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Figure 3 in Under pressure: maternal effects promote drought tolerance in progeny seed of Palmer amaranth (Amoronthus polmeri)
Figure 3. The effect of maternal water conditions (continuous water-deficit vs. well-watered) on cumulative germination of progeny seeds in two Amoronthus polmeri populations (̜ California̜ ̹ and Kansas̹) tested under various water potentials at 20 C. Lines are fitted values obtained from the hydrotime model, Equation ̜ ̹ θ 3, g w,t¼ Φ w ― H, w, σb, with parameter estimates shown in Table 1. g tg bð50Þ w
Figure 9 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 9. Effects of weed establishment time on soybean yield averaged across Amoronthus polmeri distances from the crop row. Dashed lines indicate the confidence intervals at 95% confidence level (sample size n = 72). WAE, weeks after soybean emergence.
Figure 2 in Under pressure: maternal effects promote drought tolerance in progeny seed of Palmer amaranth (Amoronthus polmeri)
Figure 2. Differences in 1,000-seed weight, seed surface area, and total germination (dormancy) of progeny seeds from two Amoronthus polmeri populations (California and Kansas) grown under continuous water-deficit (WD) or well-watered (WW) irrigation conditions. Vertical bars on data points indicate SE.
Figure 10 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 10. Effects of Amoronthus polmeri distance from the soybean row on crop yield averaged across A. polmeri establishment times. Vertical bars represent ± standard error of the mean (SE2014 = 337.45; SE2015 = 207.14) from the analysis for comparisons between A. polmeri distances from the crop with sample size n = 72.
Figure 6 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 6. Effects of weed establishment time on Amoronthus polmeri (AMAPA) flowering (averaged across distance from the crop) at various sampling occasions for 0, 1, 2, 4, 6, and 8 wk after soybean emergence (WAE) (i.e., AMAPA-0, AMAPA-1, AMAPA-2, AMAPA-4, AMAPA-6, and AMAPA-8 respectively) in 2014 and 2015. Vertical bars represent ± standard error of the mean (i.e., flowering of the entire A. polmeri population was evaluated at each sampling occasion) from the analysis for comparisons within each sampling date (i.e., n = 12 plots for 0 WAE, 24 plots for 1 WAE, 36 plots for 2 WAE, etc.).
Figure 5 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 5. Effects of the interaction of weed establishment time and distance from the crop row on Amoronthus polmeri seed production before soybean harvest. Vertical bars represent ± standard error of the mean (SE2014 = 2,530.27; SE2015 = 1,008.30) from the analysis for comparisons between weed establishment times with sample size n = 72. WAE, weeks after soybean emergence.
Figure 8 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield
Figure 8. Relationship between ground cover and extinction coefficient for each sampling date (n = 12 plots) throughout the 2015 growing season. WAE, weeks after soybean emergence
Figure 4 in Investigation the effects of vitreous humor on proliferation and dedifferentiation of differentiated NTERA2 cells
Figure 4. Western blot analysis show that the NT2 cells are known as perfectly positive cells for OCT4 protein expression.
Figure 6 in Shading minimizes the effects of water deficit in Campomanesia xanthocarpa (Mart.) O. Berg seedlings
Figure 6. Superoxide dismutase (SOD) activity in leaves (a) and o roots (b, c, d) ofCampomanesia xanthocarpa seedlings as a function of shading (0, 30 and 70%), continuous irrigation (CI) and intermittent (II) conditions, and experimental period (start - T0, 1st and 2nd photosynthesis zero – P0, 1st and 2nd Recovery - REC and END). Uppercase letters compare the same shading and irrigation conditions in different experimental periods.Lowercase letters compare the same irrigation condition and period in different shading.The asterisk compares irrigation conditions in the same shading and period (a). Uppercase letters compare the same condition shading in the different period (d). Lowercase letters compare different irrigation conditions in the different periods (b) and same shading (c) and same period in the different shading (d). The means of shading were compared by the Tukey test, the experimental periods by the Scott Knott test, and the irrigation conditions by the Bonferroni T test. In all cases, 5% probability was used.
Figure 5 in Shading minimizes the effects of water deficit in Campomanesia xanthocarpa (Mart.) O. Berg seedlings
Figure 5. Peroxidase activity (POD) in leaves (a) and roots (b, c, d) of Campomanesia xanthocarpa seedlings as a function of shading (0, 30 and 70%), continuous irrigation (CI) and intermittent (II) conditions, and experimental period (Start - T0, 1st and 2nd Photosynthesis Zero – P0, 1st and 2nd Recovery - REC and END). Uppercase letters compare the same shading and irrigation conditions in different experimental periods. Lowercase letters compare the same irrigation condition and period in different shading. The asterisk compares irrigation conditions in the same shading and period (a). Upper case letters compare the same irrigation condition in different shading and the same shading in the different period (d). Lowercase letters compare different irrigation conditions in the different periods (b) and same shading (c) and same period in the different shading (d). The means of shading were compared by the Tukey test, the experimental periods by the Scott Knott test, and the irrigation conditions by the Bonferroni T test. In all cases, 5% probability was used.
Figure 1 in Shading minimizes the effects of water deficit in Campomanesia xanthocarpa (Mart.) O. Berg seedlings
Figure 1. Water potential (Ψw) of Campomanesia xanthocarpa seedlings as a function of continuous irrigation (CI) and intermittent (II) conditions, shading (0, 30, and 70%) (a) and experimental period (Start: T0, 1st and 2nd Photosynthesis Zero: P0, 1st and 2nd Recovery: REC and END); (b). Uppercase letters compare the same irrigation condition in different shading. Lowercase letters compare the same shading in different irrigation conditions and shading (Figure 1a).
