A field trial was conducted to compare the performance of fourteen lupin breeding lines, including twelve dwarf (DTN) lines and two non-dwarf (CH-304) lines, with the candidate variety DTN20. The trial followed a randomized complete block design with three blocks, each containing fourteen plots. Among the multiple assessed traits, this dataset focuses on oil yield (t/ha; variate OilYield) measured in each plot. Each experimental unit is identified by its block and plot number (Block and Plot), and the line identity (Line). The data enable analysis of oil yield variation among breeding lines, with comparisons made to the candidate variety under controlled field conditions.
Format
A data frame with 6 variables: ID, Block, Plot, Line, NPlant, OilYield.
- ID
Factor. Unique identifier for each plot (observation).
- Block
Factor. Block number in the randomized complete block design.
- Plot
Factor. Plot number within each block.
- Line
Factor. Identity code of the lupin breeding line (e.g., "DTN84", "CH304-73").
- NPlant
Numeric. Average number of plants per square metre in the plot.
- OilYield
Numeric. Oil yield from the plot, measured in tonnes per hectare (t/ha).
Source
Welham, S. J., Gezan, S. A., Clark, S. J., and Mead, A. (2015) Statistical Methods in Biology: Design and analysis of experiments and regression
Examples
aov(OilYield ~ Line + Error(Block/Plot), data = lupintrial)
#>
#> Call:
#> aov(formula = OilYield ~ Line + Error(Block/Plot), data = lupintrial)
#>
#> Grand Mean: 0.3359524
#>
#> Stratum 1: Block
#>
#> Terms:
#> Residuals
#> Sum of Squares 0.006347619
#> Deg. of Freedom 2
#>
#> Residual standard error: 0.05633657
#>
#> Stratum 2: Block:Plot
#>
#> Terms:
#> Line Residuals
#> Sum of Squares 0.3570119 0.1008524
#> Deg. of Freedom 13 26
#>
#> Residual standard error: 0.06228112
#> Estimated effects may be unbalanced