Cited by 12Agricultural Science and FertilizationAgricultural Innovations and PracticesRice Cultivation and Yield Improvement

The DOI matches its Crossref record; the references it cites are not checked yet.

Quantifying the prevalence of (non)-response to fertilizers in sub-Saharan Africa using on-farm trial data

Open access
Nziguheba, Generose, van Heerwaarden, Joost, Vanlauwe, Bernard·2021·Nutrient Cycling in Agroecosystems

Abstract

Poor and variable crop responses to fertilizer applications constitute a production risk and may pose a barrier to fertilizer adoption in sub-Saharan Africa (SSA). Attempts to measure response variability and quantify the prevalence of non-response empirically are complicated by the fact that data from on-farm fertilizer trials generally include diverse nutrients and do not include on-site replications. The first aspect limits the extent to which different studies can be combined and compared, while the second does not allow to distinguish actual field-level response variability from experimental error and other residual variations. In this study, we assembled datasets from 41 on-farm fertilizer response trials on cereals and legumes across 11 countries, representing different nutrient applications, to assess response variability and quantify the frequency of occurrence of non-response to fertilizers. Using two approaches to account for residual variation, we estimated non-response, defined here as a zero agronomic response to fertilizer in a given year, to be relatively rare, affecting 0–1 and 7–16% of fields on average for cereals and legumes respectively. The magnitude of response could not be explained by climatic and selected topsoil variables, suggesting that much of the observed variation may relate to unpredictable seasonal and/or local conditions. This implies that, despite demonstrable spatial bias in our sample of trials, the estimated proportion of non-response may be representative for other agro-ecologies across SSA. Under the latter assumption, we estimated that roughly 260,000 ha of cereals and 3,240,000 ha of legumes could be expected to be non-responsive in any particular year.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s10705-021-10174-1

