Numerous studies support the synergistic use of biochar (BC) and plant growth-promoting rhizobacteria to enhance plant growth. Despite this, the complex and dynamic nature of soil environments necessitates further exploration of the interactions between soil microorganisms and soil properties under BC-based inoculants. This study investigated their combined effects using a BC-based inoculant, Bacillus subtilis SL-44 (BC@SL), to explore the relationship between microorganisms and soil properties. Additionally, differentiating the effects of exogenous auxiliaries BC, SL-44, and BC@SL, which can promote plant growth, enhance plant and soil enzyme activities, regulate microbial communities, and increase soil nutrient content. Compared to BC alone, SL-44 enhances plant superoxide dismutase, peroxidase, and catalase enzyme activities, while BC increases soil cellulase and urease activities. SL-44 elevates Bacillus content, whereas BC boosts overall microbial abundance. Although initial values of most soil properties remain stable under exogenous auxiliaries, by the fourth week, soil pH and organic matter decrease, while electrical conductivity, available phosphorus, and ammonium nitrogen increase significantly across treatments. BC@SL, integrating the advantages of both BC and SL-44, exhibits superior performance. Under BC@SL treatment, Bacillus content rises from 4.36% to 14.96%, and available phosphorus and ammonium nitrogen increase by 81.97% and 53.16%, respectively. Additionally, plant dry weight increases by 51.95%. These results highlight the effectiveness of BC@SL in microbial regulation, soil nutrient enhancement, and plant growth promotion. In summary, BC@SL proves to be a stable and efficient solid soil additive, supporting the advancement of green fertilizer practices.
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http://dx.doi.org/10.1016/j.jenvman.2024.123534 | DOI Listing |
Insect Sci
January 2025
College of Plant Protection, Yangzhou University, Yangzhou, China.
As the catalytic subunit of the Elongator complex, Elongator protein 3 (Elp3) plays a crucial role in multiple physiological processes, including growth, development and immune responses. Previous studies on Elp3 have focused on Caenorhabditis elegans, Drosophila melanogaster, Homo sapiens (human) or Mus musculus (mouse), whereas there are few reports on Elp3 in agricultural pests. Here, the role of TcElp3 in reproduction in the red flour beetle, Tribolium castaneum, was investigated, and the underlying mechanisms were explored.
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January 2025
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Improper use of antibiotics has led to the development of antimicrobial resistance, or "superbugs," outpacing the discovery of new antibiotics. The lack of rapid, high-throughput screening methods is a major bottleneck in discovery novel antibiotics. Traditional methods consume significant amounts of samples, making it challenging to discover new antibiotics from limited natural product extracts.
View Article and Find Full Text PDFFront Plant Sci
December 2024
Consejo Nacional de Humanidades, Ciencias y Tecnologías (CONAHCYT)-Facultad de Ciencias Químicas, Universidad Veracruzana, Orizaba, Veracruz, Mexico.
In common bean ( L.), leaf photosynthesis is significantly reduced under drought conditions. Previous studies have shown that some drought-tolerant cultivars use the pod walls to compensate the decreased photosynthesis rate in leaves by acting as temporary reservoirs of carbohydrates to support seed filling.
View Article and Find Full Text PDFFront Plant Sci
December 2024
Department of Horticulture and Crop Science, The Ohio State University, Columbus, OH, United States.
Field pennycress () is a new biofuel winter annual crop with extreme cold hardiness and a short life cycle, enabling off-season integration into corn and soybean rotations across the U.S. Midwest.
View Article and Find Full Text PDFFront Plant Sci
December 2024
Jiangxi Branch of China National Tobacco Corporation, Nanchang, China.
Due to the constraints of the tobacco leaf curing environment and computational resources, current image classification models struggle to balance recognition accuracy and computational efficiency, making practical deployment challenging. To address this issue, this study proposes the development of a lightweight classification network model for recognizing tobacco leaf curing stages (TCSRNet). Firstly, the model utilizes an Inception structure with parallel convolutional branches to capture features at different receptive fields, thereby better adapting to the appearance variations of tobacco leaves at different curing stages.
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