Screening for Cultivation Medium Formula and Economic Benefit Analysis of Auricularia polytricha with Cassava Stalk Sawdust
The optimal medium formula with cassava stalk sawdust as main material for cultivation of Auricularia Polytricha was screened to provide a reference for harmless treatment and resource utilization of industrial waste of cassava.The experiment was conducted with four cultivation medium formulas of Auricularia polytricha.37 ％ mulberry sawdust,wood sawdust,cotton seed hull and cassava bagasse were added into basal culture medium(45 ％ cassava stalk sawdust + 15 ％ bran +2 ％ lime + 1％ gypsum),respectively.The formula with 35 ％wood sawdust,52 ％ cotton seed hull,5 ％ bran,2 ％ lime and 1％ gypsum was conducted to be the control group.During experiment period,the mycelial growth,sporocarp production,biological efficiency and economic benefits of Auricularia polytricha were analyzed comparatively.The result indicated that,formula which supplemented with wood sawdus was the optimal cultivation medium for mycelial growth with 4.33 cm/d.Except cassava bagasse,all of formula were superior in growth vigour and primordium uniformity.The cultivation medium supplemented with mulberry sawdust and wood sawdust had better performance on yield and economic benefit,with biological efficiency of 111.4 ％ and 114.1％,input-output ratio of 1 ∶ 2.11 and 1 ∶ 2.10,respectively.The cultivation medium supplemented with cotton seed hull had biological efficiency of 112.6 ％,and input-output ratio of 1∶ 1.70.The cultivation medium supplemented with cassava bagasse had the lowest biological efficiency with 96.0 ％,input-output ratio of 1∶1.93 because of its lower cost.Cassava stalk sawdust mixed with appropriate proportion of mulberry sawdust or wood sawdust could be significantly improved economic benefit of Auricularia polytricha cultivation,which should be applied and popularized in edible fungus producing regions of Guangxi.
Auricularia polytrichaCassava stalk sawdustMedium formula screeningAnalysis on economic benefits
NETL
NSTL
万方数据
维普
