Olive Farming Research Articles

Will Olive Groves have a Future Under Climate Change Conditions in The North Aegean Sub-Region, a Mediterranean Agricultural Ecosystem of Türkiye?

The study is aimed at investigating future changes in sustainability of olive farming by means of climate change, and changes in agricultural climatic suitableness and phenology of olive tree cultivation in the North Aegean sub-region of Türkiye mainly characterised with dry summer subtropical Mediterranean climate. According to projected changes based on RCP8.5 scenario, projected warming reaches an average of 5-6°C increase indicating most negative condition on olive cultivation. According to RCP8.5 scenario annual precipitation projections, present suitable areas of olive groves will decrease in the period of 2049-2073, and almost the entire study area will be in the category of medium suitable. With respect to projected Emberger Bioclimate classification, for RCP 8.5 scenario, there will be a significant increase in dry-sub humid areas in the period of 2049-2073. This increase will cover up the coastal areas in the period of 2074-2098, and even all the study region will be very likely characterised with dry-sub humid and semi-arid Mediterranean bioclimatic types except for some coastal areas. An increase of about 6°C is expected in maximum values of maximum air temperatures during the bud swelling periods in the spring, especially after 2050 under RCP8.5 scenario. This increase in extreme maximum temperatures may cause olive trees to bloom earlier and prolong the growth period. By regarding the high vernalization requirement of main olive variety in the study area, a 6°C temperature increase may significantly decrease olive yields and will force farmers to transition to new varieties with relatively low vernalization requirements. According to both RCP scenarios, there is a possibility of extension of suitable areas for olive cultivation towards low to mid-elevation plateaus and mid-elevation slopes of mountainous areas and high plateaus particularly facing suitable aspects to lower negative effects of projected future warming and dryness.

First report of Phyllosticta capitalensis causing leaf blotch on Chinese olive (Canarium album) in Guangdong province of China.

Chinese olive (Canarium album) is a well-known plant used both as food and medicine, extensively cultivated in southern China (Kuo et al., 2016). Its production is challenged by various fungal diseases. From July to October 2023, Chinese olive plants in an approximately 400 hectare conventional hillside orchard in Chaozhou, Guangdong province, China (23°39'45.36″N, 116°37'45.48″E), where sustainable Chinese olive farming has been practiced for over a decade, exhibited leaf blotch symptoms with a disease incidence of 40% (n = 100 plants investigated). Symptoms include yellow or brown leaf blotches, followed by drying, curling, and eventual leaf drop. To identify the causal agent, seven symptomatic leaves from seven trees were collected. The symptomatic leaves were cut into pieces of about 0.3 mm2 at the necrotic lesion edges and surface disinfected. The pieces were placed on potato dextrose agar (PDA), incubated in the dark at 28°C for 5 days, then subcultured for 7 days. Four fungal isolates were obtained with an isolation frequency of 57%. Genomic DNA was extracted from the isolates. Morphological analysis and internal transcribed spacer (ITS) region sequencing revealed no observable differences among isolates. The representative isolate (LB-1) cultured on PDA was initially white, turning light grey with dense aerial mycelium after 7 days. The transparent hyphae displayed intricate branching patterns and multiple cellular structures. The conidia were single-celled, hyaline, fusiform structures measuring 3.6-7.8 × 1.17-2.83 μm (n = 50). Morphologically, the fungal isolates resembled Phyllosticta capitalensis (Wikee et al. 2013). Primers ITS1/ITS5, ACT-512F/ACT-783R, and EF1/EF2 were used to amplify the ITS region, the actin (ACT) gene, and the transcription elongation factor (TEF), respectively (Wang et al. 2023). The sequences obtained from the LB-1 isolate have been deposited in NCBI GenBank (accession nos. PP922193; PP960207 and PP960206). A phylogenetic tree was constructed based on aligned sequences (Wang et al. 2023). BLAST analysis showed LB-1 isolate shares 99.4%-100% similarity with sequences KY855645, KY855590, and KY855919 from P. capitalensis CPC27084. Based on morphological and molecular analysis, isolate LB-1 was identified as P. capitalensis. Pathogenicity assays of the LB-1 isolate were conducted on 2-year-old Canarium album seedlings. A 10⁶ spores/mL LB-1 suspension was applied to 3 mm spots on the leaves of four plants for inoculation. Controls leaves was treated with sterile water. The inoculated plants were placed in a greenhouse at 28°C with 80% humidity. The experiment was repeated 3 times. Leaves inoculated with LB-1 isolates showed blotch symptoms similar to those in the field, the controls remained healthy. Reisolation of P. capitalensis was performed confirmed by morphology and DNA sequencing, fulfilling Koch's postulates. Previous studies have shown that P. capitalensis causes fungal diseases on fruit trees such as Citrus lalifolia and Mangifera indica (Wikee et al. 2013). To our knowledge, this is the first report of Phyllosticta capitalensis causing leaf blotch on Chinese olive in China. Preliminary observations suggest it may be present in other olive-producing regions of Guangdong. It causes significant leaf wilting and shedding, potentially reduces fruit quality, and lowers overall yield. This discovery will offer valuable insights for creating effective control measures against this recently emerged severe disease.

