Spatial distribution of Diaphorina citri Kuwayama (Hemiptera: Psyllidae) in citrus orchards

Costa, Marilia Gregolin; Barbosa, José Carlos; Yamamoto, Pedro Takao; Leal, Renata Moreira

doi:10.1590/s0103-90162010000500008

Cited by 44 publications

(41 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Values for the exponent of negative binomial distribution (k), estimated using the maximum likelihood method, ranged from 0 to 2, which indicates an aggregated pattern; values higher than eight indicate a random distribution (Costa et al, 2010). Immature forms of Nezara viridula (L.) and Piezodorus guildinii (Westw.)…”

Section: Resultsmentioning

confidence: 99%

“…It is based on the variance/mean ratio and is given by: The k exponent for negative binomial distribution (k): This index is an indicator of arthropod aggregation, and should only be used when the data fit the negative binomial distribution (Elliott, 1979). Negative values indicate a uniform distribution, low and positive values (0 < k < 2) indicate a highly aggregated distribution, values ranging from 2 to 8 indicate a moderate aggregation, and values greater than 8 indicate a random distribution (Costa et al, 2010). Firstly, k values were obtained by the moment's method, which is given by:…”

Section: Morisita's Index (Id)mentioning

confidence: 99%

See 1 more Smart Citation

Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean

Souza

Barbosa

Grigolli

et al. 2014

Sci. agric. (Piracicaba, Braz.)

Self Cite

View full text Add to dashboard Cite

Green's coefficient, the k exponent of the negative binomial distribution, and estimation of the common exponent k (kc). To study probabilistic models to describe the spatial distribution of the insects, adjustments of the Poisson and negative binomial distributions were tested. Two sequential sampling plans for separate fields, one for grain production and the other for seed production, were prepared. The data fitted a negative binomial distribution and a sampling plan was drawn up using the sequential likelihood ratio test (SLRT). The maximum sampling unit number expected for control-related decision making was six in grain production fields, and nine in seed production fields.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Morisita's Index (Id)mentioning

confidence: 99%

Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean

Souza

Barbosa

Grigolli

et al. 2014

Sci. agric. (Piracicaba, Braz.)

Self Cite

View full text Add to dashboard Cite

show abstract

“…This is an appropriate dispersion index when the size and number of sample units are the same in every sample, because often it is influenced by the size of the sample units (Elliott, 1979;Southwood, -2013 1978). Negative values indicate a uniform distribution; low and positive values (0 < k < 2) suggest a highly aggregate distribution; values between two and eight refer to a moderate aggregation; and values higher than eight are related with random distribution (Costa, Barbosa, Yamamoto, & Leal, 2010).…”

Section: The K Exponent Of the Negative Binomial Distribution (K)mentioning

confidence: 99%

Spatial distribution and sampling plan of the phytophagous stink bug complex in different soybean production systems

Fernandes

Costa

Cavada

et al. 2018

J Applied Entomology

View full text Add to dashboard Cite

Phytophagous stink bugs are major soybean pests, and knowledge of spatial distribution models of the pest in the crop is fundamental to establishing an appropriate sequential sampling plan, and thus, allowing the correct utilization of control strategies. This work aimed to study the spatial distribution of phytophagous stink bugs in soybean grown in different cropping systems and determine a sequential sampling plan. The experiment was conducted in Maracaju, MS, Brazil, during the agricultural year of 2012/2013. Soybean cultivars BRS 284 and SYN 1163 RR were placed in an experimental area comprising six fields (two soybean cultivars × three cropping systems). Sampling was performed weekly, using a beat cloth per plot and counting the number of stink bugs found, virtually throughout the soybean reproductive period. Concerning the statistical analyses, we used the dispersion indexes (variance‐to‐mean ratio, Morisita's index, exponent k of the negative binomial and Green's coefficient) and probabilistic methods of frequency adjustment (negative binomial and Poisson). Adult and nymph phytophagous stink bugs showed aggregate disposition in the field regardless of the cropping system, and their numbers were adjusted to the negative binomial probability distribution. There was no difference in the behaviour of adult and nymphs considering the tested cultivars. We elaborated a practical sequential sampling plan for phytophagous stink bug complexes, considering crops intended for the production of grains and seeds.

show abstract

“…Similar conclusions can be drawn in cases where some of the infected psyllids fail to transmit the pathogen to a healthy flush after feeding. Finally, it is assumed that the psyllids are randomly distributed among the flush, which is not true (30), and that the development of the psyllid and flush populations is synchronous, which is partially true due to the environmental forcing of flush production (8,9). However, this model gives realistic results and provides a first tool for comparison of management strategies.…”

Section: Discussionmentioning

confidence: 99%

Modeling huanglongbing transmission within a citrus tree

Chiyaka

Singer

Halbert

et al. 2012

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

The citrus disease huanglongbing (HLB), associated with an uncultured bacterial pathogen, is threatening the citrus industry worldwide. A mathematical model of the transmission of HLB between its psyllid vector and citrus host has been developed to characterize the dynamics of the vector and disease development, focusing on the spread of the pathogen from flush to flush (a newly developing cluster of very young leaves on the expanding terminal end of a shoot) within a tree. This approach differs from that of prior models for vector-transmitted plant diseases where the entire plant is the unit of analysis. Dynamics of vector and host populations are simulated realistically as the flush population approaches complete infection. Model analysis indicates that vector activity is essential for initial infection but is not necessary for continued infection because infection can occur from flush to flush through internal movement in the tree. Flush production, withintree spread, and latent period are the most important parameters influencing HLB development. The model shows that the effect of spraying of psyllids depends on time of initial spraying, frequency, and efficacy of the insecticides. Similarly, effects of removal of symptomatic flush depend on the frequency of removal and the time of initiation of this practice since the start of the epidemic. Within-tree resistance to spread, possibly affected by inherent or induced resistance, is a major factor affecting epidemic development, supporting the notion that alternate routes of transmission besides that by the vector can be important for epidemic development.greening | Candidatus Liberibacter asiaticus | Diaphorina citri

show abstract

Spatial distribution of Diaphorina citri Kuwayama (Hemiptera: Psyllidae) in citrus orchards

Cited by 44 publications

References 19 publications

Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean

Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean

Spatial distribution and sampling plan of the phytophagous stink bug complex in different soybean production systems

Modeling huanglongbing transmission within a citrus tree

Contact Info

Product

Resources

About