2009
DOI: 10.1590/s0103-84782009005000209
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Delineamentos aumentados no melhoramento de plantas em condições de restrições de recursos

Abstract: This study aimed to compare the efficiency in the selection of genotypes and the quality of the estimates of the variance components and heritability using the augmented block designs (ABD), the duplicated augmented block designs (DABD) and the group of randomized blocks design experiments with common treatments (ERBCT). For comparison, it was imposed a condition that the number of genotypes under

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Cited by 13 publications
(10 citation statements)
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“…On this point, the evaluation and empirical selection of partially inbred lines is a viable alternative to reduce the number of families throughout the study, saving resources. Another way is the use of designs that make it possible to efficiently evaluate a number of genetic materials, even with restriction of resources and/or genetic material (Peternelli et al, 2009;Ribeiro et al, 2016). The augmented block design allows evaluating the treatments with only one replication in the experiment, enabling the evaluation of a large number of treatments; consequently, it is of great importance for the plant breeding programs.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…On this point, the evaluation and empirical selection of partially inbred lines is a viable alternative to reduce the number of families throughout the study, saving resources. Another way is the use of designs that make it possible to efficiently evaluate a number of genetic materials, even with restriction of resources and/or genetic material (Peternelli et al, 2009;Ribeiro et al, 2016). The augmented block design allows evaluating the treatments with only one replication in the experiment, enabling the evaluation of a large number of treatments; consequently, it is of great importance for the plant breeding programs.…”
Section: Introductionmentioning
confidence: 99%
“…The augmented block design allows evaluating the treatments with only one replication in the experiment, enabling the evaluation of a large number of treatments; consequently, it is of great importance for the plant breeding programs. At first, it was developed for the sugarcane breeding, but it has been used successfully in other crops (Federer, 1956;Peternelli et al, 2009;Arnhold et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…In the original augmented block design, the environmental variance was completely estimated based on the controls, because the regular genotypes were nonreplicated in the trial. Note that the use of this design is common in initial stages of breeding cycles, primarily because of the high number of genotypes and restricted resources (Peternelli, Souza, Barbosa, & Carvalho, 2009;Prado et al, 2013). However, this design might result in selective gains, and the accuracy might be improved with the use of spatial analysis and intereffect recovery (Silva Filho, 2013;Rodriguez-Álvarez, Boer, van Eeuwijk, & Eilers, 2018).…”
Section: Resultsmentioning
confidence: 99%
“…High coefficients of variation are frequently obtained for severity assessments (Pierozzi, 2007;Rachid, 2008;Ribeiro, 2009;Melo et al, 2015). Moreover, comparisons between different designs show that the coefficient of variation tends to be higher in the augmented block design (Oliveira, 1993;Bearzoti et al, 1997;Aguiar et al, 2000;Duarte et al, 2001;Peternelli et al, 2009).…”
Section: Discussionmentioning
confidence: 99%