摘要
牛肝菌栽培一直是食用菌生产领域的研究难点,适宜的栽培料是菌丝体生长和子实体形成的重要保障.通过测定暗褐网柄牛肝菌的菌丝长势和栽培过程中理化指标以及胞外酶活性,筛选该牛肝菌菌丝体生长的最佳栽培基质.结果表明,通过测定菌丝体长势,初筛得到 5种栽培料配方,分别为C1(杨木屑 99%、生石灰 1%)、C3(橡木屑 99%、生石灰 1%)、Y1(杨木屑 50%、玉米芯 24.5%、麦麸皮 24.5%、生石灰 1%)、Y2(杨木屑50%、玉米芯 24.5%、棉籽壳 24.5%、生石灰 1%)、X2(橡木屑 50%、玉米芯 24.5%、棉籽壳 24.5%、生石灰1%).在栽培过程中,Y1 和Y2 栽培基质总有机碳、全氮含量在菌丝体生长时期均处于较高水平,且营养消耗速率快,Y2 栽培基质中羧甲基纤维素酶、半纤维素酶、淀粉酶、蛋白酶和漆酶活性均较显著高于其他组.由此可见,Y2 栽培料基质更适合暗褐网柄牛肝菌菌丝体的生长.试验结果为暗褐网柄牛肝菌菌丝体生长提供了理论依据,为暗褐网柄牛肝菌栽培奠定了重要理论基础.
Abstract
The cultivation of species belong to Boletales has been a research difficulty in the field of edible fungi production,and suitable cultivation materials are important guarantees for mycelium growth and fruit bodies formation.In this paper the best cultivation substrates for the growth of mycelium of Phlebopus portentosus were determined by measuring the mycelial growth,physicochemical indexes and extracellular enzyme activities during the cultivation process.The results showed that by measur-ing the mycelium growth,five formula of cultivation materials were obtained,wihch were C1(poplar sawdust 99%,quicklime 1%),C3(oak sawdust 99%,quicklime 1%),Y1(poplar sawdust 50%,corn cob 24.5%,wheat bran 24.5%,quicklime 1%),Y2(poplar sawdust 50%,corn cob 24.5%,cotton seed shell 24.5%,quicklime 1%),X2(oak sawdust 50%,corn cob 24.5%,cotton seed shell 24.5%,quicklime 1%).During the cultivation process of P.portentosus,the total organic carbon and total nitrogen content of Y1 and Y2 cultivation substrates were at high levels during the mycelial growth period,and the nutrient consumption rate was fast.The activities of carboxymethyl cellulase,hemicellulase,amylase,protease,and laccase in Y2 cultivation substrates were significantly higher than those in other groups.Thus,it can be seen that the substrate of Y2 cultivation material is more suitable for the mycelial growth of P.portentosus.The results provide a theoretical basis for the mycelial growth of P.portento-sus and lay an important theoretical foundation for P.portentosus cultivation.
基金项目
黑龙江省科技厅中央引导地方科技发展专项(ZY21D052)
维普
万方数据