Search Results (240)

Crop fidelity is a desirable trait for managed pollinators and is influenced by factors like competing forage sources and colony knowledge of the surrounding environment. In European honey bees (Apis mellifera L.), colonies deployed when the crop is flowering display the highest fidelity. We tested for a similar outcome using a stingless bee species that is being increasingly used as a managed pollinator in Australian macadamia orchards. We observed Tetragonula carbonaria (Smith) colonies deployed in macadamia orchards at three time points: (1) before crop flowering (“permanent”), (2) early flowering (“early”), and (3) later in the flowering period (“later”). We captured returning pollen foragers weekly and estimated crop fidelity from the proportion of macadamia pollen they collected, using light microscopy. Pollen foraging activity was also assessed via weekly hive entrance filming. The early and later introduced colonies initially exhibited high fidelity, collecting more macadamia pollen than the permanent colonies. In most cases, the permanent colonies were already collecting diverse pollen species from the local environment and took longer to shift over to macadamia. Pollen diversity increased over time in all colonies, which was associated with an increase in the proportion of pollen foragers. Our results indicate that stingless bees can initially prioritize a mass-flowering crop, even when flowering levels are low, but that they subsequently reduce fidelity over time. Our findings will inform pollinator management strategies to help growers maximize returns from pollinator-dependent crops like macadamia. Full article

Precision irrigation plays a crucial role in managing crop production in a sustainable and environmentally friendly manner. This study builds on the results of the GreenWaterDrone project, aiming to estimate, in real time, the actual water requirements of crop fields using the crop water stress index, integrating infrared canopy temperature, air temperature, relative humidity, and thermal and near-infrared imagery. To achieve this, a state-of-the-art aerial micrometeorological station (AMMS), equipped with an infrared thermal sensor, temperature–humidity sensor, and advanced multispectral and thermal cameras is mounted on an unmanned aerial system (UAS), thus minimizing crop field intervention and permanently installed equipment maintenance. Additionally, data from satellite systems and ground micrometeorological stations (GMMS) are integrated to enhance and upscale system results from the local field to the regional level. The research was conducted over two years of pilot testing in the municipality of Trifilia (Peloponnese, Greece) on pilot potato and watermelon crops, which are primary cultivations in the region. Results revealed that empirical irrigation applied to the rhizosphere significantly exceeded crop water needs, with over-irrigation exceeding by 390% the maximum requirement in the case of potato. Furthermore, correlations between high-resolution remote and proximal sensors were strong, while associations with coarser Landsat 8 satellite data, to upscale the local pilot field experimental results, were moderate. By applying a comprehensive model for upscaling pilot field results, to the overall Trifilia region, project findings proved adequate for supporting sustainable irrigation planning through simulation scenarios. The results of this study, in the context of the overall services introduced by the project, provide valuable insights for farmers, agricultural scientists, and local/regional authorities and stakeholders, facilitating improved regional water management and sustainable agricultural policies. Full article

Heavy metal contamination in paddy fields poses serious risks to food safety and crop productivity. This study evaluated the potential of native soil fungi as bioinoculants to reduce metal uptake in rice cultivated under contaminated conditions. Eight fungal strains—four indigenous and four allochthonous—were selected based on their plant growth-promoting traits, including siderophore production and phosphate solubilization. Additional metabolic analysis confirmed the production of bioactive secondary metabolites. In a greenhouse experiment, three rice cultivars were grown under permanent flooding (PF) and alternate wetting and drying (AWD) in soil enriched with arsenic, cadmium, chromium, and copper. Inoculation with indigenous fungi under AWD significantly reduced the arsenic accumulation in rice shoots by up to 75%. While AWD increased cadmium uptake across all cultivars, fungal inoculation led to a moderate reduction in cadmium accumulation—ranging from 15% to 25%—in some varieties. These effects were not observed under PF conditions. The results demonstrate the potential of native fungi as a nature-based solution to mitigate heavy metal stress in rice cultivation, supporting both environmental remediation and sustainable agriculture. Full article

