Data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis

In this article, five variables including type of substrates, sizes of substrates, mass ratio of spawn to substrates (SP/SS), temperature and pretreatment of substrates were used to model mycelium growth in Pleurotus sp. (oyster mushroom) cultivation by using agricultural wastes via two level factor...

Full description

Saved in:
Bibliographic Details
Main Authors: Noor Athirah, Dzulkefli, Norazwina, Zainol
Format: Article
Language:English
Published: Elsevier Inc. 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/33404/1/Data%20on%20modeling%20mycelium%20growth%20in%20pleurotus%20sp.%20cultivation%20by%20using%20agricultural.pdf
http://umpir.ump.edu.my/id/eprint/33404/
https://doi.org/10.1016/j.dib.2018.09.008
https://doi.org/10.1016/j.dib.2018.09.008
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.33404
record_format eprints
spelling my.ump.umpir.334042022-12-28T02:58:07Z http://umpir.ump.edu.my/id/eprint/33404/ Data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis Noor Athirah, Dzulkefli Norazwina, Zainol QD Chemistry TA Engineering (General). Civil engineering (General) TP Chemical technology In this article, five variables including type of substrates, sizes of substrates, mass ratio of spawn to substrates (SP/SS), temperature and pretreatment of substrates were used to model mycelium growth in Pleurotus sp. (oyster mushroom) cultivation by using agricultural wastes via two level factorial analysis. Two different substrates which were empty fruit bunch (EFB) and sugarcane bagasse (SB) were used. Analysis of Variance (ANOVA) for both mycelium extension rate (M) and nitrogen concentration in mycelium (N) showed that the confidence level was greater than 95% while p-value of both models were less than 0.05 which is significant. The coefficient of determination (R2) for both M and N were 0.8829 and 0.9819 respectively. From the experiment, the best condition to achieve maximum M (0.8 cm/day) and N (656 mg/L) was by using substrate B, 2.5 cm size of substrate, 1:14 for SP/SS, incubated at ambient temperature and application of steam treatment. The data showed that EFB can be used to replace sawdust as a media for the oyster mushroom cultivation. Data analysis was performed using Design Expert version 7.0. Elsevier Inc. 2018-10 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/33404/1/Data%20on%20modeling%20mycelium%20growth%20in%20pleurotus%20sp.%20cultivation%20by%20using%20agricultural.pdf Noor Athirah, Dzulkefli and Norazwina, Zainol (2018) Data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis. Data in Brief, 20. pp. 1710-1720. ISSN 2352-3409 https://doi.org/10.1016/j.dib.2018.09.008 https://doi.org/10.1016/j.dib.2018.09.008
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QD Chemistry
TA Engineering (General). Civil engineering (General)
TP Chemical technology
spellingShingle QD Chemistry
TA Engineering (General). Civil engineering (General)
TP Chemical technology
Noor Athirah, Dzulkefli
Norazwina, Zainol
Data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis
description In this article, five variables including type of substrates, sizes of substrates, mass ratio of spawn to substrates (SP/SS), temperature and pretreatment of substrates were used to model mycelium growth in Pleurotus sp. (oyster mushroom) cultivation by using agricultural wastes via two level factorial analysis. Two different substrates which were empty fruit bunch (EFB) and sugarcane bagasse (SB) were used. Analysis of Variance (ANOVA) for both mycelium extension rate (M) and nitrogen concentration in mycelium (N) showed that the confidence level was greater than 95% while p-value of both models were less than 0.05 which is significant. The coefficient of determination (R2) for both M and N were 0.8829 and 0.9819 respectively. From the experiment, the best condition to achieve maximum M (0.8 cm/day) and N (656 mg/L) was by using substrate B, 2.5 cm size of substrate, 1:14 for SP/SS, incubated at ambient temperature and application of steam treatment. The data showed that EFB can be used to replace sawdust as a media for the oyster mushroom cultivation. Data analysis was performed using Design Expert version 7.0.
format Article
author Noor Athirah, Dzulkefli
Norazwina, Zainol
author_facet Noor Athirah, Dzulkefli
Norazwina, Zainol
author_sort Noor Athirah, Dzulkefli
title Data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis
title_short Data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis
title_full Data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis
title_fullStr Data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis
title_full_unstemmed Data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis
title_sort data on modeling mycelium growth in pleurotus sp. cultivation by using agricultural wastes via two level factorial analysis
publisher Elsevier Inc.
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/33404/1/Data%20on%20modeling%20mycelium%20growth%20in%20pleurotus%20sp.%20cultivation%20by%20using%20agricultural.pdf
http://umpir.ump.edu.my/id/eprint/33404/
https://doi.org/10.1016/j.dib.2018.09.008
https://doi.org/10.1016/j.dib.2018.09.008
_version_ 1753788556962168832
score 13.159267