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12,683 results for “tolerability”
Figure 4 in The marine live bait trade as a pathway for the introduction of non-indigenous species into California: patterns of importation and thermal tolerances of imported specimens
Figure 4. Average percent survival (± SE) of G. dibranchiata (A) and Perinereis sp. (B) after exposed to southern California thermal conditions for five days. Gray bars indicate significant difference. No difference in survival was observed among the three temperature treatments for G. dibranchiata (F2,8 = 2.67, p = 0.130). There was a significant difference in survival of Perinereis sp. among the treatments (F2,8 = 11.08, p = 0.005).
Figure 1 in The marine live bait trade as a pathway for the introduction of non-indigenous species into California: patterns of importation and thermal tolerances of imported specimens
Figure 1. Distribution by county of bait shops selling marine live bait in California according to survey responses. Live marine bait was sold in all counties shaded in grey. Numbers inside black circles indicate species sold in that county. Bait shops in shaded counties without black circles reported marine live bait sales but did not provide information on which species they sold.
Figure 3 in The marine live bait trade as a pathway for the introduction of non-indigenous species into California: patterns of importation and thermal tolerances of imported specimens
Figure 3. For each species of marine live bait, (A) the percentage of respondents who reported importing that species who answered that either seaweed (sometimes in combination with newspaper) or seawater were used as packing materials, and (B) the percentage of respondents who reported importing that species who observed hitchhikers in shipments of that species. Note that for (A), some respondents indicated that both seaweed and seawater were used as packing materials for a given species, so that the total percentage may add up to greater than 100 (e.g., for pileworms).
Data for: Plasticity in mosquito size and thermal tolerance across a latitudinal climate gradient
<p>Variations in heat tolerance among populations can determine whether a species can cope with ongoing climate change. Such variation may be especially important for ectotherms whose body temperatures, and consequently, physiological processes, are regulated by external conditions. Additionally, differences in body size are often associated with latitudinal clines, thought to be driven by climate gradients. While studies have begun to explore variation in body size and heat tolerance within species, our understanding of these patterns across large spatial scales, particularly regarding the roles of plasticity and genetic differences, remains incomplete. Here, we examine body size, as measured by wing length, and thermal tolerance, as measured by the time to immobilization at high temperatures ("thermal knockdown"), in populations of the mosquito <em>Aedes sierrensis</em> collected from across a large latitudinal climate gradient spanning 1300 km (34-44 °N). We find that mosquitoes collected from lower latitudes and warmer climates were more tolerant of high temperatures than those collected from higher latitudes and colder climates. Moreover, body size increased with latitude and decreased with temperature, a pattern consistent with James' rule, which appears to be a result of plasticity rather than genetic variation. Our results suggest that warmer environments produce smaller and more thermally tolerant populations.</p>
Figure 2 in Modeling the sustainability and economics of stacked herbicide-tolerant traits and early weed management strategy for waterhemp (Amoronthus tuberculotus) control
Figure 2. Sustainability of the programs with stacked HT traits or residual herbicides, as influenced by application time (PRE and POST) and number of herbicide SOAs on (A) weed density and (B) resistance evolution. Resistance evolution is presented as % individuals that are resistant to at least one of the herbicides excluding H, either in the form of single or multiple resistance.The populations consist of 80% individuals resistant to H initially. Herbicide scenarios are detailed in Table 2. The simulations were set to stop when weed density exceeded 1 plant m−2, hence the incomplete lines of scenario EWM(i).
Figure 1 in Modeling the sustainability and economics of stacked herbicide-tolerant traits and early weed management strategy for waterhemp (Amoronthus tuberculotus) control
Figure 1. Sustainability of the POST-only programs,as influenced by the number of herbicide SOAs and the initial level of quantitative resistance to herbicide H. Cross-resistance between herbicides H and X is included in D–F. Results are presented as the year of weed control failure; bars represent the mean, and error bars represent the range of 100 replicates. Herbicide scenarios are detailed in Table 2. r-HX, correlation coefficient between phenotypic values of H and X.
