2014
DOI: 10.1590/0100-2945-396/13
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Tamanho ótimo da parcela experimental de abacaxizeiro 'Vitória'

Abstract: , REJANE MARIA NUNES MENDONÇA 6 resumo -No planejamento experimental, a parcela experimental é um fator determinante para o sucesso da pesquisa. Portanto, é necessário que o pesquisador defina adequadamente a constituição da parcela ou unidade experimental, no intuito de aumentar a eficiência do experimento e diminuir o erro experimental. Em decorrência da grande variabilidade no tamanho da parcela encontrada nos experimentos com abacaxizeiro, realizou-se uma pesquisa objetivando estimar o tamanho ótimo para p… Show more

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Cited by 13 publications
(14 citation statements)
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“…Studies by determination of the plot size can be made for various environment as the field (CARGNELUTTI FILHO et al, 2014;LEONARDO et al, 2014), laboratory (PEIXOTO et al, 2011;MORAIS et al, 2014) and in the nursery (CIPRIANO et al, 2012;FIRMINO et al, 2012). In studies with production of papaya, in tubes, in nursery, useful portion sizes follow an arbitrary, given the inexistence of plot dimensioning studies.…”
Section: Introductionmentioning
confidence: 99%
“…Studies by determination of the plot size can be made for various environment as the field (CARGNELUTTI FILHO et al, 2014;LEONARDO et al, 2014), laboratory (PEIXOTO et al, 2011;MORAIS et al, 2014) and in the nursery (CIPRIANO et al, 2012;FIRMINO et al, 2012). In studies with production of papaya, in tubes, in nursery, useful portion sizes follow an arbitrary, given the inexistence of plot dimensioning studies.…”
Section: Introductionmentioning
confidence: 99%
“…Research to determine the optimum plot size in the field were performed for several crops, such as abacaxi (LEONARDO et al, 2014), passion fruit (STORCK et al, 2014), canola (CARGNELUTTI FILHO et al, 2015), sunflower (SOUZA et al, 2015), among others.…”
Section: Introductionmentioning
confidence: 99%
“…For the grouping of the pair numbers of tasters and their respective coefficients of variation [ , CV( )], we used the bootstrap method, where 1000 sample simulations were performed with 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 tasters [13].…”
Section: Ideal Number Of Tastersmentioning
confidence: 99%