Genetic Variability of 213 Conilon Coffee Accessions for Bean Quality Traits

Felipe Augusto Alves Brige's research quantifies the genetic variability of 213 conilon coffee accessions based on chemical characteristics of green coffee beans. The dataset includes measurements for protein, caffeine, total soluble solids, total lipids, ether extract, pH, and total titratable acidity. Principal component and cluster analyses identified three genotype groups and highlighted promising accessions for a breeding program in the irrigated Cerrado region of Brazil.

Use Cases

• Identify promising coffee genotypes for breeding programs based on chemical quality traits.
• Perform genetic variability analysis using principal component and cluster methods on plant trait data.
• Study correlations between chemical characteristics like caffeine content and total lipids in coffee beans.

Strengths

• Includes data for 213 distinct coffee accessions, providing a substantial sample for genetic analysis.
• Principal component analysis explained 72.64% of the total data variation, indicating good dimensionality reduction.
• All assessed chemical characteristics except pH were correlated with the first three principal components.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Felipe Augusto Alves Brige

Collection Method

Experimental evaluation of coffee accessions for chemical characteristics, followed by principal component and cluster analysis.

Geography

Brazilian Cerrado region