Diverse Agricultural Landscapes Research Articles

A Comprehensive Review of Climate Change and Plant Diseases in Brazil.

Analyzing the impacts of climate change on phytosanitary problems in Brazil is crucial due to the country's special role in global food security as one of the largest producers of essential commodities. This review focuses on the effects of climate change on plant diseases and discusses its main challenges in light of Brazil's diverse agricultural landscape. To assess the risk of diseases caused by fungi, bacteria, viruses, oomycetes, nematodes, and spiroplasms, we surveyed 304 pathosystems across 32 crops of economic importance from 2005 to 2022. Results show that diseases caused by fungi account for 79% of the pathosystems evaluated. Predicting the occurrence of diseases in a changing climate is a complex challenge, and the continuity of this work is strategic for Brazil's agricultural defense. The future risk scenarios analyzed here aim to help guide disease mitigation for cropping systems. Despite substantial progress and ongoing efforts, further research will be needed to effectively prevent economic and environmental damage.

From Microbes to Microbiomes: Applications for Plant Health and Sustainable Agriculture.

Plant-microbe interaction research has had a transformative trajectory, from individual microbial isolate studies to comprehensive analyses of plant microbiomes within the broader phytobiome framework. Acknowledging the indispensable role of plant microbiomes in shaping plant health, agriculture, and ecosystem resilience, we underscore the urgent need for sustainable crop production strategies in the face of contemporary challenges. We discuss how the synergies between advancements in 'omics technologies and artificial intelligence can help advance the profound potential of plant microbiomes. Furthermore, we propose a multifaceted approach encompassing translational considerations, transdisciplinary research initiatives, public-private partnerships, regulatory policy development, and pragmatic expectations for the practical application of plant microbiome knowledge across diverse agricultural landscapes. We advocate for strategic collaboration and intentional transdisciplinary efforts to unlock the benefits offered by plant microbiomes and address pressing global issues in food security. By emphasizing a nuanced understanding of plant microbiome complexities and fostering realistic expectations, we encourage the scientific community to navigate the transformative journey from discoveries in the laboratory to field applications. As companies specializing in agricultural microbes and microbiomes undergo shifts, we highlight the necessity of understanding how to approach sustainable agriculture with site-specific management solutions. While cautioning against overpromising, we underscore the excitement of exploring the many impacts of microbiome-plant interactions. We emphasize the importance of collaborative endeavors with societal partners to accelerate our collective capacity to harness the diverse and yet-to-be-discovered beneficial activities of plant microbiomes.

Handheld In Situ Methods for Soil Organic Carbon Assessment

Soil organic carbon (SOC) assessment is crucial for evaluating soil health and supporting carbon sequestration efforts. Traditional methods like wet digestion and dry combustion are time-consuming and labor-intensive, necessitating the development of non-destructive, cost-efficient, and real-time in situ measurements. This review focuses on handheld in situ methodologies for SOC estimation, underscoring their practicality and reasonable accuracy. Spectroscopic techniques, like visible and near-infrared, mid-infrared, laser-induced breakdown spectroscopy, and inelastic neutron scattering each offer unique advantages. Preprocessing techniques, such as external parameter orthogonalization and standard normal variate, are employed to eliminate soil moisture content and particle size effects on SOC estimation. Calibration methods, like partial least squares regression and support vector machine, establish relationships between spectral reflectance, soil properties, and SOC. Among the 32 studies selected in this review, 14 exhibited a coefficient of determination (R2) of 0.80 or higher, indicating the potential for accurate SOC content estimation using in situ approaches. Each study meticulously adjusted factors such as spectral range, pretreatment method, and calibration model to improve the accuracy of SOC content, highlighting both the methodological diversity and a continuous pursuit of precision in direct field measurements. Continued research and validation are imperative to ensure accurate in situ SOC assessment across diverse environments. Thus, this review underscores the potential of handheld devices for in situ SOC estimation with good accuracy and leveraging factors that influence its precision. Crucial for optimizing carbon farming, these devices offer real-time soil measurements, empowering land managers to enhance carbon sequestration and promote sustainable land management across diverse agricultural landscapes.

