Cocoa Clone Yield Stability Analysis in India, 2020-2023

Four consecutive years (2020–2023) of field trial data evaluating six cocoa clones for yield stability and adaptability under varying environmental conditions in the humid tropics of India. The dataset, authored by Alwala Kireeti and shared under a CC-BY-4.0 license, likely contains measurements for dry bean yield, pod yield, bean number, and fat content. Analysis methods included combined regression, AMMI, and variance-based stability analyses to assess genotype-by-environment interactions.

Use Cases

• Identify climate-resilient cocoa genotypes based on yield stability metrics mentioned in the description
• Analyze genotype-by-environment (G × E) interactions for crop adaptation to marginal climates
• Model crop yield response to seasonal fluctuations in rainfall and temperature
• Compare the performance of specific clones (VTLCH2, VTLCC1, etc.) across multiple years

Strengths

• Data spans four consecutive years (2020–2023), allowing for temporal trend analysis
• Evaluates six distinct cocoa clones, including a control (VTLC1)
• Employs multiple statistical analyses (regression, AMMI, variance-based) for robustness

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download
• Geographic coverage is limited to the humid tropics of India, which may limit generalizability
• The dataset is small (583.1 KB), indicating a limited scope

Provenance

Source

figshare, author Alwala Kireeti

Collection Method

Field trial data from cocoa clones planted in a coconut plantation using a Randomized Complete Block Design (RCBD) with four replications.

Time Range

2020–2023

Freshness

Last updated 2026-04-13 05:20:38; freshness should be verified

Geography

Humid tropics of India