MULTIVARIATE ANALYSIS OF THE POPULATION STRUCTURE OF SITONA HISPIDULUS (COLEOPTERA: CURCULIONIDAE) IN ALFALFA FIELD SOIL

1986 ◽  
Vol 118 (6) ◽  
pp. 517-524 ◽  
Author(s):  
M.A. Quinn ◽  
A.A. Hower
Keyword(s):  
Population Structure ◽  
Canonical Correlation ◽  
Developmental Stages ◽  
Root Nodules ◽  
Field Soil ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Sitona Hispidulus ◽  
Small Root ◽  
Alfalfa Field

AbstractThe multivariate statistical techniques of canonical correlation and canonical redundancy analyses were used to assess the population structure of larvae of Sitona hispidulus (F.) in alfalfa field soil. A series of rhizosphere variables was correlated with a series of insect variables that represented the developmental stages of the insect to identify relationships between the insect and rhizosphere. Results indicated that 1st and 2nd-instar larvae were correlated with small root nodules and soil moisture, but not with taproot biomass. Third- and 4th-instar larvae and pupae were not correlated with any of the rhizosphere components measured. Fifth-instar larvae were associated with taproot biomass.

Assessing exercises recommended for women at risk of pelvic floor disorders using multivariate statistical techniques

2017 ◽  
Vol 29 (10) ◽  
pp. 1447-1454 ◽  
Author(s):  
Tania Tian ◽  
Stephanie Budgett ◽  
Jackie Smalldridge ◽  
Lynsey Hayward ◽  
James Stinear ◽  
...  
Keyword(s):  
At Risk ◽  
Pelvic Floor ◽  
Pelvic Floor Disorders ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical

Interactions of 2-PPM Lead in the Water Supply with Food Deprivation upon Maze-Swimming Behavior of Mice

1982 ◽  
Vol 55 (2) ◽  
pp. 515-519 ◽  
Author(s):  
S. Kowalski ◽  
G. H. Parker ◽  
M. A. Persinger
Keyword(s):  
Drinking Water ◽  
Water Supply ◽  
Food Deprivation ◽  
Tap Water ◽  
Swimming Behavior ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Food Condition ◽  
Ad Libitum

Mice that had been given either tap water or 2 ppm lead in their drinking water and either severely food deprived (3 days before testing) or allowed food ad libitum demonstrated significant interactions of lead treatment by day by food condition and lead by block. Although not statistically significant, the food deprived-lead treated mice displayed more errors and longer latencies than the ad libitum-water controls. The food deprived-water controls and ad libitum-lead-treated mice displayed intermediate values. The importance of using multivariate statistical techniques that can evaluate dynamic repeated behavioral measurements is emphasized.

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