
Real-world challenges in improving nutrient use efficiency, and statistical models for quantifying nitrogen responsiveness (Chapter 2).
Selected work across crop science, spatial analysis, and data-driven research, research projects first, then the Master's thesis gallery.

Real-world challenges in improving nutrient use efficiency, and statistical models for quantifying nitrogen responsiveness (Chapter 2).

Comparing multiple linear regression with ordinary kriging, cokriging, and regression kriging for mapping soil fertility, and what that means for sampling design (Chapter 3).

Reproducible exploration of GEO GSE283652, edgeR QC/TMM, PCA, and mouse immune/stromal deconvolution for an Npy1r KO vs WT contrast.
Dedicated to examining nitrogen use efficiency estimations and spatial heterogeneity in crop fields across Central Alberta.





Read the full thesis on the University of Alberta repository →
Statistical and In-field Challenges Involved in Quantifying Crop Nitrogen Use Efficiency (NUE) and Spatial Soil Fertility in Central Alberta, University of Alberta, 2019.