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opencc-by-4.0Nov 2019View details →

Fig. 1 in Glyphosate commercial formulation effects on preoptic area and hypothalamus of Cardinal Neon Paracheirodon axelrodi (Characiformes: Characidae)

Fig. 1. Cross-section of preoptic area (AP) and posterior diencephalic region (PDR) of Paracheirodon axelrodi showing its different neuronal nuclei. a. Panoramic view of AP showing different neuronal nuclei. b. Panoramic view of PDR, including HT neuronal nuclei. Technique: high resolution optical microscopy (HROM) Bar 100 μm.

opencc-by-4.0Jan 2023View details →

Figure 1 in Amazonian soil fungi are efficient degraders of glyphosate herbicide; novel isolates of Penicillium, Aspergillus, and Trichoderma

Figure 1. Mass spectrum resulting from the HPLC-MS of the isolated Penicillium 4A21 filtered. The filtrate presents possible peaks of glyphosate (170.07), AMPA (112.13) and sarcosine (89).

opencc-by-4.0May 2020View details →

Figure 2 in Variation in glyphosate effects and accumulation in emergent macrophytes

Figure 2. Concentration-response relationships for Phragmites australis (top graph), Typha latifolia (middle graph) and Typha × glauca (bottom graph) based on the proportion of dead shoots observed 27 days post-exposure to 0–8% glyphosate (Roundup WeatherMAX® formulation). Each treatment was replicated seven times per taxa, except T. latifolia at 5% (n = 6). Measured concentrations were used for modelling (Table S2). Grey points represent the replicates and are darker when points overlap; grey shading illustrates the 95% confidence bounds of the concentration-response model; solid red dots represent LC50 estimates; LC50 estimates on top left corner of each graph are given with lower and upper 95% confidence limits.

opencc-by-4.0May 2020View details →

Figure 3 in Variation in glyphosate effects and accumulation in emergent macrophytes

Figure 3. Average residues of glyphosate (left) and aminomethylphosphonic acid (AMPA; right) detected in above-ground plant tissues of the three macrophytes Phragmites australis (PA), Typha latifolia (TL) and Typha × glauca (TXG) 27 days post-exposure to 8% and 5% glyphosate solutions (Roundup WeatherMAX® formulation). Four replicates per taxon and treatment, except for TL at 5% (n = 3); error bars represent standard errors of the means; letters a-b (left plot) and c-d (right plot) indicate significant differences in residues among taxa. Note y-axes have different scales.

opencc-by-4.0May 2020View details →

Figure 1 in Variation in glyphosate effects and accumulation in emergent macrophytes

Figure 1. Representative replicates of the control treatment (tap water) and glyphosate (Roundup WeatherMAX® formulation) concentrations of 8% (43.2 g L-1) and 5% (27.0 g L-1) on day 4, 11 and 27 post-exposure. Each replicate (blue bucket) contained one pot of Typha latifolia (in the back), one pot of Typha × glauca (in the front), and one pot of Phragmites australis (on the left), and was sprayed with 50 mL of the respective treatment solution evenly covering aboveground plant tissues. Photos by Verena Sesin.

Figure 5 in The First Cases of Evolving Glyphosate Resistance in UK Poverty Brome (Bromus sterilis) Populations

Figure 5. Calculated glyphosate GR50 values from log-logistic dose–response model of 11 field-collected B. sterilis populations from the United Kingdom. Error bars are standard error of GR50 parameter estimates.

Figure 2 in The First Cases of Evolving Glyphosate Resistance in UK Poverty Brome (Bromus sterilis) Populations

Figure 2. Percentage reduction in foliage dry weight relative to untreated controls for 35 UK B. sterilis populations treated with 270 g glyphosate ha − 1. Shaded bars represent sensitive (dark gray) and suspected resistant (gray) populations based upon the initial glyphosate screen. Error bars are standard error of the mean.

Figure 1 in The First Cases of Evolving Glyphosate Resistance in UK Poverty Brome (Bromus sterilis) Populations

Figure 1. Mean foliage fresh weight per plant (g) for suspected glyphosate-resistant (OXON-R and SEL-R) and glyphosate-sensitive (ADAS and SEL-S) populations of B. sterilis following glyphosate treatment: untreated control (gray), 360 g ha − 1 (white), and 540 g ha − 1 (dark gray). Error bars are standard error of the mean.