Identification of Cell Wall Invertase Activities in Selected Wheat Cultivars from Sindh for Crop Improvement

CWI markers, also known as Cell Wall Invertase markers, play a pivotal role in wheat breeding and crop improvement. These markers help identify wheat varieties with desirable traits related to yield potential, stress tolerance, drought tolerance, and overall crop performance. The CWI gene, found in bread wheat, has been identified on chromosomes 4A, 5B, and 5D, all of which contain the conserved WECPDF domain. The main role of the Cell wall invertase (CWI) gene is to hydrolyze sucrose into glucose and fructose. Harnessing the power of CWI markers contributes to the advancement of sustainable agriculture practices and the development of high-performing wheat varieties to meet the demands of diverse agricultural landscapes. In this study, we investigated the prevalence of CWI markers, specifically CWi21 and CWi22, in wheat varieties cultivated in Sindh, Pakistan. We collected a set of thirteen wheat genotypes cultivated in the Sindh province for the screening of Cell Wall Invertase markers through polymerase chain reactions. Our analysis revealed the diversity of the markers CWi21 and CWi22 in wheat genotypes. The marker CWi21 was present in 30% of the wheat varieties, while CWi22 was detected in 70% of the wheat varieties.

Hessian fly (Diptera: Cecidomyiidae) virulence in Louisiana: assessment of field populations from 2023 to efficacy of 27 Hessian fly resistance genes in wheat.

The Hessian fly, Mayetiola destructor (Say), is one of the most important insect pest plaguing wheat (Triticum aestivum, L) producers across the United States and around the world. Genetic resistance is the stalwart for control of Hessian fly. However, new genotypes (biotypes) arise in deployment of wheat containing resistance genes, so field populations must be evaluated periodically to provide information on the efficacy of those deployed genes. Louisiana (LA), with its diverse agricultural landscape, is not exempt from the challenges posed by this destructive pest. We previously documented the resistance response of wheat lines harboring Hessian fly resistance (H) genes against field populations collected in 2008 from across the southeastern United States, including Iberville Parish, LA. In the spring of 2023, we reevaluated the resistance response of 27 H genes from the field populations collected from Iberville Parish, LA, and compared the results with those observed in 2008. Sixteen H genes showed comparable resistance to the field populations from both years. While 3 of the H genes, H11, H23, and H24, showed a significant decrease in resistance, 2 genes, H16 and H31, had marked increase in resistance. Furthermore, 6 additional H genes were evaluated in 2023, with 4 showing >70% resistance. Our results clearly identify a total of 20 H genes that are moderate to highly effective against the 2023 Hessian fly population from Iberville Parish, LA. The resistance response documented in this study offers valuable information to wheat breeders in the region for effective management of this insect pest.

Review on Multilayer Farming: A Way Towards Farmer Prosperity

Multilayer farming is an innovative agricultural strategy that redefines traditional farming practices by harnessing vertical space to cultivate multiple layers of crops within a single agricultural system. This approach is designed to overcome challenges associated with land scarcity and inefficient land use. The concept involves arranging different crops in layers, utilizing the vertical dimension to its fullest extent. The layers can include ground-level crops, vines climbing on trellises, and even trees or shrubs, creating a multi-tiered ecosystem. This arrangement optimizes sunlight exposure, nutrient distribution, and water usage, resulting in enhanced productivity. One of the key advantages of multilayer farming is its potential to significantly increase overall yield per unit of land. By strategically combining plants that complement each other in terms of growth patterns, resource requirements, and ecological interactions, farmers can create a symbiotic environment that maximizes the use of available resources. Resource efficiency is a focal point in multilayer farming. The intercropping of different plant species helps in nutrient cycling, reducing the need for external inputs. Furthermore, the diverse plant composition can deter pests and diseases, reducing the reliance on chemical interventions. The vertical stacking of crops also allows for efficient water usage through integrated irrigation systems. Beyond its practical benefits, multilayer farming contributes to biodiversity preservation. The coexistence of various plant species fosters a more resilient and ecologically diverse agricultural landscape. This can have positive effects on soil health, pollination, and overall ecosystem stability.

The future of research on sustainable food systems: Building an early‐career network of agricultural economists in Europe

AbstractThe agricultural economics profession plays an essential role in the transition towards more sustainable and resilient food systems. The interdisciplinary perspective of the profession, the rapidly evolving methods and new data, as well as the diverse agricultural, climatic, and political and cultural landscapes of the European Union member states and associated countries pose specific challenges. In this study, we summarize what this implies for Early‐Career researchers and how the European Network of Early Career Agricultural Economists (AgEconMeet) tries to support these youngsters in their career development. Finally, we introduce the articles of this special issue that represent the diverse landscape of agricultural economics in Europe. [EconLit Citations: A11, Q1, Q18].

