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Data were used from a randomized block design experiment with 32 multiparous Holstein-Friesian cows and 4 diets.
Data from a randomized block design may be analyzed by a nonparametric rank-based method known as the "Friedman test".
The data from a randomized block design can be described by a linear model that suggests the partitioning of the sum of squares and provides a justification for the test statistics.
In this study, RADPRE was used to process data from a randomized block design for two biological conditions.
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In this article, we consider a rank test for a randomized block design when the responses are from a contaminated distribution.
Three hundred and six square plots containing one hundred plants from eight experiments using a randomized block design, with three replications, were evaluated.
Progeny trials were installed in experimental stations from Jaú, Pindorama and Votuporanga, in a randomized block design, five replications and 10 plants per plot, spaced 2.0 × 2.0 m.
At two locations, ten plants from each cross were planted with a randomized block design in two replicates and the average phenotypic value of each cross from two locations was used in the data analysis.
This design enabled us to test individuals from all treatments at the same time using a randomized block design.
One of 3 diets was fed in a randomized block design to 40 cows from calving until 70 d in milk.
A subset of these plots was inoculated with soil cores from a later successional stage and the experiment was arranged in a randomized block design.
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