Growth, Yield, and Quality Performance of Five Late-Ripening Robusta Coffee Clones in Lam Dong, Vietnam (2018–2023)

This dataset supports the published article:“Evaluating the Growth and Development Ability of 5 Late Ripening Varieties of Coffee (Coffea canephora Pierre) in Lam Dong, Vietnam.” The dataset provides detailed experimental data on the growth performance, yield productivity, phenological traits, and bean quality characteristics of five Robusta coffee clones (TR10, TR14, TR15, TR16, and TR6) cultivated in Lam Dong province, Vietnam. The experiment was conducted under field conditions using a Randomized Complete Block Design (RCBD) with five treatments and three replications. Coffee trees were planted in 2018 and evaluated during the early production stage (2021–2023). 🔬 Dataset Components The dataset includes four main data groups: Growth parameters:Trunk diameter, plant height, number of primary branches, fruit-bearing branches, nodes, and branching structure. Yield performance:Annual yield data (2021 and 2023) and average productivity (tons/ha), allowing comparison among coffee clones. Quality indicators:Bean weight (100-bean weight), fresh-to-bean ratio, and percentage of beans by sieve size (≥16 mm and ≥18 mm), reflecting commercial quality. Phenological data:Time from flowering to harvest and classification of ripening groups (early vs. late ripening varieties). 🌍 Scientific Value and Applications This dataset is valuable for: Coffee breeding and clone selection Yield optimization and productivity analysis Climate adaptation strategies in tropical highlands Crop modeling and decision-support systems Comparative studies on Robusta coffee performance The results highlight that certain clones (notably TR10, TR14, and TR15) demonstrate superior yield (>4 tons/ha) and quality performance under Lam Dong conditions. 📊 Data Sources and Methodology Field experiment conducted in Bao Loc, Lam Dong province Experimental design: RCBD with 3 replications Data collected from growth monitoring, yield measurements, and bean quality analysis Statistical comparisons performed to assess significant differences among clones 📜 Data Accessibility The dataset is openly available under the Creative Commons Attribution 4.0 (CC-BY 4.0) license and follows FAIR data principles to ensure reuse and reproducibility.