Fig. 2 in Tolerance of Colpoda cucullus Nag-1 Resting Cysts and Presumed Structure for Protection against UV Light
Fig. 2. Nomarski images (A-1−F-1) and their fluorescence photomicrographs (A-2−F-2) showing the formation of the auto-fluorescent cyst wall and NSPs in the encysting cells (wet cysts) after the onset of encystment induction. The cyst age (3 h to 5 days; A–F) is given at the upper right of each photograph. ec/en: ectocyst-endocyst complex, ec: an ectocyst layer, le: lepidosomes, ma: macronucleus, mu: mucus, NSP: nuclei-surrounding particle.
Fig. 2 in Gamma Radiation Tolerance and Protein Carbonylation Caused by Irradiation of Resting Cysts in the Free-living Ciliated Protist Colpoda cucullus
Fig. 2. Analysis of proteins (Left panel) and protein carbonylation by ECL (Right panel) from non-irradiated and 4000 Gy irradiated cells. The samples in the lanes were from non-irradiated cells (NonIR), 4000 Gy irradiated cells (IR), and cells incubated for 12 h after 4000 Gy irradiation (IR incubated). The protein bands and ECL signals were measured and are shown in parentheses for each lane relative to the Non-IR sample.
Fig. 4 in Gamma Radiation Tolerance and Protein Carbonylation Caused by Irradiation of Resting Cysts in the Free-living Ciliated Protist Colpoda cucullus
Fig. 4. Relative viability of Colpoda vegetative cells, wet cysts, and dry cysts after gamma radiation doses of 0 (non-irradiated), 500, 1000, 2000, 3000, and 4000 Gy. The column heights and attached bars are the means and standard errors, respectively, of six measurements at each dose. Double asterisks indicate a significant difference at p <0.01 (Mann-Whitney U test).
Fig. 3 in Gamma Radiation Tolerance and Protein Carbonylation Caused by Irradiation of Resting Cysts in the Free-living Ciliated Protist Colpoda cucullus
Fig. 3. Excystment of Colpoda dry cysts, after gamma irradiation at 0 (non-irradiated), 500, 1000, 2000, 3000, and 4000 Gy, as a function of time after induction of excystment. The points and bars mark the means and standard errors, respectively, of six measurements at each dose. The excystment mean ± SE at 3, 6, 24, and 96 h after the induction of excystment is shown in (a), (b), (c), and (d), respectively. The column heights and attached bars in (a) to (d) are the means and standard errors, respectively, of six measurements at each dose. Asterisks and double asterisks indicate a significant difference at p <0.05 and p <0.01, respectively (Mann-Whitney U test).
Fig. 1 in Tolerance of Colpoda cucullus Nag-1 Resting Cysts and Presumed Structure for Protection against UV Light
Fig. 1. Photomicrographs of yellowish auto-fluorescent structures of the mature cysts (wet cysts) of C. cucullus Nag-1 aged>2 weeks by UV excitation (A−D) and electron micrographs showing auto-fluorescent nuclei-surrounding particles (NSPs) (E, F) and cyst wall components (G). A, B − A Nomarski image (A) of a mature resting cyst and its fluorescence photomicrograph (B) showing autofluorescent structures. cw: cyst wall, ma: macronucleus. C−D − A Nomarski image (C) of a mature resting cyst and its fluorescence photomicrograph (D) showing autofluorescent layers of cyst wall. ec/en: an ectocyst-endocyst layer complex, en: endocyst layer. E−F − Electron micrographs showing NSPs. G − Electron micrograph showing cyst wall components. ec: ectocyst layer, en-1: first-synthesized layer of endocyst, en-2–6: second – sixth layers of endocyst, m: plasma membrane.
