Molecular pathways associated with the intersex condition in rainbow darter (Etheostoma caeruleum) following exposures to municipal wastewater in the Grand River basin, ON, Canada. Part B

2015 ◽  
Vol 159 ◽  
pp. 302-316 ◽  
Author(s):  
P.A. Bahamonde ◽  
M.E. McMaster ◽  
M.R. Servos ◽  
C.J. Martyniuk ◽  
K.R. Munkittrick
Keyword(s):  
River Basin ◽  
Municipal Wastewater ◽  
Molecular Pathways ◽  
Grand River ◽  
Intersex Condition ◽  
Rainbow Darter ◽  
Etheostoma Caeruleum

Rainbow darter (Etheostoma caeruleum) from a river impacted by municipal wastewater effluents have altered gut content microbiomes

2021 ◽  
Vol 751 ◽  
pp. 141724
Author(s):  
Victoria E. Restivo ◽  
Karen A. Kidd ◽  
Michael G. Surette ◽  
Mark R. Servos ◽  
Joanna Y. Wilson
Keyword(s):  
Municipal Wastewater ◽  
Gut Content ◽  
Rainbow Darter ◽  
Etheostoma Caeruleum ◽  
Wastewater Effluents

Gill Flukes (Monogenoidea) from the Rainbow Darter,Etheostoma caeruleum(Perciformes: Percidae): New Distributional Records for Arkansas, U.S.A.

2017 ◽  
Vol 84 (2) ◽  
pp. 189-193
Author(s):  
Chris T. McAllister ◽  
Donald G. Cloutman ◽  
Henry W. Robison ◽  
Thomas J. Fayton
Keyword(s):  
Rainbow Darter ◽  
Etheostoma Caeruleum

The impact of municipal wastewater effluent on field-deployed freshwater mussels in the Grand River (Ontario, Canada)

2013 ◽  
Vol 33 (1) ◽  
pp. 134-143 ◽  
Author(s):  
Patricia L. Gillis ◽  
François Gagné ◽  
Rodney McInnis ◽  
Tina M. Hooey ◽  
Emily S. Choy ◽  
...  
Keyword(s):  
Municipal Wastewater ◽  
Freshwater Mussels ◽  
Wastewater Effluent ◽  
Grand River ◽  
The Impact

Best subset modelling of phosphorus in the Grand River using correlated variables

1996 ◽  
Vol 23 (4) ◽  
pp. 893-903 ◽  
Author(s):  
A. Tyagi ◽  
M. Sharma ◽  
E. McBean
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Stepwise Regression ◽  
Suspended Solids ◽  
Statistical Modelling ◽  
Quality Parameters ◽  
Independent Variables ◽  
Modelling Procedure ◽  
Different Seasons ◽  
Grand River

Statistical models are developed for the estimation of phosphorus concentrations for different seasons and locations using routinely monitored water quality parameters in the Grand River Basin. Two methods of modelling, namely the best subset model and the stepwise regression method based on R2 and F values, are described. The best subset modelling procedure enables comparison between full model (containing all the independent variables) and subset models (containing subsets of independent variables). For correlated independent variables, the best subset modelling procedure is shown to provide a better model than the stepwise regression procedure. The statistical modelling results indicate that suspended solids play an important role in the prediction of phosphorus levels and consequently decreasing suspended solids would decrease the growth of aquatic plants in the Grand River Basin. Key words: regression modelling, water quality, phosphorus, suspended solids, rivers, statistics.

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