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470 results for “Coffee”
FIGURE 1 in Description of new cicada species associated with the coffee plant and an identification key for the species of Fidicinoides (Hemiptera: Cicadidae) from Brazil
FIGURE 1. Fidicinoides sarutaiensis sp. n. A. Head and thorax (dorsal view). B. Head frontal view. C. Metathorax and abdômen (ventral view). D. Left fore femur (lateral view). E. Right fore wing. F. Right hind wing.
FIGURE 2 in Description of new cicada species associated with the coffee plant and an identification key for the species of Fidicinoides (Hemiptera: Cicadidae) from Brazil
FIGURE 2. Lateral view (left) of male Fidicinoides sarutaiensis sp. n. genitalia. Posterior view (right) of male uncus.
FIGURE 4–7. 4 in Recent occurrence of Aphanogmus dictynna (Waterston) (Hymenoptera: Ceraphronidae) in Kenya — an important hyperparasitoid of the coffee berry borer Hypothenemus hampei (Ferrari) (Coleoptera: Curculionidae)
FIGURE 4–7. 4. Female, dorsal mesosoma; 5. Female, lateral mesosoma; 6. Male, genitalia; 7. Female, dorsal metasoma.
FIGURES 8–10. 8 & 9 in Recent occurrence of Aphanogmus dictynna (Waterston) (Hymenoptera: Ceraphronidae) in Kenya — an important hyperparasitoid of the coffee berry borer Hypothenemus hampei (Ferrari) (Coleoptera: Curculionidae)
FIGURES 8–10. 8 & 9. Males, heads in frontal view; 10. Male, fore wing venation. (at same scale of magnification).
FIGURE 1–3 in Recent occurrence of Aphanogmus dictynna (Waterston) (Hymenoptera: Ceraphronidae) in Kenya — an important hyperparasitoid of the coffee berry borer Hypothenemus hampei (Ferrari) (Coleoptera: Curculionidae)
FIGURE 1–3. Female, lateral habitus; 2. Female, head in frontal view; 3. Antennae: A. Female; B. Male.
Fig. 2 in Notes on Biology and Sexual Behavior of Tetrasarus platoBates (Coleoptera: Cerambycidae), a Tropical Longhorn Beetle in Coffee Plantations in Chiapas, Mexico
Fig. 2. Diagram of sexual behavior between male and female T. plato under laboratory conditions. Values inside squares are probabilities.
Fig. 1. A in Notes on Biology and Sexual Behavior of Tetrasarus platoBates (Coleoptera: Cerambycidae), a Tropical Longhorn Beetle in Coffee Plantations in Chiapas, Mexico
Fig. 1. A) Daily mating activity of 30 pairs of T. plato under laboratory conditions. B) Daily mating activity of 30 pairs of T. plato under field conditions.
Fig. 3 in Notes on Biology and Sexual Behavior of Tetrasarus platoBates (Coleoptera: Cerambycidae), a Tropical Longhorn Beetle in Coffee Plantations in Chiapas, Mexico
Fig. 3. Diagram of sexual behavior between male and female T. plato under field conditions. Values inside squares are probabilities.
Empowering Coffee Farming Using Counterfactual Recommendation based RNN-IoT Integrated Soil Fertility Control System
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FIGURE 3 in Taxonomic and phylogenic appraisal of a novel species and a new record of Stictidaceae from coffee in Yunnan Province, China
FIGURE 3. Ostropomyces pruinosellus (HKAS 113187). a, b. Pycnidia on coffee wood. c–e. Vertical section through pycnidia (arrow showing short ostiole). f. Pycnidial wall. g. Conidiophores and conidiogenous cells. h–j. Conidia (arrow showing septation). k. Germinating conidium. l. Colony on PDA medium. m. Conidia forming a large branch. Scale bars: d, e = 100 µm, f, h, i = 10 µm, g, k = 20 µm, j = 5 µm, m = 30 µm.
