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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19372525 |
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- <p><strong>Description</strong></p> <p>This dataset provides a comprehensive agro-morphological, physiological, and biochemical characterization of the wild tea (<em>Camellia sinensis</em>) genotype TS567LVC collected from Phu Yen Province, Vietnam, and evaluated under controlled field conditions. It supports the study: <em>“Agro-Morphological Evaluation and Conservation Potential of the Wild Tea (Camellia sinensis) Genotype TS567LVC from Phu Yen, Vietnam”</em> .</p> <p>The dataset includes high-quality experimental data derived from a randomized complete block design (RCBD) with replicated measurements across three tea genotypes: TS567LVC (wild genotype), a Lam Dong landrace, and the commercial Oolong cultivar Kim Tuyen. All genotypes were cultivated under uniform agroecological conditions in Sông Cầu district (13°40′36″N, 109°12′29″E; 480 m a.s.l.) without supplemental irrigation, simulating low-input farming systems.</p> <p><strong>The dataset consists of the following components:</strong></p> <ul> <li> <p><strong>Raw trait data:</strong> Replicated measurements (n = 5 per genotype) of key agro-morphological and physiological traits, including plant height (cm), leaf area (cm²), relative water content (RWC, %), chlorophyll index (SPAD), and total polyphenol content (mg g⁻¹ dry weight).</p> </li> <li> <p><strong>Processed statistical data:</strong> Summary statistics (mean values) and ANOVA results (p-values) for all measured traits, enabling direct comparison among genotypes.</p> </li> <li> <p><strong>Environmental data:</strong> Site-specific agroecological parameters, including geographic coordinates, elevation, annual rainfall (~1600 mm), temperature range (22–26°C), and soil characteristics (Ferralsol, pH 5.0–5.5).</p> </li> <li> <p><strong>Metadata and documentation:</strong> A complete data dictionary, structured metadata, and README file ensuring transparency, reproducibility, and compliance with FAIR data principles.</p> </li> <li> <p><strong>Reproducibility resources:</strong> An analysis script (R) for performing statistical analysis and replicating ANOVA results.</p> </li> </ul> <p>The dataset reveals significant differences among genotypes in all measured traits, with TS567LVC demonstrating superior drought tolerance (RWC ≈ 89%), higher chlorophyll content (SPAD ≈ 42.7), and elevated polyphenol concentration (≈ 29.5 mg g⁻¹), indicating strong adaptive capacity and high-quality potential. These results highlight the importance of wild tea genetic resources as reservoirs for climate-resilient breeding and sustainable tea production.</p> <p>This dataset is suitable for a wide range of applications, including:</p> <ul> <li> <p>Agro-morphological and physiological trait analysis</p> </li> <li> <p>Comparative evaluation of tea genotypes</p> </li> <li> <p>Climate resilience and drought tolerance studies</p> </li> <li> <p>Biochemical quality assessment in tea</p> </li> <li> <p>Conservation and breeding of plant genetic resources</p> </li> </ul> <p><strong>Geographic coverage:</strong> Phu Yen Province, Vietnam<br><strong>Temporal coverage:</strong> 2022–2024 (field experiment period)<br><strong>Data format:</strong> CSV, JSON, R script<br><strong>License:</strong> CC-BY-4.0</p> <p>By providing structured, reproducible, and high-resolution experimental data, this dataset contributes to the conservation and utilization of underexplored wild tea germplasm and supports future research in sustainable and climate-resilient tea systems.</p>