Cultivating sustainability and resilience in olive heritage

Learning outcomes The case study’s learning objectives, structured according to Bloom’s taxonomy, engage students in higher-order thinking for critical analysis and strategic decision-making. After completion of the case study, students will be able to analyze sustainability practices and evaluate the family’s distribution model for alignment with sustainability and potential expansion strategies; explore adaptive strategies to identify adaptive solutions to challenges such as climate change and economic fluctuations; apply theoretical frameworks to balance exclusivity and growth in the olive oil industry; and assess strategic decisions considering financial viability, environmental responsibility, community engagement and sustainability. Case overview/synopsis The case study centers on the Abi Raad olive farm, a multigenerational family-owned business deeply rooted in olive cultivation traditions in Selfaya village, within Mount Lebanon’s Aley district. Led by Richard Abi Raad, the family specializes in olive cultivation, olive oil production and handmade soap manufacturing within the agriculture sector. In 2023, the organization faces significant challenges such as rising labor costs and the exploration of sustainable labor sources for future growth. Abi Raad, the primary protagonist, grapples with critical decisions regarding maintaining traditional distribution methods versus expanding into broader markets. His choices must balance the preservation of cultural heritage with the need to uphold brand integrity and competitiveness. The case study traces the family’s historical journey in olive farming and explores their contemporary strategic dilemmas, offering insights into sustainable agriculture, entrepreneurship and navigating modern challenges while honoring tradition. Through the narrative of the Abi Raad family-owned business, the case study provides profound lessons in strategic decision-making and ensuring long-term sustainability. Complexity academic level This case study is suitable for students studying master’s in business. Supplementary materials Teaching notes are available for educators only. Subject code CSS 11: Strategy.

Intensive ground cover management and landscape simplification affect community-wide floral visitor-plant interactions in olive groves

Plant-pollinator interaction networks can provide insights about the impacts of agricultural practices on biodiversity. However, studies on the agricultural impact on these networks most often focus on specific pollinator guilds (i.e., wild bees), hindering our understanding of the effects at the entire insect visitor community level. Here, we evaluated the impact of intensive agriculture and the moderation effects of landscape context on the topology of community-wide plant-visitor interaction networks (381 insect species). We also compared the responses of wild bee-based networks and community-wide plant-floral visitor networks to agricultural intensification to examine whether the former can be a good proxy of the latter. To this aim, we sampled plant-pollinator interaction networks in 24 paired olive farms with contrasting herb cover management (low-intensity management, where ground herb cover is not removed during the flowering season, and intensive management, with herbs persistently removed by herbicides and/or recurrent tillage) across a gradient of landscape complexity in Andalusia (Spain). Results show that the topology of whole floral visitor interaction networks was affected by the herb cover management and the landscape simplification. Furthermore, we found that the effects of the herb cover management were often moderated through the interaction with the landscape context at both floral stand and landscape scale. However, the landscape scale at which these interaction effects occurred varied with the network metric. Non-bee floral visitors were fundamentally redundant for the network topology. We concluded that the implementation of low-intensity management of ground covers in olive groves, together with the enhancement of the flower stands at the local level (e.g., floral strips) and the maintenance and/or restoration of semi-natural habitats at the large landscape scale, would be beneficial to the preservation of healthy and robust floral visitor communities. Our study further supports that wild-bee based interaction networks may adequately reflect the response of the entire networks of plant-floral visitor, at least in this study system.

