Optimizing resource utilization through intercropping soybeans (Glycine max (L.) Merr.) and maize (Zea mays L.) in Middle Egypt
Abstract
This dataset contains the original agronomic, soil, and economic data used to evaluate soybean–maize intercropping under different irrigation regimes and soybean planting densities during two field seasons (2022–2023) in Egypt. The data include crop yields, land and water use efficiency indices (LER, WER, MAI), soil nitrogen and available phosphorus, and economic indicators. The dataset supports the findings reported in the associated manuscript submitted to Acta Agriculturae Slovenica.
Fields of Study & Subjects
Agronomic Practices and Intercropping Systems
Agricultural Science and Fertilization
Agroforestry and silvopastoral systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 February 2026
- Document type
- Dataset