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OPTeCD  

Optimal Partial Tetra-Allele Cross Designs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OPTeCD", "1.0.0")



Attach the package and use:
library("OPTeCD")
Maintained by
Ashutosh Dalal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-15
Latest Update: 2024-11-15
Description:
Tetra-allele cross often referred as four-way cross or double cross or four-line cross are those type of mating designs in which every cross is obtained by mating amongst four inbred lines. A tetra-allele cross can be obtained by crossing the resultant of two unrelated diallel crosses. A common triallel cross involving four inbred lines A, B, C and D can be symbolically represented as (A X B) X (C X D) or (A, B, C, D) or (A B C D) etc. Tetra-allele cross can be broadly categorized as Complete Tetra-allele Cross (CTaC) and Partial Tetra-allele Crosses (PTaC). Rawlings and Cockerham (1962)<doi:10.2307/2527461> firstly introduced and gave the method of analysis for tetra-allele cross hybrids using the analysis method of single cross hybrids under the assumption of no linkage. The set of all possible four-way mating between several genotypes (individuals, clones, homozygous lines, etc.) leads to a CTaC. If there are N number of inbred lines involved in a CTaC, the the total number of crosses, T = N*(N-1)*(N-2)*(N-3)/8. When more number of lines are to be considered, the total number of crosses in CTaC also increases. Thus, it is almost impossible for the investigator to carry out the experimentation with limited available resource material. This situation lies in taking a fraction of CTaC with certain underlying properties, known as PTaC.
How to cite:
Ashutosh Dalal (2024). OPTeCD: Optimal Partial Tetra-Allele Cross Designs. R package version 1.0.0, https://cran.r-project.org/web/packages/OPTeCD. Accessed 24 Oct. 2026.
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Complete documentation for OPTeCD
Functions, R codes and Examples using the OPTeCD R package
Full OPTeCD package functions and examples
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