Expected potential hemipteran vectors of Xylella fastidiosa bacterium in olive and vineyard groves of the Egyptian northwestern coast

Xylella fastidiosa was recently added to the list of threatening pathogens affecting more than 300 plant hosts. Hemipteran hoppers that feed on xylem have been documented as potential transmitters. Hemipteran hoppers, known vectors for plant pathogens via xylem feeding, pose significant risks to agriculture. Despite their role in transmitting diseases, comprehensive data on their species diversity, distribution, and seasonal patterns, particularly in critical agricultural zones, remain sparse. Hence, the current study was carried out at 14 sites (eight olive farms and six vineyards) during the 2021/2022 season to develop a comprehensive checklist of hopper species present on the Egyptian Northwestern Coast, including their seasonal and location distribution, to serve as a real roadmap supporting control strategies if the pathogen breaches Egyptian borders. Utilizing 560 yellow sticky traps, we collected data seasonally, resulting in the identification of 21 hopper species belonging to 14 genera within four families. Olive orchards harbored a higher number of hoppers compared to vineyards, with Empoasca decipiens being the most dominant species. Our findings provide a foundational checklist and highlight the importance of continued monitoring and detailed studies to support proactive control strategies against potential X. fastidiosa outbreaks. We used 560 yellow sticky traps at 10 traps per site (80 traps for olive orchards and 60 traps for the vineyard per season) throughout the study period. Traps were installed at two levels to catch hopper species harboring tree canopies and ground vegetation. Each trap was replaced every 7 days, and the collected trap sheets were sent to the laboratory for segregation and identification. The data revealed 21 hopper species belonging to 14 genera and 4 families, with cicadellid species being the most represented (14 species). Olive orchards harbored a higher number of hoppers than vineyards. Empoasca decipiens exhibited the highest dominance among the remaining species. Although summer sampling yielded the highest number of hopper species and trapped specimens, seasonal variation in the distribution pattern exhibited non-significant differences (F = 1.7 and P = 0.173). Ras El-Hekma had the highest species representation (21 species), whereas El-Negala had the highest species richness. The lowest species representation at the Barrani location had the highest abundance of caught specimens. Although there were fluctuations in the trapped specimens among the examined locations, statistical analysis revealed no significant differences (F = 0.67, P = 0.58). Cluster analysis revealed distinct groupings with different degrees of similarity for both seasonal and location distributions. The impact of trap height on the hopper capture pattern showed a biased tendency towards low traps. Diversity indices showed no significant differences between the examined locations. Although our results offer a foundation for potential control strategies against X. fastidiosa, further detailed studies are required to fill the knowledge gap regarding its suspected vectors. Such research will guide management strategies that can be applied in cases where this infectious bacterium crosses Egyptian borders.

Economic analysis of irrigation services. An application of the hedonic price method on the FADN data

The economic valuation of water uses, as the Water Framework Directive (EC/60/2000) suggests, should support policymakers in water management. Aiming to assess the economic value of irrigation water services, a hedonic price analysis was conducted on the value of farmland. Specifically, we examined the differences between collective and self-supply irrigation services, with the hypothesis that each reflects different water supply qualities that are capitalized into land value. A homogeneous sample of olive farms in the Apulia region was analysed using data from the Farm Accountancy Data Network. The results confirm the hypothesis that different economic values are assigned to water services. A higher value of self-supply service with respect to collective ones might be associated with the greater security and reliability of the service provided. Finally, our analysis points out that the Farm Accountancy Data Network database can provide policymakers with a harmonized dataset for the economic evaluation of irrigation water. This can help them to develop evidence-based policies, as required in the Water Framework Directive.

