Background: Transforming the abundance of palm oil mill effluent (POME) sludge into beneficial substances such as an organic amendments is vital in the recycling of waste. Vermicomposting from treated POME sludge (TPS) was evaluated on the effect of soil physicochemical properties, crop performances and to determine the best treatment effect on the biomass of the hybrid grain maize (Zea mays L.). Methods: The experimental layout was designed in a randomized complete block design (RCBD). The grain maize cultivated in Bungor series soil (Ultisol) comprising of (T1) control (NPK fertilizer), (T2) 1 kg of vermicompost, (T3) 2 kg vermicompost, (T4) 1 kg TPS and T5 (2 kg TPS) with six replications, for a period of 100 days from June to September 2019. Half of the NPK fertilizer dosage applied from the recommended practices. Result: The treatments with 50% reduction of NPK rate significantly (p less than 0.05) affected soil physicochemical properties. The dry matter production, crop performance analysis (net photosynthesis, stomata conductance and transpiration rate) and root weight density were also increased significantly using 2 kg of vermicompost treatment. Vermicompost application demonstrated the best treatment effect on soil properties and grain maize productivity. Utilization of POME sludge waste into organic amendment through vermicomposting approach would become very crucial practices to be adopted in reducing the abundance waste.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.