Coffee Cultivation Research Articles

Spatiotemporal Dynamics of Soil and Soil Organic Carbon Losses via Water Erosion in Coffee Cultivation in Tropical Regions

Water erosion has severe impacts on soil and the carbon cycle. In tropical regions, it is significantly influenced by rainfall, soil erodibility, rapid changes in land use and land cover (LULC), and agricultural management practices. Understanding the dynamics of water erosion is essential for implementing precise land degradation control. This study aimed to estimate soil and soil organic carbon (SOC) losses due to water erosion over five years in a coffee-producing area in Brazil using the revised universal soil loss equation (RUSLE). The results revealed that average soil losses in coffee plantation areas ranged from 1.77 to 1.80 Mg ha−1 yr−1, classified as very low. Total and potential soil loss ranged from 2184.60 to 6657.14 Mg ha−1, a 305% difference, demonstrating the efficiency of vegetative cover (C factor) and conservation practices (P factor) in reducing soil loss rates. SOC losses were less than 200 kg ha−1 yr−1, with averages of 17.67 and 13.00 kg ha−1 yr−1 in coffee areas. In conclusion, agricultural management practices, such as the presence of native vegetation, maintaining vegetative cover in coffee rows, contour planting, and improving agronomic techniques, are essential for reducing soil and SOC losses, even in scenarios of biennial alternation in coffee production. Thus, sustainable agricultural management plays a crucial role in mitigating water erosion, maintaining productivity, and addressing climate change.

Soil Suitability for Coffee Cultivation in Non-traditional Areas of Panama-Herrera Province

The objective of this research was to determine the suitability of soils for coffee cultivation in the province of Herrera, Republic of Panama. Planting robusta coffee is gaining greater interest among Panamanian farmers as an alternative for soil conservation. On 19 farms in the province of Herrera, samples were taken (0-20 cm) to determine their properties and initiate a sustainable fertilization program that contributes to improving productivity. Digital maps were created using the Q-GIS v.3.32.1 program. The soils of the province of Herrera presented a high percentage of aluminum saturation, with low porosity problems, pH acid, low levels of organic matter and phosphorus, and low in potassium. Low average calcium content and medium magnesium content. A negative and statistically significant correlation was found between organic matter and % Al saturation, Ca and Mg, indicating that the organic matter was still in the process of mineralization. According to the principal component analysis, the soils of Las Minas district are highly influenced by the percentage of Al saturation, Mn, Cu and organic matter. The soils of Los Pozos district by pH, CEC, Ca and Mg. The results of this characterization study and the maps prepared for each soil property are expected to contribute to decision makers, technicians, scientists and producers having a baseline knowledge of the productive coffee soils in the province of Herrera and to allow the development of plans to achieve sustainable coffee production.

Leveraging Deep Learning for Real-Time Coffee Leaf Disease Identification

Agriculture is vital for providing food and economic benefits, but crop diseases pose significant challenges, including coffee cultivation. Traditional methods for disease identification are labor-intensive and lack real-time capabilities. This study aims to address existing methods’ limitations and provide a more efficient, reliable, and cost-effective solution for coffee leaf disease identification. It presents a novel approach to the real-time identification of coffee leaf diseases using deep learning. We implemented several transfer learning (TL) models, including ResNet101, Xception, CoffNet, and VGG16, to evaluate the feasibility and reliability of our solution. The experiment results show that the proposed models achieved high accuracy rates of 97.30%, 97.60%, 97.88%, and 99.89%, respectively. CoffNet, our proposed model, showed a notable processing speed of 125.93 frames per second (fps), making it suitable for real-time applications. Using a diverse dataset of mixed images from multiple devices, our approach reduces the workload of farmers and simplifies the disease detection process. The findings lay the groundwork for the development of practical and efficient systems that can assist coffee growers in disease management, promoting sustainable farming practices, and food security.

Sustainability and lives of coffee farmers in Magetan Regency, East Java, Indonesia

The lack of knowledge of farmers about efforts to manage coffee plantations with environmental and conservation views is believed to have the effects of microclimate change which are likely to impact coffee farmers in the future. The purpose of the research is to (1) identify ecological aspects on the sustainability of coffee cultivation patterns in the Magetan region, (2) find ecological factors on coffee production, and (3) describe the lives of coffee farmers related to ecological aspects. The research method was carried out by a multistage sampling method starting from the determination of subdistricts, villages, farmer groups, farmer group members, and coffee farmer samples. The data used are primary data, with a method of collecting direct survey data on 80 coffee farmers randomly in two districts of Panekan and Poncol. An analysis method to see the relationship of environmental variables to coffee production with multiple linear regression analysis and descriptive analysis for ecological aspects. he results showed that the ecological factors significantly affecting coffee production included the number of protective trees, the application of manure, and farmers' knowledge of conservation practices. Conversely, pruning and the eradication of coffee borer pests were found to have an insignificant impact. The study concludes that while efforts toward coffee sustainability have been initiated by farmers, they have not yet achieved full success. Sustainability efforts include protecting the environment through the use of manure, planting shade trees, and adopting conservation-oriented coffee cultivation practices.

Diversidade genética das características de processamento do café em Coffea canephora

ABSTRACT: With advancements in coffee cultivation, several traits may be considered in selection of plants, which must exhibit a set of favorable characteristics. The outturn index, defined as the relationship between the mass of mature fruit and processed beans, emerges as a key factor influencing productivity. This study characterized the outturn over two harvests of 57 clones marketed in the public domain and 10 registered cultivars. The analysis considers the effects of genotypes, measurements, and genetic progress achieved through plant selection. According to the maturation cycle of each clone, washed samples of cherry coffee were collected considering a completely randomized factorial design for characterization of the effects of genotypes, years, and the genotype × years (GY) interaction. The drying, peeling, and the outturn index were individually assessed. Despite the significant effects of the GY interaction, genotypes demonstrated minimal alterations in their ranking across measurements. Clones with higher outturn, including LB30, BRS1216, LB12, N7, LB10, LB20, BRS3220, and AS5, exhibited an average outturn of 25.51%, reflecting a gain of 12.17%. Conversely, clones with lower outturn, such as BG180, GJ30, GJ20, AS7, AS10, P42, N1, and P60, had an average of 19.15%, indicating a reduction of 14.02% compared to the general mean. Analyzing the distribution of the outturn values, 19.4%, 62.7%, and 17.9% of genotypes were classified as high, medium, and low outturn, respectively, providing valuable insights for optimal cultivation strategies.

L’implicite dans la littérature illustrée pour enfants : étude sur la Bande Dessinée Hourra pour le café saoudien

What's the advantage of an illustrated text? Firstly, it's clearer, and secondly, it requires less effort to interpret than a text (since the words are accompanied by images). And when aimed at children, it's a valuable teaching tool. In this case, the purpose of the illustrated text is to transmit knowledge about a cultural fact (the cultivation and preparation of coffee in Saudi Arabia). At the same time, we need to look at the form, the writing. Linguistic tools, such as signs, are used to convey this knowledge. Moreover, by being semantically structured, and therefore acceptable, the text calls on semantics; furthermore, by its presentation, in the form of a conversation involving several speakers, the text calls on pragmatics; viewed from this angle, the reader is then led to question the author's aim and the purpose of the text.

BIOPORE INFILTRATION HOLES WITH ORGANIC FERTILIZER FOR ENHANCING SOIL NUTRIENTS AND COFFEE PRODUCTION IN ACIDIC CLAY SOILS

The decreasing land area for coffee cultivation in Indonesia has led to a reduction in coffee production. The availability of land with potential for coffee plantation is also decreasing. As a consequence, coffee is cultivated on less fertile lands, such as lands dominated by clay fraction. This land generally has a low pH so that the nutrient content is more absorbed in Al and Fe which react in an acidic environment. Furthermore, heavy texture of soil also inhibits root growth, making it difficult for plants to absorb nutrients. In this study, biopore infiltration holes were used as a solution to improve acidic soil with a dominant clay fraction. The research was conducted at Agrotechnopark Jatikerto, Malang Regency and the soil analysis was conducted at the Soil Chemistry Laboratory, Faculty of Agriculture, University of Brawijaya during 2020-2022. This research was conducted experimentally with a group randomized design. There were four treatments in this study, namely 1) control/no biopore, 2) 30 cm empty biopore, 3) 30 cm biopore + 2.12 kg compost fertilizer, and 4) 30 cm biopore + 1.05 kg goat manure fertilizer. The results showed that biopore infiltration holes added with compost or goat manure fertilizer were able to increase pH, soil organic C, CEC, BS, and total N-P-K nutrients. Furthermore, the increase in organic C and total N-P-K nutrients in the study area was also directly proportional to the increase in chlorophyll content and coffee production. The increase in chlorophyll content and coffee production is a result of the increase in chlorophyll content and coffee yield.

Hyperparameter Optimization of CNN for Coffee Berry Disease Classification Using the Artificial Bee Colony Algorithm

Indonesia is one of the world's largest coffee producers, with a significant contribution to the global market. However, extreme weather challenges, such as the El Nino phenomenon, have led to a decline in coffee production of up to 30%, affecting the quality and quantity of coffee beans. A major challenge in coffee cultivation is coffee berry diseases, such as the coffee berry borer and coffee berry damage, which can cause up to 60% crop loss. Early detection of these diseases is essential to reduce losses and preserve coffee quality. This study seeks to enhance the performance of a Convolutional Neural Network (CNN) model for coffee berry disease classification by optimizing hyperparameters using the Artificial Bee Colony (ABC) algorithm. The research dataset consists of 2100 images with three categories: Healthy Berry, Berry Borer, and Berry Damage. The research stages include data preprocessing, CNN model design, hyperparameter optimization, training, and model evaluation. The results showed that the application of the ABC algorithm succeeded in significantly improving the accuracy of the CNN model compared to the method without optimization. The accuracy result obtained is 97.14% with an architecture consisting of 3 convolutional layers and 3 fully connected layers. This finding makes a real contribution to the development of meta-heuristic-based optimization techniques for coffee fruit disease classification, as well as supporting efforts to improve coffee quality amid the challenges of global climate change.

Sustainable Management Strategy for Shifting Livelihoods from Charcoal Producer Communities to Coffee Farmers in Jatiarjo Village, Prigen District, Pasuruan Regency

Communities at the foot of Mount Arjuno not only have the potential for coffee cultivation but also cattle rearing. Indirectly, the forest fires that occurred were the cause of the reduction in supporting materials to meet their livestock needs. However, this change brings a number of problems that need to be addressed. The SWOT method is used to understand in depth the internal and external factors that influence job transitions. AHP method is used to measure and assess the relative weight of each factor identified through SWOT analysis. The research results show that the management of the socio-economic impact of changing the behavior of charcoal makers to coffee farmers in Jatiarjo Village shows that this village has great potential to utilize supporting natural resources and rich local knowledge in coffee cultivation. The threat of climate change and fluctuations in coffee market prices must be anticipated with appropriate adaptation strategies. The AHP results show that human resource (HR) capacity development has the highest weight in strategic priorities, followed by socio-economic impacts, policy, market access, and the environment.

