Out-crossing between genetically modified herbicide-tolerant and other winter oilseed rape cultivars

2006 ◽  
Vol 4 (2) ◽  
pp. 96-107 ◽  
Author(s):  
Euan Simpson ◽  
Neil McRoberts ◽  
Jeremy Sweet
Keyword(s):  
Power Law ◽  
Genetically Modified ◽  
Inverse Power ◽  
Power Law Model ◽  
Cross Pollination ◽  
Inverse Power Law ◽  
Herbicide Tolerant ◽  
Low Levels ◽  
Negative Exponential ◽  
Field Plots

Out-crossing between genetically modified herbicide-tolerant (GMHT) and non-GM rape cultivars was studied using GMHT source field plots of approximately 0.8 ha. Levels of cross-pollination between adjacent fully fertile rape varieties declined rapidly with increasing distance from the interface between plots. A varietal association with low levels of male sterility showed higher levels of out-crossing than other varieties. Out-crossing data were used to compare negative exponential and inverse power-law models for their fit to describe the observed relationship between cross-pollination and distance from source. Results showed that the inverse power-law model provided a better fit of the data.

scholarly journals Modeling Epidemics in Seed Systems and Landscapes To Guide Management Strategies: The Case of Sweet Potato in Northern Uganda

2019 ◽  
Vol 109 (9) ◽  
pp. 1519-1532 ◽  
Author(s):  
K. F. Andersen ◽  
C. E. Buddenhagen ◽  
P. Rachkara ◽  
R. Gibson ◽  
S. Kalule ◽  
...  
Keyword(s):  
Sweet Potato ◽  
Power Law ◽  
Inverse Power ◽  
Centrality Measures ◽  
Northern Uganda ◽  
Seed Systems ◽  
Negative Exponential Function ◽  
Improved Varieties ◽  
Inverse Power Law ◽  
Negative Exponential

Seed systems are critical for deployment of improved varieties but also can serve as major conduits for the spread of seedborne pathogens. As in many other epidemic systems, epidemic risk in seed systems often depends on the structure of networks of trade, social interactions, and landscape connectivity. In a case study, we evaluated the structure of an informal sweet potato seed system in the Gulu region of northern Uganda for its vulnerability to the spread of emerging epidemics and its utility for disseminating improved varieties. Seed transaction data were collected by surveying vine sellers weekly during the 2014 growing season. We combined data from these observed seed transactions with estimated dispersal risk based on village-to-village proximity to create a multilayer network or “supranetwork.” Both the inverse power law function and negative exponential function, common models for dispersal kernels, were evaluated in a sensitivity analysis/uncertainty quantification across a range of parameters chosen to represent spread based on proximity in the landscape. In a set of simulation experiments, we modeled the introduction of a novel pathogen and evaluated the influence of spread parameters on the selection of villages for surveillance and management. We found that the starting position in the network was critical for epidemic progress and final epidemic outcomes, largely driven by node out-degree. The efficacy of node centrality measures was evaluated for utility in identifying villages in the network to manage and limit disease spread. Node degree often performed as well as other, more complicated centrality measures for the networks where village-to-village spread was modeled by the inverse power law, whereas betweenness centrality was often more effective for negative exponential dispersal. This analysis framework can be applied to provide recommendations for a wide variety of seed systems.[Formula: see text] Copyright © 2019 The Author(s). This is an open access article distributed under the CC BY 4.0 International license .

A DEVELOPMENT OF ACCELERATED LIFE TEST METHOD FOR BLOWER MOTOR FOR AUTOMOBILE USING INVERSE POWER LAW MODEL

2008 ◽  
Vol 22 (09n11) ◽  
pp. 1074-1080 ◽  
Author(s):  
WAE-GYEONG SHIN ◽  
SOO-HONG LEE
Keyword(s):  
Power Law ◽  
Dc Motor ◽  
Test Method ◽  
Accelerated Life Test ◽  
Inverse Power ◽  
Testing Time ◽  
Power Law Model ◽  
Life Test ◽  
Inverse Power Law ◽  
Accelerated Life

Reliability of automotive parts has been one of the most interesting fields in the automotive industry. Especially small DC motor was issued because of the increasing adoption for passengers' safety and convenience. This study was performed to develop the accelerated life test method using Inverse power law model for small DC motors. The failure mode of small DC motor includes brush wear-out. Inverse power law model is applied effectively the electronic components to reduce the testing time and to achieve the accelerating test conditions. Accelerated life testing method was induced to bring on the brush wear-out as increasing voltage of motor. Life distribution of the small DC motor was supposed to follow Weibull distribution and life test time was calculated under the conditions of B 10 life and 90% confidence level.

Small-Sample Accelerated Life Test Method based on the Inverse Power Law Model

2014 ◽  
Vol 8 (4) ◽  
pp. 1725-1730 ◽  
Author(s):  
Yulin Wang ◽  
Bin Zhou ◽  
Tian Ge ◽  
Hutian Feng ◽  
Weijun Tao
Keyword(s):  
Power Law ◽  
Small Sample ◽  
Test Method ◽  
Accelerated Life Test ◽  
Inverse Power ◽  
Power Law Model ◽  
Life Test ◽  
Inverse Power Law ◽  
Accelerated Life

scholarly journals Exploring parameter constraints on quintessential dark energy: The inverse power law model

2009 ◽  
Vol 79 (10) ◽  
Author(s):  
Mark Yashar ◽  
Brandon Bozek ◽  
Augusta Abrahamse ◽  
Andreas Albrecht ◽  
Michael Barnard
Keyword(s):  
Dark Energy ◽  
Power Law ◽  
Inverse Power ◽  
Power Law Model ◽  
Inverse Power Law ◽  
Parameter Constraints
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