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382 results for “Citrus”
Lower reproductive rates of Asian citrus psyllid (Hemiptera: Psyllidae) on 'Tahiti' acid lime than on 'Valencia' sweet orange
<p>In Brazil, ‘Tahiti’ acid lime is usually found growing near sweet orange orchards, the main citrus grown in the country. As all citrus types, ‘Tahiti’ is susceptible to <em>Candidatus</em> Liberibacter asiaticus (CLas), the pathogen associated with huanglongbing (HLB), the most devasting citrus disease, and hosts the vector of CLas, the Asian citrus psyllid (ACP) <em>Diaphorina citri</em>. ‘Tahiti’ could then be contributing to spread CLas between ‘Tahiti’ and sweet orange orchards. Given the lack of comparative studies on the suitability of ‘Tahiti’ and sweet oranges to reproduce ACP a study was undertaken inside an acclimatized room (AR) and greenhouse (GH) involving healthy ‘Tahiti’ and ‘Valencia’ sweet orange plants. Daily temperature and relative humidity averaged 22ºC and 60% inside AR and 24°C and 70% inside GH. Two ACP couples were kept caged for 3 days on new shoots. Egg number and time for egg to hatch nymphs were assessed in AR and GH, and survival rates and time for nymphs to become adults in GH. Overall, ‘Tahiti’ was 3.5 times less suitable to ACP than ‘Valencia’. Egg number and nymph survivals were 27% and 59% lower, and the life cycle 34% longer on ‘Tahiti’ than on ‘Valencia’. Potential impacts of the results on CLas spread and HLB control are discussed.</p>
Variables of importance in the projection (VIP) list with values > 1 from OPLS-DA analysis of Citrus samples inoculated with Xanthomonas citri subs. citri
<p>Features filtered containing Variables of importance in the projection (VIP) values > 1 from OPLS-DA analysis (SIMCA) of Citrus sinensis samples inoculated with Xanthomonas citri subs. citri after 24 and 48 hours post inoculation.</p>
FIGURE 3 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 3: Time variation of Phytoseiidae densities and diversity in orchard (2) (a) on citrus leaves, (b) on weeds.
FIGURE 4 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 4: Time variation of Phytoseiidae densities and diversity in orchard (3) (a) on citrus leaves, (b) on weeds.
FIGURE 2 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 2: Time variation of Phytoseiidae and Tetranychidae densities on citrus leaves in orchard (1).
FIGURE 1 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 1: Time variation of Phytoseiidae densities and diversity in orchard (1) (a) on citrus leaves, (b) on weeds.
FIGURE 6 in Survey Of Phytoseiid Mite Species (Acari: Phytoseiidae) In Citrus Orchards In Lattakia Governorate, Syria
FIGURE 6: Macroseta on the basitarsus of the leg IV of the female of Typhlodromus (Anthoseius) thesbites.
FIGURE 7 in Survey Of Phytoseiid Mite Species (Acari: Phytoseiidae) In Citrus Orchards In Lattakia Governorate, Syria
FIGURE 7: Relative abundance of phytoseiid mite species on citrus trees in the sites considered in Lattakia governorate, Syria, based on samples collected in 2011-2012.
Use of pheromone traps as a monitoring tool for the citrus mealybug (Planococcus citri) on cocoa farms
<p>This study developed and optimised a method for the monitoring of populations of <em>P. citri</em> using pheromone-baited traps on cocoa farms and established seasonal activity of <em>P. citri</em> in Cross River State, Nigeria. The effect of time of day, pheromone trap design (Delta and sticky trap), colour (red, blue, yellow, and white) and height placement (0.3. 0.9 and 1.8m) on the capture of adult male <em>P. citri</em> and non-target insects was studied. <em>Planococcus citri</em> was observed to be present year-round with a peak in April, which coincided with the highest air temperatures. By checking traps for diel activity, it was revealed that male flight activity was highest between 1800-0600. Trap design and colour had no significant effect on the number of male <em>P. citri</em> captured, although a smaller number of non-target insects were recorded in Delta traps. Trap height placement had a significant effect on the number of <em>P. citri,</em> and non-target species caught, with the highest number of captures obtained at the lowest trap height (0.3m) and capture rate decreasing as trap height increased. There was a significant positive correlation between the number of trapped male <em>P. citri</em> and air temperature. The results suggest that <em>P. citri</em> is present all year round in the field, that Delta traps are a more suitable trap type, and that 0.3m is an effective height for the monitoring of <em>P. citri</em> on cocoa farms. These findings could be used to improve mealybug monitoring on cocoa farms and could be utilised for the development of an integrated pest management programme.</p>
Differential expression analysis to aluminum toxicity in Citrus x limonia Osbeck