Partnership Development of Smallholder Coffee Cultivation: A Model for Social Capital in the Global Value Chain

The productivity of smallholder coffee cultivation is declining due to ageing trees, making the rejuvenation of coffee trees with superior seeds essential. This rejuvenation process requires the support and participation of various stakeholders, including the government, banks, investors, universities, community leaders, experts, extension workers, and other parties. The nature of an incomplete contract in building partnership with farmers requires confidence building to avoid higher costs in enforcing a new behavior. However, this study shows that the accumulation of social capital also leads to higher expenses in maintaining these relationships. This study aimed to develop a social capital model to enhance partnerships between coffee farmers and relevant stakeholders. The analysis used a system dynamics model for coffee production and farmer income. The data collection involved the gathering of data and information from 17 actors in the coffee industry in Lampung, particularly in Kopista community. The study reveals that the social capital model must be constructed from four components: (1) trust, (2) ongoing cooperative activities, (3) social capital connections, and (4) memories of successful cooperative actions. Active involvement and instruction from specialists on the concept of social capital and partnership models can enhance cooperation by maintaining social connections. The policy implication of this study is that the development of a social capital model and partnership must be constructed by mentoring for economic benefits and must be continuously supported.

Arbuscular mycorrhizal fungi community in coffee cultivation under different agroforestry management systems in the Maciço de Baturité region, Brazil

ABSTRACT Agroforestry systems (AFS) have been a promising alternative to mitigate the impacts of intensive use of agricultural inputs in coffee plantations and preserve the soil microbiota. Thus, the objective of this study was to evaluate the influence of coffee AFSs on the arbuscular mycorrhizal fungi (AMF) community, aiming to optimize or validate an agroecological and sustainable system for coffee cultivation in a conservation area located in the Maciço de Baturité region, Ceará state, Brazil. Soil and root samples were obtained in an AFS with coffee cultivated in the Natural/Wild system, an AFS undergoing conversion to the syntropic system, and a conventional AFS. Spore counting, mycorrhizal colonization percentage, and AMF sequencing using the Illumina Miseq platform after DNA extraction and amplification were performed on the samples. Syntropic AFS and conventional AFS showed the highest values of mycorrhizal colonization. However, no differences were observed in the number of glomerospores and beta diversity data among the three AFSs. Around 80 amplicon sequence variants (ASVs) were identified in the AFSs. Syntropic AFS had a higher number of ASVs than the other AFSs. These results show that agroecosystem management can influence AMF communities. Acaulosporaceae and Glomeraceae were the most abundant AMF families in the AFSs.

Classifying Climate‐Suitable Lands in California for Coffee Cultivation

ABSTRACTIncreased market for specialty coffee and climate volatility in traditional coffee‐growing regions of the world has prompted interest in cultivating coffee outside of the tropics, including in California. While several small coffee farms have established in California over the past couple decade, no studies have identified and quantified climatically suitable regions for growing coffee. We developed a model of Coffea arabica suitability based on agronomic studies of thermal constraints to coffee cultivation, combining heat and cold intolerance with energy requirements for maturation. This model was applied to agricultural lands across California using high‐resolution climate datasets for both modern (1991–2020) and projected near‐term (2021–2050) conditions. We explored the potential for farm thermal management approaches—such as using agroforestry shade trees—to buffer temperature extremes and augment thermal suitability. Results indicate that, in the absence of thermal management approaches, nearly all agricultural lands in the state experience temperature extremes detrimental to coffee cultivation in modern climate. By contrast, we found that over 230 km2 of agricultural land in coastal southern and central California is thermally suitable for coffee with management efforts. These suitable areas include most of the state's avocado cultivation—which may serve as a thermal buffer for coffee and favour the environmental and economic agricultural sustainability of this coupled crop system. We additionally show that projected near‐term climate coupled with management efforts leads to moderate increases in thermally suitable agricultural lands for coffee cultivation. Despite numerous economic and logistical challenges, that impede the growth of a burgeoning coffee region in coastal, southern and central California, we demonstrate that climate conditions in both today and in the future, combined with agronomic management efforts such as shading, provide an opportunity for a viable coffee production in California.

