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Titolo: THE BETABINOMIAL MODEL FOR ESTIMATING HERITABILITIES OF BINARY TRAITS
Autore: MAGNUSSEN S; KREMER A;
 Indirizzi:
 FORESTRY CANADA,PETAWAWA NATL FORESTRY INST,NAT RESOURCES CANADA CHALK RIVER ON K0J 1J0 CANADA INRA,AMELORAT ARBRES FORESTIERES LAB F33610 CESTAS FRANCE
 Titolo Testata:
 Theoretical and Applied Genetics
fascicolo: 3,
volume: 91,
anno: 1995,
pagine: 544  552
 SICI:
 00405752(1995)91:3<544:TBMFEH>2.0.ZU;2K
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 GENETIC EVALUATION; CATEGORICALDATA; PREDICTION; COMPONENTS;
 Keywords:
 SIMULATION; GENETIC RESPONSE; FAMILY MEAN HERITABILITY; SIB ANALYSIS;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Science Citation Index Expanded
 Citazioni:
 25
 Recensione:
 Indirizzi per estratti:



 Citazione:
 S. Magnussen e A. Kremer, "THE BETABINOMIAL MODEL FOR ESTIMATING HERITABILITIES OF BINARY TRAITS", Theoretical and Applied Genetics, 91(3), 1995, pp. 544552
Abstract
Calculations of individual narrowsense heritability and family mean heritability of a binary trait in stochastically simulated sib trials in completely randomized block experiments showed that in some situations estimates of ''realized'' heritabilities obtained from the mixed linear threshold model could be improved by application of a proposed betabinomial model. The proposed model adopts the betabinomial as theconjugateprior for the distribution of probabilities of observing the binary trait in a genetic entry. Estimation of the beta parameters allows an estimation of selection response and, by linkage to a threshold model for the individual observations, the desired heritabilities can be obtained. The average bias in the betabinomial estimates of heritability and family mean heritability was less than 2%. Improvements over existing procedures were especially manifest at heritabilities above 0.3 and at low overall probabilities of observing the trait (p < 0.30). The lowest root mean square errors were consistently obtained with the algorithm proposed by Harville and Mee (1984). The betabinomial framework, although restricted to a single random additive genetic effect, further facilitates general analysis, estimation of selection response, and calculation of reliable family mean heritability. Intraclass correlations can be estimated directly from the betabinomial parameters.
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Documento generato il 30/11/20 alle ore 16:11:12