250 full-sib maize progenies were evaluated under managed drought and low-nitrogen conditions across five test environments in Nigeria. The dataset contains phenotypic data used to estimate variance components and best linear unbiased predictions (BLUPs) for traits like grain yield and flowering dates. Author Idris Adejumobi published the data on figshare in May 2026 under a CC-BY-4.0 license.
Use Cases
- Identifying superior maize crosses for population improvement based on multi-environment trial data.
- Analyzing genotype-by-environment interactions (G×E) under combined drought and low-nitrogen stress.
- Applying multi-trait selection indices like MGIDI and MTSI for stress adaptation analysis.
- Studying the contribution of grain yield, flowering dates, and plant architecture to phenotypic variation via principal component analysis.
Strengths
- Data from 250 distinct maize progenies evaluated under controlled stress conditions.
- Multi-environment trial data from five test sites in Nigeria.
- Analysis includes BLUPs and multiple selection indices (MGIDI, MTSI, Rank-Sum).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The dataset is small in size (147.9 KB), indicating limited scope.
Provenance
- Source
- figshare, author Idris Adejumobi.
- Collection Method
- Progenies generated via a North Carolina Design I mating scheme and evaluated under managed stress conditions.
- Time Range
- null
- Freshness
- Last updated 2026-05-02 13:21:54; freshness should be verified.
- Geography
- Five test environments in Nigeria.