The quest to establish permanent outposts in space, the Moon, and Mars requires growing plants for nutrition, water purification, and carbon/nutrient recycling, as well as the psychological well-being of crews and personnel on extra-terrestrial platforms/outposts. To achieve these essential goals, the safety, quality, and sustainability of plant material grown in space should be comparable to Earth-grown crops. In this study, radish plants were grown at 2500 ppm CO₂ in two successive grow-outs on the International Space Station and at similar CO₂ partial pressure at the Kennedy Space Center. An additional control experiment was performed at the University of Louisiana Lafayette laboratory, at ambient CO₂. Subsequent analyses of glucosinolate and sugar species and content showed that regardless of growth condition, glucoraphasatin, glucoraphenin, glucoerucin, glucobrassicin, 4-hydroxyglucobrassicin, 4-methoxyglucobrassicin, and three aliphatic GSLs tentatively assigned to 3-methylpentyl GSL, 4-methylpentyl GSL, and n-hexyl GSL were present in all examined plants. The most common sugars were fructose, glucose, and sucrose, but some plants also contained galactose, maltose, rhamnose, and trehalose. The variability of individual secondary metabolite abundances was not related to gravity conditions but appeared more sensitive to CO₂ concentration. No indication was found that radish cultivation in space resulted in stress(es) that increased glucosinolate secondary metabolism. Flavor and nutrient components in space-grown plants were comparable to cultivation on Earth. Full article

In recent years, increasing efforts have been directed towards reducing greenhouse gas emissions from agriculturally managed soils to mitigate their negative environmental impacts. The total emissions released are influenced by the chosen farming practices, including soil surface treatment methods. While numerous studies have focused on arable cropping systems, research in permanent crops, such as vineyards, remains limited. For this reason, our study aimed to assess the effects of different soil surface management strategies in vineyard inter-rows on CO₂ emissions. Five treatments were examined: cultivation to a depth of 70 mm (C70); cultivation to a depth of 150 mm (C150); compost application (50 t·ha⁻¹) incorporated into the soil at 150 mm depth (C+C150); mulching with plant residues left on the soil surface (M) and an untreated control (Co). Results from two-year measurements indicated the highest CO₂ emissions in the C+C150 treatment (42–76% higher) and C150 (34–53% higher) compared to the control (Co). The impact of soil surface treatment on CO₂ emissions is further substantiated by cumulative values recorded over 120 days, ranging from 11–24 g C-CO₂·m⁻²·h⁻¹, corresponding to 9.64–21.03 Mg C-CO₂·ha⁻¹·y⁻¹. Full article

The ongoing climate crisis and growing water scarcity are exerting increasing pressure on agriculture in Southern and Western Europe, leading to reduced crop yields, greater risk of land abandonment, and deterioration of soil quality. Despite the extensive literature on irrigation and water use in agriculture, the specific relationship between irrigation availability and changes in the type of farming (ToF) remains insufficiently investigated. This study aims to address this gap by analyzing data from the 2010 and 2020 Italian General Agricultural Censuses conducted by ISTAT, in combination with microdata from the Italian Farm Accountancy Data Network (FADN), focusing on irrigated farms in Southern Italy. Descriptive analysis reveals that over 60% of irrigated farms specialize in permanent crops and predominantly adopt efficient irrigation systems such as drip irrigation. Between 2010 and 2020, approximately 23.8% of farms changed their ToF; however, these transitions were not generally associated with improvements in productivity or profitability. Results from logistic regression models suggest that structural variables—including Utilized Agricultural Area (UAA), economic size, and demographic characteristics such as the farmer’s gender—play a more significant role in determining changes in the ToF than the presence of irrigation itself. Moreover, the adoption of organic practices and larger farm sizes are positively associated with ToF changes. These findings suggest that while there has been some shift toward less water-demanding and potentially more sustainable crops, the impact of irrigation on such transitions remains limited. The results underscore the need for more targeted agricultural policies and improved data collection to support effective climate adaptation strategies in the sector. Full article