Fig. 1 in Gamma Radiation Tolerance and Protein Carbonylation Caused by Irradiation of Resting Cysts in the Free-living Ciliated Protist Colpoda cucullus
Fig. 1. Excystment of Colpoda wet cysts, after gamma irradiation at 0 (non-irradiated), 500, 1000, 2000, 3000, and 4000 Gy, as a function of time after the induction of excystment. The points and bars mark the means and standard errors, respectively, of six measurements at each dose. The excystment mean ± SE at 3, 6, 9, and 36 h after induction of excystment is shown in (a), (b), (c), and (d), respectively. The column heights and attached bars in (a) to (d) are the means and standard errors, respectively, of six measurements. Asterisks and double asterisks indicate a significant difference at p <0.05 and p <0.01, respectively (Mann-Whitney U test).
Fig. 4 in Tolerance of Colpoda cucullus Nag-1 Resting Cysts and Presumed Structure for Protection against UV Light
Fig. 4. Nomarski image (A-1) and its fluorescence photomicrograph (A-2) of a vacant cyst (cyst wall sample) obtained from 1-weekaged mature cysts of C. cucullus Nag-1, and its absorption spectrum (B) obtained by a spectrophotometer equipped with an integrating sphere.
Fig. 4 in Effects of the interannual variations in the flood pulse mediated by hypoxia tolerance: the case of the fish assemblages in the upper Paraná River floodplain
Fig. 4. Ordination of the samples of the upper Paraná River floodplain, through the detrended correspondence analysis (DCA), in years of short (diamond: 2000 white, 2001 gray) and moderate floods (square: 2002 gray, 2003 black). Numbers 1-6 are codes of the sampling stations (see Fig. 1).
Fig. 5 in Effects of the interannual variations in the flood pulse mediated by hypoxia tolerance: the case of the fish assemblages in the upper Paraná River floodplain
Fig. 5. Fish assemblage attributes in the main habitats of the upper Paraná River floodplain in years of short (2000 and 2001) and moderate (2002 and 2003) floods. The black area of the bars represents the proportion of STH. Numbers 1-6 on the abscissa are codes of the sampling stations (see Fig. 1).
Fig. 2 in Effects of the interannual variations in the flood pulse mediated by hypoxia tolerance: the case of the fish assemblages in the upper Paraná River floodplain
Fig. 2. Monthly (a) and daily level (b, between January and March) of the upper Paraná River recorded in Porto São José municipality. In b (right axis), the number of days between January and March, when the upper Paraná River surpassed the threshold of 350 cm (horizontal braked line). The years 2000 and 2001 were considered as years of short floods and 2002 and 2003 as years of moderate floods. Source: National Department of Waters and Electric Energy.
Fig. 6 in Effects of the interannual variations in the flood pulse mediated by hypoxia tolerance: the case of the fish assemblages in the upper Paraná River floodplain
Fig. 6. Relationships between each assemblage attribute and dissolved oxygen, in years of short (white) and moderate floods (black). Attributes where either calculated for the entire fish assemblage (STH+SIH) (a-c) and for the subsets of STH (d-f) and SIH (g-i). Numbers 1-6 are codes of the sampling stations (see Fig. 1).
Figure 3 in Response and tolerance mechanism of food crops under high temperature stress: a review
Figure 3. Process of development of heat-resistant cultivars. Identify heat-resistant genes from natural genetic resources through genome wide association mapping and then study the study how these genes are operated. Select those genes which are associated with various signaling pathways and then transform them into current germplasm.
Figure 1 in Response and tolerance mechanism of food crops under high temperature stress: a review
Figure 1. Schematic representation of most sensitive phase of various crops during high temperature stress.
Figure 1 in Antioxidant status and their enhancements strategies for water stress tolerance in chickpea
Figure 1. (a) Influence of exogenous application of osmoprotectants on crop growth rate (g m-2 day-1) of chickpea genotypes in Bahawalpur; (b) Influence of exogenous application of osmoprotectants on crop growth rate (g m-2 day-1) of chickpea genotypes in Cholistan. Whereas D1= well watered; D2= Drought at flowering+ pod formation + grain filling stage; D3= Drought at flowering stage; DAS, Days after sowing.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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