Wilfried DOSSOU-YOVO

My Ph.D. research explored the carbon sequestration potential of cranberry agroecosystems, with a focus on modeling organic matter decomposition and evaluating soil carbon stability under varying environmental and management conditions.

Employed the Tea Bag Index (TBI) and fractal kinetics modeling to assess decomposition rates and stabilization dynamics in cranberry soils.

Analyzed CO₂ emissions using R programming and statistical modeling, examining their relationship with temperature, soil management practices, and crop residue composition.

Investigated how organic matter biochemistry (e.g., lignin, cellulose) and physical soil protection influence decomposition rates and long-term carbon stabilization.

Integrated field data, laboratory experiments, and mathematical modeling to develop insights into soil carbon cycling in horticultural systems.

Contributed to the scientific understanding of soil carbon dynamics, supporting strategies for sustainable soil management and climate-resilient agriculture.

My master’s research focused on optimizing phosphorus fertilization strategies in Eastern Canadian corn production systems. I integrated field experimentation with crop response modeling using R programming to evaluate the effects of banded phosphorus applications, both with and without cattle manure, on corn yield performance.

Developed predictive models to simulate grain yield outcomes under varying fertilization regimes, aiming to improve phosphorus use efficiency and inform data-driven nutrient management.

Analyzed long-term trial data to assess interactions between soil fertility, organic amendments, and environmental conditions, linking agronomic responses to site-specific variability.

Contributed to the advancement of sustainable phosphorus management by applying statistical and modeling techniques to optimize input use and minimize environmental losses.

Gained expertise in soil fertility diagnostics, environmental soil chemistry, and the integration of agronomic data science for practical decision-support in precision agriculture.

My academic journey began with a rigorous science track (BAC Série D) in Benin, a program tailored to prepare students for engineering and scientific studies. This curriculum provided a strong foundation in mathematics, statistics, geometry, physics, electromagnetism, and biology.

I went on to earn a Bachelor of Science in Plant Production Sciences and Techniques from Université d’Abomey-Calavi, where I developed both theoretical knowledge and applied skills in agricultural science.

During the first two years, I completed over 40 intensive courses in Calculus I–III; general , organic analytical, and physical chemistry; physics; biology; topography; statistics and experimental design.

In the final two years, the focus shifted to applied agronomy, including soil fertility, crop physiology, irrigation, and integrated pest management.

I completed a supervised practicum involving field experimentation and diagnostic analysis, culminating in a written thesis and public defense.

This solid dual foundation combining scientific depth with agronomic practice continues to inform my work in nutrient optimization, agricultural modeling, and precision agriculture research.