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Skip to Search Results- 12Graduate and Postdoctoral Studies (GPS), Faculty of
- 12Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 6Toolkit for Grant Success
- 6Toolkit for Grant Success/Successful Grants (Toolkit for Grant Success)
- 2Agricultural, Food and Nutritional Science, Department of
- 2Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
- 3Deutsch, Clayton (Civil and Environmental Engineering)
- 2Jing, Yindi (Electrical and Computer Engineering)
- 2Stevan Dubljevic (Department of Chemical and Materials Engineering)
- 1Dr, Yasser Mohamed (Civil and Environmental Engineering)
- 1Dubljevic, Stevan (Chemical and Materials Engineering)
- 1Liu, Qi (Chemical and Material Engineering)
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Analysis of genotype-environment interactions from a genome-wide survey of quantitative trait loci in a barley population
Download2010-01-01
Ham, Bangjoo, Spaner, Dean, Rahman, M. H., Yeh, F. C., Yang, Rong-Cai
The presence of genotype-environment interactions (GE) leads to the imperfect genetic correlation between the measurements of the same trait in different environments, thereby limiting the ability of plant breeders to identify superior breeding lines or best cultivars across the environments. We...
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Analysis of linear and nonlinear genotype × environment interaction
2014
The usual analysis of genotype × environment interaction (G × E) is based on the linear regression of genotypic performance on environmental changes (e.g., classic stability analysis). This linear model may often lead to lumping together of the non-linear responses to the whole range of...
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Applications of nonautonomous infinite-dimensional systems control theory for parabolic PDEs
DownloadFall 2013
Parabolic partial differential equations (PDEs) are used as models of transport-reaction phenomena in a variety of different industrial chemical and materials engineering processes, and can yield precise descriptions of process variables with complex temporal and spatially dependent system...
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Spring 2024
The variogram characterizes the spatial variability of a regionalized variable. Variogram calculation and modeling require a significant amount of professional time. The variogram has a significant impact on estimation and simulation, and it has a considerable impact in the mining industry since...
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Estimation, Soft Sensing and Servo-control of Linear Distributed and Lumped Parameter Systems
DownloadFall 2021
State-of-the-art advancements in the realm of industrial process control and monitoring often require accurate descriptions of complex processes and their dynamical behaviours. Usually, many industrial processes are described by partial differential equations (PDE) or ordinary differential...
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2017-10-16
SSHRC Awarded IG 2018: The goal of this research is to explore professionals' self-assessment and engagement in self-regulated training, using a medical education program as proxy for other professional training programs. Professionals must be able to stay current in skills and knowledge. Being...
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2023-09-30
SSHRC IG awarded 2024: Drawing on our previous nation-wide surveys on: (1) the PPSH experiences of library workers; and (2) the composition of PPSH related policies and training in Canadian libraries, this new project examines how public libraries can meaningfully address PPSH, a complex problem...
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2023-01-02
SSHRC IDG awarded 2023: Pakistan ranks poorly in the world when it comes to gender equality. Sociocultural barriers, limited access to schooling, and discriminatory gender norms have negatively impacted women’s socioeconomic development and inclusion in the formal financial system. Women play a...
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Spring 2010
Many geological deposits contain nonlinear anisotropic features such as veins, channels, folds or local changes in orientation; numerical property modeling must account for these features to be reliable and predictive. This work incorporates locally varying anisotropy into inverse distance...
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Implementation and Evaluation of Spatiotemporal Prediction Algorithms and Prediction of Spatially Distributed Greenhouse Gas Inventories
DownloadFall 2011
Growing environmental concerns require monitoring and modelling of greenhouse gases. These modelling efforts require processing of massive datasets in a timely fashion. This, in turn, can lead to feasibility problems when estimating values of missing data points. This thesis examines and compares...