通过贝类贝壳和椰子水补充 CaCO3 刺激粉红杏鲍菇(Pleurotus flabellatus)幼菌的生长和生产

Lili Yamurni, Julia Marisa, Ruth Riah Ate Tarigan
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摘要

粉红杏鲍菇(Pleurotus flabellatus)是杏鲍菇品种之一,具有类似灵芝的独特香气,色泽粉红,菌团众多,质地稍硬。本研究旨在确定通过补充贝壳和椰子水中的 CaCO3 对粉红杏鲍菇(P. flabellatus)生长和产量的刺激作用。本研究采用了完全随机设计(CRD),包含两个因子,四个水平,三次重复。第一个因子是贝壳中 CaCO3 的补充,有四个水平:K0: 0 gr/baglog, K1: 5 gr CaCO3 from shellfish shells/baglog, K2: 10 gr CaCO3 from shellfish shells/baglog, K3: 15 gr CaCO3 from shellfish shells/baglog.第二个因素是椰子水的补充,有四个水平:A0:0 毫升/袋;A1:20 毫升/袋;A2:40 毫升/袋;A3:60 毫升/袋。结果表明,菌丝生长速度存在显著差异,菌褶数量、菌褶宽度、菌褶厚度、菌柄高度和蘑菇鲜重存在高度显著差异。添加 10 克贝壳中的 CaCO3/袋液和 40 毫升椰子汁/袋液对所有参数的交互作用最好。
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Growth and Production Stimulation of Young Pink Oyster Mushrooms (Pleurotus flabellatus) through CaCO3 Supplementation from Shellfish Shells and Coconut Water
Pink oyster mushroom (Pleurotus flabellatus) is one of the oyster mushroom varieties that has a distinctive aroma similar to lingzhi mushroom, pink color, numerous clusters, and a slightly firm texture. The aim of this research was to determine the growth and production stimulation of pink oyster mushrooms (P. flabellatus) through supplementation of CaCO3 from shellfish shells and coconut water. This study utilized a Completely Randomized Design (CRD) arranged in factorial with two factors, consisting of four levels with three replications. The first factor was CaCO3 supplementation from shellfish shells with four levels: K0: 0 gr/baglog, K1: 5 gr CaCO3 from shellfish shells/baglog, K2: 10 gr CaCO3 from shellfish shells/baglog, K3: 15 gr CaCO3 from shellfish shells/baglog. The second factor was coconut water supplementation with four levels: A0: 0 ml/baglog, A1: 20 ml coconut water/baglog, A2: 40 ml coconut water/baglog, A3: 60 ml coconut water/baglog. The results showed significant differences in mycelium growth rate and highly significant differences in pileus number, pileus width, pileus thickness, stalk height, and mushroom fresh weight. Supplementation of 10 gr CaCO3 from shellfish shells/baglog and 40 ml coconut water/baglog showed the best interaction for all parameters.
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