Coffee Berry Borer (Hypothenemus hampei Ferrari) trap catch and associated weather variables on Hawaii Island
<p>We sampled flying female CBB adults bi-weekly over a three-year period using red funnel traps baited with an alcohol lure at 14 commercial coffee farms on Hawaii Island to characterize seasonal phenology and the relationship between flight activity and five weather variables. We captured almost 5 million scolytid beetles during the sampling period, with 81-93% of the trap catch comprised of CBB. Of the captured non-target beetles, the majority were tropical nut borer, black twig borer and a species of <i>Cryphalus</i>. Two major flight events were consistent across all three years: an initial emergence from January-April that coincided with early fruit development and a second flight during the harvest season from September-December. A generalized additive mixed model (GAMM) revealed that mean daily air temperature had a highly significant positive correlation with CBB flight; most flight events occurred between 20-26 °C. Mean daily solar radiation also had a significant positive relationship with flight. Flight was positively correlated with maximum daily relative humidity at values below ~94%, and cumulative rainfall up to 100 mm; flight was also positively correlated with maximum daily wind speeds up to ~2.5 m/s, after which activity declined.</p>
Screening coffee genotypes for brown eye spot resistance in Brazil
<p><span>Several researchers have attempted to develop coffee plants that are resistant to brown eye spot (BES); however, no coffee cultivars are resistant to the disease. In the present study, a blend of strains from <i>Cercospora coffeicola </i>was inoculated into 19 Brazilian commercial cultivars and 41 accessions from the Germplasm Collection of Minas Gerais to evaluate the genetic resistance ability within the population and select superior genotypes for the breeding program. After predicting the genotypic values of the studied material, the evaluations number necessary for selecting genotypes with accuracy and efficiency was determined based on the data of severity to BES. The action of defense mechanisms plant was also investigated by assessing the levels of total soluble phenolic compounds and soluble lignin in contrasting genotypes for disease susceptibility. Based on the results, the accession MG 1207 Sumatra, had an intrinsic genetic capacity to maintain low levels of severity to BES. The genotype MG 1207 Sumatra can substantially contribute to the development of new cultivars, which may lead to the reduced use of pesticides. According to the accuracy and efficiency results obtained, four evaluations BES severity are sufficient to achieve accuracy, providing expressive genetic gains. Finally, the levels of lignin and phenolic compounds were not found to be associated with the resistance of coffee genotypes to BES.</span></p>
Data from: No evidence of foliar disease impact on crop root functional strategies and soil microbial communities: What does this mean for organic coffee?
<p><span>Global climate change is increasing pest and pathogen pressures on plant communities, deteriorating optimal plant functioning. In plant communities, root functional trait expression and microbial communities are important indicators of plant functioning belowground, and, when confronted with pathogens aboveground, can simultaneously reflect plant defence strategies. Yet, while research is continuing to emerge on the response of root functional traits and microbial processes to pathogens aboveground, little work has investigated these interactions in tree-crops, or the role organic amendments play in moderating these relationships. The main objective of this study is to disentangle the dynamic effects of pathogens and amendments on root functional traits (i.e., specific root length and area, root diameter, root length density, root nitrogen, and root carbon to nitrogen ratio) and root endophytic fungal communities. As a model, we use <em>Coffea arabica </em>(coffee) variety Caturra along a gradient of Coffee Leaf Rust – a foliar disease prominent in coffee systems – under contrasting but widespread amendment regimes in biodiverse agroforestry systems. We found that root trait expression varies along established conservation and collaboration gradients, where fungal endophyte community composition varies significantly as a function of root traits. Belowground resource acquisition strategies do not change with foliar disease incidence, suggesting they may be decoupled. Rather, amendment regimes </span>differentially shape root trait expression and microbial communities<span>, where coffee plants under organic amendments, regardless of foliar disease incidence, expressed greater acquisitive traits and enhanced collaboration with symbiotic fungi. </span>This is an important first step in disentangling the dynamic inter-relationships between plant traits, endophytes, and pathogens, generating new questions on the role of amendments in sustainable pathogen management in biodiverse agroecosystems.</p> <p> </p>
Data set of studies and indicators on the impacts of crop diversification through coffee agroforestry.
