TAILIEUCHUNG - báo cáo khoa học: "Prediction of genetic merit from data on binary and quantitative variates with an application to calving difficulty, birth weight and pelvic opening"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Prediction of genetic merit from data on binary and quantitative variates with an application to calving difficulty, birth weight and pelvic opening | Génét. Sél. Evol. 1983 15 3 401-424 Prediction of genetic merit from data on binary and quantitative variates with an application to calving difficulty birth weight and pelvic opening . FOULLEY D. GIANOLA and R. THOMPSON . Station de Génétịqụe quantitative et appliqụée Centre de Recherches zootechniques F 783ĨỌ Jouy-en-Josas Department of Animal Science University of Illinois Urbana Illinois 61801 . . Unit of Statistics University of Edinburgh Mayfield Road Edinburgh EH9 3JZ Scotland Summary A method of prediction of genetic merit from jointly distributed quanta and quantitative responses is described. The probability of response in one of two mutually exclusive and exhaustive categories is modeled as a non-linear function of classification and risk variables. Inferences are made from the mode of a posterior distribution resulting from the combination of a multivariate normal density a priori and a product binomial likelihood function. Parameter estimates are obtained with the Newton-Raphson algorithm which yields a system similar to the mixed model equations. Nested Gauss-Seidel and conjugate gradient procedures are suggested to proceed from one iterate to the next in large problems. A possible method for estimating multivariate variance covariance components involving jointly the categorical and quantitative variates is presented The methọd was applied to prediction of calving difficulty as a binary variable with birth weight and pelvic opening as risk variables in a Blonde d Aquitaine population. Key-words sire evaluation categorical data non-linear models prediction Bayesian methods. Resume Prediction génétique à partir de données binaires et continues application aux difficultes de vêlage poids à la naissance et ouverture pelvienne. Cet article présente une methode de prediction de la valeur génétique à partir d observations quantitatives et qualitatives. La probabilite de réponse selon 1 une des deux modalites exclusives et .

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