Welcome to the “BayesDiallel” R-package: software designed to provide parameter confidence measures for the many possible interpreative models of phenotypes generated by a diallel experiment1. This package provides a mostly-automated method for converting diallel phenotype measurements to Bayesian Gibbs-sampled model fits of the data, generating posterior-confidence measures and prediction plot...

The classic diallel takes a set of parents and produces offspring from all possible mating pairs. Phenotype values among the offspring can then be related back to their respective parentage. When the parents are diploid, sexed, and inbred, the diallel can characterize aggregate effects of genetic background on a phenotype, revealing effects of strain dosage, heterosis, parent of origin, epistas...

To evaluate superior hybrid combinations, biometric techniques based on the quantification of heterosis as in the diallel analyses and predictive procedures are commonly being used. Diallel analyses have the disadvantage of requiring the evaluation of each parent in all possible combinations, which may be impossible in the case of studies involving many parents. The predictive methods which dis...

The robustness of universal optimal binary balanced block (BBB) designs for diallel crosses has been investigated for the loss of any t (~1) observations (crosses) in a single block as per connectedness and A-efficiency criteria. It is observed that all the BBB designs for diallel crosses with the minimum eigenvalue strictly greater than 2 are robust as per connectedness criterion. Further A-ef...

Eight winter rapeseed genotypes GA096, Geronimo, Okapi, Orient, Sunday, Zarfam, SW0756, and Modena were used as parents of a complete diallel mating design. A set of 56 diallel F1 hybrids (with reciprocals) including their parents were evaluated in a 8×8 simple lattice design with two replications during 2007/08. Several agronomic traits like Plant height, number of lateral branches per pod, nu...