A bitter cup of coffee? Assessing the impact of climate change on Arabica coffee production in Brazil

Brazil, the world's largest producer and exporter of Arabica coffee, faces increasing challenges from climate changes. To maintain the sustainability of this commodity, innovative management techniques will be essential. This study aimed to assess the impact of climate projections, considering two CMIP6 emission scenarios (SSP2-4.5 and SSP5-8.5) on the phenology and yield of Arabica coffee in 36 representative locations across Brazil for the periods 2041-2060, 2061-2080, and 2081-2100. Observed meteorological data from the BR-DWGD (Brazilian Daily Weather Gridded Data) and projected data from CLIMBra (Climate Change Dataset for Brazil) were employed. An agrometeorological model, calibrated for Brazilian conditions, estimated yield and phenology. Results indicate significant impacts on coffee cultivation areas, mainly due to rising temperatures and increased water deficits. Projections also suggest changes in coffee phenology, with anthesis advancing in colder regions and delaying in warmer areas, while maturation timing occurring earlier in all climates. Yield increases from CO₂ fertilization were more pronounced in category C climates (Cfa, Cfb, Cwa, and Cwb), particularly in Cwb climates, reaching 2.9 bags ha-1 (3.7 bags ha-1 with irrigation) under the SSP2-4.5 scenario and 2.5 bags ha-1 (3.5 bags ha-1 with irrigation) under SSP5-8.5. However, higher temperatures and water deficits could cause severe yield losses, especially in Aw climates and under high-emission scenarios, where losses may reach 100%. Irrigation will play an important role in mitigating yield losses, especially in northern regions such as northern Minas Gerais and Bahia, where yields could exceed 30 bags ha-1. While southern Minas Gerais, São Paulo, and northern Paraná are projected to have the highest yields, these regions also face greater uncertainty and variability. This study underscores the need for adaptive agricultural practices, the development of resilient coffee cultivars, and supportive research policies to ensure the sustainability of coffee farming in the face of climate change.

Efikasi Herbisida Parakuat Diklorida Terhadap Gulma di Perkebunan Kopi Tanaman Belum Menghasilkan

Testing of the control power of the paraquat dichloride herbicide in suppressing weed growth in immature coffee cultivation was carried out in Sumber Jaya, West Lampung in May-August 2023. The research aimed to obtain an effective dose of paraquat dichloride and determine its phytotoxicity to coffee plants. The treatments consisted of 5 levels of paraquat dichloride dosage, namely 276 g ha-1(B1); 414 g ha-1(B2); 552 g ha-1(B3); 690 g ha-1(B4); and 828 g ha-1(B5) and compared with manual weeding treatment (B6) and control (no treatment) (B7). The research used a Randomized Block Design (RBD) with 4 repetitions. Based on the research results, it can be seen that paraquat dichloride at a dose of 552 - 828 g ha-1 was effective in suppressing the total weed growth of the dominant weeds Asystasia gangetica, Ageratum conyzoides, Synedrella nodiflora, Ottochloa nodosa, Paspalum conjugatum, and Richardia brasiliensis until 8 days after application (DAA). Application of paraquat dichloride at a dose of 414 - 828 g ha-1 was able to control the growth of A. conyzoides and S. nodiflora weeds until 8 DAA. Application of paraquat dichloride at a dose of 276 - 828 g ha-1 on immature coffee plants did not cause symptoms of poisoning.

Optimizing the Genetic Transformation of Coffea arabica Using Agrobacterium tumefaciens