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

The citation lists haven’t been fetched yet

References 53 · Cited by 12

Research works printed but not linked: 49

  1. Adiele JG, Schut AGT, van den Bueken RPM, Ezui KS, Pypers P, Ano AO, Egesi CN, Giller KE (2020) Towards closing cassava yield gap in West Africa: agronomic efficiency and storage root yield responses to NPK fertilizers. Field Crop Res. https://doi.org/10.1016/j.fcr.2020.107820 · DOI
  2. Adjei-Nsiah S, Alabi BU, Ahiakpa JK, Kanampiu F (2018) Response of grain legumes to phosphorus application in the Guinea Savanna Agro-Ecological zones of Ghana. Agron J 110:1089 · DOI
  3. Andriesse W, Giller K (2015) The state of soil fertility in sub-Saharan Africa. Agric Dev 24:32–36
  4. Bielders CL, Gérard B (2015) Millet response to microdose fertilization in south-western Niger: effect of antecedent fertility management and environmental factors. Field Crops Res 171:165–175. https://doi.org/10.1016/j.fcr.2014.10.008 · DOI
  5. Binswanger-Mkhize HP, Savastano S (2017) Agricultural intensification: the status in six African countries. Food Policy 67:26–40 · DOI
  6. Bonilla Cedrez C, Chamberlin J, Guo Z, Hijmans RJ (2020) Spatial variation in fertilizer prices in Sub-Saharan Africa. PLoS ONE. https://doi.org/10.1371/journal.Pone.,0227764 · DOI
  7. Breiman L, Random F (2001) Machine learning 45: 5–32 · DOI · Paper page
  8. Fick SE, Hijmans RJ (2017) WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. Int J Climatol 37:4302–4315 · DOI · Paper page
  9. Garba M, Serme I, Wortmann CS (2018) Crop yield response to fertilizer relative to soil properties in sub-Saharan Africa. Soil Sci Soc Amer J 82:862–870 · DOI
  10. Greenwood DJ, Wood JT, Cleaver TJ, Hunt J (1971) A theory for fertilizer response. J Agric Sci 77:511–523. https://doi.org/10.1017/S0021859600064595 · DOI
  11. Henderson CR (1982) Analysis of covariance in the mixed model: higher-level, nonhomogeneous, and random regressions. Biometrics 38:623. https://doi.org/10.2307/2530044 · DOI
  12. Hengl T, Heuvelink GBM, Kempen B, Leenaars JGB, Walsh MG, Shepherd KD, Sila A, MacMillan RA, Mendes de Jesus J, Tamene L, Tondoh JE (2015) Mapping soil properties of Africa at 250 m resolution: random forests significantly improve current predictions. PLoS ONE 10:e0125814. https://doi.org/10.1371/journal.pone.0125814 · DOI
  13. Hengl T, Leenaars JGB, Shepherd KD, Walsh MG, Heuvelink GBM, Mamo T, Tilahun H, Berkhout E, Cooper M, Fegraus E, Wheeler I, Kwabena NA (2017) Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning. Nutr Cycl Agroecosyst 109:77–102. https://doi.org/10.1007/s10705-017-9870-x · DOI
  14. Holden AT (2018) Fertilizer and sustainable intensification in Sub-Saharan Africa. Glob Food Secur 18:20–26 · DOI
  15. Hutton CE, Robertson WK, Hanson WD (1956) Crop response to different soil fertility levels in a 5 by 5 by 5 by 2 factorial experiment: I. Corn 1. Soil Sci Soc Am J 20:531–537 · DOI
  16. Ichami SM, Shepherd KD, Sila AM, Stoorvogel JJ, Hoffland E (2019) Fertilizer response and nitrogen use efficiency in African smallholder maize farms. Nutr Cycl Agroecosyst 113:1–19. https://doi.org/10.1007/s10705-018-9958-y · DOI
  17. IFDC (2006) Africa Fertilizer Summit Proceedings, Abuja, Nigeria June 9–13 2006. Florence, Alabama, IFDC
  18. Janssen BH (1998) Efficiency use of nutrients: an art of balancing. Field Crops Res 56:197–201 · DOI
  19. Janssen BH (2011) Simple models and concepts as tools for the study of sustained soil productivity in long term experiments II: crop nutrient equivalents, balanced supplies of available nutrients and NPK triangles. Plant Soil 339:17–33 · DOI
  20. Janssen BH, Guiking FCT, van der Eijk D, Smalling EMA, Wolf J, van Reuler H (1990) A system for quantitative evaluation of the fertility of tropical soils (QUEFTS). Geoderma 46:299–318 · DOI
  21. Jayne TS, Rachid S (2013) Input subsidy programs in sub-Saharan Africa: a synthesis of recent evidence. Agric Econ 44:547–562 · DOI
  22. Jayne TS, Mason NM, Burke WJ, Ariga J (2018) Review: taking stock of Africa’s second-generation agricultural input subsidy programs. Food Policy 75:1–14. https://doi.org/10.1016/j.foodpol.2018.01.003 · DOI · Paper page
  23. Kaizzi KC, Byalebeka J, Semalulu O, Alou I, Zimwanguyizza W, Nansamba A, Musinguzi P, Ebanyat P, Hyuha T, Wortmann CS (2012) Maize response to fertilizer and nitrogen use efficiency in Uganda. Agron J 104:73–82 · DOI
  24. Kamanga BCG, Waddington SR, Whitbread AM, Almekinders CJM, Giller KE (2014) Improving the efficiency of use of small amounts of nitrogen and phosphorus fertiliser on smallholder maize in central Malawi. Exp Agr 50:229–249. https://doi.org/10.1017/S0014479713000513 · DOI
  25. Kihara J, Nziguheba G, Zingore S, Coulibaly A, Esilaba A, Kabambe V, Njoroge S, Palm C, Huising J (2016) Understanding variability in crop response to fertilizer and amendments in sub-Saharan Africa. Agric Ecosyst Environ 229:1–12. https://doi.org/10.1016/j.agee.2016.05.012 · DOI · Paper page
  26. Liverpool-Tasie LSO, Omonona BT, Sanou A, Ogunleye WO (2017) Is increasing inorganic fertilizer use for maize production in sub-Saharan Africa a profitable proposition? Evidence from Nigeria. Food Policy 67:41–51 · DOI
