mortality | Ag Data Commons

Data from: The dispersal capacity of the invasive P. truncatus and the cosmopolitan S. zeamais after brief exposure to a novel insecticide formulation

Two insecticides were used in this study: an existing formulation (tradename: Diacon IGR+ R ; Central Life Sciences, Schaumberg, IL, USA), and a new formulation with synergist (tradename: Gravista), to study grain borer and maize weevil dispersal and mortality.

Data from: Toxicity of herbicides used for control of waterhyacinth in the California Delta towards the planthopper Megamelus scutellaris released for biological control

A study of the toxicity of five herbicides and two surfactants often applied with herbicides to the planthopper Megamelus scutellaris, a biological control agent of waterhyacinth, an invasive aquatic weed.

Data from: Tomato Chemical Defenses Intensify Corn Earworm (Helicoverpa zea) Mortality from Opportunistic Bacterial Pathogens

Mortality data of corn earworm (*Helicoverpa zea*) in response to tomato plants expressing variable levels of anti-herbivore defenses and the opportunistic pathogen *Serratia marcescens*. Data include plant chemical responses, insect mortality, and colony counts of bacteria in the hemolymph of the insect.

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Data from: Efficacy of deltamethrin and pirimiphos-methyl in layer-treated maize against the larger grain borer and the maize weevil

Two grain surface treatment insecticides (deltamethrin and pirimiphos-methyl were evaluated in laboratory assays as a surface treatment for maize to control adult Prostephanus truncatus and Sitophilus zeamais. Both insecticides were applied to 20 g of maize placed in a vial or to the upper one half, one fourth, or one-eighth layer of the maize. Insects were either added to the vials before or after the maize. Mortality, progeny production, and insect damaged kernels (IDK) were then evaluated for each vial.

Ring Nematode Induction of and Sensitivity to Grapevine Phenolic Compounds

This dataset includes data collected from two experiments that examined the potential induction of phenolic compounds in the roots of grapevines fed upon by ring nematodes.

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Data from: Genome analyses of fungal pathogens Neonectria faginata and Neonectria coccinea

Protein predictions using Augustus web for the fungi Neonectria coccinea and N. faginata, as well as protein prediction of closely related species N. ditissima, and Corinectria fuckeliana.

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Data from: Solenopsis invicta virus 3 infection alters worker foraging behavior in its host, Solenopsis invicta

Data collected to compare the foraging/food consumption and impacts of Solenopsis invicta virus 3 on fire ant colonies. Ant colonies infected with Solenopsis invicta virus 3 were compared with uninfected (control) colonies. Four data sets include foraging/food consumption, brood changes, queen fecundity, and virus quantity.

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Mortality data of navel orangeworm, Amyelois transitella, in response to nitric oxide fumigation treatment

Mortality data of navel orangeworm, Amyelois transitella, in response to nitric oxide fumigation treatments, are presented.

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RZWQM2

Root Zone Water Quality Model 2 (RZWQM2) is a whole-system model for studying crop production and environmental quality under current and changing climate conditions. It emphasizes the effects of agricultural management practices on physical, chemical and biological processes. RZWQM2 is a one-dimensional model with a pseudo 2-dimensional drainage flow. Crop simulation options include the generic plant growth model, DSSAT-CSM 4.0 and HERMES SUCROS models. It also can simulate surface energy balance with components from the SHAW model and water erosion from the GLEAMS model. An automated parameter estimation algorithm (PEST) was added to RZWQM2 for objective model calibration and uncertainty analysis.

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WISDEM

WISDEM simulates the variation in multi-species weed populations over time in response to crop rotation, tillage system, and specific weed management tactics and the consequent crop yield loss due to weed competition. Population dynamics of individual weed species are predicted from a limited number of parameters that can be derived from literature sources and expert opinion.

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