Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
SOLUTION OF MULTIPLE TRAIT ANIMAL-MODELS WITH MISSING DATA ON SOME TRAITS
Autore:
DUCROCQ V; BESBES B;
Indirizzi:
INRA,GENET QUANTITAT & APPL STN F-78352 JOUY EN JOSAS FRANCE
Titolo Testata:
Journal of animal breeding and genetics
fascicolo: 2, volume: 110, anno: 1993,
pagine: 81 - 92
SICI:
0931-2668(1993)110:2<81:SOMTAW>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
EQUAL DESIGN MATRICES; MIXED MODEL; BREEDING VALUES; MAXIMUM-LIKELIHOOD; EQUATIONS; SELECTION; TRANSFORMATION; MULTITRAIT;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
30
Recensione:
Indirizzi per estratti:
Citazione:
V. Ducrocq e B. Besbes, "SOLUTION OF MULTIPLE TRAIT ANIMAL-MODELS WITH MISSING DATA ON SOME TRAITS", Journal of animal breeding and genetics, 110(2), 1993, pp. 81-92

Abstract

In multiple trait animal model evaluations, several transformations (canonical, triangular, combined) can be used to decrease the size of the mixed model equations or to increase their sparsity. A simple method based on an EM argument and re lacing missing records by their expectation given the current parameters allows the use of the canonical transformation in situations where data are missing and selection is ignorable. The convergence behavior of these different approaches were compared on real data sets simulating different missing patterns. The combined transformation is always better than the triangular transformation. The extended version of the canonical transformation clearly leads to the fastest convergence, in terms of overall CPU time, especiallywhen a reduced animal model is used (2 to 3 times faster than the triangular transformation) and when more traits are considered simultaneously.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 04/12/20 alle ore 13:04:27