Fumigant dazomet induces tobacco plant growth via changing the rhizosphere microbial community

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 24, 2025

After continuous cropping for many years, crops are often subject to growth inhibition, which seriously affects their yields.In agricultural production, soil fumigation can effectively alleviate the biological stress on plants. However, relationship between microbial groups that respond changes and plants, as well whether existence makes a beneficial contribution remains unclear. We explored mechanism of promoting plant by affecting microorganisms. The results showed dazomet treatment significantly alleviated retardation tobacco, this difference was most obvious in flourishing period when height leaf area increased 3.33 times 3.24 respectively. In addition, advantage above-ground tissue correlated with root (P < 0.05). At same time, we found large number positively related roots, such g_Pedobacter, g_Microbacterium g_Brevundimonas. structural equation modeling indicated community, amount applied also roots 0.05), an important factor contributing tobacco. Overall, findings study great significance enhancing our understanding remediation may have far reaching implications practical application fumigation.

Language: Английский

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Microbial fermentation in co-ensiling forage-grain ratoon rice and maize to improve feed quality and enhance the sustainability of rice-based production systems

Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100205 - 100205

Published: Feb. 1, 2025

Language: Английский

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Effects of Pichia sp. J1 and Plant Growth-Promoting Bacterium on Enhancing Tobacco Growth and Suppressing Bacterial Wilt

Current Microbiology, Journal Year: 2025, Volume and Issue: 82(5)

Published: March 12, 2025

Language: Английский

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Heavy metal pollution migration and its ecological impact on microbial communities in the karst region of Guangxi

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 28, 2025

This study examines the factors driving heavy metal pollution in karst soils and assesses associated environmental risks. Using a representative depression Guangxi as case study, we measured soil concentrations of arsenic (As), cadmium (Cd), lead (Pb), zinc (Zn). These were analyzed relation to physicochemical properties, morphology, geological understand dynamics migration patterns. The findings highlight As dominant contaminant, primarily existing highly mobile, reduced form. Further analysis shows that its mobility is strongly influenced by pH available phosphorus (AP), emphasizing interplay between chemistry pollutant behavior. area, dominated limestone strata, experiences changes oxidative conditions due rainfall, which significantly influence accumulation migration. presence abundant iron manganese oxides further amplifies these effects. According Hakanson index, contamination surface presents high ecological risk surrounding environment. Microbial reveals positive correlation Proteobacteria both total concentration chemical forms As. bacteria demonstrate resistance contribute increased residual content, thereby reducing toxicity mobility. Additionally, thrive As-contaminated with low nutrient levels, highlighting their potential for bioremediation. positions promising microbial group managing region.

Language: Английский

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Competing Benefits and Competing Hazards: The Benefit to Harm Balance in Individual Patients in Rational Therapeutics

Drug Safety, Journal Year: 2024, Volume and Issue: 47(8), P. 721 - 731

Published: April 30, 2024

Language: Английский

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Comparative study of machine-and deep-learning based classification algorithms for biomedical Raman spectroscopy (RS): case study of RS based pathogenic microbe identification

Analytical Sciences, Journal Year: 2024, Volume and Issue: 40(12), P. 2101 - 2109

Published: Aug. 29, 2024

One key aspect pushing the frontiers of biomedical RS is dedicated machine- or deep- learning (ML DL) algorithms. Yet, systematic comparative study between ML and DL algorithms has not been conducted for RS, largely due to limited availability open-source large Raman spectra dataset. Therefore we compared typical partial least square-discriminant analysis (PLS-DA) one dimensional convolution neural network (1D-CNN) based pathogenic microbe identification on 12,000 from six species (i.e., K. aerogenes (Klebsiella aerogenes), C. albicans (Candida albicans), glabrata glabrata), Group A Strep. (Group Streptococcus), E. coli1 (Escherichia coli1), coli2 coli2)) when 100%, 75%, 50% 25% were retained. The total dataset was analyzed with 80% split training 20% testing. 100% retained testing accuracy, area under curve (AUC) receiver operating characteristic (ROC) 95.25% 0.997 1D-CNN, which are higher than those (89.42% 0.979) PLS-DA. PLS-DA outperforms 1D-CNN resultant accuracies AUCs demonstrated performance reliance number. Besides, both loadings latent variables saliency maps captured peaks arising DNA proteins comparable interpretability. results current work indicated that should be explored application-wise select whichever AUCs.

Language: Английский

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Silage Making of Napier Grass and Sugarcane Top at Different Proportions: Evolution of Natural Fermentation Characteristics, Chemical Composition, and Microbiological Profile

Fermentation, Journal Year: 2024, Volume and Issue: 10(10), P. 525 - 525

Published: Oct. 15, 2024

The co-ensiling technique is widely used to improve silage quality; however, it remains unclear as what high-quality silages can be made by Napier grass (NG) with Sugarcane top (ST). aim of this study was evaluate the fermentation characteristics, chemical composition, and microbiological profile produced from mixtures NG ST in varying ratios. Silage prepared using a small-scale system, treatments were designed control (NG ensiled alone) or 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%ST on fresh matter basis six replicates, respectively. Increasing reduced contents crude protein, ash, acetic acid, butyric ammonia-N, well pH, but increased dry matter, ether extract, neutral detergent fiber, acid water-soluble carbohydrate, lactic bacteria. Lactobacillales Enterobacterales dominant orders, Lactiplantibacillus Weissella genera. Co-ensiling enhanced microbial diversity richness. ST, local by-product, viable additive quality nutrition. This suggests that good-quality NG: ratios 40:60 20:80 these offer an opportunity optimize nutrient supply for ruminants.

Language: Английский

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Fermentation profile and bioactive component retention in honeysuckle residue silages inoculated with lactic acid bacteria: A promising feed additive for sustainable agriculture

Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 224, P. 120315 - 120315

Published: Dec. 13, 2024

Language: Английский

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Changes in microbial dynamics and fermentation characteristics of alfalfa silage: A potent approach to mitigate greenhouse gas emission through high-quality forage silage

Chemosphere, Journal Year: 2024, Volume and Issue: 362, P. 142920 - 142920

Published: July 24, 2024

Language: Английский

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Influence of Dietary Probiotic and Alpha-Monolaurin on Performance, Egg Quality, Blood Constituents, and Egg Fatty Acids’ Profile in Laying Hens

Probiotics and Antimicrobial Proteins, Journal Year: 2024, Volume and Issue: 16(4), P. 1148 - 1157

Published: April 29, 2024

Language: Английский

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