<p>Here we deliver the Differential gene expression on genes response to aluminum toxicity in <em>Citrus</em> x<em> limonia. </em>Root apices of ‘Mandarin’ lime plants grown for 60 days in nutrient solutions either with 1480 mM Al<sup>3+</sup> or 0 mM Al<sup>3+</sup> were analyzed by RNA-seq.</p> <p>Clean reads were mapped to the sweet orange (<em>Citrus sinensis</em>) genome (Xu et al. 2013). Gene expression levels were calculated by CPM (Counts per million) reads. We used HTSeq ver. 0.6.1 (Anders et al. 2015) CPM estimation. The differentially expressed genes (DEGs) here reported by NOIseq ver. 2.16.0 (Tarazona et al. 2016). </p> <p> </p> <p><strong>Results:</strong></p> <p><br> Number of differentially expressed (DE) features (Probability > 0.7): 3,351</p> <p>Up-regulated (M > 0): 1,664<br> Down-regulated (M < 0): 1,687</p> <p>All software were run on OmicsBox interface.</p> <p><strong>References:</strong></p> <p>Anders S., Pyl PT. and Huber W. (2015). HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics (Oxford, England), 31(2), 166-9.</p> <p>OmicsBox - Bioinformatics made easy. BioBam Bioinformatics (Version 2.0.36). March 3, 2019. www.biobam.com/omicsbox.</p> <p>Tarazona S., Furio-Tari P., Turra D., Pietro AD., Nueda MJ., Ferrer A. and Conesa A. (2015). Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package. Nucleic acids research, 43(21), e140.</p> <p>Xu Q, Chen L-L, Ruan X, et al (2013) The draft genome of sweet orange (Citrus sinensis). Nat Genet 45:59–66.</p> <p> </p> <p>Legend: </p> <p>Regulation - UP or DOWN = differentially expressed genes, UPregulated or DOWNregulated</p> <p>Citrus_40_Al_2 - Normalized CPM for root apexes under 1480 mM Al<sup>3+</sup> </p> <p>Citrus_0_Al_1 - Normalized CPM for root apexes under 0 mM Al<sup>3+</sup></p>
Fig. 1 in Feeding behavior of Diaphorina citri (Hemiptera: Liviidae) and its acquisition of 'Candidatus Liberibacter asiaticus', on huanglongbing-infected Citrus reticulata leaves of several maturity stages
Fig. 1. Sketches of citrus leaves at several maturity stages.
Fig. 1 in Natural parasitism of the citrus leafminer (Lepidoptera: Gracillariidae) over eight years in seven citrus regions of São Paulo, Brazil
Fig. 1. Location of São Paulo State in Brazil and the citrus regions sampled.
Fig. 1 in Identity of the citrus leaf mining flea beetle in northeast India and nomenclatural changes in Amphimela (Coleoptera: Chrysomelidae: Galerucinae: Alticini)
Fig. 1. Podagricomela nigripes, dorsal habitus; scale bar = 0.5 mm.
Figure 1 in Record of pestiferous land snail, Macrochlamys indica Godwin-Austen 1883 (Gastropoda: Ariophantidae), on citrus and guava plants in Punjab, India
Figure 1. Snail on Kinnow mandarin nursery plant.
Animal pollination contributes to more than half of citrus production
<p><span>Animal pollination is crucial for the reproduction and economic viability of a wide range of crops. Despite the existing data, the extent to which citrus crops depend on pollinators to guarantee fruit production still needs to be determined. Here, we described the composition of potential pollinators in citrus (<em>Citrus</em> spp.) from the main growing areas of Argentina; moreover, we combined Bayesian models and empirical simulations to assess the contribution of animal pollination on fruit set and yield ha<sup>-1</sup> in different species and cultivars of lemons, grapefruits, mandarins, and oranges. Honeybee (<em>A. mellifera </em>L.) was the most commonly observed potential pollinator, followed by a diverse group of insects, mainly native bees. Regardless of citrus species and cultivars, the probability of flowers setting fruit in pollinated flowers was 2.4 times higher than unpollinated flowers. Furthermore, our simulations showed that about 60% of the citrus yield ha<sup>-1</sup> can be attributable to animal pollination across all species and cultivars. Therefore, it is crucial to maintain environments that support pollinator diversity and increase consumer and to producer awareness and demand in order to ensure the significant benefits of animal pollination in citrus production.</span></p>
Figure 2 in Explore the antiproliferative phytocompounds from ethanolic extracts of Citrus paradisi against liver cancer cell line by chemical analysis using TLC and FT-IR spectroscopy
Figure 2. Anti-proliferative activity of ethanolic Citrus paradisi leaves extract.
Figure 3 in Explore the antiproliferative phytocompounds from ethanolic extracts of Citrus paradisi against liver cancer cell line by chemical analysis using TLC and FT-IR spectroscopy
Figure 3. FTIR analysis of ethanolic Citrus paradisi fruits extract.
Figure 1 in Explore the antiproliferative phytocompounds from ethanolic extracts of Citrus paradisi against liver cancer cell line by chemical analysis using TLC and FT-IR spectroscopy
Figure 1. Anti-proliferative activity of ethanolic Citrus paradisi fruit extract.
Fig. 1 in Protopolybia exigua (Hymenoptera: Vespidae) nesting on Citrus grandis (Rutaceae)
Fig. 1. Protopolybia exigua (Hymenoptera: Vespidae) nest under Citrus grandis (Rutaceae) leaf.
Fig. 3 in Exophthalmus cupreipes Champion (Coleoptera: Curculionidae) in citrus crops in Mexico
Fig. 3. Exophthalmus cupreipes herbivory (A) and mass eggs (B) on Persian lime leaves.
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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
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.