About: Rohan Fernando (geneticist)     Goto   Sponge   NotDistinct   Permalink

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Rohan L. Fernando (born January 19, 1952) is a Sri Lankan American geneticist who is a professor of quantitative genetics in the Department of Animal Science at Iowa State University (ISU), US. Fernando's efforts have focused primarily on theory and methods for use of genetic markers in breeding, theory and methods for genetic evaluations of crossbred animals, methodology related to the estimation of genetic parameters and the prediction of genetic merit in populations undergoing selection and non-random mating, Bayesian methodology for analysis of unbalanced mixed model data, optimization of breeding programs, and use of computer simulation to study dynamics of genetic system.

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  • Rohan Fernando (geneticist) (en)
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  • Rohan L. Fernando (born January 19, 1952) is a Sri Lankan American geneticist who is a professor of quantitative genetics in the Department of Animal Science at Iowa State University (ISU), US. Fernando's efforts have focused primarily on theory and methods for use of genetic markers in breeding, theory and methods for genetic evaluations of crossbred animals, methodology related to the estimation of genetic parameters and the prediction of genetic merit in populations undergoing selection and non-random mating, Bayesian methodology for analysis of unbalanced mixed model data, optimization of breeding programs, and use of computer simulation to study dynamics of genetic system. (en)
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  • Rohan L. Fernando (en)
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  • Rohan L. Fernando (en)
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  • Animal breeding (en)
  • Quantitative genetics (en)
  • Statistical genetics (en)
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  • Sri Lankan (en)
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  • Rohan L. Fernando (born January 19, 1952) is a Sri Lankan American geneticist who is a professor of quantitative genetics in the Department of Animal Science at Iowa State University (ISU), US. Fernando's efforts have focused primarily on theory and methods for use of genetic markers in breeding, theory and methods for genetic evaluations of crossbred animals, methodology related to the estimation of genetic parameters and the prediction of genetic merit in populations undergoing selection and non-random mating, Bayesian methodology for analysis of unbalanced mixed model data, optimization of breeding programs, and use of computer simulation to study dynamics of genetic system. (en)
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