Quantifying variability in maize yield response to nutrient applications in the northern Nigeria Savanna
| dc.creator | Shehu, B.M. | |
| dc.creator | Merckx, Roel | |
| dc.creator | Jibrin, J.M. | |
| dc.creator | Kamara, A. | |
| dc.creator | Rurinda, J. | |
| dc.date | 2018-02 | |
| dc.date | 2018-08-15T14:40:22Z | |
| dc.date | 2018-08-15T14:40:22Z | |
| dc.date.accessioned | 2026-06-27T16:05:56Z | |
| dc.description | Diagnostic on-farm nutrient omission trials were conducted over two cropping seasons (2015 and 2016) to assess soil nutrients related constraints to maize yield in the northern Nigerian savanna agro-ecological zone and to quantify their variability. Two sets of trials were conducted side by side, one with an open pollinated maize variety (OPV) and the other one with a hybrid maize variety and each set had six equal treatments laid out in 198 farmers’ fields. The treatments comprised (i) a control, (ii) a PK (‘−N,’ without N), (iii) an NK (‘−P,’ without P), (iv) an NP (‘−K,’ without K), (v) an NPK and (vi) an NPK + S + Ca + Mg + Zn + B (‘+SMM,’ NPK plus secondary macro- and micro-nutrients). Moderate to a large variability in most soil characteristics was observed in the studied fields. Consequently, cluster analysis revealed three distinct yield-nutrient response classes common for the two types of maize varieties. These define classes were fields that have (i) no-response to any nutrient, (ii) a large response to N and P and (iii) a large response to N alone. Although overall yield performance of OPV and hybrid varieties was similar, a distinct fourth class was identified for the hybrid variety, (iv) fields with a large response to N and secondary macro- and micro-nutrients. The results indicate that the large variability in soil nutrients related constraints need to be accounted for to optimize maize yield in the northern Nigerian savanna. The development of field- and area-specific fertilizer recommendations is highly needed, using simple decision support tools that consider variable soil fertility conditions and yield responses as obtained from this study. | |
| dc.format | application/pdf | |
| dc.identifier | https://hdl.handle.net/10568/96564 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/122473 | |
| dc.language | en | |
| dc.publisher | MDPI | |
| dc.rights | Open Access | |
| dc.source | Shehu, B.M., Merckx, R., Jibrin, J.M. & Rurinda, J. (2018). Quantifying variability in maize yield response to nutrient applications in the northern Nigeria Savanna. Agronomy, 8(2):18, 1-23. | |
| dc.subject | zea mays | |
| dc.subject | multivariate analysis | |
| dc.subject | soil nutrient | |
| dc.subject | yields | |
| dc.title | Quantifying variability in maize yield response to nutrient applications in the northern Nigeria Savanna | |
| dc.type | Journal Article |
