The aim of this study was to determine soil quality index (SQI) for hazelnut gardens managed under organic and conventional agricultural systems. Additionally, the predictability of soil quality was evaluated using the XGBoost algorithm. To determine soil quality, a multi-criteria decision-making process was applied to the total dataset (TDS) using standard scoring functions (linear and non-linear). Additionally, the minimum dataset (MDS) was obtained using principal component analysis (PCA). Then, the model verification process was performed using SQI and yield data. According to the results, although SQI values in conventional agriculture were statistically significantly higher, the correlation between yield and soils under organic agriculture was higher than in conventional agriculture. The SQI averaged 0.4576 in conventionally farmed soils and 0.4417 in organically farmed areas. RMSE values obtained for SQI estimation with the XGBoost algorithm using basic soil properties ranged from 0.038 to 0.065. The mean error rate was approximately 8%. Lin’s concordance correlation coefficients for the SQI estimated by MDS and TDS were 0.60 and 0.61, respectively. The most effective basic soil properties for estimating SQI with the XGBoost algorithm were N, K, OM, and P. It was concluded that the XGBoost algorithm can be evaluated for soil quality prediction. In addition, the spatial distribution patterns of the values predicted by this algorithm and of the observed values were similar. The exclusive use of soil analyses in the study can be considered a limiting factor for the model. More comprehensive studies are planned using reflectance measurements from remote sensing technologies.

This article explores the development of Ukraine’s legal framework on genetically modified organisms (GMOs) in the context of European Union integration and post-war recovery. It analyses key regulatory challenges, including outdated biosafety laws, insufficient enforcement mechanisms and gaps in GMO detection and co-existence frameworks. Focus is placed on the 2023 Ukrainian GMO Law, which aligns with EU standards but is subject to delayed implementation. The article examines the legal tension between the EU’s interpretation of the precautionary principle in GMO law and Ukraine’s WTO obligations, highlighting the need for balanced, science-based regulation. In light of wartime agricultural disruption, the article argues that a robust, science-based GMO regulatory regime is essential for ensuring biosafety, facilitating market access and enabling the development of a resilient bioeconomy. GMO reform is thus positioned as a strategic necessity for Ukraine’s legal modernisation, economic recovery and long-term integration into the European and global systems.

Commodity grades seem like innocuous measures of quality and thereby escape scrutiny as to their origin, purpose, and effect. Drawing on the National Live Stock and Meat Board’s executive meeting minutes and US Food Administration (USFA) records, this essay contextualizes and politicizes government beef grading. The USFA played a key role in the lead-up to government beef grading and in the creation of the Meat Board. USFA messaging as well as a post war depression curtailed consumption of feedlot-derived beef. In response, industry leaders formed a trade association called the Meat Board that acted as a liaison between industry and public sector scientists and helped bring about government beef grading. Beef grading emerged in the broader context of a campaign launched by the USFA to modernize meat retailers. At the same time, breeders, feeders, and western ranchers pushed for government beef grading in response to low prices and as a panacea. The Meat Board also cooperated with agricultural scientists in coordinating research to boost feedlot-derived beef. Rather than industry cooptation of science, this essay shows an alignment of vision in a mutually beneficial relationship. These actors, furthermore, used government beef grading to protect the feedlot system of production.

Droughts are becoming increasingly common in India, where 50 per cent of the labour force works in agriculture, and most agricultural production is rainfall-dependent. This paper investigates the extent to which rural households adapt to drought – defined as rainfall deficiency – by reallocating labour from agriculture to other sectors of the economy. We estimate a household-level fixed-effects regression model and find that household agricultural employment declines in the year following a drought. Furthermore, these effects are mediated by job skills and land ownership. We find that households with working members who have completed primary education account for most of the workers who exit the agricultural sector. In contrast, we find that households that own land increase their agricultural labour share after experiencing a drought. Thus, while we find that drought causes households to diversify away from agriculture on aggregate, the extent of this structural change is mitigated by the behaviour of landowners.

Groundwater is a critical support system for agriculture, domestic and industrial consumption in India, but escalating depletion and climatic stresses underscore the need for scientifically robust groundwater potential zone (GWPZ) mapping. In response to the aggravating water security issues in India, this study presents a critical and systematic-methodical review of research articles focused on GWPZ mapping. The primary goal of this research is to integrate input parameters, modeling techniques and validation methods to produce an evidence-based framework for selecting appropriate and effective GWPZ mapping strategies. Six prominent thematic categories – topography, geology, hydrology, climate, land cover and aquifer properties – seem to be inevitably predominant in different physiographic zones. Methodological tendencies suggest a shift from conventional Multi-Criteria Decision-Making models, that is, Analytical Hierarchy Process and Frequency Ratio, toward sophisticated machine learning techniques like Random Forests, Support Vector Machine and Extreme Gradient Boosting. Validation practices are dominated by a high incidence of receiver operating characteristic curve analysis and area under the curve metrics, with occasional addition of precision, recall, F1-score and root mean square error. Across the studies reviewed, field-derived data, well yield, groundwater depth, aquifer thickness and resistivity surveys remain critical for ground-truthing model results. Our view is that even though Indian GWPZ research has taken significant methodological strides, regional data heterogeneity, aquifer complexity and climatic variability issues continue to pose a key challenge in GWPZ mapping. We suggest future strategies involving high-resolution datasets, three-dimensional subsurface modeling, climate-resilient algorithms and more diversified validation frameworks. Through this critical synthesis, the article presents an integrated guide to support planners select cost-effective mapping techniques, inform policymakers on strategic investments and data collection priorities and direct researchers toward the most critical scientific gaps in India’s increasingly dynamic hydro-environmental context.

