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Souza,Emanuel Fernando Maia de; Peternelli,Luiz Alexandre; Barbosa,Márcio Henrique Pereira. |
The objective of this work was to compare the relative efficiency of initial selection and genetic parameter estimation, using augmented blocks design (ABD), augmented blocks twice replicated design (DABD) and group of randomised block design experiments with common treatments (ERBCT), by simulations, considering fixed effect model and mixed model with regular treatment effects as random. For the simulations, eight different conditions (scenarios) were considered. From the 600 simulations in each scenario, the mean percentage selection coincidence, the Pearsons´s correlation estimates between adjusted means for the fixed effects model, and the heritability estimates for the mixed model were evaluated. DABD and ERBCT were very similar in their comparisons... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Augmented design; Incomplete block; Selection; Heritability; Sugarcane; Stochastic simulation. |
Ano: 2006 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2006000300001 |
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Santos,Aladir Horacio; Bearzoti,Eduardo; Ferreira,Daniel Furtado; Silva Filho,João Luís da. |
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,... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Augmented design; Mixed model; Molecular marker. |
Ano: 2002 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162002000300012 |
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