The genetic transformation of Coffea arabica L. is an alternative strategy for obtaining plants with agronomic traits of interest that is less time-consuming than conventional breeding methods. Given the importance of coffee cultivation in Colombia, this study evaluated the main factors interfering with the genetic transformation of C. arabica using Agrobacterium tumefaciens. An efficient and reproducible method was accordingly developed that involved propagating “early” embryogenic calli in a liquid proliferation medium supplemented with 3 mg L−1 BAP for eight months, followed by sonication for 300 s in a suspension of LBA4404 OD600 of 0.5, harboring pCambia1301, and then incubation in this same suspension for 1 h. The vector pCambia1301 contained the uidA gene under control of the 35S promoter. A micropipette was used to remove the Agrobacterium suspension from the embryogenic callus. The remaining Agrobacterium suspension was blotted off by placing the embryogenic callus on filter paper. The embryogenic callus was then co-cultured for four days in a solid differentiation medium supplemented with 100 µM acetosyringone on filter paper. Subsequently, the embryogenic callus was post-cultured for four days in liquid differentiation medium under constant shaking at 100 rpm with 300 mg L−1 Cefotaxime, followed by selection with 50 mg L−1 hygromycin at 26 °C in the dark, with subcultures at 20-day intervals until somatic embryos were formed for subsequent culturing in germination medium. Molecular analysis confirmed the presence of the uidA gene in coffee seedlings transformed with strains LBA4404 and EHA105 and vectors pCambia1301 and pCambia2301 by polymerase chain reaction (PCR) analysis. This method successfully enables the stable integration of genes of interest in the coffee plant genome.

THE CHALLENGES FACED BY PRODUCERS IN THE PRODUCTION OF AMAZONIAN ROBUSTA COFFEE IN TANGARÁ DA SERRA – MT

Coffee production is one of the main activities in the world, generating around 100 million jobs directly and indirectly. In 2022, an estimated 17.97 thousand bags of Amazonian Robusta coffee were produced in Brazil. Given the considerable importance of coffee cultivation for the country as well as for the municipality of Tangará da Serra - MT, it is relevant to identify the main challenges faced by Tangará producers in the production of this type of coffee. In order to provide solutions to the problems exposed, the proposal was to characterize the producers of Amazonian Robusta coffee in Tangará da Serra - MT, identify the difficulties that interfere in production and compare them to those recorded in 2019 with those faced in 2023. For the study, a qualitative methodological approach was used, which enables a given perception of reality, with an exploratory research strategy for greater familiarity with this topic little explored in the municipality. The careful description sought to identify the obstacles faced by local coffee producers, and nineteen semi-structured interviews were conducted with these workers to collect data. The results showed that they face various challenges in the production of Amazonian robusta coffee, since they worked individually, without any ties to coffee associations or cooperatives, a factor that limits the representativeness of the crop, such as the lack of adaptation to the regime that manages water resources when the irrigation method is used for the crop, and the succession for the coffee activity, which appears as an obstacle to be overcome, since it is the transfer of power to the next manager of the business. It is evident that this production in Tangara tends to grow, since there are new entrants in the crop with crops in formation.

Agronomic performance of Arabica coffee cultivars for the low-altitude region

Abstract Temperature increase may cause some regions in the world to become marginal or unsuitable for Arabica coffee cultivation, due to either heat and/or marked water deficit. The feasibility of sustainable coffee production in these regions promotes good opportunity of income and value addition for rural producers within an expanding market. This study aimed to identify short-stature Arabica coffee cultivars with the best agronomic and qualitative performance in a low-altitude region. The experiment was located in northeastern São Paulo state, Brazil, at 565 m above sea level. During the experimental period (2014–2018) the average annual and November temperatures were 23.0 and 24.3°C, respectively, with an average annual water deficit of 109 mm. The experimental design was randomized blocks, with four replicates, and the treatments consisted of 17 short-stature cultivars. The cultivars Catuaí Amarelo IAC 62, Catuaí Vermelho IAC 99, IAC Ouro Amarelo, Obatã IAC 1669-20, Obatã IAC 4739, Tupi IAC 1699-33, IAC 125 RN and IPR 100 stood out in terms of yield, reaching approximately 50 bags/ha. The appropriate choice of Arabica coffee cultivar in a low-altitude region may result in yield increment of up to 74%. The cultivars Catuaí Vermelho IAC 99, Tupi IAC 1699-33 and IAC 125 RN produced grains with the best quality and highest hundred-grain weight, processing yield and percentage of grains retained on sieve 17. Therefore, it is possible for an Arabica coffee cultivar to have high yield and high grain and beverage quality in a low-altitude region, promoting production alternatives for farmers.