<p>The dataset contains information about 215 papers that were included in the review study. </p>
Genetic composition and diversity of Arabica coffee in the crop's center of origin and its impact on four major fungal diseases
<p><span>Conventional wisdom states that </span><span>genetic variation reduces disease levels in plant populations. Nevertheless, crop species have been subject to a gradual loss of genetic variation through selection for specific traits during breeding, thereby increasing their vulnerability to biotic stresses such as pathogens. We explored how genetic variation in Arabica coffee sites in southwestern Ethiopia was related to the incidence of four major fungal diseases. Sixty sites were selected along a gradient of management intensity, ranging from nearly wild to intensively managed coffee stands. We used genotyping-by-sequencing of pooled leaf samples (pool-GBS) derived from 16 individual coffee shrubs in each of the sixty sites to assess the variation in genetic composition (multivariate: reference allele frequency) and genetic diversity (univariate: mean expected heterozygosity) between sites. </span><span>We found that genetic composition had a clear spatial pattern and that genetic diversity was higher in less managed sites</span><span>. The incidence of the four fungal diseases was related to the genetic composition of the coffee stands, but in a specific way for each disease. In contrast, genetic diversity was only related to the within-site variation of coffee berry disease, but not to the mean incidence of any of the four diseases across sites. Given that fungal diseases are major challenges of Arabica coffee in its native range, our findings that genetic composition of coffee sites impacted the major fungal diseases may serve as baseline information to study the molecular basis of disease resistance in coffee. </span><span>Overall, our study illustrates the need to consider both host genetic composition and genetic diversity when investigating the genetic basis for variation in disease levels</span><span>. </span></p>
Plant biodiversity declines with increasing coffee yield in Ethiopia's coffee agroforests
<p>1. Tropical agroforestry systems provide farmers with resources for their livelihoods, but are also well recognized as refuges for biodiversity. However, the relationship between yield and biodiversity might be negative in these systems, reflecting a potential trade-off between managing for increased yield or biodiversity. The potential for synergies will depend partly on the shape of the biodiversity-yield relationship, where a concave relationship suggests a faster decline of biodiversity with increasing yields than a linear or convex shape. 2. We studied the relationship between biodiversity (plant species richness and composition) and coffee yield along a gradient of management in southwestern Ethiopia, coffee's native range. We inventoried species richness and community composition of woody plants, herbaceous plants and bryophytes at 60 sites. We also measured coffee management-related variables and assessed coffee yield for three consecutive years at each site. 3. Species richness of woody plants had a concave relationship with coffee yield, i.e. tree richness declined fast initially before levelling out at higher yields, whereas there was no relationship between coffee yield and species richness of herbaceous plants or bryophytes. Species composition of woody plants, herbaceous plants and bryophytes all had a concave relationship with coffee yield. 4. From a methodological perspective, we found that multi-year data on yield was necessary to reliably assess the relationship between biodiversity and yield, and that the number of coffee shrubs or coffee dominance were poor proxies for yield when trying to capture the biodiversity-yield relationship. 5. Synthesis and applications: The concave relationship between biodiversity components (species richness and composition) and yield suggests that there is a strong conflict between the goals of increasing production and conserving biodiversity. However, it is important to recognize that this pattern is largely driven by the very low-yielding sites in natural forests. Here, even minor intensification of coffee management seems to rapidly erode biodiversity. Along the rest of the productivity gradient, there was generally no negative relationship between yield and biodiversity, implying opportunities for developing strategies for increasing yields without biodiversity loss.</p>
kinematic and force data from 11 humans interacting with a "cup of coffee"
<p>The dataset contains the kinematic and force data from 11 human participants when interacting with a virtual object that resembles a "cup of coffee". Further models that mimic human data are also provided. Codes to process and generate figures for the research paper are also available. </p> <p>Research article:<br> "Body mechanics, optimality, and sensory feedback in the human control of complex objects"</p> <p>by Reza Sharif Razavian, Mohsen Sadeghi, Salah Bazzi, Rashida Nayeem, and Dagmar Sternad</p> <p>Northeastern University</p>
Casa cafetera colombiana (Colombian coffee farm)
Casa cafetera tradicional de Colombia. Source: Objaverse 1.0 / Sketchfab
Low Poly, Old-Style Coffee Table
A simple, yet stylized free Coffee Table Source: Objaverse 1.0 / Sketchfab
Coffee Plant Leaf Disease
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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