Nutritional Composition of Oyster Mushroom (Pleurotus ostreatus) Grown on Softwood (Daniella oliveri) Sawdust and Hardwood (Anogeissus leiocarpus) Sawdust

G. F. Ogundele

Department of Food Science and Technology, Federal Polytechnic Offa, Kwara State, Nigeria

S. W. Salawu

Department of Food Science and Technology, Federal Polytechnic Offa, Kwara State, Nigeria

I. A. Abdulraheem

Department of Food Science and Technology, Federal Polytechnic Offa, Kwara State, Nigeria

O. P. Bamidele *

Department of Food Science and Technology, Federal Polytechnic Offa, Kwara State, Nigeria

*Author to whom correspondence should be addressed.


Abstract

This study was conducted to examine the effect of two different substrates (sawdust) obtained from hardwood (Anogeissus leiocapus) and softwood (Daniellia oliveri) on nutritional composition and yield of oyster mushroom (Pleurotus ostreatus). The proximate composition, mineral content and various growth parameters were analysed on the harvested mushroom from the two substrates. The proximate composition result showed that oyster mushroom harvested from the hardwood sawdust (Anogeissus leiocapus) have the highest protein content (26.67%), ash (9.83%) and crude fibre (11.05%). The mushroom harvested from the hardwood sawdust (Anogeissus leiocapus) also had the highest mineral content with potassium having the highest (22.81 mg / 100 g). The growth assessment of the mushroom harvested from the two substrates showed that softwood sawdust (Daniellia oliveri) has a better yield than hardwood sawdust. In conclusion, hardwood sawdust (Anogeissus leiocapus) produced oyster mushroom with better nutritional quality than softwood sawdust (Daniellia oliveri).

Keywords: Oyster mushroom, sawdust, proximate composition, mineral content, substrate


How to Cite

Ogundele, G. F., S. W. Salawu, I. A. Abdulraheem, and O. P. Bamidele. 2017. “Nutritional Composition of Oyster Mushroom (Pleurotus Ostreatus) Grown on Softwood (Daniella Oliveri) Sawdust and Hardwood (Anogeissus Leiocarpus) Sawdust”. Current Journal of Applied Science and Technology 20 (1):1-7. https://doi.org/10.9734/BJAST/2017/28160.

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