Impacts of vegetable processing and cheese making effluent on soil microbial functional diversity, community structure, and denitrification potential of land treatment systems DOI Creative Commons
G. Siemering, Francisco J. Arriaga, Grace A. Cagle

et al.

Water Environment Research, Journal Year: 2024, Volume and Issue: 96(5)

Published: May 1, 2024

Abstract The cheese making and vegetable processing industries generate immense volumes of high‐nitrogen wastewater that is often treated at rural facilities using land applications. Laboratory incubation results showed denitrification decreased with temperature in industry facility soils but remained high from agricultural sites (75% 2.1°C). 16S rRNA, phospholipid fatty acid (PLFA), soil respiration analyses were conducted to investigate potential microbiome impacts. Biotic abiotic system factor correlations no clear patterns explaining the divergent rates. In all three types phylum level, Actinobacteria, Proteobacteria, Acidobacteria dominated, whereas class Nitrososphaeria Alphaproteobacteria similar denitrifying systems such as wetlands, resource recovery facilities, wastewater‐irrigated systems. Results show drivers vary lay foundation develop a better understanding key factors regulating application protect local groundwater supplies. Practitioner Points Incubation study rates temperatures decreased, potentially leading contamination issues during colder months. most dominant phyla for are Acidobacteria. Nitrosphaeria (phyla Crenarchaeota). No correlation between biotic observed explained efficiency differences.

Language: Английский

Responses of soil available nutrients and microbial performance in a newly established apple orchard after five-year fertilization with different sources of livestock manure DOI Creative Commons
Ying Liu, Meng Xu, Mengjiao Liu

et al.

Journal of Agriculture and Food Research, Journal Year: 2025, Volume and Issue: unknown, P. 101635 - 101635

Published: Jan. 1, 2025

Language: Английский

Citations

1
Agricultural practices influence soil microbiome assembly and interactions at different depths identified by machine learning DOI Creative Commons

Yujie Mo,

Raven L. Bier, Xiaolin Li

et al.

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: Oct. 18, 2024

Agricultural practices affect soil microbes which are critical to health and sustainable agriculture. To understand prokaryotic fungal assembly under agricultural practices, we use machine learning-based methods. We show that fertility source is the most pronounced factor for microbial especially fungi, its effect decreases with depths. Fertility also shapes co-occurrence patterns revealed by learning, leading fungi-dominated modules sensitive down 30 cm depth. Tillage affects microbiomes at 0-20 depth, enhancing dispersal stochastic processes but potentially jeopardizing interactions. Cover crop effects less lack depth-dependent patterns. Machine learning reveals impact of on communities multifaceted highlights role over overcomes linear limitations traditional methods offers enhanced insights into mechanisms underlying distributions in agriculture soils. breaks through methods, providing deeper assembly, interactions, varying depths different farming practices.

Language: Английский

Citations

8
Agricultural practices influence phosphorus transport and ecosystem health in rice-paddy systems: Insights from HYDRUS-1D simulations DOI Creative Commons

Shi Liang,

Qingnan Chu, Ali Ashrafi

et al.

Agriculture Ecosystems & Environment, Journal Year: 2025, Volume and Issue: 385, P. 109581 - 109581

Published: March 3, 2025

Language: Английский

Citations

0
Soil Health and Sustainable Agriculture: Concept and Practices DOI

Usha Sabharwal,

Piyush Kant, Kamlesh Choure

et al.

CABI eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 215 - 237

Published: March 29, 2025

Language: Английский

Citations

0
Comparative Remediation of Arsenic and Antimony Co-Contaminated Soil by Iron- and Manganese-Modified Activated Carbon and Biochar DOI Creative Commons

Jiayi Han,

Chuang Zhao, Min Yang

et al.

Toxics, Journal Year: 2024, Volume and Issue: 12(10), P. 740 - 740

Published: Oct. 12, 2024

At present, soil contaminated with arsenic (As) and antimony (Sb) is escalating at an alarming rate, which harmful to human health. In this study, Fe- Mn-modified activated carbon (AC) biochar (BC) were prepared compared for the remediation of As- Sb-contaminated soil. The effects on speciation As Sb, pH, organic matter (SOM), enzyme activity various dosages times investigated. results showed that whole, best stabilization effect Sb was achieved 3% FeMnBC. Furthermore, increases in time dosage, immobilization more significant. Fe/Mn-modified AC BC enhanced MnAC being particularly effective; FeMnAC demonstrated most pronounced enhancement SOM. modified materials exhibited a dramatic increase enzymatic activity. particular, urease increasing trend, catalase first decreased then increased over 30 days. Among treatments, significant enhancements activities, whereas 1% FeMnBC had sucrase This study provides theoretical support co-contaminated by BC.

Language: Английский

Citations

1
Impacts of vegetable processing and cheese making effluent on soil microbial functional diversity, community structure, and denitrification potential of land treatment systems DOI Creative Commons
G. Siemering, Francisco J. Arriaga, Grace A. Cagle

et al.

Water Environment Research, Journal Year: 2024, Volume and Issue: 96(5)

Published: May 1, 2024

Abstract The cheese making and vegetable processing industries generate immense volumes of high‐nitrogen wastewater that is often treated at rural facilities using land applications. Laboratory incubation results showed denitrification decreased with temperature in industry facility soils but remained high from agricultural sites (75% 2.1°C). 16S rRNA, phospholipid fatty acid (PLFA), soil respiration analyses were conducted to investigate potential microbiome impacts. Biotic abiotic system factor correlations no clear patterns explaining the divergent rates. In all three types phylum level, Actinobacteria, Proteobacteria, Acidobacteria dominated, whereas class Nitrososphaeria Alphaproteobacteria similar denitrifying systems such as wetlands, resource recovery facilities, wastewater‐irrigated systems. Results show drivers vary lay foundation develop a better understanding key factors regulating application protect local groundwater supplies. Practitioner Points Incubation study rates temperatures decreased, potentially leading contamination issues during colder months. most dominant phyla for are Acidobacteria. Nitrosphaeria (phyla Crenarchaeota). No correlation between biotic observed explained efficiency differences.

Language: Английский

Citations

0