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698 results for “Soybean”
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 3 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 3. Monthly temperature and precipitation in Aurora, NY, USA, in 2021 and 2022. Pink lines indicate 30-yr average.
Figure 1 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 1. Schematic representation of the experimental setup depicting the distance of Amoronthus polmeri (AMAPA) from the crop (i.e., 0, 24, and 48 cm from the soybean row) and the sequence of A. polmeri establishment time (i.e., 0, 1, 2, 4, 6, and 8 wk after soybean emergence [WAE] or AMAPA-0, AMAPA-1, AMAPA-2, AMAPA-4, AMAPA-6, and AMAPA-8, respectively). Each treatment combination (i.e., establishment time × distance from the crop) was applied only to one randomly selected experimental plot per replication.
Fig. 2 in Anticarsia gemmatalis nucleopolyhedrovirus from soybean crops in Tamaulipas, Mexico: diversity and insecticidal characteristics of individual variants and their co-occluded mixtures
Fig. 2. Mortality of second instar Anticarsia gemmatalis following inoculation with 2 × 105 occlusion bodies per mL of (A) genotypic variants compared with a mixture of 30 field isolates (30wt) and reference Brazilian variant AgMNPV-2D (Ag-2D), and (B) co-occluded mixtures of variants (M1–M4).
Fig. 4 in Anticarsia gemmatalis nucleopolyhedrovirus from soybean crops in Tamaulipas, Mexico: diversity and insecticidal characteristics of individual variants and their co-occluded mixtures
Fig. 4. Weibull estimates of mean time to death of fourth instar Anticarsia gemmatalis infected by (A) the individual genotypic variants compared with a mixture of 30 field isolates (30wt) and reference Brazilian variant AgMNPV-2D (Ag-2D) (shape parameter a = 6.776), and (B) co-occluded mixtures of variants (M1–M4) (shape parameter a = 7.509).
Fig. 1 in Anticarsia gemmatalis nucleopolyhedrovirus from soybean crops in Tamaulipas, Mexico: diversity and insecticidal characteristics of individual variants and their co-occluded mixtures
Fig. 1. (A) HindIII restriction endonuclease profiles of 5 individual genotypic variants (G1–G5) compared with a mixture of 30 field isolates (30wt) obtained from pooled field-collected larvae and the reference Brazilian variant AgMNPV-2D (Ag-2D). Arrows indicate the position of marker fragments for each of the variants. (B) Prevalence of plaque purified variants in pooled sample of 30 Anticarsia gemmatalis larvae that died from polyhedrosis during laboratory rearing (n indicates total number of plaques of each genotypic variant out of a total of 52 plaques).
Figure 1 in Soybean Cyst Nematode Population Development and Its Effect on Pennycress in a Greenhouse Study
Figure 1: Influence of inoculation level and crop treatment on final SCN egg population density in the greenhouse evaluation experiment. Soybean-S was soybean genotype 'Sturdy'; PC-MN103 was pennycress genotype 'MN103'; PC-MN106 was pennycress genotype 'MN106'; and PC-MN108 was pennycress genotype 'MN108'. The genotypes were sourced from the University of Minnesota pennycress and soybean breeding programs. Error bars denote standard error. Within an inoculation level, bars with the same lowercase letter did not differ in SCN population density using Tukey–Kramer least-square means (P <0.05). SCN, soybean cyst nematode.
Figure 3 in Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis
Figure 3. The overall effect of narrow row spacing (<76 cm) on weed density, weed biomass,weed control,weed seed production,and crop yield.The vertical black dashed line indicates zero effect. The black dots represent mean effect sizes (log of response ratios [lnðRRÞ]), and the black lines represent their respective 95% confidence intervals (CIs). The numbers in parentheses indicate the number of observations followed by the number of studies for each effect size. The effect sizes were considered significantly different when their 95% CIs did not overlap or contain zero.
Figure 6 in Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis
Figure 6. The effect of narrow row spacing (<76 cm) on crop yield as explained by subgroups of the crop, tillage, weed type, weed management method, herbicide application frequency, and time. The vertical black dashed line indicates zero effect. The black dots represent mean effect sizes (log of response ratios [lnðRRÞ]) for each subgroup, and the black lines represent their respective 99% confidence intervals (CIs). The numbers in parentheses indicate the number of observations followed by the number of studies for each effect size. The effect sizes were considered significantly different when their 99% CIs did not overlap or contain zero.
