Search Results (101)

Organic citrus production in semi-arid Mediterranean regions is increasingly challenged by water scarcity, soil degradation, and rising phytosanitary pressure associated with climate change. This study evaluated different sustainable management strategies under commercial organic citrus production conditions in the Andarax Valley (Almería, southeastern Spain). Two complementary field trials were conducted: (i) the assessment of four weed management systems—shallow tillage, mechanical mowing, sown cover crop, and partial manual mowing—and (ii) the comparison of four mass-trapping systems for the control of Ceratitis capitata. Fruit quality parameters, yield performance, and trapping efficacy were evaluated under commercial organic farming conditions. Weed management treatments did not significantly affect internal fruit quality parameters, including juice content, total soluble solids, titratable acidity, and maturity index, which were mainly determined by cultivar-related factors. In contrast, yield showed significant responses to treatment, growing season, and cultivar. The sown cover crop treatment (T3) produced the highest mean yields in both growing seasons, reaching 56.6 and 72.9 kg tree⁻¹ in seasons 1 and 2, respectively. In the mass-trapping trial, the liquid trap baited with hydrolyzed protein (R-9) showed the highest capture efficacy (0.060 flies trap⁻¹ day⁻¹), significantly outperforming the control treatment (0.014 flies trap⁻¹ day⁻¹) and the other evaluated trapping systems. Conversely, dry trap models (A-9 and V-8) recorded significantly lower capture rates (FTD < 0.01), which may be associated with lower retention efficiencies documented in the literature for dry-killing designs. All treatments exhibited high female selectivity (>94%). In addition, a pronounced edge effect was detected, with significantly higher captures concentrated along the orchard perimeter. Overall, the results support the integration of functional cover crops and perimeter mass-trapping strategies as sustainable tools to improve resilience and pest management in Mediterranean organic citrus production systems. Full article

China faces a pronounced contradiction between the supply and demand of agricultural water resources, coupled with relatively low efficiency in agricultural water use. It is imperative to develop modern, efficient water-saving agriculture to further unlock its water-saving potential. To enhance the adoption rate of water-saving irrigation technologies among family farms, this study delves into the influencing mechanisms behind citrus family farms’ willingness to embrace such technologies, adopting a dual perspective of self-interest and altruism. This is achieved by integrating the Theory of Planned Behavior (TPB) and the Norm Activation Model (NAM). Utilizing data from a 2024 survey of 403 citrus family farms in Sichuan Province, a structural equation model is employed for analysis. The findings reveal that (1) economic expectations and efficiency evaluations positively influence the willingness to adopt water-saving irrigation technologies in citrus family farms, whereas technical risks exert a negative impact. (2) The pathway influencing the adoption intention can be summarized as “consequence awareness → responsibility attribution → personal norms → adoption intention,” with the impact of consequence awareness on personal norms failing to achieve statistical significance. (3) Responsibility attribution mediates the relationship between consequence awareness and personal norms, while personal norms mediate the relationship between social norms and adoption intentions. Consequently, the government should implement publicity and guidance initiatives, enhance understanding of technological benefits, strengthen service support, mitigate perceptions of technological risks, organize educational and training programs, and boost confidence in technology adoption. By adopting a multifaceted approach, the government can foster the formation of a willingness to adopt water-saving irrigation technologies among citrus family farms. Full article