The Contribution of Cultivated and Semi-Natural Patches to the Beta Diversity of Nocturnal Lepidoptera within an Organic Century-Old Olive Grove in a Fragmented Landscape

The simplification of agricultural landscapes that has occurred in recent decades has led to a consequent decline in biodiversity. The aim of this study was to investigate the role of cultivated and semi-natural areas to sustain the beta diversity of nocturnal Lepidoptera. A dataset available for an organic century-old olive farm was analysed. Sampling was carried out from July 2018 to June 2019 within eight sites. The beta diversity was explored using the Bray–Curtis quantitative similarity index. To assess the main process driving community composition, two measures of nestedness were calculated. The analyses showed that most species were more abundant in semi-natural sites, although some species were found to be barycentric or exclusive to the olive groves. The nestedness at farm and site scales confirmed that the main process driving the composition of the moth community was species impoverishment, but this process was not found to be significant when comparisons involved herbaceous semi-natural habitats and cultivated sites. We found out that the contribution of olive groves to the farm beta diversity was small but non-negligible. To improve the sustainable management of an olive grove, it is preferable to promote the presence of tree-covered areas since semi-natural herbaceous cover can be represented within the farm by low-input olive groves.

The impact of climate change on the agriculture and the economy of Southern Gaul: New perspectives of agent-based modelling.

What impact did the Roman Climate Optimum (RCO) and the Late Antique Little Ice Age (LALIA) have on the rise and fall of the Roman Empire? Our article presents an agent-based modelling (ABM) approach developed to evaluate the impact of climate change on the profitability of vineyards, olive groves, and grain farms in Southern Gaul, which were the main source of wealth in the roman period. This ABM simulates an agroecosystem model which processes potential agricultural yield values from paleoclimatic data. The model calculates the revenues made by agricultural exploitations from the sale of crops whose annual volumes vary according to climate and market prices. The potential profits made by the different agricultural exploitations are calculated by deducting from the income the operating and transportation costs. We conclude that the warm and wet climate of the Roman period may have had an extremely beneficial effect on the profitability of wine and olive farms between the 2nd century BCE and the 3rd century CE, but a more modest effect on grain production. Subsequently, there is a significant decrease in the potential profitability of farms during the Late Antique Little Ice Age (4th-7th century CE). Comparing the results of our model with archaeological data enables us to discuss the impact of these climatic fluctuations on the agricultural and economic growth, and then their subsequent recession in Southern Gaul from the beginning to the end of antiquity.

Optimizing Agroecological Measures for Climate-Resilient Olive Farming in the Mediterranean.

In order to evaluate the potential of climate change mitigation measures on soil physiochemical properties, an experiment based on the application of five agroecological practices such as the addition of composted olive-mill wastes, recycling pruning residue, cover crops, organic insect manure, and reduced soil tillage, solely or combined, was conducted over two years (2020 to 2022) in a 48-year-old olive plantation. The results showed significant increases in soil water content during the spring and summer periods for the combined treatment (compost + pruning residue + cover crops) (ALL) compared to the control (CONT) by 41.6% and 51.3%, respectively. Also, ALL expressed the highest soil organic matter (4.33%) compared to CONT (1.65%) at 0-10 cm soil depth. When comparing soil nutrient contents, ALL (37.86 mg kg-1) and cover crops (COVER) (37.21 mg kg-1) had significant increases in soil nitrate compared to CONT (22.90 mg kg-1), the lowest one. Concerning exchangeable potassium, ALL (169.7 mg kg-1) and compost (COMP) (168.7 mg kg-1) were higher than CONT (117.93 mg kg-1) at the 0-10 cm soil depth and had, respectively an increase of 100.9% and 60.7% in calcium content compared to CONT. Over the experimental period, the implementation of the five agroecological management practices resulted in enhanced soil fertility. In a long-term Mediterranean context, this study suggests that these sustainable practices would significantly benefit farmers by improving agroecosystem services, reducing reliance on synthetic fertilizers, optimizing irrigation water use, and ultimately contributing towards a circular economy.