  27. Mafongoya PL, Bationo A, Kihara J, Waswa BS (2007) Appropriate technologies to replenish soil fertility in southern Africa. Nutr Cycl Agroecosyst 76:137–151. https://doi.org/10.1007/s10705-006-9049-3 · DOI
  28. Ngome AF, Becker M, Mtei MK, Mussgnug F (2013) Maize productivity and nutrient use efficiency in Western Kenya as affected by soil type and crop management. Int J Plant Product 7:517–536
  29. Njoroge S, Schut AGT, Giller KE, Zingore S (2017) Strong spatial-temporal patterns in maize yield response to nutrient additions in African smallholder farms. Field Crops Res 214:321–330 · DOI · Paper page
  30. Olk DC, Cassman KG, Simbahan G, Cruz PCS, Abdulrachman S, Nagarajan R, Tan PS, Satawathananont S (1999) Interpreting fertilizer use efficiency in relation to soil nutrient supplying capacity, factor productivity and agronomic efficiency. Nutr Cycl Agroecosyt 53:35–41 · DOI
  31. Ronner E, Franke AC, Vanlauwe B, Dianda M, Edeh E, Ekem B, Bala A, van Heerwaarden J, Giller KE (2016) Understanding variability in soybean yield and response to P-fertilizer and rhizobium inoculants on farmers’ fields in northern Nigeria. Field Crops Res 186:133–145 · DOI
  32. Roobroeck D, Palm CA, Nziguheba G, Weil R, Vanlauwe B (2021) Assessing and understanding non-responsiveness of maize and soybean to fertilizer applications in African smallholder farms. Agric Ecosyst Environ 305:107165 · DOI
  33. Sanchez PA (2010) Tripling crop yields in tropical Africa. Nat Geosci 3:299–300 · DOI
  34. Schut AGT, Gillet KE (2020) Sustainable intensification of Agriculture in Africa. Front Agr Sci Ang 7:371–375 · DOI
  35. Shehu BM, Merckx R, Jibrin JM, Kamara AY, Rurinda J (2018) Quantifying variability in maize yield response to nutrient applications in the northern Nigerian savanna. Agron 8:18. https://doi.org/10.3390/agronomy8020018 · DOI
  36. ten Berge HFM, Hijbeek R, van Loon MP, Rurinda J, Tesfaye K, Zingore S, van Ittersum MK (2019) Maize crop nutrient input requirements for food security in sub-Saharn Africa. Glob Food Secur 23:9–21 · DOI
  37. Tittonell P, Giller KE (2013) When yield gaps are poverty traps: the paradigm of ecological intensification in African smallholder agriculture. Field Crops Res 143:76–90 · DOI · Paper page
  38. Tittonell P, Vanlauwe B, de Ridder N, Giller KE (2007) Heterogeneity of crop productivity and resource use efficiency within smallholder Kenyan farms: soil fertility gradients or management intensity gradients? Agric Syst 94:376–390 · DOI
  39. UN Millennium project (2005) Halving hunger: it can be done. Earthscan, London
  40. van Heerwaarden J, Baijukya F, Kyei-Boahen S, Adjei-Nsiah S, Ebanyat P, Kamai N, Wolde-meskel E, Kanampiu F, Vanlauwe B, Giller KE (2018) Soyabean response to rhizobium inoculation across sub-Saharan Africa: patterns of variation and the role of promiscuity. Agric Ecosyst Environ 261:211–218 · DOI
  41. van Ittersum MK, van Bussel LGJ, Wolf J, Cassman KG (2016) Can sub-Saharan Africa feed itself? PNAS 113:1964–1469 · DOI
  42. Vanlauwe B, Bationo A, Chianu J, Giller KE, Merckx R, Mokwunye U, Ohiokpehai O, Pypers P, Tabo R, Shepherd KD, Smaling EMA, Woomer PL, Sanginga N (2010) Integrated soil fertility management: operational definition and consequences for implementation and dissemination. Outlook Agr 39:17–24 · DOI
  43. Vanlauwe B, Kihara J, Chivenge P, Pypers P, Coe R, Six J (2011) Agronomic use efficiency of N fertilizer in maize-based systems in Sub-Saharan Africa within the context of integrated soil fertility management. Plant Soil 339:35–50 · DOI
  44. Vanlauwe B, Coyne D, Gockowski J, Hauser S, Huising J, Masso C, Nziguheba G, Schut M, Van Asten P (2014) Sustainable intensification and the smallholder farmer. Curr Opin Environ Sustain 8:15–22 · DOI
  45. Vanlauwe B, Coe R, Giller KE (2016) Beyond averages: new approaches to understand heterogeneity and risk of technology success or failure in smallholder farming. Exp Agr. https://doi.org/10.1017/S0014479716000193 · DOI
  46. Wortmann CS, Milner M, Kaizzi KC, Nouri M, Cyamweshi AR, Dicko MK, Kibunja CN, Macharia M, Maria R, Nalivata PC, Demissie N, Nkonde D, Ouattara K, Senkoro CJ, Tarfa BD, Tetteh FM (2017) Maize-nutrient response information applied across Sub-Saharan Africa. Nutr Cycl Agroecosyst 107:175–186. https://doi.org/10.1007/s10705-017-9827-0 · DOI
  47. Xu X, He P, Pampolino MF, Johnston AM, Qiu S, Zhao S, Chuan L, Zhou W (2014) Fertilizer recommendation for maize in China based on yield response and agronomic efficiency. Field Crops Res 157:27–34 · DOI
  48. Zingore S, Murwira HK, Delve RJ, Giller KE (2007) Soil type, management history and current resource allocation: three dimensions regulating variability in crop productivity on African smallholder farms. Field Crops Res 101:296–305 · DOI
  49. Zingore S, Murwira HK, Delve RJ, Giller KE (2008) Variable grain legume yields, responses to Phosphorus and rotational effects on maize across soil fertility gradients on African smallholder farms. Nutr Cycl Agroecosyst 80:1–18 · DOI