This article analyzes the scale, fluctuations and geographical distribution of olive (Olea europaea) cultivation in Palestine over 550 years, from the Late Mamluk period (1300–1517), through the Ottoman era (1517–1917), until the end of the British Mandate in 1947. Although olive oil played a dominant role in the diet and the local economy, there is currently no research that measures and quantifies the number of olive trees or the number of villages and towns that cultivated olive trees and produced olive oil. We reconstruct the agricultural landscape with its vast olive groves and examine the cultural history of olive tree farming, the growth of the olive oil industries and their economic role and importance. The earliest figures we have, that are from the year 1596, show that 400 villages cultivated 1,400,794 olive trees. By 1943, there were 6,053,367 olive trees that were cultivated by 644 villages. We found a strong correlation (R² = 0.96, p < 0.01) between the number of olive trees and the number of villages, indicating that olive oil demand and the olive oil industry align with population size. The research data derives from a variety of medieval local chroniclers, as well as diaries by European, North African and Middle Eastern travelers who provide descriptions of olive groves and the olive oil industry. Among the most important sources are the 1596 Ottoman tax registers. The tax registers are the first document that present clear-cut figures on the numbers of olive trees, olive presses and the names of the villages that cultivated olive groves. The main sources for the last period dealt with in this study are the British Mandate maps (1943), which display the acreage of the different crops across Palestine. The data from the maps is supplemented by two modern works on olive cultivation written by agronomists Assaf Goor (b. 1894) and Ali Nasouh (b. 1906) who were born in Palestine and employed by the British department of agriculture. The analysis of data shows that demands of local and oversea markets; the olive oil soap industry, which was based on the local olive oil; as well as competing agricultural crops like sugarcane, cotton and citrus, contributed to a complex economic structure. Olive tree cultivation did not depend on government investment. Olive groves in Palestine were rain fed, and, except for the harvest, they required relatively few working days a year. Hence, moderate policies (low taxation during periods of drought and low yields) adopted by enterprising local rulers and the central British government created a unique and relatively balanced relationship between rulers and farmers, which encouraged olive cultivation and led to a constant increase in the number of olive trees and the development of the olive oil industry. Full article

To develop carbon farming practices, decision-makers need detailed spatial data on the soil carbon sequestration (SCS) opportunities that conventional crop and soil management creates. This study exploratorily assessed SCS capacity across agricultural land in the Valencian Community using a simple carbon balance model within a GIS framework. Within this modelling approach, maps of net primary production (NPP), land-use-derived crop harvest indices, current soil organic carbon (SOC) stocks, and NPP and SOC mineralization coefficients were combined. Results show that while NPP across Valencian croplands and grasslands ranges from 0.64 to 6.43 Mg C ha⁻¹ yr⁻¹ (mean 2.42 Mg C ha⁻¹ yr⁻¹), the actual SCS capacity is much lower, ranging from −0.04 to 1.31 Mg C ha⁻¹ yr⁻¹ (mean 0.25 Mg C ha⁻¹ yr⁻¹). Significant variation exists among land uses: rice paddies exhibit the highest SCS capacity, while olive groves present the lowest. Between 2017 and 2021, SCS in Valencian agroecosystems may have offset the sector’s greenhouse gas (GHG) emissions, primarily driven by pasture and citrus because of their large extent and moderate SCS capacity, making agriculture a net-zero emitter. However, helping achieve cross-sectoral mitigation targets will depend in part on the widespread deployment of regenerative soil management (RSM) practices. While this study identifies priority areas for RSM implementation, further research is needed to determine which specific practices are most suitable for each location to maximize SCS. Full article

Unmanned aerial vehicle (UAV)-based multispectral monitoring has become an increasingly important tool for assessing crop vigor and stress under commercial agricultural conditions. However, most UAV-based studies using the normalized difference vegetation index (NDVI) in citrus systems have focused on yield estimation, disease detection, or canopy characterization during active growth phases, while the immediate post-harvest recovery period remains poorly documented. In this study, UAV-derived NDVI products were used to evaluate the canopy response in a commercial ‘Washington Navel’ orange orchard located in La Yarada Los Palos district (Tacna, Peru) following harvest. The study specifically assessed the effect of an on-farm, residue-based organic biostimulant produced from local organic wastes within a circular economy framework. The results indicate that treated plots exhibited a faster and more pronounced recovery of canopy vigor compared to untreated controls during the early post-harvest period. By integrating high-resolution UAV-based multispectral monitoring with a residue-derived biostimulant strategy, this work advances current NDVI-based applications in citrus by shifting the analytical focus from productive stages to post-harvest physiological recovery. The proposed approach provides a scalable and non-invasive framework for evaluating post-harvest canopy dynamics under water-limited, hyper-arid conditions and highlights the potential of locally sourced biostimulants as complementary management tools in precision agriculture systems. Full article

