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Bayesian estimation of genotypic and phenotypic correlations from crop variety trials

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Title Bayesian estimation of genotypic and phenotypic correlations from crop variety trials
 
Creator Omer, Siraj Osman
 
Contributor Wahab, Abdel
Mohammed, Mohammed H.
Singh, Murari
 
Subject genotypic correlation
selection indices
bayesian estimation
genotypic and phenotypic correlations
r2winbugs
 
Description Genotypic and phenotypic correlations are necessary for constructing indirect selection indices. Bayesian analysis,
therefore, was applied to obtain posterior distributions of the correlations, and the estimates were compared with those under a
frequentist approach. Three a priori distributions for standard deviation components based on uniform distribution, positive values
from t- distribution, and positive values from normal distribution were examined, while a priori distribution for correlation was taken
as a uniform distribution. The prior based on uniform was best found using the deviation information criterion. Data from sorghum
genotypes evaluated in complete blocks in 2010-2011 in Northern Kordofan, Sudan, resulted in a posterior mean of 0.48 for genotypic
correlation between seed yield and seed weight with posterior standard deviation of 0.24. Due to a wider inference base and the fact
that it makes use of prior information, we recommend the Bayesian approach in estimation of genotypic correlations.
Key words: Bayesian estimation, genotypic and phenotypic correlations, heritability, R2WinBUGS.
 
Date 2016-03-31
2016-05-10T09:10:05Z
2016-05-10T09:10:05Z
 
Type Journal Article
 
Identifier https://www.crcpress.com/Applied-Mathematics-and-Omics-to-Assess-Crop-Genetic-Resources-for-Climate/Bari-Damania-Mackay-Dayanandan/9781498730136
https://mel.cgiar.org/reporting/download/hash/9NZizIrv
Siraj Osman Omer, Abdel Wahab, Mohammed H. Mohammed, Murari Singh. (31/3/2016). Bayesian estimation of genotypic and phenotypic correlations from crop variety trials. Crop Breeding and Applied Biotechnology, 16 (1), pp. 14-21.
https://hdl.handle.net/20.500.11766/4757
Open access
 
Language en
 
Rights CC-BY-NC-4.0
 
Format PDF
 
Publisher Brazilian Society of Plant Breeding
 
Source Crop Breeding and Applied Biotechnology ;16,11 (2016) Pagination 14,21