178 hasConceptScore W2073573178C18903297 @default.
• W2073573178 hasConceptScore W2073573178C205649164 @default.
• W2073573178 hasConceptScore W2073573178C2524010 @default.
• W2073573178 hasConceptScore W2073573178C2775951321 @default.
• W2073573178 hasConceptScore W2073573178C2778348673 @default.
• W2073573178 hasConceptScore W2073573178C2778706760 @default.
• W2073573178 hasConceptScore W2073573178C3019953569 @default.
• W2073573178 hasConceptScore W2073573178C33923547 @default.
• W2073573178 hasConceptScore W2073573178C37621935 @default.
• W2073573178 hasConceptScore W2073573178C39432304 @default.

• next