2016
DOI: 10.1016/j.jclepro.2016.03.066
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A resource efficiency assessment of the industrial mushroom production chain: the influence of data variability

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Cited by 36 publications
(20 citation statements)
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“…Considering a commercial mushroom cultivation, i.e., Agaricus bisporus that can attain a yield of 40% of substrate weight (ratio of fresh mushroom weight harvested divided by the fresh weight of the substrate, multiplied by 100), every 1 kg of fresh mushroom generates 2.5 kg of fresh SMS. Emphasizing that in the cultivation of A. bisporus a casing layer is positioned over the compost, every 1 kg of fresh mushrooms generates 3.24 kg of fresh SMS, including the spent peat + limestone casing [17]. Mushrooms that have a lower conversion efficiency than A. bisporus can result in 5 kg of fresh SMS for every 1 kg of fresh mushrooms produced [18].…”
Section: Spent Mushroom Substratementioning
confidence: 99%
“…Considering a commercial mushroom cultivation, i.e., Agaricus bisporus that can attain a yield of 40% of substrate weight (ratio of fresh mushroom weight harvested divided by the fresh weight of the substrate, multiplied by 100), every 1 kg of fresh mushroom generates 2.5 kg of fresh SMS. Emphasizing that in the cultivation of A. bisporus a casing layer is positioned over the compost, every 1 kg of fresh mushrooms generates 3.24 kg of fresh SMS, including the spent peat + limestone casing [17]. Mushrooms that have a lower conversion efficiency than A. bisporus can result in 5 kg of fresh SMS for every 1 kg of fresh mushrooms produced [18].…”
Section: Spent Mushroom Substratementioning
confidence: 99%
“…SMS is often discarded as waste after mushroom harvest in many countries (Chiu et al, 1998;Hanafi et al, 2018). For every 1 kg of mushrooms produced about 5 kg of SMS remains (Zisopoulos et al, 2016). Therefore, SMS management has become a growing challenge for the mushroom production industry.…”
Section: Introductionmentioning
confidence: 99%
“…The approximation bias is likely to be small due to stable input-output relations. In general, when choosing underlying assumptions and data, it should be kept in mind that moderate variations can significantly change final estimates quantitatively and qualitatively (Zisopoulos et al 2016).…”
Section: Data and Assumptionsmentioning
confidence: 99%