Antibiotics are a great blessing for humanity, and they have saved millions of human lives. Antimicrobials have enabled humans to produce animal-based foods that are free of pathogens. However, antibiotics also have a number of weaknesses. The use of antimicrobials in livestock production can have adverse consequences for the natural environment. The aim of this study is to evaluate the applicability of manure from turkeys administered monensin (M), enrofloxacin (E), and doxycycline (D) as soil fertilizer and to determine the impact of these antibiotics on the physicochemical, microbiological, and biochemical properties of soil in a pot experiment. The following treatments were established: unfertilized soil (S), soil fertilized with turkey manure free of antibiotics (C), soil fertilized with turkey manure containing only M (M), soil fertilized with turkey manure containing M and E (ME), and soil fertilized with turkey manure containing M, E, and D (MED). The experimental plant was Zea mays. The study demonstrated that the soil application of turkey manure containing all three antibiotics (MED) did not inhibit the growth of Zea mays, did not lead to adverse changes in the physicochemical properties of soil, and did not disrupt the abundance or diversity of culturable microorganisms, despite the fact that these antibiotics were identified in both the soil and Zea mays roots. The application of manure containing M, E, and D in the cultivation of Zea mays contributed to the transfer and presence of E and D in soil and maize roots. Antibiotics were not detected in above-ground plant parts. Monensin was not identified in soil or plant samples. The tested manure induced significant changes in the biochemical index of soil quality and in the microbiome of non-culturable bacteria and fungi at both phylum and genus levels. These results indicate that manure from turkeys administered M, E, and D should be used with caution to avoid permanent changes in the microbiome and biochemical properties of soil. Manure contaminated with antimicrobials can be used in the production of fodder crops that do not accumulate antibiotics in above-ground parts. Full article

Due to intensive crop cultivation, soil depletion has increased interest in intercropping, cover crops, and permanent land use. In our experiment, we investigated the effect of growing oats alone or together with vetch and green manure on the structure of the rhizosphere bacteriome. As a control, we used the bacteriome of bulk soil before sowing, during the growing season, and three months after green manure. The results revealed that its composition and structure change significantly due to the type of cultivation and the presence of plants. Plant roots had a significant impact by reducing pH and mobilizing nutrients. It was more evident in intercropping compared to the cultivation of oats alone. The rhizosphere bacteriome structure significantly differed from that of bulk soil. The different habitats in the rhizosphere and bulk soil led to a decrease in the representation of Proteobacteria and an increase in that of Actinobacteria. Intercropping contributed significantly to increased alpha diversity compared to the cultivation of oats alone and increased availability of nitrogen and potassium. The richness and inverse Simpson diversity index in the rhizosphere ranged from 7.361 to 8.015 across soils subjected to traditional oat cultivation or intercropping. However, the bacteriomes of the rhizosphere soil clustered together and were significantly different from those of the bulk soil. Our study provides a theoretical basis for understanding the influence of roots and cultivation type on bacteriome structure. It offers novel insights for soil management and plant health by reducing pathogens present in soil. Full article

The implementation of grassland strips and maintenance of permanent semi-natural grassland are intended to promote insects on arable land to mitigate the consequences of habitat loss. While effects of grassland restoration on arable land in terms of improving overall insect diversity is well documented, knowledge on the effects on common arable species is deficient. We assessed the abundance of seven epigean carabids and five spiders in newly established grassland strips, adjacent permanent semi-natural grassland and arable crops nearby and further away from grassland strips over six years. Abundance was investigated using pitfall traps. Most carabids showed the highest abundance in arable crops and grassland strips, while permanent semi-natural grassland tended to be avoided. Epigean spiders showed similar patterns, however, some species were also associated with permanent semi-natural grassland. Pardosa palustris showed a distribution pattern with the highest individual numbers in OG and decreasing numbers toward the adjacent habitat’s grassland strips and cereals, most likely indicating spillover. The number of Brachinus crepitans/explodens was significantly higher in the first compared to the last sampling year in grassland strips due to changing habitat conditions with increasing habitat age. In conclusion, grassland strips provide an additional habitat for most of the studied species. Full article

