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Consultancy for Development of a Meta-dataset of Wheat and Maize Fertilizer

CIMMYT
CompanyCIMMYT
CategoryScience & Research
LocationKathmandu
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted25 Jun 2026
Last verified9 Aug 2026
SourceEmployer ATS (workable)
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Description
1        Background Under the CGIAR Sustainable Farming Program, this activity aims to compile, extract, validate, and merge published wheat and maize fertilizer evidence from Nepal and India into a harmonized, CAROB-aligned agronomy dataset as a farm-level diagnostic evidence generation.  Fertilizer trial/demo papers often include complex treatment structures, including recommended fertilizer doses, farmer practice, site-specific nutrient management, nutrient omission plots, and yield-gap comparisons. In addition, relevant evidence may include binding constraints including agronomy, soil, and micronutrient constraints, particularly boron and zinc as critical.  Existing evidence is scattered across peer-reviewed papers, project reports, theses, institutional datasets, and local knowledge sources. Standardizing this evidence is necessary to support diagnostic protocols, spatial analyses, farm-level constraint characterization, and context-specific intervention targeting. 2        Overall objective To develop a reproducible, quality-controlled, CAROB-aligned meta-dataset of wheat and maize fertilizer treatment trials from Nepal and India, suitable for subsequent meta-analysis, nutrient-use-efficiency analysis, yield response estimation, and decision-support applications, while also generating standardized diagnostic evidence products for identifying farm-level binding constraints. 3        Program alignment This activity contributes to the CGIAR Sustainable Farming Science Program under AoW03: Farm-level diagnostic evidence on soil, plant, water, and socio-economic constraints. It directly supports to generate, standardize, and disseminate diagnostic frameworks, spatial analyses, and evidence products that characterize farm-level binding constraints and guide context-specific intervention targeting. The assignment will contribute to standardized diagnostic protocols, one per country, and diagnostic databases that can be pipelined into interactive dashboards. 4        Activity 1- Online search 4.1      Literature search and corpus compilation Develop a search protocol for retrieving peer-reviewed articles, reports, theses, project documents, and datasets on wheat and maize fertilizer trials in Nepal and India. Search relevant scientific and grey-literature sources using structured keyword combinations covering: Wheat, maize; fertilizer trials; nitrogen, phosphorus, potassium, sulfur, zinc, micronutrients; nutrient omission plots; site-specific nutrient management; recommended dose of fertilizer; farmer fertilizer practice; Nutrient Expert; India and Nepal, CSISA wheat datasets; soil diagnostic reports; weed, pest, and disease trial evidence; crop nutrition and human nutrition linkages. Screen studies using clear inclusion and exclusion criteria. Compile a literature inventory with bibliographic details, study location, year, crop season, treatment types, available variables, and data-extraction status. 4.2      Review papers and develop CAROB-aligned extraction rules Review selected papers, tables, figures, appendices, supplementary files, and reports. Define a CAROB-aligned extraction schema for trial-level, site-level, treatment-level, and observation-level data. Develop search and extraction rules to capture: study ID and source; country, state/province, district, site, coordinates where available;  year, season, irrigation status, cropping system;  wheat or maize variety or cultivar;  experimental design, replication, plot size;  treatment name and treatment code;  N, P, K, S, Zn, B and other nutrient rates;  fertilizer source, timing, and method of application; treatment comparisons, including control, N omission, P omission, K omission, recommended dose, farmer