Skip to Content

Agriculture

Agriculture is an international, peer-reviewed, open access journal published semimonthly online. 

Quartile Ranking JCR - Q1 (Agronomy)

Get Alerted

Add your email address to receive forthcoming issues of this journal.

All Articles (12,912)

The accumulation of microplastics (MPs) in agricultural soils and atrazine in agricultural soils creates compound pollution that severely threatens soil health. The present study aimed to evaluate the effect of polyethylene (PE), polyvinyl chloride (PVC), and polybutylene succinate (PBS) on the adsorption and degradation of atrazine in yellow-brown and black soil. Batch adsorption kinetic and isotherm experiments were conducted in two distinct soils amended with MPs. A 90-day degradation experiment was performed to monitor atrazine persistence and the activities of key soil enzymes. The adsorption process was best described by the pseudo-second-order model and the Freundlich isotherm model, suggesting dominant chemisorption and multilayer adsorption on heterogeneous surfaces of the soil–MP composites. All MPs significantly enhanced the adsorption capacity for atrazine (6.80–39.93 mg kg−1), with the order PBS > PE > PVC. Furthermore, the degradation of atrazine was impeded by all MPs, with PVC exhibiting the strongest inhibitory effect. The half-life of atrazine ranges from 22.97 to 81.76 days in two soils. The presence of MPs also influenced soil enzyme activities and the effects varied by MP type and soil property. These results demonstrate that MPs can modify the adsorption and persistence of atrazine in soil, thereby increasing its environmental risk. This study provides valuable insights for the long-term ecological risk assessment of co-existing MPs and pesticide pollution in terrestrial environments.

21 March 2026

Plots of the pseudo-first-order (a), pseudo-second-order (b), Elovich (c), and intra-particle diffusion (d) models for sorption kinetics of atrazine onto black soil samples (solid curves) and yellow-brown soil samples (dashed curves). S1, yellow-brown soil; S2, black soil.

Citrus Limonene as a Potential Source of Biopesticides Against Maize Weevils

  • Yamkela Silwanyana,
  • Ayodeji Oluwabunmi Oriola and
  • Simon Kamande Kuria
  • + 4 authors

The maize weevil is a major postharvest pest of stored maize, causing substantial quantitative and qualitative grain losses and posing a serious threat to food security. In many regions of the world, particularly in developing countries where maize is a staple crop, maize weevil infestations can account for up to 50% of postharvest maize losses annually. Traditionally, synthetic pesticides have been used to manage maize weevils, but their prolonged application has been associated with environmental contamination, pesticide resistance, and adverse health effects in humans and animals. These challenges have inspired the search for safe, eco-friendly, and bioactive alternatives from natural sources. Citrus plants are among the most widely consumed fruits globally, with their peels and leaves constituting a significant proportion of agricultural waste. These waste products are rich in essential oils, particularly limonene, which has demonstrated potent insecticidal properties against maize weevils. Repurposing citrus waste into biopesticides offers a sustainable strategy for mitigating maize weevil infestations, thereby reducing postharvest maize losses and enhancing food safety and security. This review examines the prospects of citrus limonene in the development of safe and effective maize weevil biopesticides, highlighting its major chemical constituents, biological activities, and mechanisms of action.

20 March 2026

Limonene structure [47].

Salmonella enterica serotype Mbandaka has emerged as a significant foodborne pathogen in poultry, posing increasing public health risks through its zoonotic transmission from poultry sources to humans, yet critical gaps remain in understanding its transmission inter-host transmission and antimicrobial resistance (AMR) mechanisms within the poultry industry. In this study, we addressed these knowledge gaps by conducting a comprehensive genomic analysis of 1813 S. Mbandaka genomes, including genotyping, phylogenetic reconstruction, and pangenome analysis. The results revealed that S. Mbandaka exhibits a global distribution pattern, with sequence type 413 (ST413) representing the dominant lineage. Phylogenetic analysis revealed frequent close genomic relatedness between human and poultry-derived strains (SNP ≤ 10), suggesting poultry as a potential major zoonotic reservoir for human S. Mbandaka infection. Furthermore, close genetic relationship was also detected among the human-derived strains, suggesting the potential community spread. In addition, genomic analysis indicated an increase over time in the number of antimicrobial resistance genes (ARGs) detected per genome, frequently associated with plasmids and insertion sequences (ISs). Notably, the ARGs significantly enriched in Chinese strains were primarily associated with the Col(pHAD28) plasmid. Comparative analysis demonstrated that the ARG profiles of S. Mbandaka were similar to those of other Salmonella serovars, suggesting the potential for cross-species transmission. In conclusion, these findings represent a large-scale retrospective genomic analysis of publicly available whole-genome sequences and elucidate the transmission dynamics and AMR mechanisms of S. Mbandaka in poultry, providing insights into its risks to poultry production and public health while guiding the development of targeted prevention strategies for the poultry sector.

20 March 2026

Global genomic epidemiology of S. Mbandaka. (A) Geographic distribution and ST of isolates, with pie chart size reflecting genome number and colors indicating STs. (B) Proportions of isolation sources. (C) Correlation between genome size and GC content. (D) Temporal distribution of isolation years. (E) Annual distribution of antimicrobial resistance gene (ARG) counts.

Drought stress during germination impairs seed germination and seedling development in wheat. Seed germination depends on embryo lipid mobilization for energy supply; however, the molecular mechanisms underlying lipid mobilization in drought stress germination remain unclear. Two wheat cultivars with significant differences in drought resistance, Shannong 28 (SN28) and Xinmai 296 (XM296), were subjected to integrated transcriptomic, metabolomic, and lipidomic analyses to reveal molecular response differences. SN28 exhibited increased root length (RL), while XM296 showed significant decreases in germination energy (GE), vigor index (VI), and single seedling dry weight (SSDW). Multi-omics integration revealed that SN28 maintained efficient lipid mobilization under drought through a distinctive regulatory strategy: suppressing jasmonic acid synthesis to prevent excessive growth inhibition, activating α-DOX1 signaling to maintain defense function, and coordinating these with low expression of ABA signaling factors MYB96 and ABI4 to relieve lipid mobilization suppression. Upregulated lipase and nsLTP genes (TaLTPIe.1, TaLTPIg.1) promoted lipid mobilization, while coordinated activation of arginine–proline metabolism, zeatin biosynthesis, and antioxidant defense pathways provided metabolic support. In contrast, XM296’s extensive inhibition of lipoxygenase enzymes and insufficient lipid mobilization capacity directly underlies its drought susceptibility. These findings indicate that cultivar-specific lipid metabolism patterns are key determinants of germination-stage drought resistance, providing candidate genes for wheat breeding.

20 March 2026

Differences in germination and growth indexes of different wheat cultivars under drought stress. (A) Differences in germination and growth indices of different wheat cultivars; (B) Comparison of seed and seedling morphology of different wheat cultivars at the early germination stage. *: p < 0.05; **: p < 0.01.

News & Conferences

Volumes

Latest Issues

Open for Submission

Editor's Choice

Reprints of Collections

How Optical Sensors and Deep Learning Enhance the Production Management in Smart Agriculture
Reprint

How Optical Sensors and Deep Learning Enhance the Production Management in Smart Agriculture

Editors: Jibo Yue, Meiyan Shu, Chengquan Zhou, Haikuan Feng, Fenghua Yu
Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring
Reprint

Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring

2nd Edition
Editors: Haikuan Feng, Yanjun Yang, Ning Zhang, Chengquan Zhou, Jibo Yue
XFacebookLinkedIn
Agriculture - ISSN 2077-0472