The Optimized Formula of Grifola frondosa Cultivation with JUNCAO

doi:10.11923/j.issn.2095-4050.cjas2020-0021

Abstract

Abstract:

Sawdust is the main culture medium of Grifola frondosa. To alleviate the contradiction between fungi and forests, the medium formula of G. frondosa was optimized through mixed material design with Phragmitas communis, Miscanthus floridulus, Saccharum arundinaceum and Dicranopteris dichotoma, and the yield of G. frondosa fruiting bodies was used as the assessment index, so as to screen the cultivation substrate and the best formula that could replace the sawdust substrate. The result showed that the appropriate proportion of Miscanthus floridulus and Dicranopteris dichotoma could replace sawdust to cultivate G. frondosa. The best formula was 45% Miscanthus floridulus, 30% Dicranopteris dichotoma, 5% wheat bran, 18% corn flour, and 2% gypsum, and the average yield per bag was 130.28 g, which was the same as that of the control formula (130.47 g).

Key words: Grifola frondosa, JUNCAO, D-optimal Mixing Design, Culture Medium, Formulation Optimization

CLC Number:

S646

Shen Xia. The Optimized Formula of Grifola frondosa Cultivation with JUNCAO[J]. Journal of Agriculture, 2021, 11(8): 64-69.

Figures/Tables 4

References 25

[1]	Mayell M. Maitake extracts and their therapeutic potential-A review[J]. Altern Med Revi, 2001, 6(1):48-60.
[2]	Cui F J, Zan X Y, Li Y H, et al. Purification and partial characterization of a novel anti-tumor glycoprotein from cultured mycelia of Grifola frondosa[J]. Int J Biol Macromol, 2013, 62(11):684-690. doi: 10.1016/j.ijbiomac.2013.10.025 URL
[3]	Chen Y H, Lee C H, Hsu T H, et al. Submerged-culture mycelia and broth of the maitake medicinal mushroom Grifola frondosa(higher basidiomycetes) alleviate type 2 diabetes-induced alterations in immunocytic function[J]. Int J Med Mushroom, 2015, 17(6):541-555. doi: 10.1615/IntJMedMushrooms.v17.i6 URL
[4]	刘佳, 包海鹰, 图力古尔. 灰树花化学成分及药理活性研究进展[J]. 菌物研究, 2018, 16(3):150-157.
[5]	吴德锦. 常见菌草菌糠营养特性及抗营养因子研究[D]. 福州:福建农林大学, 2014:13-14.
[6]	刘朋虎, 叶菁, 罗旭辉, 等. 充分发挥菌草多功能作用的思考与建议[J]. 科技导报, 2020, 38(7):20-24.
[7]	郑金英, 陈丽凤, 林占熺. 菌草产业成长及其多功能性探析[J]. 中国农学通报, 2011, 27(1):304-308.
[8]	林占熺. 菌草学[M]. 北京: 中国行政学院出版社, 2014: 87.
[9]	周晶, 林兴生, 林辉, 等. 菌草研究与应用进展[J]. 福建农林大学学报:自然科学版, 2020, 49(2):145-150.
[10]	曹秀明, 蔡杨星, 林占熺. 5种菌草草粉栽培灰树花培养基配方筛选[J]. 福建农业科技, 2019(1):14-19.
[11]	刘欢, 王朔, 尚红艳, 等. 延安地区利用菌草栽培榆黄蘑技术[J]. 江西农业, 2020(8):5-7.
[12]	薛志香, 曾峰, 曹秀明, 等. 鲜菌草栽培平菇配方筛选[J]. 北方园艺, 2019(6):147-150.
[13]	刘欣怡, 陈敏, 雷雅婷, 等. 新鲜巨菌草对平菇胞外酶活性以及栽培料营养成分变化的影响[J]. 江苏农业科学, 2020, 48(2):159-163.
[14]	雷雅婷, 陈敏, 刘欣怡, 等. 新鲜巨菌草对平菇子实体物理指标和营养成分的影响[J]. 中国食用菌, 2019, 38(11):61-68
[15]	刘欣怡, 陈敏, 雷雅婷, 等. 赤芝菌草工厂化栽培环境条件优化[J]. 北方园艺, 2019(12):122-131.
[16]	王锦锋, 林占熺. 菌草栽培赤芝培养基配方筛选[J]. 安徽农业科学, 2016, 44(35):29-31
[17]	卢政辉. 巨菌草代料栽培秀珍菇配方筛选试验[J]. 福建农业科技, 2018(4):19-22.
[18]	林兴生, 林占熺, 林辉, 等. 菌草鹿角灵芝新菌株栽培特性及活性成分分析[J]. 四川大学学报:自然科学版, 2020(1):181-185.
[19]	张昊, 李军, 汪飞, 等. 菌草羊肚菌与野生羊肚菌的品质指标测定及比较[J]. 农技服务, 2018(5):64-66.
[20]	苏德伟, 宋飞飞, 林辉, 等. 菌草竹荪子实体蛋白质营养价值评价[J]. 北方园艺, 2019(17):133-139.
[21]	宁建辉. 混料均匀试验设计[D]. 武汉:华中师范大学, 2008: 12.
[22]	曹秀明, 蔡杨星, 林占熺. 菌草栽培灰树花子实体多糖的研究[J]. 北方园艺, 2019(1):158-165.
[23]	苏贵平. 五节芒与稻草栽培双孢蘑菇对比试验[J]. 食用菌, 2013(6):36.
[24]	聂国添, 黄千慧, 苗娟, 等. 五节芒栽培糙皮侧耳的子实体质构分析[J]. 食用菌学报, 2016, 23(1):31-36.
[25]	林应兴. 菌草食用菌品质的研究现状[J]. 食药用菌, 2018, 26(2):79-83.

