Barnyard Millet Genotype Performance Across Two Indian Agro-Ecologies

39 barnyard millet genotypes were evaluated for agro-morphological and nutritional traits in Jhansi and Almora during the 2024 kharif season. The dataset contains results from analysis of variance, correlation studies, and principal component analysis, with the first eight components explaining 78.45% of total variation. Author Nakka Amulya published the study to identify genotypes suitable for developing nutri-dense, climate-resilient cultivars.

Use Cases

• Identify genotypes with superior grain yield by analyzing performance data from the 39 accessions across two locations.
• Assess correlations between grain yield and component traits like plant height and flag leaf length using the provided correlation coefficients.
• Explore genetic divergence for hybridization programs using the four-cluster classification and inter-cluster distance metrics.
• Select nutritionally superior accessions from Cameroon, Malawi, and Syria for developing millet-based functional foods.

Strengths

• Data covers 39 distinct barnyard millet genotypes, providing a basis for genetic variability analysis.
• Principal component analysis derived 19 components, with the first eight explaining 78.45% of total variation.
• Cluster analysis classified genotypes into four groups, with a maximum inter-cluster distance of 6.51 indicating high divergence.

Limitations

• Limited to 39 genotypes, a small sample size for broad genetic inference.
• Evaluation confined to only two locations in India during a single season (2024 kharif), limiting environmental generalizability.
• Original data is embedded in a DOCX report (50.8 KB), requiring extraction for computational analysis.

Provenance

Source

figshare, authored by Nakka Amulya.

Collection Method

Field evaluation of genotypes across two agro-ecological locations, followed by statistical analysis.

Time Range

kharif season of 2024.

Freshness

Data reflects the 2024 growing season and was last updated in March 2026.

Geography

Jhansi and Almora, India; genotypes originate from Cameroon, Russia, India, Malawi, and Syria.