Turmeric Seedling Progeny Yield and Trait Data from a Two-Year Study in India

263 first-generation seedling-derived half-sib progenies of turmeric were evaluated over two years (2024–2025) in Kozhikode, India. The dataset includes measurements for 17 vegetative, rhizome, yield, and dry recovery traits, with high heritability reported for key yield components. Authored by Akkurthi Neeraja and shared under a CC-BY-4.0 license, this data supports the selection of superior turmeric lines.

Use Cases

• Applying multi-trait selection indices like MGIDI and MTSI based on the 17 measured traits to identify superior progenies.
• Modeling yield prediction using stepwise regression based on primary rhizome weight and other correlated traits.
• Analyzing trade-offs between total yield and dry recovery using the reported negative correlation.
• Studying the genetic architecture of yield via structural equation modeling on vegetative growth and rhizome sink strength relationships.

Strengths

• Data covers 263 unique seedling-derived half-sib progenies, providing a basis for genetic analysis.
• High broad-sense heritability (60–97%) reported for most traits, including total yield per plant (80.73%) and dry recovery (95.73%).
• Study conducted over two years (2024–2025), allowing for temporal stability assessment.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is limited to a single geographic location (Kozhikode, India), which may affect generalizability.

Provenance

Source

figshare

Collection Method

Field experiment using an augmented randomized complete block design.

Time Range

2024–2025

Freshness

Last updated 2026-05-05 05:28:55; freshness should be verified.

Geography

Kozhikode, India