Figure 2 in Investigation the effects of vitreous humor on proliferation and dedifferentiation of differentiated NTERA2 cells
Figure 2. Cell cycle analysis of NT2-RA cells after treatment with different amounts of VH at (A) 3 days and (B) 6 days post-treatment. After treatment with RA the number of cells at S phase decreased. These numbers were recovered after three and six days treatment with different amounts of VH.
Figure 7 in Shading minimizes the effects of water deficit in Campomanesia xanthocarpa (Mart.) O. Berg seedlings
Figure 7. Schematic representation of the effects of shading (0, 30, and 70%) on the reduction (%) of water potential (Ψw) in the1st and 2nd photosynthesis zero (P0) in relation to initial fluorescence (F0), basal quantum production of the non-photochemical processes of photosystem II (F0/Fm), potential quantum efficiency of photosystem II (Fv/Fm), maximum efficiency of the photochemical process in photosystem II (Fv/F0), and peroxidase (POD) and superoxide dismutase (SOD) activities in the leaves of Campomanesia xanthocarpa.
Figure 3 in Shading minimizes the effects of water deficit in Campomanesia xanthocarpa (Mart.) O. Berg seedlings
Figure 3. Maximum efficiency of the photochemical process in photosystem II – Fv/F0 (a, b) and basal quantum production of the non-photochemical processes of photosystem – F0/Fm (c) of Campomanesia xanthocarpa seedlings as a function of continuous irrigation (CI) and intermittent (II) conditions, shading (0, 30, and 70%) and experimental period (Start - T0, 1st and 2nd Photosynthesis Zero – P0, 1st and 2nd Recovery - REC and END). Uppercase letters compare the same irrigation condition in different shading (a) and different experimental periods (b). Lowercase letters compare different irrigation conditions in the same shading (a) and different experimental periods (b). Uppercase letters compare the same shading and irrigation conditions in different experimental periods. Lowercase letters compare the same irrigation condition and period in different shading. The asterisk compares irrigation conditions in the same shading and period (c). The means of shading were compared by the Tukey test, the experimental periods by the Scott Knott test, and the irrigation conditions by the Bonferroni T test. In all cases, 5% probability was used.
Figure 4 in Shading minimizes the effects of water deficit in Campomanesia xanthocarpa (Mart.) O. Berg seedlings
Figure 4. Dickson quality index (DQI) (a, b) and chlorophyll index (c) of Campomanesia xanthocarpa seedlings as a function of continuous irrigation (CI) and intermittent (II) conditions, shading (0, 30, and 70%) and experimental period (Start: T0, 1st and 2nd Photosynthesis Zero: P0, 1st and 2nd Recovery: REC and END). Uppercase letters compare the same irrigation condition in different shading. Lowercase letters compare different irrigation conditions in the same shading (a). The means of shading were compared with the Tukey test; experimental periods, Scott Knott test; and irrigation conditions, Bonferroni t-test. In all cases, 5% probability was used.
Dataset for Effects of sacrificial coating material in laser shock peening of L-PBF printed AlSi10Mg
<p>Includes data received from confocal microscope, CT data, full XRD data, and all figures presented in the article.</p>
Pesticide exposure triggers sex-specific inter- and trans-generational effects conditioned by past sexual selection
<p>Environmental variation often induces plastic responses in organisms that can trigger changes in subsequent generations through non-genetic inheritance mechanisms. Such transgenerational plasticity thus consists of environmentally-induced non-random phenotypic modifications that are transmitted through generations. Transgenerational effects may vary according to the sex of the organism experiencing the environmental perturbation, the sex of their descendants, or both, but whether they are affected by past sexual selection is unknown. Here we use experimental evolution on an insect model system to conduct a first test of the involvement of sexual selection history in shaping transgenerational plasticity in the face of rapid environmental change (exposure to pesticides). We manipulated evolutionary history in terms of the intensity of sexual selection for over 80 generations before exposing individuals to the toxicant. We found that sexual selection history constrained adaptation under rapid environmental change. We also detected intergenerational and transgenerational effects of pesticide exposure in the form of increased fitness and longevity. These cross-generational influences of toxicants were sex-dependent (they affected only male descendants), and intergenerational, but not transgenerational, plasticity was modulated by sexual selection history. Our results highlight the complexity of intragenerational, intergenerational, and transgenerational influences of past selection and environmental stress on phenotypic expression.</p>
Fig. 5 in The effect of environmental enrichment on Salvator merianae (Squamata: Teiidae) under captivity conditions
Fig. 5. Representation of the interactions between individuals in each enclosure, R1 and R2, with (R2 WE) and without enrichment (R2 W/O-E) based on the recorded chase and flight events.MWM: male without mark, MWP: male white point, MYP; male yellow point, F: female. Fig. 5. Representación de las interacciones entre individuos en cada recinto, R1 y R2, con (R2 WE) y sin enriquecimiento (R2 W/O-E) en base a los eventos de persecución y huida registrados. MWM: macho sin marca, MWP: macho punto blanco, MYP; punto amarillo macho, F: hembra.
Fig. 7 in Preliminary larvicidal effect of seed oil from Cleome arabica L. on fifth instar larvae of Schistocerca gregaria (Orthoptera: Acrididae)
Fig. 7. Variation of the weight compared to the initial weight of L5 larvae of control S. gregaria and treated with C. arabica seed oil.
Fig. 2 in Preliminary larvicidal effect of seed oil from Cleome arabica L. on fifth instar larvae of Schistocerca gregaria (Orthoptera: Acrididae)
Fig. 2. Variation over time of mortality rate observed in control L5 larvae treated with C. arabica seed oil.
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.