Since Portugal acceded to the European Union, the measures introduced under the Common Agricultural Policy (CAP) have significantly influenced farmers’ behavior and their choices of agricultural activities, with different consequences on agricultural sustainability. This paper analyses changes in crop-based income following the CAP evolution in Portuguese agriculture from 1989 until 2023 and their consequences on agricultural sustainability. The analysis is based on the Standard Output (SO) for temporary and permanent crops. These data were sourced from the Agricultural Census, conducted every ten years, and the Farm Structure Surveys were held every three years. To examine the evolution of land use and establish relationships between variables, the study employed HJ-Biplot methodology and cluster analysis. Then, a comparative analysis with agricultural sustainability trends, using several social and environmental indicators, was carried out. Regarding temporary crops, the results reveal a decline in the total SO weight of cereals for grain, alongside an increase in vegetables and floriculture. For permanent crops, a decrease was observed in fresh fruits and citrus fruits, while nuts and subtropical fruits showed notable growth. Also, the positive evolution of several SOs was accompanied by improvements in agricultural sustainability on environmental and social indicators. Full article

Irrigated agriculture in Mediterranean semi-arid regions is increasingly constrained by aquifer depletion and climate change. Enhancing water use efficiency in the irrigation of perennial crops is essential for long-term agricultural sustainability. This study introduces a Spatial Irrigation Adequacy Index (SIAI), a normalized index expressing the deviation between actual evapotranspiration (ET_a) and Crop Water Requirements (CWR). The framework was applied to assess irrigation performance in grapevine (Vitis vinifera), apple orchards (Malus domestica) and citrus tress (Citrus sinensis) across three groundwater-dependent systems: Requena-Utiel (Spain), Ain Timguenai (Morocco), and Campina de Faro (Portugal). ET_a was estimated using Landsat 8 and 9 imageries processed with the SSEBop model, while crop water demand was calculated with the FAO-56 dual crop coefficient method incorporating site-specific agroclimatic data. Results revealed distinct crop-specific irrigation patterns: grapevines achieved near-optimal water use, apple orchards were generally over-irrigated, and citrus groves experienced persistent deficits. The framework enables scalable, transferable assessments of irrigation performance, supporting sustainable water management and adaptive irrigation under climate variability, with potential applications in digital farm management systems, water authority decision-making, and corporate ESG reporting frameworks. Full article

The adoption of green production technologies is crucial for achieving sustainable agricultural development. However, farmers often encounter obstacles including technological complexity, budgetary constraints, and information asymmetry during the promotion. Digital technology adoption on a large scale provides a practical way to get over these challenges. This study utilizes survey data from 432 family farms in Jiangxi Province’s primary citrus-producing regions to systematically examine the impact of digital technology usage on farmers’ adoption of water-fertilizer integration technology within green production practices. It focuses on adoption probability, duration, and scale while exploring underlying mechanisms. Benchmark regression results indicate that digital technology usage significantly increases farmers’ probability of adopting water-fertilizer integration by 23.5% to 39.8%, extends adoption duration by 42.7% to 57.4%, and expands adoption scale by 16.7% to 29.1%. A series of robustness tests consistently supports these findings. Regarding the mechanism: Digital technology usage increases the adoption of water-fertilizer integration by enhancing farmers’ perceptions of economic, social, and environmental benefits. Heterogeneity analysis reveals that the promotional effect of digital technology on water-fertilizer integration is more significant among farmers who are highly educated and young, with lower capital (total capital expenditures on saplings and agricultural machinery) and lower land fragmentation levels. Furthermore, the promotional effect of digital technology on water-fertilizer integration adoption is only significant in the small-scale operation sample group. According to the study, a three-pronged strategy—digital empowerment, socialized services, and skills training—can hasten the widespread adoption of water-fertilizer integration in important citrus-producing regions. Full article

Carbon quantum dots (CQDs) are photoluminescent nanomaterials (<10 nm) with excellent hydrophilicity, biocompatibility, and low cytotoxicity, making them attractive for biological applications. However, their use in aquaculture nutrition has remained largely unexplored. This study investigated the effects of dietary CQDs on zebrafish (Danio rerio), a model organism with approximately 70% genetic homology with humans. CQDs were synthesized hydrothermally from unripe Citrus limon and characterized by UV–visible (UV-Vis) spectroscopy, UV–vis transillumination, scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy-dispersive X-ray analysis (EDX), Fourier-transform infrared spectroscopy (FT-IR), and photoluminescence (PL) spectroscopy. Zebrafish were fed diets containing varying CQD concentrations, and growth performance, condition factor (K), hematological parameters, enzymatic activity, and tissue morphology were assessed. Feeds supplemented with 2 mL CQDs produced significant improvements in growth and biochemical indicators without adverse effects. Hematological and enzymatic profiles remained within normal ranges, and histological examination revealed no morphological abnormalities, indicating the absence of toxicity. These findings suggest that citrus-derived CQDs can enhance zebrafish growth and maintain physiological health, thereby supporting their potential as safe functional feed additives in aquaculture. This approach may open new opportunities for the application of CQDs in sustainable fish farming and the broader food industry. Full article

