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251 results for “Herbicides”
Figure 3 in Interference and management of herbicide-resistant crop volunteers
Figure 3. Volunteer corn in a cornfield in Nebraska. Highly productive soils and easy access to irrigation have encouraged growers to adopt a corn-on-corn cropping system in south-central Nebraska that results in corn volunteers.
Figure 1 in Sensitivity to salinity at the emergence and seedling stages of barnyardgrass (EchinochloQ crus-gQlli), weedy rice (OryzQ sQtivQ), and rice with different tolerances to ALS-inhibiting herbicides
Figure 1. Dose–response emergence curve with the average data points of the different Echinochloa crus-galli populations against the salt concentration. Curve parameter estimates (Equation 1): s1 (b = 1.94, d = 55.85, e = 287.76), s2 (b = 1.52, d = 89.91, e = 222.71), s3 (b = 1.13, d = 89.91, e = 282.58), r1(b = 3.96, d = 67.67, e = 196.55), r2 (b = 6.85, d = 94.64, e = 123.58). The salt concentration required to reduce emergence by 50% (EC50) is shown below the graph. Only the significant pairwise comparisons between EC50 (SI index) are shown (Equation 2).
Figure 1 in Weed Seedbank Management: Revisiting How Herbicides Are Evaluated
Figure 1. Scatter plot of principal component analysis indicating the (dis) associations between visual rating, weed seed production, weed biomass and density as a result of meta-analysis of selected research articles in Weed Science and Weed Technology.
Figure 2 in Sensitivity to salinity at the emergence and seedling stages of barnyardgrass (EchinochloQ crus-gQlli), weedy rice (OryzQ sQtivQ), and rice with different tolerances to ALS-inhibiting herbicides
Figure 2. Dose–response emergence curve with the average data points of the different Oryza sativa (weedy rice) populations and rice varieties against the salt concentration. Curve parameter estimates (Equation 1): wr1 (b = 9.40, d = 87.14, e = 195.80), wr2 (b = 9.40, d = 87.14, e = 160.19), wr3 (b = 8.49, d = 89.73, e = 173.01), Baldo (b = 4.81, d = 87.12, e = 146.49), CL80 (b = 3.08, d = 60.89, e = 140.04). The salt concentration required to reduce the emergence by 50% (EC50) and the significant pairwise comparisons between EC50 (SI index) are shown below the graph (Equation 2).
Figure 5 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 5. Non-metric multidimensional ordering (NMDS) of tree species treated with herbicides and control was performed for all analyzed variables of the tree species.
Figure 1 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 1. Percentage of total dry mass in relation to the control treatment of seedlings of forest trees species subjected to the herbicides atrazine and sulfentrazone via sub-irrigation. Averages followed by the same lowercase letter do not differ by Tukey's test at 5% significance for the herbicidal factor. Means followed by the same capital letter do not differ according to the Scott-Knott grouping criterion at 5% significance for the species. CV (Coefficient of variation) = 18.3%.
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).
Figure 3 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 3. Spore count percentage in relation to the control treatment of seedlings of forest trees species subjected to the herbicides atrazine and sulfentrazone via sub-irrigation. Averages followed by the same lowercase letter do not differ by Tukey's test at 5% significance for the herbicidal factor. Means followed by the same capital letter do not differ according to the Scott-Knott grouping criterion at 5% significance for the species. CV (Coefficient of variation) = 10.96%.
Figure 4 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 4. Percentage of basal soil respiration in relation to the control treatment of seedlings of forest tree species subjected to the herbicides atrazine and sulfentrazone via sub-irrigation. Averages followed by the same lowercase letter do not differ by Tukey's test at 5% significance for the herbicidal factor. Means followed by the same capital letter do not differ according to the Scott-Knott grouping criterion at 5% significance for the species. CV (Coefficient of variation) = 11.63%.
Figure 2 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 2. Percentage of rhizospheric colonization by mycorrhizae in relation to the control treatment of seedlings of forest trees species subjected to the herbicides atrazine and sulfentrazone via sub-irrigation. Averages followed by the same lowercase letter do not differ by Tukey's test at 5% significance for the herbicidal factor. Means followed by the same capital letter do not differ according to the Scott-Knott grouping criterion at 5% significance for the species. CV (Coefficient of variation) = 8.93%.
Figure 1 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 1. Effect of paraquat dose on (A) seedling survival, (B) spike number (percent of nontreated control), and (C) aboveground biomass (percent of nontreated control) of the two Australian populations (Gatton and Ingham) of Eleusine indica. Error bars represent the standard error of the mean.
Figure 5 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 5. Effect of osmotic potential on the germination of the two Australian populations (Gatton and Ingham) of Eleusine indica incubated under alternating light/ dark for 28 d at 30/20 C.The lines represent a three-parameter sigmoid model fit to the germination data in response to concentrations of osmotic potentials.
Figure 3 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 3. Effect of light/dark regimes on the germination of the two Australian populations (Gatton and Ingham) populations of Eleusine indica. Seeds were incubated for 28 d at alternating day/night temperatures of 30/20 C. Error bars represent the LSD at the 5% level of significance.
Figure 4 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 4. Effect of sodium chloride concentration on the germination of the two Australian populations (Gatton and Ingham) of Eleusine indica incubated under alternating light/dark for 28 d at 30/20 C.The lines represent a three-parameter logistic model fit to the germination data in response to sodium chloride concentrations.
Figure 2 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 2. Effect of alternating day/night temperatures (15/5 to 35/25 C) on the germination of the two Australian populations (Gatton and Ingham) of Eleusine indica. Error bars represent the LSD at the 5% level of significance.
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.
Figure 6 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 6. Effect of burial depth on the seedling emergence of the two Australian populations (Gatton and Ingham) of Eleusine indica. The lines represent a gaussian model fit to the emergence data obtained at different seed burial depths.
Fig. 5 in Potential herbicidal effect of synthetic chalcones on the initial growth of sesame, Sesamum indicum L., and brachiaria, Urochloa decumbens (Stapf) R. D. Webster
Fig. 5. Percentage of growth inhibition/stimulus of shoot parts of brachiaria seedlings [Urochloa decumbens (Stapf) R.D. Webster] grown for five days in water solutions containing the chalcones, or analogues, or Glyphosate®, in comparison to the positive control (distilled water). The chalcones are identified in the figure 2. *Indicates a significant difference in relation to the control, p<0.05.
Fig. 4 in Potential herbicidal effect of synthetic chalcones on the initial growth of sesame, Sesamum indicum L., and brachiaria, Urochloa decumbens (Stapf) R. D. Webster
Fig. 4. Percentage of growth inhibition/stimulus of root parts of sesame seedlings (Sesamum indicum L.) grown for five days in water solutions containing the chalcones, or analogues, or Glyphosate®, in comparison to the positive control (distilled water). The chalcones are identified in figure 2. *Indicates a significant difference in relation to the control, p<0.05.
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