Integration between olive cultivation and sheep farming in Brazil: Carbon footprint mitigation potential

Two economic activities have been integrated in southern Brazil: olive cultivation and sheep farming. The favorable edaphoclimatic conditions in the southern region for cultivating olive trees and cultural preferences for the consumption of sheep meat make this integration a valuable strategy. Considering that every activity causes environmental impact and the exploitation of natural resources, new systems that promote sustainable development and the efficient use of these resources become necessary. This paper presents the first study of the carbon footprint of the life cycle of integrating of sheep and olive farming, with the objective to build an inventory based on primary data collected on olive and sheep farms in Brazil, determine the carbon footprint of the conventional and integrated system and estimate the potential for mitigating GHG emissions. The evaluation was performed using the life cycle assessment (LCA) methodology. The study focuses on the detailed analysis of the processes and activities that are responsible for GHG emissions, including enteric methane emissions, methane emissions from manure management, emissions from nitrogen fertilizer use and limestone application and energy consumption. For this, two major scenarios were considered, the first centered around on the traditional olive cultivation and sheep farming systems individually, and the second involved their synergistic integration. The findings indicate that the conventional system is associated with a global warming impact of 6.8 kg CO2eq per liter olive oil and kg live weight. In contrast, the integrated system demonstrates a significant mitigation potential of 27.7%, resulting in a reduced global warming impact of 4.92 kg CO2eq. This advantage is a consequence of the synergy between the systems, as they now occupy the same area, which allows the sharing of agricultural activities and agrochemical inputs, in addition to optimizing nutrient recycling and complementing each other. Additionally, the results of a sensitivity analysis showed that enteric methane from sheep and the application of limestone to the soil are the most influential parameters on the carbon footprint, indicating that they are key parameters for the development of GHG mitigation strategies, some of which were discussed in the article.

Ecological, social and economic benefits of organic olive farming outweigh those of intensive and traditional practices

Olive farming has vastly intensified across the Mediterranean basin recently. This ongoing process has detrimental social and environmental outcomes, but it also represents a unique opportunity to study the impacts of intensification and identify solutions for sustainable management of this iconic and culturally important crop. This interdisciplinary study jointly explores the ecological, social, and economic consequences of olive farming intensification, to identify solutions for sustainable agriculture. During 2017–2019 we conducted ecological, social and economic surveys in 50 olive groves plots, each representing different intensification levels (super-intensive, intensive, organic, extensive, and traditional olive groves) and plots with natural vegetation as ecological control. Birds and plants were sampled to assess biodiversity under each intensity level. Landscape preference was assessed using an online survey (n = 299) targeting the general public, featuring representative images for the different intensity levels. Data on yield, revenue, profit, and costs in the olive groves was collected from farmers for two seasons (n = 44). Our results demonstrated a trade-off between economic and socio-ecological benefits. Intensive and super-intensive groves maximize the economic values at the expense of the socio-ecological values, whereas the opposite is true for traditional groves. However, within this gradient we found few opportunities to promote sustainable olive farming. Organic groves demonstrated an optimal solution, with an economic value similar to intensive plots, rich biodiversity and high appreciation by people. On the other hand, extensive olive farming represented a non-sustainable situation, in which socio-ecological values were similar or lower than organic groves, while yield and profit were the lowest found in this study. Traditional groves were the most appreciated landscape, hosting bird and plant communities similar to nearby plots with natural vegetation. Building on these results we highlight several policy directions that can help reconcile olive production, biodiversity conservation and social values to conserve this important cultural landscape sustainably.

Temporal mismatches in flight activity patterns between Pipistrellus kuhlii and Prays oleae in olive farms: Implications for biocontrol services potential