Figure 4 in The First Cases of Evolving Glyphosate Resistance in UK Poverty Brome (Bromus sterilis) Populations

Figure 4. Glyphosate dose–response curves for survival of three suspected glyphosate-resistant B. sterilis populations (SEL-R, OXON-R, and 09D118) and three glyphosatesensitive populations (SEL-S, OXON-S, and ADAS). Symbols represent mean observed survival data, and lines are fitted regression models. (A) SEL-R (continuous line) and SEL-S (dashed line); (B) OXON-R (continuous line) and OXON-S (dashed line); and (C) 09D118 (continuous line) and ADAS (dashed line).

Figure 8 in Environmental cues affecting horseweed (ConyzO cOnOdensis) growth types and their sensitivity to glyphosate

Figure 8. Biomass of upright and rosette Conyza canadensis plants of the MSU-18 population in response to applications of glyphosate.

Figure 6 in Environmental cues affecting horseweed (ConyzO cOnOdensis) growth types and their sensitivity to glyphosate

Figure 6. Biomass of upright and rosette Conyza canadensis plants of a susceptible population (S-117) in response to applications of glyphosate.

Figure 5 in Environmental cues affecting horseweed (ConyzO cOnOdensis) growth types and their sensitivity to glyphosate

Figure 5. Biomass of rosette Conyza canadensis plants of a susceptible population (S-117) and two resistant populations (ISB-18 and MSU-18) in response to applications of glyphosate.

Figure 4 in Environmental cues affecting horseweed (ConyzO cOnOdensis) growth types and their sensitivity to glyphosate

Figure 4. Biomass of upright Conyza canadensis plants of a susceptible population (S-117) and two resistant populations (ISB-18 and MSU-18) in response to applications of glyphosate.

Figure 3 in Environmental cues affecting horseweed (ConyzO cOnOdensis) growth types and their sensitivity to glyphosate

Figure 3. Upright-type Conyza canadensis seedling identified in the growth type experiment as growing upright, light green in color.

Figure 2 in Environmental cues affecting horseweed (ConyzO cOnOdensis) growth types and their sensitivity to glyphosate

Figure 2. Rosette-type Conyza canadensis seedling identified in the growth type experiment as forming a rosette, dark green in color.

Figure 1 in Environmental cues affecting horseweed (ConyzO cOnOdensis) growth types and their sensitivity to glyphosate

Figure 1. Upright- (left) and rosette- (right) type Conyza canadensis plants emerging simultaneously in a field in midsummer.

opencc-by-4.0Mar 2015View details →

Fig. 2 in Glyphosate-based herbicide affects biochemical parameters in Rhamdia quelen Quoy & Gaimard, 1824 and) Leporinus obtusidens (Valenciennes, 1837)

Fig. 2. Protein carbonyl levels in the liver of Rhamdia quelen and Leporinus obtusidens that were exposed to glyphosate for 96 h. Data represent the mean ± SD (n = 6, in duplicate). *Indicates difference significant compared to control group (P≤ 0.05).

opencc-by-4.0Mar 2015View details →

Fig. 1 in Glyphosate-based herbicide affects biochemical parameters in Rhamdia quelen Quoy & Gaimard, 1824 and) Leporinus obtusidens (Valenciennes, 1837)

Fig. 1. NTPDase and ecto-5'-nucleotidase activities in the brain of Rhamdia quelen (A) and Leporinus obtusidens (B) that were exposed to glyphosate for 96 h. Data represent the mean ± SD (n = 6, in duplicate). *Indicates difference significant compared to the control group (P≤ 0.05).

opencc-by-4.0Jan 2018View details →

Fig. 1 in Histochemical alterations in liver of Common Carp Cyprinus carpio (Linnaeus, 1785) after glyphosate exposure: Preliminary study

Fig. 1. Sudan III staining intensity in liver of Common Carp after 96 h exposure to glyphosate: А – control, x200; Б – 20 mg/L glyphosate, x400; В – 40 mg/L glyphosate, x400; Г – 72 mg/L glyphosate, x400.