Computer Model for Simulating Population Dynamics of the Predator<i>Lyctocoris campestris</i>(Heteroptera: Anthocoridae) in Stored Shelled Corn

Throne, James E.; Parajulee, Megha N.; Phillips, Thomas W.

doi:10.1603/0046-225x-29.6.1236

Cited by 11 publications

(8 citation statements)

References 14 publications

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“…Linear models have been used to model development of insects released to control plant (Godfrey and Anderson 1994, Fornasari 1995, Mazzei et al 1999) and insect pests (Lysyk 1998), and other studies have started to implement nonlinear models as well (Flinn and Hagstrum 1995, Parajulee et a1. 1995, Loni 1997, Throne et al 2000, Roy et al 2002. The latter studies, however, have focused on biological control agents used to control insect pests of economically important crops or stored products.…”

Section: Table 3 Parameter Estimates (A and B) And Coefficients Of Dmentioning

confidence: 99%

“…Such population models, however, have typically been used to simulate parasitoidÐhost interactions in crop (Barlow and Goldson 1993, van Roermund et al 1997, Rochat and Gutierrez 2001 or stored grain systems (Flinn and Hagstrum 1995, Legaspi et al 1998, Throne et al 2000 of economic importance to understand parasitoidÐ host dynamics and improve release strategies of parasitoids. Population models to simulate predatorÐprey interactions also have been constructed to control insect pests in crop systems to explore and/or improve integrated pest management (IPM) programs (Gutierrez et al 1981, OÕNeil et al 1995, Cividanes and Gutierrez 1996 and to simulate insect pathogensÐ host dynamics (Feng et al 1988, Carruthers et al 1992, Larkin et al 1993.…”

Section: Table 3 Parameter Estimates (A and B) And Coefficients Of Dmentioning

confidence: 99%

“…Phenological models have been constructed to predict stage speciÞc emergence times or outbreaks (Johnsen et al 1990, Bentz et al 1991, fecundity, and mortality rates (Rochat and Gutierrez 2001). In the Þeld of biological control, population models have also been used to estimate population growth, reproduction, and mortality of both insect (Gutierrez et al 1981, Throne et al 2000 and pathogen (Carruthers et al 1992, Larkin et al 1993) biological control agents.…”

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confidence: 99%

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Estimating Temperature-Dependent Developmental Rates ofDiorhabda elongata(Coleoptera: Chrysomelidae), a Biological Control Agent of Saltcedar (Tamarixspp.)

et al. 2005

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Section: Table 3 Parameter Estimates (A and B) And Coefficients Of Dmentioning

confidence: 99%

Section: Table 3 Parameter Estimates (A and B) And Coefficients Of Dmentioning

confidence: 99%

mentioning

confidence: 99%

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Estimating Temperature-Dependent Developmental Rates ofDiorhabda elongata(Coleoptera: Chrysomelidae), a Biological Control Agent of Saltcedar (Tamarixspp.)

et al. 2005

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“…Computer simulation models have been used extensively by ARS scientists to predict the phenology and impact of invasive species in new localities and to manage them in areas where detailed biological information is required to make correct management decisions 56. Such models have also been used effectively in planning the use of biological controls,57 including the application of microbial pesticides, and even for use in managing invasive pests in stored products 58. More recently, ARS scientists have been working to link remote‐sensing information, predictive models and GIS (geographic information systems) to provide larger‐scale assessments of invasive species impact and spread.…”

Section: The Role Of the Ars In Invasive Species Managementmentioning

confidence: 99%

Invasive species research in the United States Department of Agriculture–Agricultural Research Service

Carruthers¹

2003

Pest Management Science

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ABSTRACr The effects of K-deficiency on carbon exchange rates (CER), photo-synthate partitioning export rate, and activities of key enzymes involved in sueme metabolism were studied in soybean (Glycias max I.] Merr.) leaves. The different parameters were monitored in mature leaves that had expanded prior to, or during, imposition of a complete K-deficiency (plants received K-free nutrition solution). In general, recently expanded leaves had the highest concentration of K, and imposition of K-stress at any stage of leafexpansion resulted in decreased K concentrations relative to control plants (10 millimolar K). A reduction in CER, relative to control plants, was only observed in leaves that expanded during the K-stress. Stomatal conductance also declined, but this was not the primary cause of the decrease in carbon fixation because internal CO2 concentration was unaffected by K-stress. Assimilate export rate from K-deficient leaves was reduced but relative export, calculated as a percentage of CER, was similar to control leaves. Over all the data, export rate was correlated positively with both CER and activity of sucrose phosphate synthase in leaf extracts. K-deficient leaves had higher concentrations of sucrose and hexose sugars. Accumulation ofhexose sugars was associated with incesed activities of acid invertase. Neutral invertase activity was low and unaffected by K-nutrition. It is concluded that decreased rates of assimilate export are a ed with decreased activities of sucrose phosphate synthase, a key enzyme involved in sucrose formation, and that accumulation of hexose sugars may occur because of increased hydrolysis of sucrose in K-deficient leaves. Availability of K is known to have a large impact on plant growth, in part at least, because of the effects of K-status on certain aspects of leaf cell metabolism (for review see Ref. 12). In particular, leaves of K-deficient plants generally have reduced rates of C-fixation and assimilate export. Decreased CERs2 are often associated with partial stomatal closure. Because ofthe role of K fluxes in stomatal aperture changes (24), it has often been assumed that the influence of K on photosynthesis could be attributed to stomatal closure (17, 21). However, more recent studies with sugarbeet (29), alfalfa (22), and cotton (15) have '

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“…Computer models have been developed for some of the major pests of stored corn,50–52 wheat53 and processed commodities,54 and for some of the natural enemies of these pests 55, 56. These models have been used to help optimize control technologies in these commodities and to develop an expert system to aid in management of insect pests in farm‐stored wheat 57.…”

Section: Overview Of Current Researchmentioning

confidence: 99%

Post‐harvest entomology research in the United States Department of Agriculture–Agricultural Research Service

Throne

Hallman

Johnson

et al. 2003

Pest Management Science

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This is a review of current post-harvest entomology research conducted by the Agricultural Research Service, the research branch of the US Department of Agriculture. The review covers both durable and perishable commodities. Research on biochemistry, genetics, physiology, monitoring and control of insects infesting stored grain, dried fruits and nuts, and processed commodities is reviewed. Research on development of quarantine treatments, particularly for fruit flies, is also reviewed, including research on thermal and irradiation treatments and a discussion of risk management for quarantine pests. Two areas of research are covered more extensively: a project to map the genome of the red flour beetle, Tribolium castaneum, and the use of near-infrared spectroscopy for detection of hidden infestations in grain, quantification of insect fragments in food, determination of quality in dried fruits, identification of insect species and age-grading insects. Future research directions are identified.

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Computer Model for Simulating Population Dynamics of the PredatorLyctocoris campestris(Heteroptera: Anthocoridae) in Stored Shelled Corn

Cited by 11 publications

References 14 publications

Estimating Temperature-Dependent Developmental Rates ofDiorhabda elongata(Coleoptera: Chrysomelidae), a Biological Control Agent of Saltcedar (Tamarixspp.)

Estimating Temperature-Dependent Developmental Rates ofDiorhabda elongata(Coleoptera: Chrysomelidae), a Biological Control Agent of Saltcedar (Tamarixspp.)

Invasive species research in the United States Department of Agriculture–Agricultural Research Service

Post‐harvest entomology research in the United States Department of Agriculture–Agricultural Research Service

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