Omics approaches in understanding the benefits of plant-microbe interactions

Frontiers in Microbiology, Год журнала: 2024, Номер 15

Опубликована: Май 27, 2024

Plant-microbe interactions are pivotal for ecosystem dynamics and sustainable agriculture, influenced by various factors, such as host characteristics, environmental conditions, human activities. Omics technologies, including genomics, transcriptomics, proteomics, metabolomics, have revolutionized our understanding of these interactions. Genomics elucidates key genes, transcriptomics reveals gene expression dynamics, proteomics identifies essential proteins, metabolomics profiles small molecules, thereby offering a holistic perspective. This review synthesizes diverse microbial-plant interactions, showcasing the application omics in mechanisms, nitrogen fixation, systemic resistance induction, mycorrhizal association, pathogen-host Despite challenges data integration ethical considerations, approaches promise advancements precision intervention resilient agricultural practices. Future research should address challenges, enhance technology resolution, explore epigenomics, understand plant-microbe under conditions. In conclusion, technologies hold immense optimizing strategies fortifying alliances, paving way agriculture stewardship.

Язык: Английский

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Utilizing an 11-year runoff plot dataset to evaluate the regulation of six land management practices on runoff and sediment on Mollisols slopes and the applicability of the WEPP model

Soil and Tillage Research, Год журнала: 2025, Номер 252, С. 106601 - 106601

Опубликована: Апрель 18, 2025

Язык: Английский

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Mitigating rainfall induced soil erosion through bio-approach: From laboratory test to field trail

Engineering Geology, Год журнала: 2024, Номер unknown, С. 107842 - 107842

Опубликована: Дек. 1, 2024

Язык: Английский

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Comparative analysis of organic and conventional farm sustainability in peri-urban zones of Rabat, Morocco: insights and perspectives

Cogent Food & Agriculture, Год журнала: 2025, Номер 11(1)

Опубликована: Фев. 11, 2025

Язык: Английский

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The potential effect of temperature on surface deformation after water drop impact in soils with different texture and moisture content

CATENA, Год журнала: 2025, Номер 255, С. 109005 - 109005

Опубликована: Апрель 14, 2025

Язык: Английский

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Understanding agricultural market dynamics in times of crisis: The dynamic agent-based network model Agrimate

Ecological Economics, Год журнала: 2025, Номер 231, С. 108546 - 108546

Опубликована: Фев. 17, 2025

Язык: Английский

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Translating Multi-Omics Insights into Rice Disease Management: Integrative Approaches for Sustainable Resistance

Physiological and Molecular Plant Pathology, Год журнала: 2025, Номер unknown, С. 102694 - 102694

Опубликована: Апрель 1, 2025

Язык: Английский

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Prediction of Soil Erosion Control Ecosystem Service using Machine Learning based on the ANN model in Asia

Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100723 - 100723

Опубликована: Май 1, 2025

Язык: Английский

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Integrating Quantitative Macroeconomic and Ecosystem Service Modeling Methods to Assess Conservation Programs in Mexico

Environmental and Resource Economics, Год журнала: 2025, Номер unknown

Опубликована: Июнь 3, 2025

Язык: Английский

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Effects of Frozen Layer on Composite Erosion of Snowmelt and Rainfall in the Typical Black Soil of Northeast China

Water, Год журнала: 2024, Номер 16(15), С. 2131 - 2131

Опубликована: Июль 27, 2024

Composite erosion caused by snowmelt and rainfall causes considerable soil loss during spring thawing. However, research on the impact of frozen layers (FSL) composite is lacking. Therefore, indoor simulation experiments were conducted conditions 0 cm (unfrozen soil, FSLUN) 3 thawing depths to explore influence FSL in black region Northeast China. Three runoff (SR) discharges (0.34 L min−1, 0.5 0.67 min−1), three (RF) intensities (80 mm h−1, 120 160 h−1), snowmelt–rainfall interactions (SRI; 0.34 min−1–80 min−1–120 min−1–160 h−1) used this study. The results indicate that advanced initial times SR, RF, SRI 42.06%, 43.33%, 45.83%, respectively. increased rate (SER) 1.2 (1.0–1.6) unfrozen which was smaller than SR (16.3, 5.6–25.0) RF (1.7, 1.6–1.9), indicating interaction had an inhibitory effect increase water layer. Under FSLUN conditions, 1.5–4.1 14.5–24.3 greater erosion. not a simple linear superposition multiple types single-phase erosion; it significant nonlinear amplification (SAE), with SAE ~100% ~300% under conditions. Flow velocity (0.11 < R2 0.68), stream power (0.28 0.88), energy consumption (0.21 0.87) exhibited (p 0.05) relationships SER both FSLUN. deepen our understanding process period China provide basis for prevention control region.

Язык: Английский

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