Abstract Biocontrol services are widely recognized to provide key incentives for bat conservation. However, we have virtually no information on whether and how disruptions in bat‐mediated biocontrol services are driven by mismatches between the temporal activity patterns of insectivorous bats and insect pests. We investigated the temporal relationship between the nightly activity patterns of the common pipistrelle bat (Pipistrellus kuhlii) and the olive fruit moth (Prays oleae). Temporal mismatches between species pairs were estimated as the time difference (expressed as a percentage of the night) at which P. kuhlii and P. oleae reached 50% of their abundance. The study was carried out during spring, summer, and fall between 2017 and 2019 in 60 olive farms representing increasing levels of structural simplification (as a surrogate of agricultural intensification). Olive farms were classified as exhibiting high (i.e. HIGH olive farms; n = 27), intermediate (MID; n = 18), and low (LOW; n = 15) structural complexity. Temporal mismatches between the activity levels of P. kuhlii and P. oleae varied between seasons and types of olive farms, being comparatively lower in summer than in spring and fall. Furthermore, summer was the only season in which temporal mismatches between species pairs differed between types of olive farms, with higher temporal mismatches found in LOW than in HIGH and MID olive farms. Overall, our work demonstrates the existence of temporal mismatches between the nightly activity patterns of P. kuhlii and P. oleae. Furthermore, it demonstrates that the structural simplification of olive farms increases temporal mismatches between species pairs, particularly in summer when bat‐mediated biocontrol services are most needed. Synthesis and applications. Future research should consider mismatches between the temporal activity patterns of insectivorous bats and insect pests. Otherwise, the actual impact of agricultural intensification on bat‐mediated biocontrol services as well as the economic impact of their loss on the agriculture industry might be underestimated. To enhance biocontrol services, we propose increasing the availability of suitable roosting and foraging sites as well as conserving areas of remnant native woodland and scattered hollow‐bearing trees.

Eco-Efficiency of Olive Farms across Diversified Ecological Farming Approaches

Eco-efficiency is commonly used as an indicator of sustainability since it expresses the efficiency with which natural resources are utilized to meet people’s needs. Agriculture relies heavily on these ecological resources and by-produces significant environmental burdens, shifting the interest of researchers and policymakers toward the promotion of ecological practices. However, limited evidence exists regarding eco-efficiency across various ecological approaches like low input, conservation, and organic farming. This paper contributes to the existing literature and provides insight into the eco-efficiency of Cretan olive farms managed under different ecological approaches. Olive oil production is vital for the socio-economic sustainability of Mediterranean agriculture, a significant element of the region’s culture, and the basis of the well-known “Mediterranean diet”; therefore, it is crucial to investigate eco-efficient management options for olive farmers. Data Envelopment Analysis (DEA) and a second-stage statistical analysis are employed to estimate the eco-efficiency of olive farms and investigate factors affecting it. Composite indicators for biodiversity, soil, and input management are incorporated in the eco-efficiency model. The results indicate that organic farms achieve the highest eco-efficiency scores, followed by other ecological approaches. Additionally, eco-efficiency seems to be explained by farmers’ dependency on subsidies, commitment to farming activity, and environmental awareness.

Agroclimatic mapping for olive cultivation in Brazil: pinpointing optimal growing regions.

This research aimed to identify the agroclimatic zones in Brazil, excluding Rio Grande do Sul, that are suitable for olive (Olea europaea L.) cultivation, considering both climatic and topographical factors. Olives require specific conditions: moderate winter temperatures (7-15 °C), warmer summers (25-35 °C) and sufficient water during growth and fruit maturation. They can endure some drought, making them a viable option for agricultural diversification. Using daily meteorological data from 1989 to 2023 from NASA-POWER, this study analyzed variables like air temperature (minimum and maximum) and rainfall. Key climate variables were the mean air temperature in winter (T_w), spring (T_s), summer (T_su) and autumn (T_a) and total annual precipitation (Prec). Criteria for suitability included: T_w between 5 and 20 °C, T_s between 15 and 23 °C, T_su between 15 and 30 °C, T_a between 15 and 22 °C, annual precipitation over 900 mm and altitude below 900 m. Geographic information system software and Python 3.8 were employed for data analysis and zoning. Results indicated that only 1.92% of the analyzed area, mainly in Minas Gerais, was suitable for olive cultivation. High temperatures and low rainfall in Brazil, particularly in the North and Midwest, make 59.56% of the country unsuitable for olive farming. Additionally, 18.58% of the land, mainly in the Northeast, faces challenges due to extreme heat (T_w) and insufficient water supply. © 2023 Society of Chemical Industry.

