2013
DOI: 10.1590/s1984-70332013000300001
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Optimizing the number of progenies and replications in plant breeding experiments

Abstract: -A determination criterion was proposed for the number of replications, r, and of evaluated progenies, N r , given P experimental plots, with N r

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Cited by 5 publications
(2 citation statements)
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“…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). In the present study, the analysis was performed with interblock and intergenotypic information recovery.…”
Section: Resultsmentioning
confidence: 99%
“…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). In the present study, the analysis was performed with interblock and intergenotypic information recovery.…”
Section: Resultsmentioning
confidence: 99%
“…The second subexperiment used 300 plant-sized selfing populations, with 15% of the total population serving as the representative samples. Sample sizes and sampling design for quantitative measurement followed the method by Gomez and Gomez (1984) and Filho (2013), whereas qualitative data collection progressed on all plants in the populations.…”
Section: Methodsmentioning
confidence: 99%