Alfalfa Yield and Quality Data from Hydroponic Cultivation Experiment
by Yang Bai·Updated 2mo ago
5.5 KB1files
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Description
A loading matrix of principal components from a hydroponic cultivation experiment on five alfalfa varieties. The dataset, created by Yang Bai and last updated in April 2026, contains results from six harvests measuring yield, acid detergent fiber, neutral detergent fiber, and relative feeding value. The experiment was conducted under controlled conditions of 25°C, a specific nutrient solution, and a 10-hour photoperiod.
Use Cases
Rank alfalfa varieties for cultivation suitability based on D-value scores from membership function analysis.
Model the relationship between harvest time and yield for different alfalfa varieties.
Analyze trade-offs between forage quality metrics like ADF, NDF, and relative feeding value (RFV).
Compare the performance of specific varieties like WL903, WL440HQ, WL712, WL525HQ, and Zhongcao No.13 under controlled conditions.
Strengths
Data is derived from a controlled experiment with specified temperature, photoperiod, and nutrient solution parameters.
Includes measurements for six consecutive harvests at 30-day intervals.
Provides specific value ranges for key metrics like yield (0.41-0.59 kg·m⁻²) and RFV (197.46-233.84).
Limitations
Row count and column-level documentation are unknown, limiting suitability assessment.
Results are based on specific light and nutrient conditions; the description notes further verification is needed for large-scale applications.
The dataset is very small at 5.5 KB, indicating limited scope.
Provenance
Source
figshare, author Yang Bai.
Collection Method
Data from a hydroponic cultivation experiment with controlled environmental conditions.