Soil carbon sequestration is one of the pathways for the dairy sector to mitigate climate change. Soil carbon measures have been reviewed extensively, including estimates of their impacts on regional or national scales. Eventually, these measures are to be implemented by the farmers themselves, justifying an assessment at farm and field level. Here, we used soil and management data from 96 fields on nine dairy farms to quantify annual stock changes under current management and the effect of several carbon measures on soil carbon sequestration in relation to farm configurations. The fields were in use as permanent grassland or grass-arable rotation with forage maize or other crops. We compared the observed changes in the soil layer of 0–25 cm with the RothC simulated changes, and we also simulated the effect of carbon measures on soil carbon stocks. We found a moderate (R² = 0.30) relation between simulated and measured soil carbon changes. Factors that contribute to the uncertainties are the estimates of field-specific carbon inputs from crop residues and manures, especially for farms that temporarily exchange land with other farmers. The current standard agronomic soil sampling program is unable to reliably detect soil carbon changes at a farm or field level. The annual changes in simulated soil carbon were negatively related to the initials carbon stocks, which has important implications for the potential of additional carbon storage. Therefore, we propose an indicator that expresses the current soil carbon stock in relation to the location-specific maximal achievable carbon stock for permanent grassland that receives an equivalent of 170 kg nitrogen per ha per year from animal manure. This can be used to compare farms and indicate whether a farmer’s focus should be on additional carbon storage or the protection of existing stocks. The simulation of carbon measures showed that the proportion of grassland is key in soil carbon storage. Full article

Soil–water management is fundamental to plant ecophysiology, directly affecting plant resilience under both anthropogenic and natural stresses. Understanding Agricultural Soil–Water Management Properties (ASWMPs) is therefore essential for optimizing water availability, enhancing harvest resilience, and enabling informed decision-making in intelligent irrigation systems, particularly in the face of climate variability and soil degradation. In this regard, the present research develops predictive models for ASWMPs based on the grain size distribution and dry bulk density of soils, integrating both traditional mathematical approaches and advanced computational techniques. By examining 900 soil samples from the NaneSoil database, spanning diverse crop species (Avena sativa L., Daucus carota L., Hordeum vulgare L., Medicago sativa L., Phaseolus vulgaris L., Sorghum vulgare Pers., Triticum aestivum L., and Zea mays L.), several predictive models are proposed for three key ASWMPs: soil-saturated hydraulic conductivity, field capacity, and permanent wilting point. Mathematical models demonstrate high accuracy (71.7–96.4%) and serve as practical agronomic tools but are limited in capturing complex soil–plant-water interactions. Meanwhile, a Deep Neural Network (DNN)-based model significantly enhances predictive performance (91.4–99.7% accuracy) by uncovering nonlinear relationships that govern soil moisture retention and plant water availability. These findings contribute to precision agriculture by providing robust tools for soil–water management, ultimately supporting plant resilience against environmental challenges such as drought, salinization, and soil compaction. Full article

Plants adapt to biotic and abiotic stresses through physiological, morphological, and genetic changes. In recent years, the fundamental roles of epigenetic mechanisms as regulators of various immune–biological processes in nematode–plant interactions have been increasingly recognized. Epigenetic control mechanisms include non-coding RNAs (ncRNAs), DNA methylation, and histone modifications. Gene expression and gene silencing play crucial roles in activated induced resistance during pathogen attacks. DNA methylation and histone modifications are linked to defense priming or immune memory, such as systemic acquired resistance (SAR). In addition, epigenetic processes play important roles in long-term defense priming, contributing to the development of immunological memory under future stress conditions. Therefore, advances in understanding epigenetic mechanisms hold considerable potential for future research on plant–nematode interactions. However, further development in the basic understanding of interactions among various stresses, the expansion of markers for epigenetic changes, and the permanence of priming are necessary to optimize its utilization in crop protection programs. In this paper, we focus on the function of epigenetic mechanisms in plant defense responses to nematode infection, specifically root-knot nematodes (RKNs). Understanding the adaptive ability of RKNs is important for developing suitable control methods. Additionally, we explore the role of epigenetic mechanisms in plant interactions with biological control agents. Full article

