Barnyard Millet Genotype Performance Across Indian Agro-Ecologies

India's Jhansi and Almora agro-ecologies hosted a 2024 kharif season evaluation of 39 barnyard millet genotypes for agro-morphological and nutritional traits. The study by Nakka Amulya identified significant genetic variability, with principal component analysis extracting 19 components where the first eight explained 78.45% of total variation.

Use Cases

• Analyze correlations between grain yield and component traits like plant height and flag leaf length using pooled location data.
• Classify genotypes into distinct clusters based on agro-morphological and nutritional traits to identify superior groups for hybridization.
• Compare grain yield and nutritional quality performance of genotypes by origin country, such as Cameroon, Russia, and India.

Strengths

• Data covers 39 distinct barnyard millet genotypes, enabling analysis of genetic variability.
• Analysis includes 19 principal components, with the first eight explaining 78.45% of total variation for dimensionality reduction.
• Study conducted across two contrasting agro-ecological locations (Jhansi and Almora) in India during 2024.

Limitations

• Dataset is very small at 15.8 KB, likely containing summary statistics rather than raw observational records.
• Limited to a single growing season (kharif 2024), preventing analysis of temporal trends or year-to-year stability.
• Geographic scope is restricted to two locations in India, limiting generalizability to other agro-ecologies.

Provenance

Source

figshare, author Nakka Amulya.

Collection Method

Field evaluation of genotypes for agro-morphological and nutritional traits across two locations.

Time Range

kharif season of 2024.

Freshness

Data from the 2024 kharif season, last updated in March 2026.

Geography

Jhansi and Almora, India.