Tamanho mínimo de parcela para avaliação de caracteres de raiz em cenoura

Vieira, José Cavalcante Souza; Silva, Giovani Olegário da

doi:10.1590/s0006-87052008000400029

Cited by 9 publications

(7 citation statements)

References 12 publications

(6 reference statements)

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“…These results are similar to those found by Vieira and Silva (2008) and Henriques Neto et al (2009), who indicated that for each situation, crop management, there must be a proper PS, which should not be generalized. This was the case with the various estimation methods.…”

Section: Applicationssupporting

confidence: 91%

Alguns modelos para a estimação do tamanho de parcelas em experimentos

Morais

Villa²,

Gonzales³

et al. 2018

Rev. Bras. Biom.

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A utilização de modelos estatísticos na estimação de tamanho de parcela experimental é prática que contribui no planejamento experimental com escolha de tamanho que propicie melhor eficiência na comparação dos tratamentos. Este trabalho teve por objetivo apresentação de alguns modelos com a finalidade de coloca-los como alternativas na determinação do tamanho ótimo de parcelas em experimentos. Foram propostos alguns modelos não lineares com configuração simples e semelhante à do modelo proposto pela técnica da máxima curvatura modificada, os quais são deriváveis e possuindo função de curvatura. Foi obtida a função de curvatura para cada modelo e por meio do ponto crítico da derivada da função de curvatura obtiveram-se os estimadores do tamanho da parcela. Os modelos se mostraram viáveis para serem utilizados na estimação de tamanho de parcelas com estimadores mais simples do que aquele obtido por Meier e Lessman. Como ilustração, para aplicação da proposta e compará-los com o método da máxima curvatura modificado foram utilizados dados de dois ensaios de uniformidade.

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Section: Applicationssupporting

confidence: 91%

Alguns modelos para a estimação do tamanho de parcelas em experimentos

Morais

Villa²,

Gonzales³

et al. 2018

Rev. Bras. Biom.

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“…According to Oliveira et al (2006) and Vieira & Silva (2008), in order to determine the ideal size of plots, it is important to use more than one methodology, due to the variation that may exist in the estimates of each one. For the coefficient of repeatability, we found that the number of measurements in the plots necessary to predict the true value of the genotypes with coefficient of determination (R2) of 90%, in the mean of the replicates and the methodologies used, it ranged from 9.74 to 13.34, and with R2 of 95% it ranged from 20.56 to 28.15 (Table 1).…”

Section: Resultsmentioning

confidence: 99%

“…For the determination of the minimum number of plants, by the modified maximum curvature method, the expression presented by Chaves (1985) apud Vieira & Silva (2008) was used: N = [a2 b2 (2b-1) / (b-2)]1 / (2 -2 b), where "a" is the regression constant and "b" is the regression coefficient estimated from the adjustment of the model presented by Chaves (1985) apud Vieira & Silva (2008), considering the coefficient of variation and the number of plants per plot.…”

Section: Methodsmentioning

confidence: 99%

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Minimum plot size to evaluate potato tuber yield traits

2017

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The proper plot size is essential to reduce experimental error and thereby maximize precision of data obtained in an experiment. The objective of this work was to estimate the minimum number of plants per plot to assess tuber yield traits of potato genotypes. Four advanced potato clones (F161-07-02, F189-06-09, F97-08-07 and F131-08-06) of the breeding program of Embrapa were evaluated. The experiment was conducted in the fall season of 2015, in Canoinhas, Santa Catarina State, Brazil. A randomized complete block design with two replications of 20-plant two-row plots was used. At 112 days after planting, plants of each plot were individually harvested and evaluated for tuber yield traits. The modified maximum curvature and the repeatability methods were used to estimate the minimum plant number to represent the genotypes in each plot. We found that 10 to 14 plants per plot are enough to guarantee an adequate precision and predict the real value of the individuals for tuber yield traits in experiments of two replications, considering an R2 of 90% for the repeatability method.

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“…The number of replications and/or, the ideal plot size to estimate genetic parameters or compare progenies and/or cultivars, were also investigated and satisfactorily determined, varying with the crop and trait considered (Storck et al 2007, Vieira and Silva 2008, Leite et al 2009, Cargnelutti Filho et al 2010, Silva et al 2011, Storck et al 2011and Cargnelutti Filho et al 2012). …”

Section: Introductionmentioning

confidence: 99%