Optimizing sowing density-based management decisions with different nitrogen rates on smallholder maize farms in northern Nigeria
In this study, the CERES-Maize model was calibrated and evaluated using data from 60 farmers’ fields across Sudan (SS) and Northern Guinea (NGS) Savannas of Nigeria in 2016 and 2017 rainy seasons. The trials consisted of 10 maize varieties sown at three different sowing densities (2.6, 5.3, and 6.6...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Cambridge University Press
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/113391 |
Similar Items: Optimizing sowing density-based management decisions with different nitrogen rates on smallholder maize farms in northern Nigeria
- Optimum stand density of tropical maize varieties: an on-farm evaluation of grain yield responses in the Nigerian Savanna
- CERES-maize model for determining the optimum planting dates of early maturing maize varieties in northern Nigeria
- Evaluation and application of the CROPGRO – Cowpea model for simulating appropriate sowing window and planting density of cowpea varieties across contrasting environments
- CERES-Maize model for simulating genotype-by-environment interaction of maize and its stability in the dry and wet savannas of Nigeria
- Using ceres-maize model to determine the nitrogen fertilization requirements of early maturing maize in the sudan savanna of Nigeria
- Options for calibrating ceres-maize genotype specific parameters under data-scarce environments