Helping farmers make data driven decisions.
Helping farmers make data driven decisions.
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I am a highly motivated self-starting individual with broad-based skills and expertise in agriculture and the life sciences. I have worked with various stakeholders from research scientists and local government to farm managers and land owners thoughout my career. My friendly and approachable nature enhances the projects of any individual or company team I collaborate with as I am able to bridge the gaps between technical and field-based knowledge.
My Master of Science, in Soil and Water Sciences, focused on soil carbon and nutrient cycling. It included field sampling, chemical extraction, data visualization, and presentation of findings in oral and written formats.
My undergraduate Bachelor of Arts, in Environmental Studies and Biology, enhanced my communication skills through working on interdisciplinary projects and contributed to making me an adaptable worker who creatively solves puzzles for my clients.
I specialize in analysis of soil and crop production data with the goal of creating a better understanding of the interactions between human-made systems and the natural ecosystems they are embedded in. This helps farmers to maximize their profits by maintaining or improving productivity while reducing input costs. My agricultural-ecosystem-approach uses organic amendments to supplement traditional fertilizer and herb/pest-icide use which improves sustainability and resilience of farm enterprises while reducing negative impacts on neighbouring natural ecosystems.
Gabriel Maltais-Landry, Michael James, Chris Wilson, Lesley Schumacher, Zane Grabau, Sudeep Sidhu, Sheeja George
First published: 12 October 2023 https://doi.org/10.1002/saj2.20602
Abstract
Integrating a perennial forage grass like bahiagrass (Paspalum notatum Flugge) into the traditional rotation of cotton (Gossypium hirsutum L.) and peanut (Arachis hypogaea L.) increases yields and reduces irrigation needs in the Southeast United States. However, the long-term effects of this sod-based rotation (SBR) on soil properties remain unclear. Eighteen years after establishing SBR and the traditional rotation, we collected samples to a depth of 120 cm in 30-cm increments and measured soil carbon and other soil properties (e.g., Mehlich-extractable nutrients). Soil C was 6% higher with SBR in the top 30 cm of soil after 18 years, with no impact on soil C in deeper soil layers. Similarly, there was no effect of SBR on other soil properties (soil texture, pH, and Mehlich-extractable P and Mg), except for lower soil K in SBR. Our results indicate a limited effect of SBR on soil C and other properties in this system where SBR is not grazed and where strip tillage and cover cropping were implemented in both rotations.
Soil total C (left), percent silt and clay (middle), and Mehlich-extractable potassium (right) as a function of depth, averaged by rotation system (mean ± SE). Samples were collected at the same depth in both conventional and sod-based rotation plots, but symbols are not exactly aligned to avoid overlap of symbols and/or error bars. Asterisks (*p < 0.05; **p < 0.01) refer to a significant difference computed for the contrast between conventional and sod-based rotation at each depth. (Reproduced from Figure 1 of Maltais-Landry, James et at 2023)
I aim to help farmers increase profits by modeling the impacts of different amendments, crop species and rotations so they can adaptively manage their land and achieve resilient and sustainable production.
I aim to help farmers increase profits by modeling the impacts of different amendments, crop species and rotations so they can adaptively manage their land and achieve resilient and sustainable production.
Why spend on foreign blooms when you can get long lasting tropical flowers grown locally? Produced from ITC Trade Map Data (March 2022: https://www.trademap.org/ )
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