vardata

The data consists of genotypes, replications and nine traits

datasets

Performs analysis of various genetic parameters like genotypic and phenotypic coefficient of variance, heritability, genetic advance, genetic advance as a percentage of mean. The package also has functions for genotypic and phenotypic covariance, correlation and path analysis. Dataset has been added to facilitate example. For more information refer Singh, R.K. and Chaudhary, B.D. (1977, ISBN:81766330709788176633079).

Raj Popat

variability

Genetic Variability Analysis for Plant Breeding Research

Rumit Patel

Dinesh Parmar

vardata function

The data has 11 columns and 120 rows<dl class="dl-horizontal">
<dt>Genotypes</dt><dd>40 genotypes</dd>
<dt>Replication</dt><dd>3 replications</dd>
<dt>DFF</dt><dd>Days to 50 per cent flowering</dd>
<dt>PH</dt><dd>Plant height</dd>
<dt>PL</dt><dd>Panicle length</dd>
<dt>PW</dt><dd>Panicle weight</dd>
<dt>HI</dt><dd>Harvest index</dd>
<dt>TW</dt><dd>Test weight</dd>
<dt>MILL</dt><dd>Milling percentage</dd>
<dt>HRR</dt><dd>Head rice recovery</dd>
<dt>GY</dt><dd>Grain Yield</dd>
</dl>

Format

Variability Data — vardata

The data has 11 columns and 120 rows<dl class='dl-horizontal'>
<dt>Genotypes</dt><dd>40 genotypes</dd>
<dt>Replication</dt><dd>3 replications</dd>
<dt>DFF</dt><dd>Days to 50 per cent flowering</dd>
<dt>PH</dt><dd>Plant height</dd>
<dt>PL</dt><dd>Panicle length</dd>
<dt>PW</dt><dd>Panicle weight</dd>
<dt>HI</dt><dd>Harvest index</dd>
<dt>TW</dt><dd>Test weight</dd>
<dt>MILL</dt><dd>Milling percentage</dd>
<dt>HRR</dt><dd>Head rice recovery</dd>
<dt>GY</dt><dd>Grain Yield</dd>
</dl>

vardata: Variability Data

Description

Usage

Arguments

Format