Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/997159
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dc.contributor.authorCOLOMBARI FILHO, J. M.pt_BR
dc.contributor.authorGERALDI, I. O.pt_BR
dc.date.accessioned2014-10-13T11:11:11Zpt_BR
dc.date.available2014-10-13T11:11:11Zpt_BR
dc.date.created2014-10-13pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationCrop Breeding and Applied Biotechnology, v. 14, n. 2, p. 71-75, 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/997159pt_BR
dc.descriptionIn plant breeding programs, the knowledge about the appropriate sample size for the evaluation of populations is very important. A small sample reduces the chance of selecting superior genotypes, whereas a very large sample may lead to unnecessary increases in cost and labor. A population consisting of 192 soybean lines was divided in groups of 24 lines, which were assessed for grain yield in eight randomized complete block experiments. Analyses of variance were performed for each experiment as well as for groups of experiments, resulting in analyses of variance consisting of 24, 48, 72, 96, 120, 144, 168, and 192 lines. As the sample size increased, the width of confidence intervals of parameter estimates decreased, stabilizing with samples of 144 lines. Therefore, an appropriate sample size for the evaluation of soybean inbred populations should contain about 150 lines.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectIntervalo de confiançapt_BR
dc.subjectPrecisão de estimativa de parâmetropt_BR
dc.titleSample size for the assessment of soybean inbred populations.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2014-10-13T11:11:11Zpt_BR
dc.subject.thesagroSojapt_BR
dc.subject.thesagroMelhoramento genético vegetalpt_BR
dc.subject.thesagroHereditariedadept_BR
dc.subject.thesagroVariação genéticapt_BR
riaa.ainfo.id997159pt_BR
riaa.ainfo.lastupdate2014-10-13pt_BR
dc.identifier.doi10.1590/1984-70332014v14n2a13pt_BR
dc.contributor.institutionJOSE MANOEL COLOMBARI FILHO, CNPAF; ISAIAS OLIVIO GERALDI, ESALQ.pt_BR
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