Approches statistiques de l'évaluation génétique des reproducteurs pour des caractères binaires à seuils

Abstract

(1985)(1986)(1987) (Gianola, 1982;Foulley, 1987;Im et al, 1987;Foulley et al, 1990a (Fraser, 1980). Wright (1943a,b) (Meijering, 1984(Meijering, , 1986Djemali et al, 1987; Quaas et al, 1988;Hagger et Hoffer, 1990;Manfredi et al, 1991aManfredi et al, , 1991b, la taille de portée et la survie des agneaux (Petersson et Danell, 1985;Bodin et Elsen, 1989), La gémellité des bovins (Manfredi et al, 1990(Manfredi et al, , 1991c Ron et al, 1990), la morphologie des pieds (Gilmour et al, 1987) (Brillinger, 1985), à la théorie des sondages (Grosbas, 1987), à la psychologie, aux sciences sociales (Hammerle, 1990)

Prediction of complex traits: Conciliating genetics and statistics

“…This more general Bayesian view enriched the possibilities for genetic prediction as other distributional assumptions may be necessary for particular problems. For instance, genetic evaluation for categorical data was problematic mainly because estimates of parameters and frequencies of classes are functionally related (Foulley & Manfredi, 1991). Assuming the threshold model of Sewall Wright, where genetic and environmental effects influence an unobservable continuous phenotypic value underlying the observed categories, Daniel Gianola collaborated with INRA researchers in France to propose a Bayesian method which has been successfully applied to genetic evaluation of categorical traits, including maternal and foetal effects (Gianola & Foulley, 1983).…”