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97 results for “pest management”
Video Series: Integrated Pest Management focusing on disease control in cereals
<p>Welcome to this video series on IPM, focusing on disease control in cereals. </p> <p>The challenge of IPM is to make the control methods we use appropriate to the circumstances, and to balance between the productivity of the crop and minimising the impact on the environment. The control decisions we make on one field or in one season may not be appropriate in another set of circumstances – there is no ‘blue print’. In these videos we delve into the physiology of the crop, the epidemiology of the diseases and how different control methods work. By understanding the biology of the systems we're trying to control, we're better equipped to make appropriate decisions. Going into depth means we can’t cover all aspects of IPM. In practice, decisions about disease control are being made alongside decisions about invertebrate pests and weeds, and in the wider context of integrated crop management. In the UK, information on those topics is available from organisations such as LEAF, AHDB and the Voluntary Initiative. Nevertheless, disease control is still a big topic, so we have broken it down into bite size chunks - although each video is still a pretty substantial bite and will need some digesting.</p> <p>The videos can be viewed in any order that interests you, but they'll make most logical sense viewed in the order in the menu.</p> <p>Links to the videos can be found in the summary document. </p> <p>PDF versions of the video presentations are provided. </p>
Figure 6 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE
Figure 6. Moth (A); coffee leaf damage (B and C); caterpillar at the beginning of pupal stage (D); and the characteristic X-shaped cocoon of coffee tree miner (E).
Figure 1 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE
Figure 1. Rosette with coffee berry borer attack symptom (A); and detail of the pest hole in the crown region of the fruit (B).
Figure 9 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE
Figure 9. Orthezia colony (Praelongorthezia praelonga) on coffee leaves (A); leaf covered with dark- colored fungus, commonly referred to as sooty mold (B); and coffee plant with high defoliation caused by the pest (C).
Figure 7 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE
Figure 7. Flower bud (A), branches (B) and rosette (C) of the coffee tree infested with citrus mealybug.
Figure 3 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE
Figure 3. Prorops nasuta - Uganda wasp (A); C. stephanoderis - Ivory Coast Wasp (B); and C. hyalinipennis (C).
Figure 12 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE
Figure 12. Young form and pupa of the honeydew moth caterpillar and damages the coffee tree rosette.
Figure 4 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE
Figure 4. Parasitism stages of the Ivory Coast Wasp, Cephalonomia stephanoderis from the coffee berry borer larva (top of the figure) and the coffee berry borer pupa (bottom). Source: Benassi (1996).
Fig. 2 in Crop diversification for sustainable insect pest management in eggplant (Solanales: Solanaceae)
Fig. 2. Total ion current (TIC) mode chromatographic plot of marigold leaf volatiles sampled using the thermal desorption (TD) technique.
Fig. 3 in Crop diversification for sustainable insect pest management in eggplant (Solanales: Solanaceae)
Fig. 3. Total ion current (TIC) mode chromatographic plot of mint leaf volatiles sampled using the thermal desorption (TD) technique.
Fig. 5 in Towards incorporating insect isotope analysis using cavity ring-down spectroscopy into area-wide insect pest management programs
Fig. 5. Cumulative standard deviation of the mean carbon isotope signature of individual moths, field-caught LBAM (circles), mass-reared pink bollworm (squares) and mass-reared LBAM (triangles), analysed using the CM-CRDS module.
Fig. 3 in Towards incorporating insect isotope analysis using cavity ring-down spectroscopy into area-wide insect pest management programs
Fig. 3. Carbon isotope signature of common cutworm leg samples from different moths reared on the artificial laboratory diet or caught in the wild (circles, n = 5, Bars +/- 3 SD). The spermatophore data point (triangle) is the carbon isotope signature of spermatophores dissected from laboratory-reared females mated with field-caught males (n = 5, Bars +/- 3 SD). All samples measured using CM-CRDS.
Fig. 1 in Towards incorporating insect isotope analysis using cavity ring-down spectroscopy into area-wide insect pest management programs
Fig. 1. Carbon isotope ratios of 16 different common dietary components measured using either elemental analysis isotope ratio mass spectrometry (EAIRMS) or combustion module cavity ring down spectrometry (CM-CDRS).
