Optimizing resource utilization through intercropping soybeans (Glycine max (L.) Merr.) and maize (Zea mays L.) in Middle Egypt

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Authors: Samiha A. H. Ouda, Abd El‐Hafeez Zohry
Cited by: 0

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