Advancing precision agriculture through multi-objective optimization using butterfly algorithm

Wireless Sensor Networks (WSNs) are transforming precision agriculture by enabling seamless monitoring and control of key factors such as temperature, humidity, solar radiation, soil moisture, and various dissolved compounds. This technology enhances efficiency and productivity while reducing costs. However, optimizing coverage area and energy efficiency in precision agriculture WSNs presents significant challenges. To address these challenges, our work focuses on developing innovative solutions inspired by advanced algorithms and state-of-the-art techniques for WSNs. Our primary objective is to improve area coverage and reduce energy consumption in precision agriculture WSNs. We are developing algorithms that can adapt to diverse agricultural landscapes. Through simulations, we aim to evaluate the performance and impact of our novel algorithm on precision agriculture applications. These simulations will provide valuable insights into the effectiveness of our algorithm in enhancing coverage area and energy efficiency in WSNs. Furthermore, our research aims to contribute to the broader field of WSNs by providing a detailed analysis of the challenges and opportunities in optimizing coverage area and energy efficiency in agricultural settings. By leveraging advanced algorithms and techniques, we aim to enhance the capabilities of WSNs in precision agriculture, leading to more sustainable and efficient farming practices.

Connectivity elements and mitigation measures in policy-relevant soil erosion models: A survey across Europe

The current use of soil erosion models in Europe was investigated through an exploratory survey of 46 model applications covering 18 European countries. This revealed novel information on erosion model applications, their parameterisation, incorporation of landscape elements and mitigation measures with implications for connectivity and their use in decision-making in Europe. The model application predictions were applied at national, regional, catchment or field scale. The majority of model applications used the USLE or versions thereof, but a range of semi-empirical, decision-tree and process-based models were also used. The majority of model applications were used for policy relevant purposes such as erosion risk assessment or mitigation measure implementation at a range of spatial scales. The analysis identified an evident prevalence towards the use of national or regional data sets and a highly varying parameterisation of model applications. Landscape elements and mitigation measures with effects on connectivity were implemented in most model applications, but not with a focus on modelling connectivity within the landscape. Altogether, the results demonstrate a need for improving connectivity modelling in diverse agricultural landscapes across multiple scales. Models should be chosen dependent on their ability to reflect erosion risk at different spatial scales. Albeit, harmonisation of data sets, parameterisation procedures and validation approaches is needed for certain modelling scenarios to ensure comparability of soil erosion risk assessment and suitable mitigation practices. Furthermore, we recommend that policy-relevant erosion risk maps should be verified by empirical data and thresholds derived from erosion risk maps should be adapted to regional conditions when used for policy guidelines. Hence, comparability, comprehensibility and regional adaptation are essential qualities of policy-relevant erosion maps.

Promoting Sustainable Agriculture and Climate Resilience in African Nations

This study examines the critical intersection of agriculture, climate change, and sustainable development in Africa. It emphasizes the urgent need to strengthen agricultural sectors to ensure food security, alleviate poverty, and address climate change's looming threat. The research involves a literature review methodology, analyzing climate change trends and their impact on food security through both qualitative and statistical analysis. It also includes the creation of a customized climate change adaptation framework for Africa. Sustainable agriculture emerges as a key solution to address challenges, such as soil degradation, in Africa's diverse agricultural landscape. Climate change, driven by greenhouse gas emissions, significantly affects the like diversification, ecosystem-based adaptation, and continent's agriculture. Strategies technology adoption are highlighted. Government policies, climate advisories, and sustainable agriculture initiatives play vital roles. The study concludes by stressing the importance of collaboration, innovation, and investment to fortify Africa's agriculture against climate change, leading to a more secure and prosperous future.

Towards diverse agricultural land uses: socio-ecological implications of European agricultural pathways for a Swiss orchard region

Diverse agricultural land uses are a typical feature of multifunctional landscapes. The uncertain change in the drivers of global land use, such as climate, market and policy technology and demography, challenges the long-term management of agricultural diversification. As these global drivers also affect smaller scales, it is important to capture the traits of regionally specific farm activities to facilitate adaptation to change. By downscaling European shared socioeconomic pathways (SSPs) for agricultural and food systems, combined with representative concentration pathways (RCP) to regionally specific, alternative socioeconomic and climate scenarios, the present study explores the major impacts of the drivers of global land use on regional agriculture by simulating farm-level decisions and identifies the socio-ecological implications for promoting diverse agricultural landscapes in 2050. A hilly orchard region in northern Switzerland was chosen as a case study to represent the multifunctional nature of Swiss agriculture. Results show that the different regionalised pathways lead to contrasting impacts on orchard meadows, production levels and biodiversity. Increased financial support for ecological measures, adequate farm labour supplies for more labour-intensive farming and consumer preferences that favour local farm produce can offset the negative impacts of climate change and commodity prices and contribute to agricultural diversification and farmland biodiversity. However, these conditions also caused a significant decline in farm production levels. This study suggests that considering a broader set of land use drivers beyond direct payments, while acknowledging potential trade-offs and diverse impacts across different farm types, is required to effectively manage and sustain diversified agricultural landscapes in the long run.

