Spatio-temporal distribution of Ricania shantungensis (Hemiptera: Ricaniidae) in chestnut fields: Implications for site-specific management

Baek, Sunghoon; Lee, Joon-Ho

doi:10.1016/j.aspen.2021.01.006

Cited by 5 publications

(22 citation statements)

References 18 publications

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“…The average range value of the selected variograms in our study was 3.9 m (i.e., the cumulative mean of all three sites) for the larval S. venatus vestitus distributions and 5.4 m (the cumulative mean of all three sites) for the adult S. venatus vestitus distributions. Range values can be used either to create hotspot maps for site-specific management [57,58] or to obtain individual samples to understand the threshold values for insecticide treatments [46]. In the current study, if the range value was used for making S. venatus vestitus hotspot maps, the distance between two samples should be less than 3.9 m and 5.4 m for larvae and adults, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…However, developing distribution maps may not be feasible for sod growers because they require many sample points and substantial technical skills to process the raw data for map construction [20,59]. When the range values are used to obtain unbiased samples, the distances between two sampling points should be greater than the average range values for both larvae and adults [15,26,58]. S. venatus vestitus larvae are hidden in the soil, and thus, their infestations in soils can be determined if soil samples are collected using a hole cutter at 4.0 m (average range value = 3.9 m) distances to capture larvae.…”

Section: Discussionmentioning

confidence: 99%

“…A previous study combined variogram and SADIE to generate prescription maps for the bean leaf beetle, Cerotoma trifurcata Forster (Coleoptera: Chrysomelidae) [63]. Another study used semivariograms and SADIE to understand the spatiotemporal patterns of Ricania shantungensis (Hemiptera: Ricaniidae) in chestnut fields [58]. A previous study investigated and differentiated various statistical methods and found that no single method could completely identify all spatial characteristics of the dataset [49,60].…”

Section: Discussionmentioning

confidence: 99%

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Spatial Distribution of Hunting Billbugs (Coleoptera: Curculionidae) in Sod Farms

Gireesh

Rijal

Joseph

2021

Insects

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The hunting billbug, Sphenophorus venatus vestitus Chittenden (Coleoptera: Curculionidae), is an important turfgrass pest, especially in sod farms. S. venatus vestitus larvae feed on the stems and roots of turfgrass. Damaged turfgrass is loosely held together and poses a challenge for machine harvesting. Additionally, the normal growth of turfgrass is affected, especially after winter dormancy. Because S. venatus vestitus larvae are hidden inside the stems or under the soil, larval management is challenging. To improve sampling and management, the spatial distribution patterns of S. venatus vestitus larvae and adults were assessed at four sod farm sites with a history of S. venatus vestitus infestation in central Georgia (USA). The larvae were sampled by soil cores using a hole cutter, whereas adults were collected using pitfall traps for 7 d. The spatial distributions of larvae and adults was analyzed using SADIE and variograms. The SADIE and variogram analyses revealed a significant aggregation pattern for adults, whereas aggregated distributions were detected for larvae with variogram analyses. The average ranges of spatial dependence for larval and adult samples were 3.9 m and 5.4 m, respectively. Interpolated distribution maps were created to visually depict S. venatus vestitus infestation hotspots within the sod farms.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Spatial Distribution of Hunting Billbugs (Coleoptera: Curculionidae) in Sod Farms

Gireesh

Rijal

Joseph

2021

Insects

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“…Finally, it is difficult to manage R . shantungensis nymphs and adults because they actively move and feed on both arboreal and herbaceous plants [ 4 ].…”

Section: Discussionmentioning

confidence: 99%

“…According to the paper [1], its spread would continue to almost all areas of Korea. Until now, R. shantungensis has caused the most serious economic damage to apples and chestnuts, among all host plants in Korea [4]. However, there is a high possibility that persimmons become one of the most damaged crops in the near future.…”

Section: Introductionmentioning

confidence: 99%

Determination of an optimum sampling unit of Ricania shantungensis (Hemiptera: Ricaniidae) eggs in persimmons

Baek¹,

Seo

Park³

2022

PLoS ONE

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Even though the optimum sampling methods for invasive pests are very important in newly invaded areas, the standard sampling unit of Ricania shantungensis is still undeveloped in persimmons. Among all developmental stages of R. shantungensis, the egg has close relationship between its density and subsequent tree damage. Thus, this study was conducted to suggest an optimum sampling unit for R. shantungensis eggs in persimmons based on characteristics of its within-tree distribution pattern. The within-tree distribution pattern was characterized with 60 persimmon trees by cutting 12 branches at three vertical levels (low, middle, and high) in four horizontal criteria (east, west, south, and north) per tree. The sampling units were determined based on coefficient of variation (CV) and coefficient of determination (r2) calculated from egg mass numbers per 10 cm from the tip within a branch. In numbers of R. shantungensis egg masses, there was no significant difference (P > 0.05) horizontally, but significant (P < 0.05) difference vertically. More R. shantungensis eggs were found on terminal branches of each trunk. The 60 cm from the tip of branches in the terminal positions of each trunk was selected as the optimum sampling unit for R. shantungensis in persimmons because this unit has the lowest CV value and more than 0.9 of r2 value. Even though the optimum sample number per tree should be determined field-specifically, it would be acceptable to sample two or three branches by considering this pests’ recognizable damage level. This small sampling unit could make the sampling of R. shantungensis become more economical, precise, and consistent in persimmon fields.

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Reduction of pesticide application via real-time precision spraying

Zanin

Neves

Teodoro

et al. 2022

Sci Rep

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Farmers focus on reducing the cost of production and aim to increase profit. The objective of this study was to quantify the reduction of pesticides applied to soybean (Glycine max (L.) Merrill) and maize (Zea mays L.) crops in several stages of the production cycle using a site-specific spraying application based on real-time sensors in the Brazilian Cerrado region. The sprayers were equipped with a precision spraying control system based on a real-time sensor. The spraying operations were performed not only for herbicide, but also for fungicide and insecticides applications. The maps recorded the percentage of the spray boom when the application was turned on (on/off spray system) with nozzle-to-nozzle control. The precision spraying system based on real-time sensors reduced the volume of pesticides (including herbicides, insecticides, and fungicides) applied to soybean and maize crops. There was a more significant reduction in the volume of pesticides applied post-emergence of the crops in the initial stages of soybean and maize when the crops had less leaf area or less foliage coverage between the rows. The cost reduction achieved using this technology was 2.3 times lower than the cost associated with pesticide application over the entire area using a conventional sprayer. Under the experimental conditions, there were no differences in the average crop yield, compared to the historical productivity of soybean and maize crops by applying this technology because the recommended doses were not affected and the site of application was limited to points where the presence of plants was present was detected.

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Spatio-temporal distribution of Ricania shantungensis (Hemiptera: Ricaniidae) in chestnut fields: Implications for site-specific management

Cited by 5 publications

References 18 publications

Spatial Distribution of Hunting Billbugs (Coleoptera: Curculionidae) in Sod Farms

Spatial Distribution of Hunting Billbugs (Coleoptera: Curculionidae) in Sod Farms

Determination of an optimum sampling unit of Ricania shantungensis (Hemiptera: Ricaniidae) eggs in persimmons

Reduction of pesticide application via real-time precision spraying

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