dc.contributor.author | Ronner, E. |
dc.contributor.author | Franke, A.C. |
dc.contributor.author | Vanlauwe, Bernard |
dc.contributor.author | Dianda, M. |
dc.contributor.author | Edeh, E. |
dc.contributor.author | Ukem, B. |
dc.contributor.author | Bala, A. |
dc.contributor.author | Heerwaarden, Joost van |
dc.contributor.author | Giller, Ken E. |
dc.date.accessioned | 2019-12-04T10:57:35Z |
dc.date.available | 2019-12-04T10:57:35Z |
dc.date.issued | 2016-02-01 |
dc.identifier.citation | Ronner, E., Franke, A.C., Vanlauwe, B., Dianda, M., Edeh, E., Ukem, B., ... & Giller, K.E. (2016). Understanding variability in soybean yield and response to P-fertilizer and rhizobium inoculants on farmers’ fields in northern Nigeria. Field Crops Research, 186, 133-145. |
dc.identifier.issn | 0378-4290 |
dc.identifier.uri | https://hdl.handle.net/20.500.12478/785 |
dc.description | Available online 16 November 2015 |
dc.description.abstract | Soybean yields could benefit from the use of improved varieties, phosphate-fertilizer and rhizobium inoculants. In this study, we evaluated the results of widespread testing of promiscuous soybean varieties with four treatments: no inputs (control); SSP fertilizer (P); inoculants (I) and SSP plus inoculants (P + I) among smallholder farmers in northern Nigeria in 2011 and 2012. We observed a strong response to both P and I, which significantly increased grain yields by 452 and 447 kg ha−1 respectively. The additive effect of P + I (777 kg ha−1) resulted in the best average yields. Variability in yield among farms was large, which had implications for the benefits for individual farmers. Moreover, although the yield response to P and I was similar, I was more profitable due to its low cost. Only 16% of the variability in control yields could be explained by plant establishment, days to first weeding, percentage sand and soil exchangeable magnesium. Between 42% and 61% of variability in response to P and/or I could be explained by variables including year, farm size, plant establishment, total rainfall and pH. The predictive value of these variables was limited, however, with cross-validation R2 decreasing to about 15% for the prediction between Local Government Areas and 10% between years. Implications for future research include our conclusion that averages of performance of technologies tell little about the adoption potential for individual farmers. We also conclude that a strong agronomic and economic case exists for the use of inoculants with promiscuous soybean, requiring efforts to improve the availability of good quality inoculants in Africa. |
dc.format.extent | 133-145 |
dc.language.iso | en |
dc.subject | Bradyrhizobium |
dc.subject | Soybeans |
dc.subject | Grain Legumes |
dc.subject | Sustainable Agriculture |
dc.title | Understanding variability in soybean yield and response to P-fertilizer and rhizobium inoculants on farmers' fields in northern Nigeria |
dc.type | Journal Article |
dc.description.version | Peer Review |
cg.contributor.crp | Grain Legumes |
cg.contributor.affiliation | Wageningen University and Research Centre |
cg.contributor.affiliation | University of the Free State |
cg.contributor.affiliation | International Institute of Tropical Agriculture |
cg.contributor.affiliation | Federal University of Agriculture, Nigeria |
cg.coverage.region | Africa |
cg.coverage.region | West Africa |
cg.coverage.country | Nigeria |
cg.isijournal | ISI Journal |
cg.authorship.types | CGIAR and developing country institute |
cg.iitasubject | Grain Legumes |
cg.iitasubject | Soybean |
cg.journal | Field Crops Research |
cg.howpublished | Formally Published |
cg.accessibilitystatus | Limited Access |
local.dspaceid | 74889 |
cg.targetaudience | Scientists |
cg.identifier.doi | https://dx.doi.org/10.1016/j.fcr.2015.10.023 |