Using a dynamic computable general equilibrium model that differentiates cropping activities and labour by sex and includes household home production, this study examines the effects of rainfall variability in Burkina Faso from both a macroeconomic perspective and a gender lens. The simulation of the annual rainfall pattern observed in the country over the past decade highlights its broad economic effects and confirms the greater sensitivity of female-led cropping activities. It also underscores the differential impacts on female and male workers in the labour market and within households, revealing the interactions between the non-market and market spheres of the economy when a rainfall shock occurs. Nevertheless, additional simulations suggest that promoting water management systems or more water-stress-resistant crop varieties could help mitigate the effects of rainfall variability and that targeted measures to support female farmers could effectively reduce their specific vulnerability.

This article concerns the economy of one of the few fortified settlements of the Late Bronze Age–Early Iron Age on the northern coast of the Black Sea, the Uch-Bash settlement, and its satellite settlement, Sakharna Holovka, in the Inkerman Valley in south-western Crimea. Archaeological excavations from the 1950s onwards have yielded much information on the cultivation of plants from the settlement, including charred grains and their impressions on pottery, tools for harvesting and processing the crops, storage containers, and other objects. Data were also obtained on the crops that were grown in the Inkerman Valley. Together, this evidence shows that the production of cereals was a major aspect of its economy at the turn of the Bronze Age to the Iron Age.

National genebanks offer diverse collections of locally adapted crops which can support farmers’ climate resilience, nutritional security and economic innovations, yet are often overlooked in climate adaptation strategies. Across much of the world, national genebanks are unknown to farmers, or poorly connected for varietal exchange. This paper examines the impacts of establishing ‘Germplasm User Groups’ (GUGs) across five African countries to connect farmers with genebanks as rapid responders to local agricultural challenges. GUGs conducted farmer participatory research to evaluate genebank materials and establish pathways for the exchange of knowledge and crop diversity in farming communities. Drawing on surveys and interviews from over 1,600 smallholders, we found GUGs increase farmer understanding of genebanks, improve access to crop diversity and increase farmer exchanges with national genebanks. As well as material exchange, smallholders welcome the learning opportunities from GUGs to address local farming challenges. On average, GUG members share genebank seed with four other farmers, demonstrating the potential spillover effects of this model for sharing crop diversity. We close with recommendations to improve the working of GUGs and offer guidance for other countries looking to adopt the system as a rapid approach strategy to build local resilience in the face of climate change.

Indicators of environmental impact can be used to inform the production, promotion and consumption of sustainable diets. Most environmental impacts associated with food production occur on farm; thus, sustainable diets are reliant on sustainable agricultural practices. In this paper, we review the current use of environmental indicators and metrics from global to local scales and highlight the need for locally relevant definitions to inform sustainable diets. Using Australia as a case study, we show that the diversity of food production systems is accompanied by a diversity of environmental issues, including climate change, land scarcity, nutrient pollution, water scarcity and biodiversity loss, each uniquely affecting different systems. However, while global datasets and indicators provide a consistent basis for estimating impacts and enabling country and food product comparisons, they often fail to capture the nuances of food production at national and sub-national scales. For example, land use may be a poor indicator of biodiversity loss when grazing a natural, low-input rangeland. Similarly, water use is only relevant where there is competition for the resource and eutrophication only where there is an adjacent water system to pollute. Thus, reporting frameworks used to inform sustainable diets need to be based on indicators that consider the context of local systems to demonstrate the clear linkage and how specific farming systems can drive sustainable diets. The development of provenance and traceability systems means the tools are already available to track impacts at a regional, or even individual farm, level.

Between the fifth and first century BC, calendars that compiled astronomical and meteorological information, known as parapēgmata, came to be used throughout the Greek-speaking world. In the course of the Hellenistic period, numerous such almanacs attributed to scientific authorities who operated in different regions were circulating, some of which emphasized distinct atmospheric phenomena. By ca. 100 BC at the latest, individuals and communities began combining astrometeorological parapēgmata to produce their own, including inscribed public versions. I argue that politically active citizens and doctors would have benefited from the use of these calendars within the context of the Hellenistic polis because weather was believed to have a direct impact on the collective food supply and health of communities and such documents were perceived as an invaluable tool for anticipating important atmospheric changes, determining when meteorological thresholds were crossed and building consensus for communal action taken in response.