实验组号	木屑/%	芦苇/%	五节芒/%	斑茅/%	芒萁/%	麦麸/%	玉米粉/%	石膏/%	第1茬菇产量/(g/袋)	生物转化率/%
1	75	0	0	0	0	5	18	2	129.73±8.07	32.43
2	0	75	0	0	0	5	18	2	60.06±2.13	15.01
3	0	0	75	0	0	5	18	2	118.55±5.21	22.75
4	0	0	0	75	0	5	18	2	82.67±4.03	20.66
5	0	0	0	0	75	5	18	2	95.12±4.13	23.78
6	37.5	37.5	0	0	0	5	18	2	80.53±3.27	20.13
7	37.5	0	37.5	0	0	5	18	2	128.21±9.12	32.05
8	37.5	0	0	37.5	0	5	18	2	110.68±6.21	27.61
9	37.5	0	0	0	37.5	5	18	2	99.53±8.55	24.88
10	0	37.5	37.5	0	0	5	18	2	101.23±9.39	25.30
11	0	37.5	0	37.5	0	5	18	2	92.58±3.25	23.05
12	0	37.5	0	0	37.5	5	18	2	92.19±8.03	23.04
13	0	0	37.5	37.5	0	5	18	2	105.76±5.73	26.44
14	0	0	37.5	0	37.5	5	18	2	131.75±9.76	32.94
15	0	0	0	37.5	37.5	5	18	2	101.06±7.26	25.27
16	75	0	0	0	0	5	18	2	131.21±9.25	32.80
17	0	75	0	0	0	5	18	2	61.44±3.12	15.36
18	0	0	75	0	0	5	18	2	116.38±7.34	29.10
19	0	0	0	75	0	5	18	2	84.53±5.19	21.13
20	0	0	0	0	75	5	18	2	93.33±7.93	23.33
21	37.5	37.5	0	0	0	5	18	2	78.12±4.22	19.53
22	37.5	0	37.5	0	0	5	18	2	130.19±8.53	32.54
23	37.5	0	0	37.5	0	5	18	2	107.89±6.34	26.97
24	37.5	0	0	0	37.5	5	18	2	102.01±7.29	25.50
25	0	37.5	37.5	0	0	5	18	2	105.11±8.38	26.28
26	0	37.5	0	37.5	0	5	18	2	90.67±5.97	22.67
27	0	37.5	0	0	37.5	5	18	2	95.13±6.89	23.78
28	0	0	37.5	37.5	0	5	18	2	111.06±6.17	27.77
29	0	0	37.5	0	37.5	5	18	2	128.82±10.16	32.31
30	0	0	0	37.5	37.5	5	18	2	106.03±8.43	26.51