Domestic Herbivores, the Crucial Trophic Level for Sustainable Agriculture: Avenues for Reconnecting Livestock to Cropping Systems

Domestic herbivores have been closely associated with the historical evolution and development of agriculture systems worldwide as a complementary system for providing milk, meat, wool, leather, and animal power. However, their major role was to enhance and maintain agricultural soil fertility through the recycling of nutrients. In turn, cereal production increased, enabling to feed a progressively increasing human population living in expanding urban areas. Further, digestion of organic matter through the rumen microbiome can also be viewed as enhancing the soil microbiome activity. In particular, when animal droppings are deposited directly in grazing areas or applied to fields as manure, the mineralization–immobilization turnover determines the availability of nitrogen, phosphorus, potassium, and other nutrients in the plant rhizosphere. Recently, this close coupling between livestock production and cereal cropping systems has been disrupted as a consequence of the tremendous use of industrial mineral fertilizers. The intensification of production within these separate and disconnected systems has resulted in huge emissions of nitrogen (N) to the environment and a dramatic deterioration in the quality of soil, air, and ground- and surface water. Consequently, to reduce drastically the dependency of modern and intensified agriculture on the massive use of N and phosphorus (P) fertilizers, we argue that a close reconnection at the local scale, of herbivore livestock production systems with cereal-based cropping systems, would help farmers to maintain and recover the fertility of their soils. This would result in more diverse agricultural landscapes including, besides cereals, grasslands as well as forage and grain crops with a higher proportion of legume species. We developed two examples showing such a beneficial reconnection through (i) an agro-ecological scenario with profound agricultural structural changes on a European scale, and (ii) typical Brazilian integrated crop–livestock systems (ICLS). On the whole, despite domestic herbivores emit methane (CH4), an important greenhouse gas, they participate to nutrient recycling, which can be viewed as a solution to maintaining long-term soil fertility in agro-ecosystems; at a moderate stocking density, ecosystem services provided by ruminants would be greater than the adverse effect of greenhouse gas (GHG).

Sunflower production in Vojvodina province (Serbia): Trends, challenges, and opportunities

Sunflowers have emerged as a significant global crop with extensive economic, agricultural, and nutritional significance. This article presents a comprehensive analysis of sunflower production in the Autonomous Province of Vojvodina, Serbia, delving into key trends, challenges, and opportunities within the industry. Serbia, being a prominent player in the European sunflower market, has been influenced by its diverse agricultural landscape and its commitment to sustainable practices, shaping the dynamics of sunflower cultivation and oil production. The study thoroughly investigates production statistics, regional disparities, and the influence of external factors on sunflower farming and market dynamics in Vojvodina. Data from reputable sources such as the FAO, USDA, and COCERAL at the European level are utilized, along with information on sunflower production and oil prices obtained from the Statistical Yearbooks of the Statistical Office of the Republic of Serbia. The findings of the study revealed a notable rise in harvested areas, yield, and overall production during the observed period, concurrent with shifts in the global market. Additionally, the price of sunflower oil demonstrated an upward trend, reflecting these market dynamics.

Diverse agricultural landscapes increase bat activity and diversity: Implications for biological pest control

Diverse landscapes consisting of mixed crops are expected to support higher biological control, while also contributing to maintain farmland biodiversity. Although bats are known as predators of many farming pests, few studies to date have investigated how their foraging activity may enhance natural pest control.Here, we tested the hypothesis that crop mosaics would provide a temporal continuity in prey availability for bats, ultimately resulting in higher biological control. We sampled bat activity and diversity, and the abundance and damage of three major pests of vineyards, maize, and pine plantations, in both simple and diverse landscapes mixing the three production types. Bat species richness and total activity were higher in vineyards and pine plantations located within diverse landscapes. Bat foraging activity also peaked within diverse landscapes. In vineyards, moth abundance decreased with bat species richness. In pine plantations, pest damage decreased with bat foraging activity. In maize fields, pest abundance and damage increased with bat richness and activity longer-term investigations would be necessary to assess their actual effectiveness. Our study advocates for promoting a diversity of coexisting crops within agricultural landscapes to enhance bat activity and diversity, which in turn would sustain higher biological control and bolster biodiversity conservation in farmland.

