Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Replication Data for: Maize response to macronutrients and potential for profitability in sub-Saharan Africa

Domaine:

agriculture

Type de record:

dataset
Créateur:
Kih
Éditeur:
IntIntCIA
Éditeur:
Har
Hôte:avatar
Sub-Saharan Africa (SSA) is plagued by low productivity and little research is available on the attainable responses and profitability to applied nutrients under variable environments. The objective of this study was to determine the attainable maize grain response to and potential of profitability of N, P and K application in SSA using boundary line approaches. Data from experiments conducted in SSA under AfSIS project (2009–2012) and from FAO trials database (1969–1996) in 15 countries and constituting over 375 different experimental locations and 6600 data points are used. Both response to fertilizer and value cost ratio (VCR) are highly variable and no more than 61 % cases for N, 43 % for P and 25 % for K attain VCR of 2 or more. Also, based on the recent AfSIS data, VCR exceeds 1 in just 67 % (N), 57 % (P) and 40 % (K) of the cases, even when best management practices are applied on a research farm, and interest rates are zero. Chances for profitability are highest when soil organic carbon is 1–2 % and control maize grain yield is 1–3 t ha−1 but also depends on relatively static soil properties (primarily texture and mineralogy) that are not under farmer control. We conclude that return on investment of macronutrient fertilizer is highly variable and can be substantially increased by helping farmers decide where to apply the fertilizers. Consequently, farmers need access to information on factors influencing economic returns of fertilizer use in order to make the right decisions.

Visit

doi.orgdataverse.harvard.edu

Tags

Earth and Environmental SciencesSoil fertilityAfricaSoils

Licenses

info:eu-repo/semantics/openAccessCustom terms specific to this datasethttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.7910/DVN/UNLRGC

Similaires

Replication Data for: Female Empowerment in Sub-Saharan AfricaReplication Data for: Democratization and Economic Output in Sub-­Saharan AfricaReplication data for: Education and HIV Status in Sub-Saharan AfricaReplication Data for: Cabinet Size and Governance in Sub-Saharan AfricaReplication data for An anatomy of urbanisation in Sub-Saharan AfricaReplication Data for: Making it to the PhD: Gender and student performance in sub-Saharan Africa

Replication Data for: Female Empowerment in Sub-Saharan Africa

The code and results for Female Empowerment in sub-Saharan Africa. For the DHS input data, see https

Replication Data for: Democratization and Economic Output in Sub-­Saharan Africa

Does democratization increase economic output? Answers to this question are inconsistent partly due

Replication data for: Education and HIV Status in Sub-Saharan Africa

This study replicated an analysis of survey data from five sub-Saharan African countries, investigat

Replication Data for: Cabinet Size and Governance in Sub-Saharan Africa

Stata (version 14.2) dataset and do file.

Replication data for An anatomy of urbanisation in Sub-Saharan Africa

This repository provides the source data used to compute the delineations, together with the Stata d

Replication Data for: Making it to the PhD: Gender and student performance in sub-Saharan Africa

This dataset investigates factors influencing the performance of doctoral students in Scien