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dc.contributorWahab, Abdelen_US
dc.contributorMohammed, Mohammed H.en_US
dc.contributorSingh, Murarien_US
dc.creatorOmer, Siraj Osmanen_US
dc.identifier.citationSiraj 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.en_US
dc.description.abstractGenotypic 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.en_US
dc.publisherBrazilian Society of Plant Breedingen_US
dc.sourceCrop Breeding and Applied Biotechnology ;16,11 (2016) Pagination 14,21en_US
dc.subjectgenotypic correlationen_US
dc.subjectselection indicesen_US
dc.subjectbayesian estimationen_US
dc.subjectgenotypic and phenotypic correlationsen_US
dc.titleBayesian estimation of genotypic and phenotypic correlations from crop variety trialsen_US
dc.typeJournal Articleen_US
cg.creator.idSingh, Murari: 0000-0001-5450-0949en_US
cg.contributor.centerAgricultural Research Corporation - ARC Sudanen_US
cg.contributor.centerUniversity of Khartoum - UofKen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCRP on Grain Legumes - GLen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectBiometrics and Statistics Sectionen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionWestern Asiaen_US
dc.identifier.statusOpen accessen_US

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