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Description:

An agricultural experiment in which different tillage methods were implemented. The effects of tillage on plant (maize) biomass were subsequently determined by modeling biomass accumulation for each tillage treatment using a 3 parameter Weibull function.

A datset where the total biomass is modeled conditional on a three value factor, and hence vector parameters are used.

Variables:

A data frame with 58 observations on the following 3 variables.

Tillage

Tillage treatments, a factor with levels

CA-:

a no-tillage system with plant residues removed

CA+:

a no-tillage system with plant residues retained

CT:

a conventionally tilled system with residues incorporated

DVS

the development stage of the maize crop. A DVS of 1 represents maize anthesis (flowering), and a DVS of 2 represents physiological maturity. For the data, numeric vector with 5 different values between 0.5 and 2.

Biomass

accumulated biomass of maize plants from each tillage treatment.

Biom.2

the same as Biomass, but with three values replaced by “gross errors”.

Link To Google Sheets:

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License Type:

References/Notes/Attributions:

Source

From Strahinja Stepanovic and John Laborde, Department of Agronomy & Horticulture, University of Nebraska-Lincoln, USA

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Biomass_Tillage_Data_1220_1.csv")

R Coding Interface:


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