Efficiency of nitrogen fertilizers in newly implanted coffee crops

A vigorous and productive coffee crop is the result of adequate nutritional management from its young stage. High yields demand greater investments, especially in fertilization, making nutritional management indispensable. Hence, this study evaluated the growth of coffee crop formation, soil acidity and economic aspects using different fertilizers. The experiment was conducted at Pedra Bela site, Ouro Fino, Brazil, between November 2022 and June 2023. Experimental design consisted of randomized blocks with nine treatments and four replications, totaling 36 plots. Treatments included conventional urea, conventional urea via drench, ammonium nitrate, ammonium sulfate, urea + S0 + polymers, urea + NBPT, urea formaldehyde, organomineral CPMULT and coffee straw. Plant height, stem diameter, number of plagiotropic branches, defoliation percentage, soil pH, and costs were the variables evaluated. Treatment with ammonium nitrate achieved superior results in terms of pH growth within the range considered ideal for coffee crops compared with the other treatments. It also resulted in the highest number of plagiotropic branches, less defoliation and was the most cost-effective. As for soil acidity, ammonium nitrate and organomineral fertilizers promoted values within what is considered ideal for coffee cultivation.

Mitigating excessive heat in Arabica coffee using nanosilicon and seaweed extract to enhance element homeostasis and photosynthetic recovery

BackgroundGlobal warming-related temperature increases have a substantial effect on plant and human health. The Arabica coffee plant is susceptible to growing in many places across the world where temperatures are rising. This study examines how nanosilicon and seaweed extracts can improve Arabica coffee plant resilience during heat stress treatment (49.0 ± 0.3 °C) by maintaining mineral homeostasis and photosynthetic ability upon recovery.ResultsThe principal component analysis arrangement of four treatments, nanosilicon (Si), seaweed extract (SWE), Si + SWE, and control (CT), showed each element ratio of magnesium, phosphorus, chloride, potassium, manganese, iron, copper, and zinc per silicon in ambient temperature and heat stress that found influenced upper shoot rather than basal shoot and root within 74.4% of largest feasible variance as first principal component. Magnesium and iron were clustered within the silicon group, with magnesium dominating and leading to a significant increase (p ≤ 0.05) in magnesium-to-silicon ratio in the upper shoot under heat conditions, especially in Si and Si + SWE treated plants (1.11 and 1.29 fold over SWE treated plant, respectively). The SWE and Si + SWE treated plants preserved chlorophyll content (15.01% and 28.67% over Si-treated plant, respectively) under heat stress, while the Si and Si + SWE treated plants restored photosynthetic efficiency (Fv/Fm) better than the SWE treated plant.ConclusionsThe concomitant of the Si + SWE treatment synergistically protected photosynthetic pigments and Fv/Fm by adjusting the magnesium-silicon homeostasis perspective in Arabica coffee to protect real-world agricultural practices and coffee cultivation under climate change scenarios.

Huir, regresar y volver a empezar. Familias cafeteras y conflicto armado en Ciénaga, Magdalena

Although issues around coffee production have been extensively studied in Colombia, there are few studies on the relationship between coffee cultivation and armed conflict. This article is the product of a qualitative study with coffee growers —mainly women— from the municipality of Ciénaga (Magdalena), and contributes to analyzing the relationship between coffee and armed conflict in a local context. It shows how the latter has impacted the former as well as family incomes and wellbeing by breaking community and organizational ties and changing daily life. Additionally, it helps to understand the role of families and women in coffee production, and how they help to mitigate the armed conflict. It also shows how migrations, peasant traditions and knowledge, families, and the empowerment of women have allowed them to survive in territories affected by those dynamics and violent actors.