Tag Archives | Statistics

Duncan’s Multiple Range Test (With Diagram) | Statistics

This article provides notes on Duncan's multiple range test. For experiments, requiring the comparison of all possible pairs of treatment means, the LSD test is usually not suitable, when the total number of treatment is large. In such cases, DMRT is useful. DMRT involves the computation of numerical boundaries, that allow for the classification of the difference between any 2 [...]

By |2016-12-12T07:06:10+00:00December 12, 2016|Vegetable Breeding|Comments Off on Duncan’s Multiple Range Test (With Diagram) | Statistics

Experimental Designs for Plant Breeding Programmes | Statistics

This article throws light upon the five important experimental designs for plant breeding programmes. The designs are: 1. Simple Experimental Designs 2. Augmented Design-I 3. Completely Randomized Design 4. Randomized Complete Block Design 5. Split Plot Design. 1. Simple Experimental Designs: The difference among experimental plots treated alike is called experimental error. This error is the main basis for deciding [...]

By |2016-12-12T07:06:09+00:00December 12, 2016|Plant Breeding|Comments Off on Experimental Designs for Plant Breeding Programmes | Statistics

Application in Plant Breeding Programmes

Here is a list of statistical formulas for application in plant breeding programmes. 1. Statistics: It is a broad discipline concerned with methods for collecting, organising, summarizing, presenting, and analysing data, as well as making valid conclusions about the characteristics of the sources from which the data were obtained. It is basically, involved with data analysis. 2. Parameters: Population characteristics [...]

By |2016-12-12T07:06:09+00:00December 12, 2016|Vegetable Breeding|Comments Off on Application in Plant Breeding Programmes
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