With the increase of global demand for cash crops, a large of cash crop waste was produced and caused severe environmental issues. To produce Agricultural Jiaosu (AJ) using these wastes is a sustainable waste disposal method. However, the fermentation mechanism, metabolites, and microbial characteristics of AJ fermented with different substrates remain unclear. In this study, the effects of different substrates (fruit and vegetable waste and Chinese herbal medicine waste) on the fermentation characteristics of AJ, including metabolites and microbial community properties, were investigated. The results revealed that AJ fermentation was a process of converting organic matter into organic acids and other metabolites, mainly including hydrolysis, acidogenesis, and maturation stages. At the genus level, Lactobacillus, Acetobacter, Hydrogenibacillus, Halomonas, and Prevotella_1 were the dominant bacteria in the fermentation system. The bacterial diversity of composite substrate AJ was higher than that of single substrate AJ. The organic acids and secondary metabolites concentration and the composition of key microorganisms depended on the substrate type. Furthermore, AJ's potential functional genes were mainly concentrated in cofactors and vitamin, carbohydrate, and amino acid metabolism. The findings of this study indicated that AJ is an innovative eco-friendly technology that can convert cash crop wastes into sustainable eco-products, and that its characteristics depend on the substrate type. Therefore, the substrate used to produce AJ should be carefully selected according to the application field.
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http://dx.doi.org/10.1016/j.envres.2023.115727 | DOI Listing |
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Key Laboratory of Green Prevention and Control of Tropical Plant Diseases and Pests (Ministry of Education), School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
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December 2024
School of Information Technology (IT) and Engineering, Melbourne Institute of Technology, Melbourne, VIC, Australia.
Introduction: Cotton, being a crucial cash crop globally, faces significant challenges due to multiple diseases that adversely affect its quality and yield. To identify such diseases is very important for the implementation of effective management strategies for sustainable agriculture. Image recognition plays an important role for the timely and accurate identification of diseases in cotton plants as it allows farmers to implement effective interventions and optimize resource allocation.
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January 2025
Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China.
Plant Dis
December 2024
Liaoning Institute of Economic Forestry, Dalian, Liaoning, China;
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College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China.
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