Simulation of mixed models in augmented block design

Scientia Agricola

Aladir Horacio Santos²  Eduardo Bearzoti¹  Daniel Furtado Ferreira¹  João Luís Da Silva Filho¹ 

[1] ,FUOM Faculdade de Filosofia Departamento de Ciências ExatasFormiga MG

关键词: augmented design;    mixed model;    molecular marker;    delineamento aumentado;    modelo misto;    marcador molecular;   

DOI  :  10.1590/S0103-90162002000300012

来源: SciELO

【 摘 要 】

The augmented block design is widely used in breeding programs, with non-replicated treatments generally being selection units, and replicated treatments being standard cultivars. Originally, an intrablock analysis (fixed model) was proposed. Although non-replicated treatments and/or blocks can be considered of random nature, mixed linear models could be used instead. This work evaluated such an approach, using computer simulation. Populations consisted of sets of randomly generated inbred lines. Molecular marker data were also simulated to allow the estimation of the genetic covariance matrix. Different conditions were considered, varying heritability and the coefficient b of Smith of soil heterogeneity. For each condition 100 simulations were performed, considering four linear models, varying respectively the nature of the effects of blocks and non-replicated treatments (fixed - F, or random - R): FF, FR, RF and RR. In relation to FF, the mixed models were more efficient under low to intermediate heritability and high b. Mixed models could improve inference in breeding programs using the augmented block design and the choice of the model should rely on the kind of selection. If this is truncated, the RF model should be preferred; if it is not, then the RR model would be more suitable.

【 授权许可】

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