Population Patterns of Mexican Corn Rootworm (Coleoptera: Chrysomelidae) Adults Indicated by Different Sampling Methods

2004 ◽  
Vol 97 (2) ◽  
pp. 687-694 ◽  
Author(s):  
D. W. Spurgeon ◽  
J. F. Esquivel ◽  
C. P.-C. Suh
Keyword(s):  
Sampling Methods ◽  
Corn Rootworm ◽  
Population Patterns ◽  
Mexican Corn Rootworm

scholarly journals Response of Mexican Corn Rootworm to Insecticides, 1991

1995 ◽  
Vol 20 (1) ◽  
pp. 329-329
Author(s):  
E. Guerrero-Rodriguez ◽  
S. Davalos-Luna ◽  
J. Corrales-Reynaga
Keyword(s):  
Petri Dish ◽  
Mortality Data ◽  
Corn Rootworm ◽  
Field Corn ◽  
Paper Towel ◽  
Percent Mortality ◽  
Petri Dishes ◽  
Mexican Corn Rootworm ◽  
Corn Plants ◽  
Commercial Field

Abstract Populations of MCR of commercial field corn from Arenal, Jalisco were exposed to nine insecticides of organophosphorous (OP), cabamate, organo chlorinated and pyrethroid groups. Larvae were collected from the roots of corn plants daily, and confined in polyethylene black bags of two kg capacity with humidity and germinated corn as food for larvae. Insects were taken to the laboratory of Sanidad Vegetal in Guadalajara, Jalisco. Dilutions of the insecticides tested were prepared using acetone from 500 to 5000 ppm (6 to 9 dosage/product). For this study 20 larvae of last instar were selected and 1 u, liter of the solution was placed topically on the thorax, after this, each larva was placed in a petri dish with a moistened paper towel and the petri dishes confined in a cardboard box to eliminate light. Mortality counts were carried out at 24 hours. Percent mortality was corrected by Abbott’s formula. The mortality data were analyzed by probit to obtain LC50 and LC,5 values for each insecticide.

scholarly journals EFFICACY OF SOIL INSECTICIDES ON WHITE GRUBS AND MEXICAN CORN ROOTWORM, 1998

1999 ◽  
Vol 24 (1) ◽  
Author(s):  
Roy D. Parker ◽  
Johnnie C. Cosper ◽  
Dan D. Fromme
Keyword(s):  
Corn Rootworm ◽  
White Grubs ◽  
Mexican Corn Rootworm ◽  
Soil Insecticides

Field Biology of Mexican Corn Rootworm, Diabrotica virgifera zeae (Coleoptera: Chrysomelidae), in Central Mexico

1982 ◽  
Vol 11 (5) ◽  
pp. 1078-1083 ◽  
Author(s):  
Terry F. Branson ◽  
Reyes R. Jaime ◽  
ValdéS M. Heriberto
Keyword(s):  
Central Mexico ◽  
Corn Rootworm ◽  
Diabrotica Virgifera ◽  
Field Biology ◽  
Mexican Corn Rootworm

Comparison of Adult Corn Rootworm (Coleoptera: Chrysomelidae) Sampling Methods

2002 ◽  
Vol 95 (1) ◽  
pp. 96-105 ◽  
Author(s):  
R. J. Whitworth ◽  
G. E. Wilde ◽  
R. A. Shufran ◽  
G. A. Milliken
Keyword(s):  
Sampling Methods ◽  
Corn Rootworm

scholarly journals Genetic variation in geographical populations of western and Mexican corn rootworm

1999 ◽  
Vol 8 (4) ◽  
pp. 519-525 ◽  
Author(s):  
A. L. Szalanski ◽  
R. L. Roehrdanz ◽  
D. B. Taylor ◽  
L. Chandler
Keyword(s):  
Genetic Variation ◽  
Corn Rootworm ◽  
Geographical Populations ◽  
Mexican Corn Rootworm

Going Beyond 3-D Imaging: Automated 3-D Montaged image Analysis of Cytological Specimens

1996 ◽  
Vol 54 ◽  
pp. 282-283
Author(s):  
Badrinath Roysam ◽  
Hakan Ancin ◽  
Douglas E. Becker ◽  
Robert W. Mackin ◽  
Matthew M. Chestnut ◽  
...  
Keyword(s):  
Image Analysis ◽  
Structural Changes ◽  
Sampling Methods ◽  
Spatial Clustering ◽  
Three Dimensional ◽  
Field Of View ◽  
Cell Counting ◽  
Depth Of Field ◽  
Tissue Cell ◽  
Tissue Organization

This paper summarizes recent advances made by this group in the automated three-dimensional (3-D) image analysis of cytological specimens that are much thicker than the depth of field, and much wider than the field of view of the microscope. The imaging of thick samples is motivated by the need to sample large volumes of tissue rapidly, make more accurate measurements than possible with 2-D sampling, and also to perform analysis in a manner that preserves the relative locations and 3-D structures of the cells. The motivation to study specimens much wider than the field of view arises when measurements and insights at the tissue, rather than the cell level are needed.The term “analysis” indicates a activities ranging from cell counting, neuron tracing, cell morphometry, measurement of tracers, through characterization of large populations of cells with regard to higher-level tissue organization by detecting patterns such as 3-D spatial clustering, the presence of subpopulations, and their relationships to each other. Of even more interest are changes in these parameters as a function of development, and as a reaction to external stimuli. There is a widespread need to measure structural changes in tissue caused by toxins, physiologic states, biochemicals, aging, development, and electrochemical or physical stimuli. These agents could affect the number of cells per unit volume of tissue, cell volume and shape, and cause structural changes in individual cells, inter-connections, or subtle changes in higher-level tissue architecture. It is important to process large intact volumes of tissue to achieve adequate sampling and sensitivity to subtle changes. It is desirable to perform such studies rapidly, with utmost automation, and at minimal cost. Automated 3-D image analysis methods offer unique advantages and opportunities, without making simplifying assumptions of tissue uniformity, unlike random sampling methods such as stereology.12 Although stereological methods are known to be statistically unbiased, they may not be statistically efficient. Another disadvantage of sampling methods is the lack of full visual confirmation - an attractive feature of image analysis based methods.

Population: Patterns, Dynamics, and Prospects

1985 ◽  
Vol 39 (2) ◽  
pp. 342-342
Author(s):  
Robert Woods
Keyword(s):  
Population Patterns
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