Early and accurate detection of lemon disease is necessary for effective citrus crop management. Traditional approaches often lack refined diagnosis, necessitating more powerful solutions. The article introduces adaptive PSO-LemonNetX, a novel framework integrating a novel deep learning model, adaptive Particle Swarm Optimization (PSO)-based feature selection, and explainable AI (XAI) using LIME. The approach improves the accuracy of classification while also enhancing the explainability of the model. Our end-to-end model obtained 97.01% testing and 98.55% validation accuracy. Performance was enhanced further with adaptive PSO and conventional classifiers—100% validation accuracy using Naive Bayes and 98.8% testing accuracy using Naive Bayes and an SVM. The suggested PSO-based feature selection performed better than ReliefF, Kruskal–Wallis, and Chi-squared approaches. Due to its lightweight design and good performance, this approach can be adapted for edge devices in IoT-enabled smart farms, contributing to sustainable and automated disease detection systems. These results show the potential of integrating deep learning, PSO, grid search, and XAI into smart agriculture workflows for enhancing agricultural disease detection and decision-making. Full article

Environmental pollution and waste caused by traditional citrus farming has become more serious. As the direct subject of agricultural production, we should pay more attention to the green production behavior of farmers. Numerous studies have fully proven that technology training is the important driving factor of farmers’ production behavior, but the question of which main body or organization should carry out the training is the question that still has no definite conclusion, in order to solve this problem. Based on the perspective of the heterogeneity of agricultural technology training organizations, this study conducts a discussion on the indicators of the difference in training organization and technology adoption behavior, and uses the Oprobit and IV-Oprobit models to conduct an empirical analysis on 782 Chinese farmers’ survey data. Finally, we find: (1) Technical training has a positive impact on farmers’ GPT adoption at the 1% level. For each additional training, the probability of adopting five GPT increased by 2.6%; (2) Different training organizations have different impacts on the farmers’ technology adoption. The training of profit-oriented organizations represented by agricultural enterprises has the most obvious promotion effect on GPT adoption by farmers. The overall effect of the training of government agricultural extension departments is better than that of quasi-public welfare organizations such as scientific research institutions; (3) The above effects also have obvious heterogeneity among farmers of different ages, education levels, family social networks, planting scale, family incomes and structure. Based on this, we put forward policy suggestions such as building a diversified agricultural extension training system. Full article

Oranges are the most used fruits in Pakistan. Ensuring quality in oranges will definitely enhance customer satisfaction, and it will do wonders with respect to marketing. In the old days, this consisted of physical inspection with one’s hands and laboratory tests that were very slow and inaccurate in various cases and whose quality was not admissible for any large-scale application. The projected straightforward and simple method identifies pertinent features such as acidity, vitamin C, texture, and color. We used random forest, decision tree, KNN, and naive Bayes, with which we acquired 91.1%, 93.4%, 92.32%, and 97.67% of the data correctly, where naive Bayes performed the best. These methods induce speed, accuracy, and scalability for quality assurance in oranges and are feasible for use in citrus farming. The future will be focused on developing low-cost approaches for smallholder growers and dealers working towards revolutionizing orange quality testing. Full article