Estimating the Economic Efficiency of Olive Farms in Nineveh Province for the Production Season 2021 (Bashiqa district as a Model)

Estimating the Economic Efficiency of Olive Farms in Nineveh Province for the Production Season 2021 (Bashiqa district as a Model)

Conventional versus organic olive farming: which has a better economic performance?

The European Green Deal sets a target of at least 25% of the total EU agricultural land under organic farming by 2030. In the case of the Spanish olive sector, organic olive farming accounts for barely 10% of the national agricultural area dedicated to this crop. Within this context, this study compares the economic performance of Spanish conventional and organic olive farms in terms of productivity, profitability, viability, resilience, and independence. To do so, microdata provided by the Spanish Farm Accountancy Data Network have been used, and matching methods have been applied to conduct an unbiased comparative analysis of matched conventional and organic farms. Results show statistically significant differences in productivity, with conventional olive groves being more productive. However, CAP subsidies are shown to be an effective instrument for promoting the conversion to organic farming in olive groves since they cancel out the differences in profitability between these two production systems. There is also evidence of the greater resilience of organic farms. These results could contribute to a more efficient design of instruments promoting the ecological transition of agriculture in line with the aforementioned policy objective.

Olive leaf protein: Extraction optimization, in vitro digestibility, structural and techno-functional properties

Olive leaf, as an important by-product of olive farming, is generated from the pruning and harvesting of olive trees and represents >10 % of the total olive weight. The present study was conducted to evaluate the composition, functional and structural characterizations, as well as the in vitro digestibility of olive leaf proteins isolated from ultrasonic-assisted extraction, comparing to classical and industrial techniques. The ultrasound-assisted extraction of olive leaf protein was optimized by the simultaneous maximization of the yield and purity of protein using a Box-Behnken design (BBD) of response surface methodology (RSM). The results indicated that the optimal extraction conditions were as follows: pH of 10.99, temperature of 40.48 °C, sonication time of 47.25 min, and solvent/solid ratio of 24.08 mL/g. Under these conditions, the extraction yield and protein content were 11.67 and 51.2 %, respectively, which were significantly higher than those obtained by the conventional techniques. Regarding the functionality of protein, extraction technique had significant impacts on the structural and functional properties of proteins. In general, ultrasound assisted extraction had higher solubility, and better foaming and thermal properties and in vitro digestibility but lower emulsifying stability and fluid binding capacity compared to conventional ones. Ultrasound-assisted alkaline extraction has great potential to produce edible olive leaf protein with modified functional properties that can be used for various aims in the food applications.

In Rural Areas Internet Connection Problems and Solution Recommendations Experienced in The Process of Using Smart Agriculture Methods in Olive Farming

In Rural Areas Internet Connection Problems and Solution Recommendations Experienced in The Process of Using Smart Agriculture Methods in Olive Farming

Towards a comparative analysis of olive farmers’ technical efficiency: Lessons from Data Envelopment analysis and Fuzzy-set Qualitative Comparative Analysis on small olive farms in Tunisia

Towards a comparative analysis of olive farmers’ technical efficiency: Lessons from Data Envelopment analysis and Fuzzy-set Qualitative Comparative Analysis on small olive farms in Tunisia

Challenging global changes in a post-revolutionary context: the case of irrigated olive growing in central Tunisia

Abstract. Research on agricultural development models shows that local applications of global models are adapted both to the globalisation of agricultural markets and to climate change. The circulation of such models is also linked to local political and historical contexts. However, few studies have focused on abrupt changes in economic policies, such as those following the Arab Spring. We propose to study the evolution of olive-growing development policies in post-revolutionary Tunisia. In order to mitigate both market- and climate-induced vulnerabilities and to make the sector more competitive with major olive producers, Food and Agriculture Organization (FAO) guidelines recommend intensification of Tunisian olive farming through irrigation. Our research makes two main claims: (1) the change in the production model towards irrigation aims to respond to globalisation, climate change and national policies. (2) Some exporters are involved at several levels of the value chain. This research conducted by geographers and economists analyses the mutations of the olive sector towards irrigation, using a double theoretical framework on the circulation of agricultural development models, with a political-ecology approach. This paper contributes to a growing body of research on the relationship between commodity production networks and water studies.