The observation time and water background can affect the remote sensing estimates of the nitrogen (N) content in rice crops. This makes the use of vegetation indices (VIs) for N status monitoring and topdressing recommendations challenging, as the timing of panicle initiation and the water level in bays usually differ between farms even when managed using the same irrigation technique. This study aimed to investigate the influence of standing water levels (from 0 to 20 cm) and the time of image acquisition on a set of N-sensitive VIs to identify those less affected by these factors. The experiment was conducted using a split-plot experimental design with two side-by-side bays (main plots) where rice was grown ponded for most of the growing season and aerobically (not permanently ponded), each with four fertilization N rates. The SCCCI and SCCCI² were the only indices that did not vary depending on the time of the day when the multispectral images were collected. These indices showed the lowest variation among water layer treatments (5%), while the Clg index showed the highest (20%). All VIs were significantly correlated with N uptake (average R² = 0.73). However, the SCCCI² was the index that showed the lowest variation in N-uptake estimates resulting in equal N-fertilizer recommendations across water level treatments. The consistent performance of SCCCI² across different water levels makes this index of interest for different irrigation strategies, including aerobic management, which is gaining increasing attention to improve the sustainability of the rice industry. Full article

This paper aims to explore the willingness of farmers in the northern Namibia to adopt conservation agriculture (CA), employing the conditional logit model to estimate the probability of farmers choosing to adopt CA in different villages relative to all other alternatives and examining the effects of omitted variance and correlations on coefficient estimates, willingness to pay (WTP), and decision predictions. This study has practical significance, as agriculture plays a crucial role in the economic development of and livelihoods in Namibia, especially for those farmers who rely on small-scale farming as a means of subsistence. In terms of methodology, the data for the experimental choice simulation were collected using a structured questionnaire administered through a face-to-face survey approach. This paper adopts the conditional logit model to estimate the probability of farmers choosing to adopt CA in different villages, which is an appropriate choice as the model is capable of handling multi-option decision problems. This paper further enhances its rigor and reliability by simulating discrete choice experiments to investigate the impact of omitted variables and correlations on the estimation results. The research findings indicate that crop rotation and permanent soil cover are the main factors positively influencing farmers’ WTP for adopting CA, while intercropping, the time spent on soil preparation in the first season, and the frequency and rate of weeding consistently negatively influence the WTP for adopting CA. These discoveries provide valuable insights for formulating policy measures to promote the adoption of CA. In terms of policy recommendations, this paper puts forward targeted suggestions, including the appointment of specialized extension technicians by the Ministry of Agriculture, Water, and Land Reform to disseminate information as well as coordinate, promote, and personally implement CA activities across all regions. Additionally, to expedite the adoption of CA, stakeholders should ensure the availability of appropriate farming equipment, such as rippers and direct seeders, in local markets. Full article

Land-use and land-cover (LULC) changes in the Amazon biome are key processes that influence the environment and societies at local, national, and global scales. Numerous studies have already relied on land-cover and land-use maps to analyze change processes. This study presents a new dataset created by calculating the time required for deforested areas to transition to agriculture (annual and permanent crops) in the Brazilian Amazon biome. The calculations were performed over MapBiomas land-cover data (version 7), which range from 1985 to 2021, at a spatial resolution of 30 m. The method consists of basic algebraic operation and recursion to identify every conversion from forest to agriculture between 1985 and 2021. The results show a correlation between environmental policies and the time required for the conversion to be completed, such as the adoption of the soy moratorium and the New Forest Code, that were followed by a search for old cleared areas for the establishment of new agricultural sites. The new data can be useful in interdisciplinary studies focused on land-use and land-cover change analysis in Brazil, such as planning of forest restoration initiatives, and the evaluation of carbon stocks according to conversion length. Our accuracy assessment shows an opportunity to improve conversion length calculations by reducing errors in the classification of agriculture establishment. The major innovation of this study is the establishment of explicit links between the deforestation year of a given pixel and its respective year of agriculture establishment, which can provide new insights into understanding long-term land-use conversion processes in tropical ecosystems. Full article