实验组号	木屑/%	芦苇/%	五节芒/%	斑茅/%	芒萁/%	麦麸/%	玉米粉/%	石膏/%	第1茬菇产量/(g/袋)	生物转化率/%
1	75	0	0	0	0	5	18	2	129.73±8.07	32.43
2	0	75	0	0	0	5	18	2	60.06±2.13	15.01
3	0	0	75	0	0	5	18	2	118.55±5.21	22.75
4	0	0	0	75	0	5	18	2	82.67±4.03	20.66
5	0	0	0	0	75	5	18	2	95.12±4.13	23.78
6	37.5	37.5	0	0	0	5	18	2	80.53±3.27	20.13
7	37.5	0	37.5	0	0	5	18	2	128.21±9.12	32.05
8	37.5	0	0	37.5	0	5	18	2	110.68±6.21	27.61
9	37.5	0	0	0	37.5	5	18	2	99.53±8.55	24.88
10	0	37.5	37.5	0	0	5	18	2	101.23±9.39	25.30
11	0	37.5	0	37.5	0	5	18	2	92.58±3.25	23.05
12	0	37.5	0	0	37.5	5	18	2	92.19±8.03	23.04
13	0	0	37.5	37.5	0	5	18	2	105.76±5.73	26.44
14	0	0	37.5	0	37.5	5	18	2	131.75±9.76	32.94
15	0	0	0	37.5	37.5	5	18	2	101.06±7.26	25.27
16	75	0	0	0	0	5	18	2	131.21±9.25	32.80
17	0	75	0	0	0	5	18	2	61.44±3.12	15.36
18	0	0	75	0	0	5	18	2	116.38±7.34	29.10
19	0	0	0	75	0	5	18	2	84.53±5.19	21.13
20	0	0	0	0	75	5	18	2	93.33±7.93	23.33
21	37.5	37.5	0	0	0	5	18	2	78.12±4.22	19.53
22	37.5	0	37.5	0	0	5	18	2	130.19±8.53	32.54
23	37.5	0	0	37.5	0	5	18	2	107.89±6.34	26.97
24	37.5	0	0	0	37.5	5	18	2	102.01±7.29	25.50
25	0	37.5	37.5	0	0	5	18	2	105.11±8.38	26.28
26	0	37.5	0	37.5	0	5	18	2	90.67±5.97	22.67
27	0	37.5	0	0	37.5	5	18	2	95.13±6.89	23.78
28	0	0	37.5	37.5	0	5	18	2	111.06±6.17	27.77
29	0	0	37.5	0	37.5	5	18	2	128.82±10.16	32.31
30	0	0	0	37.5	37.5	5	18	2	106.03±8.43	26.51

方差来源	平方和	自由度	均方	F值	P值	显著性
模型	10957.42	14	782.67	183.65	<0.0001	^**
线性混合模型	8419.85	4	2104.96	493.92	<0.0001	^**
AB	353.60	1	353.60	82.97	<0.0001	^**
AC	36.51	1	36.51	8.57	0.0104	^*
AD	6.75	1	6.75	1.58	0.2274
AE	178.72	1	178.72	41.94	<0.0001	^**
BC	263.67	1	263.67	61.87	<0.0001	^**
BD	504.40	1	504.40	118.36	<0.0001	^**
BE	348.73	1	348.73	81.83	<0.0001	^**
CD	82.74	1	82.74	19.41	0.0005	^**
CE	796.42	1	796.42	186.88	<0.0001	^**
DE	285.48	1	285.48	66.99	<0.0001	^**
纯误差	63.93	15	4.26
总和	11021.35	29

方差来源	平方和	自由度	均方	F值	P值	显著性
模型	10957.42	14	782.67	183.65	<0.0001	^**
线性混合模型	8419.85	4	2104.96	493.92	<0.0001	^**
AB	353.60	1	353.60	82.97	<0.0001	^**
AC	36.51	1	36.51	8.57	0.0104	^*
AD	6.75	1	6.75	1.58	0.2274
AE	178.72	1	178.72	41.94	<0.0001	^**
BC	263.67	1	263.67	61.87	<0.0001	^**
BD	504.40	1	504.40	118.36	<0.0001	^**
BE	348.73	1	348.73	81.83	<0.0001	^**
CD	82.74	1	82.74	19.41	0.0005	^**
CE	796.42	1	796.42	186.88	<0.0001	^**
DE	285.48	1	285.48	66.99	<0.0001	^**
纯误差	63.93	15	4.26
总和	11021.35	29