2019
DOI: 10.9734/jeai/2019/v31i630090
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Optimum Size and Shape of Experimental Units for Cassava Cropping

Abstract: In agricultural experimentation, the right size and shape of experimental units increase the precision of the experiment. This study determines the optimum size and shape of the experimental unit for field experimentation with cassava. For this, we carried out a uniformity test in Pacajús, Ceará, under dry conditions, with the cultivar 'Mastruço' planted at a spacing of 1.00 m x 0.60 m. The root yields were collected in 15 rows with 40 plants each, comprising 31 types of experimental units of 23 different pre-… Show more

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Cited by 3 publications
(7 citation statements)
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“…It was verified that the CV was the factor that most influenced the convenient size of the plot, because there were considerable increments in the convenient size of the plot estimated with the increase in CV, for any combination of d, I and r. These results are similar to those obtained by Muniz et al (2009), Oliveira et al (2011), Silva (2009, Sousa, Silva and Assis (2016) and Assis et al (2019), with eucalyptus, candeia [Eremanthus erythropappus], melon, sunflower and cassava, respectively.…”
Section: Resultssupporting
confidence: 79%
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“…It was verified that the CV was the factor that most influenced the convenient size of the plot, because there were considerable increments in the convenient size of the plot estimated with the increase in CV, for any combination of d, I and r. These results are similar to those obtained by Muniz et al (2009), Oliveira et al (2011), Silva (2009, Sousa, Silva and Assis (2016) and Assis et al (2019), with eucalyptus, candeia [Eremanthus erythropappus], melon, sunflower and cassava, respectively.…”
Section: Resultssupporting
confidence: 79%
“…Significant reductions in the convenient plot sizes were observed with the increase in the number of replicates, while d, I and CV were kept fixed. This confirms the effect of increasing the number of replicates on the improvement of experimental precision (Silva 2009;Stork et al 2007;Silva and Assis 2016;Assis et al 2019), which promotes greater efficiency in the use of small plots associated with a greater number of replicates, to detect lower percentage differences between cultivars, compared to the use of larger plots with a smaller number of replicates (Silva 2009;Silva andAssis 2016 andAssis et al 2019).…”
Section: Resultssupporting
confidence: 58%
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“…The maximum curvature method determines the optimal plot area that will ensure that the experimental data are representative [8][9][10]. Some scholars combined mathematical statistics formulae with Smith's empirical formula for soil heterogeneity, and thus developed a formula for determining the most appropriate area of the experiment plot, referred to as the Hatheway method, which takes the number of experimental repetitions and applies it to tomato, sunflower, cassava, papaya, and other crops [11][12][13][14]. Both methods have their advantages and disadvantages.…”
Section: Introductionmentioning
confidence: 99%
“…pequeno, mas depois que esta atinge tamanho adequado, se ganha pouco em precisão pelo aumento do tamanho da parcela com o incremento de mais área à esta parcela. Vários pesquisadores(Henriques Neto et al, 2004; Donato et al, 2008; Oliveira et al, 2011, Sousa;Silva;Assis, 2016;Sousa et al, 2018;Assis et al 2019), avaliando diferentes tamanhos de parcelas, relataram que o CV diminuí com o aumento do tamanho da parcela, mas ao se atingir o tamanho ótimo, o ganho em precisão reduz rapidamente com o acréscimo de mais área à parcela. Tabela 1.…”
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