Evaluation of monochloroacetic acid (MCA) degradation and toxicity to Lemna gibba, Myriophyllum spicatum, and Myriophyllum sibiricum in aquatic microcosms

2002 ◽  
Vol 61 (3-4) ◽  
pp. 251-273 ◽  
Author(s):  
Mark L. Hanson ◽  
Paul K. Sibley ◽  
David A. Ellis ◽  
Scott A. Mabury ◽  
Derek C.G. Muir ◽  
...  
2005 ◽  
Vol 138 (3) ◽  
pp. 425-442 ◽  
Author(s):  
Richard A. Brain ◽  
Christian J. Wilson ◽  
David J. Johnson ◽  
Hans Sanderson ◽  
Ketut (Jim) Bestari ◽  
...  

2020 ◽  
Vol 13 (2) ◽  
pp. 59-67
Author(s):  
Ryan A. Thum ◽  
Gregory M. Chorak ◽  
Raymond M. Newman ◽  
Jasmine A. Eltawely ◽  
Jo Latimore ◽  
...  

AbstractPopulation genetic studies of within- and among-population genetic variability are still lacking for managed submerged aquatic plant species, and such studies could provide important information for managers. For example, the extent of within-population genetic variation may influence the potential for managed populations to locally adapt to environmental conditions and control tactics. Similarly, among-population variation may influence whether specific control tactics work equally effectively in different locations. In the case of invasive Eurasian watermilfoil (Myriophyllum spicatum L.), including interspecific hybrids with native northern watermilfoil (Myriophyllum sibiricum Kom.), managers recognize that there is genetic variation for growth and herbicide response. However, it is unclear how much overall genetic variation there is, and how it is structured within and among populations. Here, we studied patterns of within- and among-lake genetic variation in 41 lakes in Michigan and 62 lakes in Minnesota using microsatellite markers. We found that within-lake genetic diversity was generally low, and among-lake genetic diversity was relatively high. However, some lakes were genetically diverse, and some genotypes were shared across multiple lakes. For genetically diverse lakes, managers should explicitly recognize the potential for genotypes to differ in control response and should account for this in monitoring and efficacy evaluation and using pretreatment herbicide screens to predict efficacy. Similarly, managers should consider differences in genetic composition among lakes as a source of variation in the growth and herbicide response of lakes with similar control tactics. Finally, laboratory or field information on control efficacy from one lake may be applied to other lakes where genotypes are shared among lakes.


2005 ◽  
Vol 133 (3) ◽  
pp. 389-401 ◽  
Author(s):  
Richard A. Brain ◽  
Ketut (Jim) Bestari ◽  
Hans Sanderson ◽  
Mark L. Hanson ◽  
Christian J. Wilson ◽  
...  

2011 ◽  
Vol 4 (2) ◽  
pp. 251-259 ◽  
Author(s):  
Chad Cason ◽  
Brad A. Roost

AbstractA total of 24 pre-and posttreatment plant frequency data sets were analyzed from 15 Wisconsin lakes treated with granular 2,4-D BEE herbicide for the control of Eurasian watermilfoil (Myriophyllum spicatum). Six data sets from four untreated control lakes were analyzed for comparison. The data sets included the results of line-transect aquatic plant surveys and point-intercept aquatic plant surveys. The results from these two survey methods were analyzed separately. Analysis of pre-and posttreatment changes in frequency of occurence for 46 species of aquatic plants indicated Eurasian watermilfoil was the only species to show significant declines in all the surveys. At application rates of 112 kg ha−1, Eurasian watermilfoil declined an average 65.9% among the line-transect surveys; and 58.0% among the point-intercept surveys. At application rates of 168 kg ha−1, Eurasian watermilfoil declined by 94.4% and 76.5% among line-transect and point-intercept surveys, respectively. Among the control lakes, Eurasian watermilfoil increased an average of 77% in year 1 and 24% in year 2. Northern watermilfoil (Myriophyllum sibiricum), a closely related native plant, underwent declines in frequency at the higher 2,4-D application rate (20.0%) but showed an increase (88.9%) at the lower rate among the line-transect surveys. Northern watermilfoil exhibited declines at both rates among the point-intercept surveys (48 and 50%, respectively); however, the plant also exhibited declines in the control lakes in year 2. Most other native aquatic plant species were unaffected or showed increases following treatment with 2,4-D BEE. The high degree of selectivity to Eurasian watermilfoil found in this survey of operational treatments with 2,4-D BEE suggests that this herbicide is an important tool for restoring plant communities that have been degraded by Eurasian watermilfoil.


2004 ◽  
Vol 70 (1) ◽  
pp. 23-40 ◽  
Author(s):  
Richard A. Brain ◽  
David J. Johnson ◽  
Sean M. Richards ◽  
Mark L. Hanson ◽  
Hans Sanderson ◽  
...  

Botany ◽  
2015 ◽  
Vol 93 (2) ◽  
pp. 117-121 ◽  
Author(s):  
Simon F. Grafe ◽  
Céline Boutin ◽  
Frances R. Pick ◽  
Roger D. Bull

The discovery of hybridization between the invasive Eurasian watermilfoil (Myriophyllum spicatum L.) and native northern watermilfoil (Myriophyllum sibiricum Kom.) has generated interest in establishing the hybrid’s distribution and invasiveness. Identification of hybrid M. spicatum × M. sibiricum requires molecular genetic analysis, however, as the hybrid’s morphology overlaps with both parent species. Using plants collected from 10 lakes in Ontario, Canada, we compared a previous method of identification (sequencing the nuclear ITS region) with a simpler screening method (PCR-RFLP of the ITS region). Both methods agreed on the identification of hybrid M. spicatum × M. sibiricum and both parent species, supporting the suitability of PCR-RFLP to screen for the hybrid. Four of 29 samples were identified as hybrid M. spicatum × M. sibiricum, which were all found in three adjacent lakes associated with the Rideau Canal Waterway. The PCR-RFLP method should enable greater sampling effort to screen for hybrid M. spicatum × M. sibiricum and establish its geographic distribution across connected waterways.


2002 ◽  
Vol 56 (4) ◽  
pp. 241-255 ◽  
Author(s):  
Mark L. Hanson ◽  
Paul K. Sibley ◽  
David A. Ellis ◽  
Neil A. Fineberg ◽  
Scott A. Mabury ◽  
...  

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