data

This dataset contains information used for constructing a selection index.

datasets

Selection index is one of the efficient and acurrate method for selection of animals. This package is useful for construction of selection indices.
It uses mixed and random model least squares analysis to estimate the heritability of
traits and genetic correlation between traits. The package uses the sire model as it is considered as
random effect. The genetic and phenotypic (co)variances along with the relative economic values are
used to construct the selection index for any number of traits. It also estimates the accuracy of the
index and the genetic gain expected for different traits. Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>.

Raja TV

seliNDRIx

Construction of Selection Index

Alex Rani

Gowane Gopal

Vohra Vikas

data function

A data frame with 689 rows and 7 columns:<dl>
 <dt>animal</dt>
<dd>The animal id</dd> <dt>sire</dt>
<dd>Sire of the cows</dd> <dt>farm</dt>
<dd>Farm from which the data were collected</dd> <dt>soc</dt>
<dd>The season of calving of a cow</dd> <dt>poc</dt>
<dd>The period of calving of a cow</dd> <dt>tmy</dt>
<dd>Total lactation milk yield in Kg</dd> <dt>py</dt>
<dd>The peak yield in Kg</dd> <dt>fatyield</dt>
<dd>The average fat yield</dd>
</dl>

Format

Data set for construction of selection index — data

A data frame with 689 rows and 7 columns:<dl>
 <dt>animal</dt>
<dd>The animal id</dd>

 <dt>sire</dt>
<dd>Sire of the cows</dd>

 <dt>farm</dt>
<dd>Farm from which the data were collected</dd>

 <dt>soc</dt>
<dd>The season of calving of a cow</dd>

 <dt>poc</dt>
<dd>The period of calving of a cow</dd>

 <dt>tmy</dt>
<dd>Total lactation milk yield in Kg</dd>

 <dt>py</dt>
<dd>The peak yield in Kg</dd>

 <dt>fatyield</dt>
<dd>The average fat yield</dd>


</dl>

data: Data set for construction of selection index

Description

Usage

Arguments

Format