Metadata

Authors
Nziguheba, G., van Heerwaarden, J., & Vanlauwe, B.
Affiliations
  • International Institute of Tropical Agriculture (UG)
  • Wageningen University & Research (NL)
Corresponding author
  • Nziguheba, Generose
  • van Heerwaarden, Joost
Venue
Nutrient Cycling in Agroecosystems
Published
2021-10-21
Volume
121
Issue
2-3
Pages
257-269
ISSN
  • 1385-1314 (ISSN-L)
  • 1573-0867
OpenAlex
W3211104795
Cited by
12
References
53
Citations by year
2026: 2 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 6
FWCI
1.17
Type
journal article
Language
en
Open access
Locations
  • Nutrient Cycling in Agroecosystems (publishedVersion, cc-by)
  • Socio-Environmental Systems Modeling (acceptedVersion, cc-by)
  • CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
  • Greater South Information System
Funders
  • National Science Foundation
  • Bill and Melinda Gates Foundation
  • Department for International Development
  • International Fund for Agricultural Development
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Agricultural Science and Fertilization
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Rice Cultivation and Yield Improvement
Keywords
sub-Saharan Africa, cereals, Fabaceae, fertilizer adoption, residual variance, production risk

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Quantifying the prevalence of (non)-response to fertilizers in sub-Saharan Africa using on-farm trial data. https://app.cochat.ai/papers/10.1007/s10705-021-10174-1
The paper
Nziguheba, G., van Heerwaarden, J., & Vanlauwe, B. (2021). Quantifying the prevalence of (non)-response to fertilizers in sub-Saharan Africa using on-farm trial data. Nutrient Cycling in Agroecosystems. https://doi.org/10.1007/s10705-021-10174-1