Optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (RSM)

Horse manure (HM) content of nitrogen and phosphorus can improve soil nutrient as organic fertilizer. Biodegradable pineapple waste (PW) contains high organic carbon, which is also a good bulking agent if appropriately treated with HM through co-composting to optimize the better quality of the co-co...

Full description

Bibliographic Details
Main Authors: Mohd Sokri, S S, Tee, T P, Nurin, A M Y, Azhar, S, Nayan, N, Hj Suyub, I B
Format: Article
Published: IOP Publishing 2023
Online Access:http://psasir.upm.edu.my/id/eprint/110067/
_version_ 1848865423728050176
author Mohd Sokri, S S
Tee, T P
Nurin, A M Y
Azhar, S
Nayan, N
Hj Suyub, I B
author_facet Mohd Sokri, S S
Tee, T P
Nurin, A M Y
Azhar, S
Nayan, N
Hj Suyub, I B
author_sort Mohd Sokri, S S
building UPM Institutional Repository
collection Online Access
description Horse manure (HM) content of nitrogen and phosphorus can improve soil nutrient as organic fertilizer. Biodegradable pineapple waste (PW) contains high organic carbon, which is also a good bulking agent if appropriately treated with HM through co-composting to optimize the better quality of the co-compost product. The study objective was to optimize the composting quality of HM with PW via response surface methodology (RSM). Twenty treatments based on 3 level codes (-α, 0, +α) of three compositing factors, namely co-composting period (20, 25, 30 days), percentage of composition HM: PW (85:15, 90:10, 95:5) and particle size of PW (0.25, 0.50, 0.75 cm), respectively were designed using the central composite design (CCD). At the end of composting period, the carbon to nitrogen ratio (C/N), dry matter (DM), organic matter (OM), moisture content (MC), bulk density and pH were determined as co-compost qualities (dependent responses). The optimum results indicated that the Day 20 of composting period, composition 95:5 (HM: PW) and 0.25 cm of particle size had significant optimum values of 27.2 % DM, 72.8 % MC, 90.3 % OM and pH 6.7. No significant interaction of the three factors was found on C/N ratio and bulk density by RSM analysis. Subsequently, the significant results of optimum value developed a prediction model for co- composting HM and PW.
first_indexed 2025-11-15T14:04:29Z
format Article
id upm-110067
institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T14:04:29Z
publishDate 2023
publisher IOP Publishing
recordtype eprints
repository_type Digital Repository
spelling upm-1100672024-09-05T07:20:49Z http://psasir.upm.edu.my/id/eprint/110067/ Optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (RSM) Mohd Sokri, S S Tee, T P Nurin, A M Y Azhar, S Nayan, N Hj Suyub, I B Horse manure (HM) content of nitrogen and phosphorus can improve soil nutrient as organic fertilizer. Biodegradable pineapple waste (PW) contains high organic carbon, which is also a good bulking agent if appropriately treated with HM through co-composting to optimize the better quality of the co-compost product. The study objective was to optimize the composting quality of HM with PW via response surface methodology (RSM). Twenty treatments based on 3 level codes (-α, 0, +α) of three compositing factors, namely co-composting period (20, 25, 30 days), percentage of composition HM: PW (85:15, 90:10, 95:5) and particle size of PW (0.25, 0.50, 0.75 cm), respectively were designed using the central composite design (CCD). At the end of composting period, the carbon to nitrogen ratio (C/N), dry matter (DM), organic matter (OM), moisture content (MC), bulk density and pH were determined as co-compost qualities (dependent responses). The optimum results indicated that the Day 20 of composting period, composition 95:5 (HM: PW) and 0.25 cm of particle size had significant optimum values of 27.2 % DM, 72.8 % MC, 90.3 % OM and pH 6.7. No significant interaction of the three factors was found on C/N ratio and bulk density by RSM analysis. Subsequently, the significant results of optimum value developed a prediction model for co- composting HM and PW. IOP Publishing 2023 Article PeerReviewed Mohd Sokri, S S and Tee, T P and Nurin, A M Y and Azhar, S and Nayan, N and Hj Suyub, I B (2023) Optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (RSM). Earth and Environmental Science Transactions of the Royal Society of Edinburgh, 1160. art. no. 012026. pp. 1-9. ISSN 1755-1307; ESSN: 1755-1315 https://iopscience.iop.org/article/10.1088/1755-1315/1160/1/012026/meta 10.1088/1755-1315/1160/1/012026
spellingShingle Mohd Sokri, S S
Tee, T P
Nurin, A M Y
Azhar, S
Nayan, N
Hj Suyub, I B
Optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (RSM)
title Optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (RSM)
title_full Optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (RSM)
title_fullStr Optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (RSM)
title_full_unstemmed Optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (RSM)
title_short Optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (RSM)
title_sort optimization on co-composting of horse manure with pineapple waste composition using response surface methodology (rsm)
url http://psasir.upm.edu.my/id/eprint/110067/
http://psasir.upm.edu.my/id/eprint/110067/
http://psasir.upm.edu.my/id/eprint/110067/