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Bayesian estimation of heritability and genetic gain for subsets of genotypes evaluated in a larger set of genotypes in a block design

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Title Bayesian estimation of heritability and genetic gain for subsets of genotypes evaluated in a larger set of genotypes in a block design
 
Creator Omer, S O
Abdalla, A H
Ceccarelli, S
Grando, S
Singh, M
 
Subject Genetics and Genomics
 
Description There are situations in which a number of inbred lines are found grouped into classes, depending on their origin
and phenology. Interest in such situations lies in the estimation of genotypic variations between the genotypes from
individual groups, whereas all genotypes are evaluated in a single trial conducted in a randomized complete block
design (RCBD) or an incomplete block design (IBD). The objective of this study was to apply a Bayesian approach
to estimate genotypic variation, heritability, and genetic advances within individual groups of groups of genotypes.
A set of 360 barley genotypes were evaluated in a two replicate alpha-design with blocks of 10 plots each. The
standard frequentist method to estimate variance components was carried out by the restricted maximum likelihood
method on the days to flower data from the IBD as well as by an RCBD by ignoring the incomplete blocks. The
Bayesian approach with selection of best priors was implemented for the estimation. We noticed a substantial
difference in the estimates of the various genetic parameters across the groups. The estimation of variations between
the genotypes from individual groups (RCBD or IBD) is needed as the basis of many agricultural research or plant
breeding/agronomy trials. The Bayesian approach uses broader inference framework to integrate the prior
information on parameters with the likelihood of the current data. Therefore, the Bayesian approach presented here
for estimation of heritability and genetic gain for subsets of genotypes evaluated in a larger set of genotypes in the
block design is recommended for use in similar situations.
 
Publisher Pelagia Research Library
 
Date 2014
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Rights —
 
Identifier http://oar.icrisat.org/9740/1/EJEB-2014-4-3-566-575.pdf
Omer, S O and Abdalla, A H and Ceccarelli, S and Grando, S and Singh, M (2014) Bayesian estimation of heritability and genetic gain for subsets of genotypes evaluated in a larger set of genotypes in a block design. European Journal of Experimental Biology, 04 (03). pp. 566-575. ISSN 2248-9215