Data · dataset · 2024
Tailoring Tomato (Solanum lycopersicum L.) Traits to Microclimates: A Multi-Location Evaluation of Growth, Yield, and Quality Responses in Western Ethiopia
Listed in ScienceDB
Description: This dataset presents findings from a multi-location experiment investigating the performance of eight national tomato cultivars and one local check under contrasting microclimates in Western Ethiopia during the 2022–2023 off-seasons.
Description
The data captures comprehensive details on the growth, yield, quality, and post-harvest characteristics of different tomato genotypes across two distinct sites: Bako Tibe and Gambella Tare.Data Generation:Ø Sites: Bako Tibe (sub-humid, clay loam soil, mean annual rainfall 1289 mm) and Gambella Tare (mixed agricultural practices, alluvial soil, mean annual rainfall 1800 mm).Ø Design: a randomized complete block design with three replications at each location.Ø Treatments: Nine genotypes (8 national cultivars + 1 local check).Ø Data Collection: 35 agronomic and quality traits were assessed on 10 randomly selected plants per genotype per site following standardized protocols by IPGRI (1996).Ø Traits: quantitative (growth, yield, physicochemical properties), qualitative (fruit morphology, physiological disorders, plant morphology, postharvest quality).Data Format:Tabular data is stored in spreadsheet format (e.g., Excel, CSV).Each row represents a specific data point (genotype, location, replication, trait value).Headers clearly define variable names, units, and other relevant information.Data Scope:Temporal: single off-season cropping season (2022-2023).ü Spatial: Two sites representing distinct microclimates in Western Ethiopia.ü Data Entries: Total of ~6300 data points (9 genotypes x 2 locations x 3 replications x 10 plants x 35 traits).Missing Data: there is no missing dataError Information: Data normality was checked before analysis.
Any identified statistical errors or anomalies documented within the dataset and accompanying research article.File Access: Data files are available upon request or through a designated repository with clear instructions for access and download.Software Compatibility: Tabular data is readily accessible using standard spreadsheet software. Additional software may be required for specific analyses, depending on the data format and user needs.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.15705 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Horticultural crop growth and development 78% · Tabular 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.15705 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:300802 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (78%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |