Small-scale farming in drylands: New models for resilient practices of millet and sorghum cultivation
PLOS ONE • Vol/Iss. 18(2) • PLOS ONE • • Published In • Pages: 1-17 •
By Ruiz-Giralt, Abel, Biagetti, Stefano, Madella, Marco, Lancelotti, Carla
Hypothesis
Physio-climatic, soil composition, and spatial factors will predict crop selection.
Note
The top predictors of crop selection were mean topsoil volumetric water content at 15 kPA, mean topsoil pH, variance of mean temperature of the warmest quarter, mean global horizontal irradiance, variance of subsoil clay content, and mean precipitation seasonality. Overall, both physio-climatic and soil composition factors had a significant influence, with spatial factors having a much smaller impact.
| Test Name | Support | Significance | Coefficient | Tail |
|---|---|---|---|---|
| Predictive model | Mostly supported | UNKNOWN | UNKNOWN | UNKNOWN |
| Variable Name | Variable Type | OCM Term(s) |
|---|---|---|
| Physio-climatic factors | Independent | Climate, Geography, Topography And Geology |
| Spatial factors | Independent | Location |
| Crop selection | Dependent | Tillage |
| Soil composition factors | Independent | Soil |