Fig. 2 in Towards incorporating insect isotope analysis using cavity ring-down spectroscopy into area-wide insect pest management programs
Fig. 2. Carbon isotope ratios of 3 populations of the common cutworm measured using either elemental analysis isotope ratio mass spectrometry (EA-IRMS) or combustion module cavity ring down spectrometry (CM-CDRS): Field-caught moths: squares; synthetic diet-reared moths: circles and laboratory-reared on castor diet moths: triangles.
Fig. 4 in Integrated pest management of the German cockroach (Blattodea: Blattellidae) in manufactured homes in rural North Carolina
Fig. 4. Distribution of German cockroaches from trap catches at various locations within homes of individual participants.
Fig. 2 in Integrated pest management of the German cockroach (Blattodea: Blattellidae) in manufactured homes in rural North Carolina
Fig. 2. Trend of monthly mean cockroach trap catches per participant over the sampling period (Oct 2011 to Mar 2014) during the Pre-IPM, IPM-education, and IPM-education plus bait intervention phases.
Fig. 3 in Integrated pest management of the German cockroach (Blattodea: Blattellidae) in manufactured homes in rural North Carolina
Fig. 3. Total population levels and decrease (%) of German cockroach populations from all participants during the Pre-IPM, IPM-education, and IPM-education plus bait intervention phases for 6 manufactured homes in rural North Carolina.
Fig. 1 in Integrated pest management of the German cockroach (Blattodea: Blattellidae) in manufactured homes in rural North Carolina
Fig. 1. Population fluctuations of German cockroaches from Oct 2011 to Mar 2014 in 6 manufactured homes in rural North Carolina during the Pre-IPM, IPMeducation, and IPM-education plus bait intervention phases.
Fig. 3 in Effect of BAM-FX in developing a management program to control major insect pests of tomato: sweetpotato whitefly (Hemiptera: Aleyrodidae), thrips (Thysanoptera: Thripidae), and their transmitted viruses
Fig. 3. Mean number of western flower thrips (Frankliniella occidentalis) per 5 leaf sample of tomato treated with various treatments of BAM‑FX and N‑P‑K granular fertilizer in 2016. Bars represent standard error of the means. T1 = BAM‑FX applied on soil, no pesticide, no N‑P‑K fertilizer; T2 = BAM‑FX applied on foliage, no pesticide, no N‑P‑K fertilizer; T3 = BAM‑FX applied on soil, pesticide, no N‑P‑K fertilizer; T4 = BAM‑FX applied on foliage, pesticide, no N‑P‑K fertilizer; T5 = BAM‑FX applied on foliage, pesticide, N‑P‑K fertilizer; T6 = no BAM‑FX, pesticide, N‑P‑K fertilizer; T7 = no BAM‑FX, no pesticide, N‑P‑K fertilizer; D1 = first sampling date (14 Dec); D2 = second sampling date (21 Dec); D3 = third sampling date (21 Dec); D4 = fourth sampling date (28 Dec); D5 = fifth sampling date (4 Jan); D6 = sixth sampling date (11 Jan).
Fig. 2 in Effect of BAM-FX in developing a management program to control major insect pests of tomato: sweetpotato whitefly (Hemiptera: Aleyrodidae), thrips (Thysanoptera: Thripidae), and their transmitted viruses
Fig. 2. Mean number of common blossom thrips (Frankliniella schultzei) per 5 leaf sample of tomato treated with various treatments of BAM‑FX and N‑P‑K granular fertilizer in 2016. Bars represent standard error of the means. T1 = BAM‑FX applied on soil, no pesticide, no N‑P‑K fertilizer; T2 = BAM‑FX applied on foliage, no pesticide, no N‑P‑K fertilizer; T3 = BAM‑FX applied on soil, pesticide, no N‑P‑K fertilizer; T4 = BAM‑FX applied on foliage, pesticide, no N‑P‑K fertilizer; T5 = BAM‑FX applied on foliage, pesticide, N‑P‑K fertilizer; T6 = no BAM‑FX, pesticide, N‑P‑K fertilizer; T7 = no BAM‑FX, no pesticide, N‑P‑K fertilizer; D1 = first sampling date (14 Dec); D2 = second sampling date (21 Dec); D3 = third sampling date (21 Dec); D4 = fourth sampling date (28 Dec); D5 = fifh sampling date (4 Jan); D6 = 6th sampling date (11 Jan).
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