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PolycrossDesigns  

Polycross Designs ("PolycrossDesigns")
View on CRAN: Click here


Download and install PolycrossDesigns package within the R console
Install from CRAN:
install.packages("PolycrossDesigns")

Install from Github:
library("remotes")
install_github("cran/PolycrossDesigns")

Install by package version:
library("remotes")
install_version("PolycrossDesigns", "1.1.0")



Attach the package and use:
library("PolycrossDesigns")
Maintained by
Ashutosh Dalal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-19
Latest Update: 2022-10-21
Description:
A polycross is the pollination by natural hybridization of a group of genotypes, generally selected, grown in isolation from other compatible genotypes in such a way to promote random open pollination. A particular practical application of the polycross method occurs in the production of a synthetic variety resulting from cross-pollinated plants. Laying out these experiments in appropriate designs, known as polycross designs, would not only save experimental resources but also gather more information from the experiment. Different experimental situations may arise in polycross nurseries which may be requiring different polycross designs (Varghese et. al. (2015) . " Experimental designs for open pollination in polycross trials"). This package contains a function named PD() which generates nine types of polycross designs suitable for various experimental situations.
How to cite:
Ashutosh Dalal (2022). PolycrossDesigns: Polycross Designs ("PolycrossDesigns"). R package version 1.1.0, https://cran.r-project.org/web/packages/PolycrossDesigns
Previous versions and publish date:
1.0.0 (2022-10-19 20:27)
Other packages that cited PolycrossDesigns R package
View PolycrossDesigns citation profile
Other R packages that PolycrossDesigns depends, imports, suggests or enhances
Functions, R codes and Examples using the PolycrossDesigns R package
Some associated functions: PD . 
Some associated R codes: PD.R .  Full PolycrossDesigns package functions and examples
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