Callampas of disaster: negotiations and struggles for the commons under forestry hegemony in Chile

Abstract The massive planting of exotic species under the so-called forestry model has dramatically transformed the landscapes of south-central Chile, replacing diverse agricultural, livestock and forest landscapes with forest monocultures, which are highly water-consuming and prone to massive fires. This has meant a productive simplification, and peasant communities have been displaced and stripped of their traditional ways of life. However, in this landscape of disaster, biotic communities of fungi have flourished, and with them human communities of collectors have learned to sustain themselves in a monocultural and privatized scenario. This paper is based on a multi-local ethnographic approach, built upon 26 semi-structured interviews, participant observation, social mapping, creating a calendar and a trend line. The text documents the processes of two communities affected by massive fires which have developed organization, agencies and practices. Mushrooms (callampas in Chilean Spanish) are claimed as a common good derived from the forestry model, claiming access to their use and usufruct of land belonging to forestry companies. They have also developed local governance systems for the care and better use of this new resource for common use. Forestry companies, for their part, try to subsume these practices in their territorial governance processes, disputing these commons’ meaning and purpose. Both cases contribute to empirically address the central thesis of this article, according to which communalization exercises within contexts of capitalist expansion constitute responses of survival, resistance and adaptation in landscapes transformed and devastated by extractivist industries.

Soil properties after one year of interseeded cover cropping in topographically diverse agricultural landscape

Planting cover crops within or following a cash crop may improve soil-based ecosystem services due to increased plant diversity and a longer duration of live vegetation coverage. We examined the effect of three different cover cropping systems on soil properties after one year of a three-year organic transition rotation at four agricultural field sites with contrasting topographical positions, namely depressions, slopes, and summits. The four studied systems were (1) cereal rye (Secale cereal L.) planted after corn (Zea mays L.) harvest (Rye); (2) a mixture of cold susceptible cover crop species, namely, oat (Avena sativa), winter pea (Pisum sativum), and radish (Raphanus sativus), interseeded into corn (WK); (3) a mixture of cold tolerant cover crop species, namely, annual ryegrass (Lolium multiflorum), Dwarf Essex rapeseed (Brassica napus), and crimson clover (Trifolium incarnatum), interseeded into corn (WH); and (4) a no-cover control (NC). While soil moisture was affected by topography, interseeding cover crops into corn did not influence soil moisture levels at the 0–10 cm depth for the studied year. Soil NO3- content was markedly higher in the WK system compared to cereal rye and WH cover crop treatments. The difference was especially pronounced in depressions and summits. Soil N mineralization rates followed the pattern WH>WK>Rye>NC and the effects were most pronounced in slopes. Soil microbial biomass C was the highest in depressions followed by summits and slopes, and in depressions the WH had higher microbial biomass than the other systems. There were no effects of cover crops and topography on soil C mineralization one year after the organic transition was initiated. The WH system increased the fraction of 0.053–2 mm aggregates and decreased > 2 mm aggregates in depressions. The results suggest that the effect of cover cropping can become evident already one year after the organic transition begins. The WH mixture interseeded into the cash crop was an optimal cover crop choice for improving soil characteristics as well as decreasing soil N leaching risks during organic transition in undulating agricultural terrain. However, the magnitude of the benefit provided by WH was mediated by topography.

Exploring the agricultural landscape diversity-food security nexus: an analysis in two contrasted parklands of Central Senegal