Land use conversion to perennial cropland often degrades the soil structure and fertility, particularly under Mediterranean climatic conditions. This study assessed spatial and temporal dynamics of soil properties and tree responses to 3-year repeated mature compost additions in a citrus orchard. Digital soil mapping revealed strong baseline heterogeneity in texture, CEC, and Si pools. Compost application markedly increased total organic C and N levels, aggregate stability, and pH with noticeable changes after the first amendment, whereas a limited C storage potential was found following further additions. NDVI values of tree canopies monitored over a 3-year period showed significant time-dependent changes not correlated with the soil fertility variables, thus suggesting that multiple interrelated factors affect plant responses. The non-crystalline amorphous Si/total amorphous Si (_iSi:Si_amor) ratio is here proposed as a novel indicator of pedogenic alteration in disturbed agroecosystems. These findings highlight the importance of tailoring organic farming strategies to site-specific conditions and reinforce the value to combine C and Si pool analysis for long-term soil fertility assessment. Full article

Some Vibrio parahaemolyticus strains cause translucent post-larvae disease (Vp_TPD), leading to significant economic losses in shrimp farming. We aimed to identify whether a mixture of natural antimicrobials, AuraAqua (Aq), can protect white-leg shrimp (Penaeus vannamei) against the lethal effects of Vp_TPD and to understand its biological mode of action. Herein, we demonstrate that Aq, an antimicrobial mixture composed of a blend of organic acids, citrus, and olive extracts, suppressed Vp_TPD virulence at sub-inhibitory concentrations and conferred robust protection to shrimp. The minimum inhibitory and bactericidal concentrations against the Vp_TPD isolate were at 0.05% and 0.2%, respectively. At 0.05–0.1%, Aq reduced bacterial growth and downregulated six major virulence genes (vhvp-1, vhvp-2, vhvp-3, pirA_Vp, pirB_Vp, pirAB_Vp), while leaving metabolic ldh expression unaltered. Parallel in vitro assays revealed diminished adhesion of Vp_TPD to primary shrimp gut and hepatopancreas epithelial cells and a ≈50% reduction in infection-induced extracellular H₂O₂, indicating an antioxidant effect. The treatment also triggered a time-dependent surge in extracellular alkaline phosphatase (ALP) activity, consistent with membrane permeabilization. In vivo, a challenge of post-larvae with 10⁴ CFU/mL Vp_TPD resulted in 91% mortality after 45 h; co-treatment with 0.1% and 0.2% Aq reduced mortality to ≈12% and ≈6%, respectively, while 1% Aq achieved ≈98% survival. The clinical protection test confirmed that 0.1% Aq preserved high survival across four pathogen inocula (10¹–10⁴ CFU/mL). Conclusively, Aq destabilized the pathogen and therefore transcriptionally silenced multiple virulence determinants, translating into significant in-pond protection for controlling Vp_TPD for shrimp aquaculture. Full article

Citrus is one of the most widely consumed fruits in the world, and its cultivation industry continues to develop rapidly. However, the roles of soil protistan communities during citrus growth are not yet fully understood, despite the potential significance of these communities to the health and quality of citrus. In this study, we examined the soil properties and protistan communities in Eureka lemon farmlands located in Chongqing, China, during the flowering and fruiting stages of cultivation, both in greenhouse and open-field settings. In general, the majority of the measured soil properties (including nutrients and enzyme activities) exhibited higher values in open-field farmlands in comparison to those observed in greenhouse counterparts. According to the results of high-throughput sequencing based on the V9 region of eukaryotic 18S rRNA gene, the diversity of soil protistan communities was also higher in open-field farmlands, and both lemon growth stage and cultivation modes showed significant effects on soil protistan compositions. The transition from traditional agricultural practices to greenhouse farming resulted in a significant transformation of the soil protistan community. This transformation manifested as a shift towards a state characterized by diminished nutrient cycling capabilities. This decline was evidenced by an increase in phototrophs (Archaeplastida) and a concomitant decrease in consumers (Stramenopiles and Alveolata). Community assembly analysis revealed deterministic processes that controlled the succession of soil protistan communities in lemon farmlands. It has been established that environmental associations have the capacity to recognize nitrogen in soils, thereby providing a deterministic selection process for protistan community assembly. Furthermore, a production index was calculated based on 12 quality parameters of lemons, and the results indicated that lemons from greenhouse farms exhibited a lower quality compared to those from open fields. The structure equation model revealed a direct correlation between the quality of lemons and the cultivation methods employed, as well as the composition of soil protists. The present study offers insights into the mechanisms underlying the correlations between the soil protistan community and lemon quality in response to changes in the cultivation modes. Full article