Figure 2. A in Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis
Figure 2. A map of the states in the midwestern and eastern United States showing experimental sites for the 35 corn and soybean narrow row spacing studies included in the meta-analysis.
Figure 5 in Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis
Figure 5. The individual effect sizes (natural log of response ratios [lnðRRÞ]) of (A) weed density, (B) weed biomass,(C) weed control, (D) weed seed production, and (E) crop yield as a function of crop row spacing. The green and red dots represent individual effect sizes for corn and soybean, respectively. The horizontal black dashed line represents zero effect,while the vertical black line represents 76-cm row spacing (control).The black bold line shows the relationship between individual effect sizes and crop row spacing,which is given as R (Pearson's correlation) with a P-value. The gray-shaded area represents 95% confidence intervals (CIs) of the linear relationship.
Figure 8 in Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis
Figure 8. Sensitivity analysis showing the variation in overall effect sizes (log of response ratios [ln(RR)]) (mean ± 95% confidence intervals [CIs]) of narrow row spacing effects on (A) weed density, (B) weed biomass, (C) weed control, (D) weed seed production, and (E) crop yield when any specific study was excluded from the analysis. The vertical red solid and dashed lines represent the mean ± 95% CIs, respectively, of overall effect sizes with all the studies included in the analysis.
Figure 1 in Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis
Figure 1. PRISMA (Preferred Reporting Items for Systematic Reviews and MetaAnalyses; Page et al. 2021) flow diagram showing the stepwise procedure used for selecting 35 studies for meta-analysis.
Figure 4 in Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis
Figure 4. The effect of narrow row spacing (<76 cm) on (A) weed density, (B) weed biomass, (C) weed control, and (D) weed seed production as explained by the subgroups of crop,tillage,weed type,weed management method, herbicide application frequency, and time. The vertical black dashed line indicates zero effect.The black dots represent mean effect sizes (log of response ratios [lnðRRÞ]) for each subgroup, and the black lines represent their respective 99% confidence intervals (CIs). The numbers in parentheses indicate the number of observations followed by the number of studies for each effect size. The effect sizes were considered significantly different when their 99% CIs did not overlap or contain zero.
Figure 7 in Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis
Figure 7. Density plots show the distribution of individual effect sizes (log of response ratios [ln(RR)]) of weed density,biomass,control, weed seed production, and crop yield.
Figure 2 in Seed-shattering phenology at soybean harvest of economically important weeds in multiple regions of the United States. Part 2: Grass species
Figure 2. Cumulative percent shatter over four time periods (maturity, maturity + 2 wk, maturity + 3 wk, maturity + 4 wk) for each species. The darker the bar, the greater percent of sampled site-years that corresponded to the percent shatter value. This normalizes across species with different sampling efforts. Species sampled in just a single site-year are indicated by a single black square, which represents 100% of the sampling effort. Species are denoted by their EPPO codes
Figure 3 in Seed-shattering phenology at soybean harvest of economically important weeds in multiple regions of the United States. Part 2: Grass species
Figure 3. Cumulative percent seed shatter for all species from planting date to soybean physiological maturity (black vertical line) across the participating states in 2016 and 2017.
Figure 1. Heat map indicating the cumulative percent seed shatter across the participating states for a in Seed-shattering phenology at soybean harvest of economically important weeds in multiple regions of the United States. Part 2: Grass species
Figure 1. Heat map indicating the cumulative percent seed shatter across the participating states for a window starting from soybean physiological maturity to 4 wk past physiological maturity in 2016 and 2017. States were included in these maps only if they conducted sampling during the week indicated. (e.g., In 2017, Arkansas sampled on October 2, October 18, and November 3, none of which are within ±3 d of the October 10 maturity date or maturity +2 wk on October 24 in the state that year. Hence only data from maturity +3 wk are for Arkansas for 2017.)
Fig. 3 in Anticarsia gemmatalis nucleopolyhedrovirus from soybean crops in Tamaulipas, Mexico: diversity and insecticidal characteristics of individual variants and their co-occluded mixtures
Fig. 3. Logarithm of mean occlusion body (OB) production in fourth instar Anticarsia gemmatalis infected by (A) the genotypic variants compared with a mixture of 30 field isolates (30wt) and reference Brazilian variant AgMNPV-2D (Ag-2D), and (B) co-occluded mixtures of variants (M1–M4).
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