CONTEXTFostering diversity within agricultural systems can substantially contribute to improved food security among smallholder farmers. Agroforestry parklands are diverse agricultural landscapes where trees can provide an array of ecosystem services. Previous studies analyzing the agricultural landscape diversity-food security nexus in agroforestry parklands have only considered tree cover. OBJECTIVEWe propose an original empirical approach that combines the analysis of spatial data on agricultural landscape diversity with agricultural field monitoring and household surveys. These three sources of data were used to scrutinize the direct and indirect contributions of agricultural landscape diversity to food availability and food access. METHODSMillet yield was used as a proxy for food availability, and household food access was approximated using the Household Food Insecurity Access Scale (HFIAS) indicator. Two contrasted agroforestry parklands of Central Senegal were chosen as case studies. Firstly, we used a Gradient Boosting Machine (GBM) algorithm to disentangle the relative contribution of landscape diversity, biophysical and crop management variables in explaining millet yield variability. Secondly, we investigated the pathways linking agricultural landscape diversity to HFIAS using a Correlation Network Analysis (CNA). RESULTS AND CONCLUSIONSThe GBM model explained 77% and 84% of millet yield variability for the two parklands, respectively, with landscape diversity variables accounting for 53% and 47% of relative influence. Among the landscape diversity variables, tree species richness and tree density were the most important ones. Millet yield was positively associated with tree density in the Nioro site until a threshold of 5 trees/ha, and with tree species richness in the two sites. The CNA showed that greater tree cover and larger tree patches were moderately correlated with HFIAS. This suggests that tree species with large crown, as it the case for most fruit bearing tree species in the region, are the main species contributing directly to food access. Agricultural landscape diversity contributed mainly indirectly to household food access through an “agroecological pathway”, i.e. by the provision of ecosystem services regulating and supporting crop production. SIGNIFICANCEUsing an integrated landscape approach relying on up-to-date remote sensing data and recent advances in data analysis methods, our study shows that tree species diversity matters as much as the amount of tree cover for the production of food, and it can contribute to improve food security. We bring a more nuanced picture of the contribution of agricultural landscape diversity to food security suggesting that land management policies supporting food security should consider both tree density and tree species diversity to optimize the co-benefits of trees for the different food security dimensions.

A farm systems approach to the adoption of sustainable nitrogen management practices in California

Improving nitrogen (N) fertilizer management in agricultural systems is critical to meeting environmental goals while maintaining economically viable and productive food systems. This paper applies a farm systems framework to analyze how adoption of N management practices is related to different farming operation characteristics and the extent to which fertilizer, soil and irrigation practices are related to each other. We develop a multivariate probit regression model to analyze the interdependency of these adoption behaviors from 966 farmers across three watersheds and diverse cropping systems in the Central Valley of California. Our analysis demonstrates that farmers adopt varying combinations or portfolios of practices, with the most common portfolio featuring a core set of fertilizer-focused practices. Irrigation infrastructure is an especially important farm operation characteristic for encouraging adoption of innovative practice portfolios that integrate water and fertilizer management. These findings highlight the ability for a farm systems approach to improve our understanding of farmer decision-making across diverse agricultural landscapes.

The political economy of unsustainable lock-ins in North American commodity agriculture: a path forward – Response to Struckman

In this commentary, I argue that in North America, the overuse of synthetic nitrogen fertilizer is due to institutional and technological lock-ins, which are the result of historical policies with deep roots in an agricultural system focused on increasing production of commodities with disregard for their full social costs. Further, excessive fertilizer use is integral to production systems that have disconnected crop and livestock production to the extent that manure is a waste product, which further creates environmental problems. In order to address the environmental and social problems associated with industrial agriculture, it will be necessary to bring market prices closer to true social costs, thereby eliminating overproduction of commodity grains and oilseeds, and to promote more diverse agricultural landscapes.

The Role of Peridomestic Rodents as Reservoirs for Zoonotic Foodborne Pathogens.

Although rodents are well-known reservoirs and vectors for a number of zoonoses, the functional role that peridomestic rodents serve in the amplification and transmission of foodborne pathogens is likely underappreciated. Clear links have been identified between commensal rodents and outbreaks of foodborne pathogens throughout Europe and Asia; however, comparatively little research has been devoted to studying this relationship in the United States. In particular, regional studies focused on specific rodent species and their foodborne pathogen reservoir status across the diverse agricultural landscapes of the United States are lacking. We posit that both native and invasive species of rodents associated with food-production pipelines are likely sources of seasonal outbreaks of foodborne pathogens throughout the United States. In this study, we review the evidence that identifies peridomestic rodents as reservoirs for foodborne pathogens, and we call for novel research focused on the metagenomic communities residing at the rodent-agriculture interface. Such data will likely result in the identification of new reservoirs for foodborne pathogens and species-specific demographic traits that might underlie seasonal enteric disease outbreaks. Moreover, we anticipate that a One Health metagenomic research approach will result in the discovery of new strains of zoonotic pathogens circulating in peridomestic rodents. Data resulting from such research efforts would directly inform and improve upon biosecurity efforts, ultimately serving to protect our food supply.