Five potential growth media and two mixtures thereof were characterized on the basis of soil gas diffusivity and critical window of diffusivity. A modeling approach to account for inactive pore space and gas percolation threshold both in inter aggregate and intra-aggregate regions was presented. A simple gas diffusivity mixing model was also discussed. Growing plants in containerized substrates has long been common practice in horticulture. Containerized plants (e.g., greenhouse tomatoes) have restricted access to essential growth resources such as oxygen, water, and nutrients. Since a wide range of inorganic and organic materials, and different combinations thereof, are commonly used as growth media, detailed and comparable physical characterization is key to identify the best performing media. In this study, five potential growth media and two mixtures thereof were characterized based on soil gas diffusivity (Dp/Dpo, where Dp and Do are gas diffusion coefficients in soil air and free air, respectively) and an operationally defined critical window of diffusivity (CWD) representing the interval of air-filled porosity between critical air filled porosity where Dp/Dpo ≈ 0.02 and interaggregate porosity. The Dp measurements were conducted with 100-cm3 samples from wet to complete dry conditions achieved by stepwise air drying and equilibration of initially water-saturated samples. A previously developed inactive pore and density-corrected (IPDC) model was able to describe gas diffusivities for media with distinct inactive pore space in the interaggregate pore region reasonably well. An extended IPDC model was introduced for media exhibiting a second percolation threshold in the intra-aggregate pore region. The analysis revealed comparable CWD values for the majority of the investigated media. The results further highlighted the importance of other major aspects (physical, chemical, and biological) of growth media characterization for optimal growth media design. A simple approach toward designing a gas diffusivity mixing model is presented to assist with selection of optimal mixing ratios of growth media with markedly different Dp/Do behavior.
ASJC Scopus subject areas
- Soil Science