Persistência do plano experimental em ensaios de avaliação de germoplasma elite de feijão

Storck, Lindolfo; Ribeiro, Nerinéia Dalfollo; Lopes, Sidinei José; Filho, Alberto Cargnelutti; Carvalho, Marcelo; Jost, Evandro

doi:10.1590/s0103-84782007000600007

Cited by 6 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…From the results presented in Table 4 we deduce, larger changes in the optimum plot size with changes of d and J than with changes of I, as observed by other researchers with different crops (Storck et al, 2007;Cargnelutti Filho et al, 2014;Souza et al, 2015). The results showed that Lin and Binns (1984) and Hatheway (1984) methods should be used together as observed by Storck et al (2007Storck et al ( , 2009.…”

Section: Resultssupporting

confidence: 79%

“…The results showed that Lin and Binns (1984) and Hatheway (1984) methods should be used together as observed by Storck et al (2007Storck et al ( , 2009. The results of the present Table 4.…”

Section: Resultssupporting

confidence: 60%

“…The method proposed by Lin and Binns (1984) is used to estimate intra-block correlation and heterogeneity index, which is easier to perform than the methods involving blank assays. This method is commonly used in conjunction with Hatheway's method to determine optimum plot size in experiments involving the evaluation of genotypes as has been assayed in bean (Storck et al, 2007) and soybean (Storck et al, 2009). Khan et al (2017) mention that, Hatheway's method is one of the best options for calculating the size of the plot, since this method determines the optimum plot size considering the experimental design, the number of treatments, the coefficient of variation, the expected difference between treatments and the number of replicates (Alves and Seraphim, 2004).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimum plot size for experiments with papaya genotypes in field

Schmildt¹,

Nascimento²,

Nascimento³

et al. 2018

Afr. J. Agric. Res.

View full text Add to dashboard Cite

The objective of this study was to determine a suitable plot size for field experiments with papaya genotypes. Two experiments were carried out using a randomized complete block design with 11 and 12 papaya genotypes, respectively. In both experiments, plots consisted of one row, with 10 plants each. Spacing between rows was 3.5 m, with 1.5 m between plants. The characteristic evaluated was fruit production in t ha -1 in first year of cultivation, and the basic unit used was one plant. Suitable plot size was estimated using Lin and Binns, and Hatheway's methods. These methods are complementary and should be used together in the determination of the optimum plot size. The results of these tests showed that the optimum plot size for the evaluation of yield in papaya was four plants by plot with four replications each assuming 30% of the precision for establishing differences among the means of two genotypes.

show abstract

Section: Resultssupporting

confidence: 79%

Section: Resultssupporting

confidence: 60%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimum plot size for experiments with papaya genotypes in field

Schmildt¹,

Nascimento²,

Nascimento³

et al. 2018

Afr. J. Agric. Res.

View full text Add to dashboard Cite

show abstract

“…Verificou-se que o CV foi o fator que mais influenciou o tamanho conveniente da parcela, pois, foram observados grandes aumentos no tamanho conveniente da parcela estimado com o aumento do CV, em qualquer combinação de d, I e r. Esses resultados assemelhamse aos obtidos por Muniz et al (2009), Oliveira et al (2011) e Silva (2009 (SILVA, 2009;STORCK et al, 2007), o que propicia maior eficiência do uso de parcelas pequenas associadas a um maior número de repetições, para detectar menores diferenças percentuais entre cultivares do que o uso de parcelas maiores com um menor número de repetições (SILVA, 2009). …”

Section: Resultsunclassified

Size and shape of plots for experiments with the sunflower

Alves

Silva

Assis

2016

Revista Ciência Agronômica

View full text Add to dashboard Cite

2RESUMO -Na experimentação agrícola, a utilização do tamanho e da forma adequada de parcela são técnicas experimentais importantes para aumentar a precisão do experimento. Assim, objetivou-se nesse trabalho determinar o tamanho e forma adequada de parcela para experimentação em campo com girassol. Para isso, o experimento foi conduzido em blocos completos casualizados com 14 cultivares de girassol em 10 repetições. As parcelas foram constituídas de quatro fileiras de seis metros de comprimento, espaçadas de 0,7 m e 0,3 m entre plantas. A área útil da parcela (7,56 m 2 ), composta das duas fileiras centrais, foi dividida em 12 unidades básicas, cada uma constituída por três plantas na fileira (0,63 m 2 ), obtendo-se o rendimento de grãos de girassol. O tamanho conveniente da parcela experimental foi estimado pelo método de Hatheway e a sua forma adequada foi determinada pelo método da informação relativa. O método de Hatheway permitiu estimar diversos tamanhos convenientes de parcelas, muitos de tamanhos aplicáveis para experimentos de avaliação de cultivares de girassol. Parcela no formato retangular 1 x 6 (fileira com dezoito plantas e 3,78 m 2 de área útil), foi considerada a forma adequada para avaliação do rendimento de grãos de cultivares de girassol e, também, foi menor que o tamanho geralmente indicado nas pesquisas com a cultura do girassol. Palavras-chave: Helianthus annuus L.. Método de Hatheway. Método da informação relativa.ABSTRACT -In agricultural experimentation, the use of the appropriate size and shape for the plot is an important experimental technique for increasing the accuracy of the experiment. The aim of this work therefore was to determine a suitable plot size and shape for field experimentation on the sunflower. To do this, the experiment was carried out in a randomised design of complete blocks, with 14 sunflower cultivars in 10 replications. The plots consisted of four rows, each of six metres in length, at a spacing of 0.7 m, with 0.3 m between plants. The working area of the plot (7.56 m 2 ) comprising the two central rows, was divided into 12 basic units, each consisting of three plants per row (0.63 m 2 ), to obtain seed yield in the sunflower. A suitable plot size was estimated using Hatheway's method, with an appropriate shape being determined by the method of relative information. Hatheway's method made it possible to estimate several convenient plot sizes, many of them suitable for experiments to evaluate sunflower cultivars. A 1 x 6 rectangular plot (a row with 18 plants and a working area of 3.78 m 2 ) was considered the appropriate shape for evaluating grain yield in sunflower cultivars, and was also smaller than the size usually found in research into the sunflower crop.

show abstract

“…It is worth noting that an increase in the number of replications was more efficient in reducing the value of d (increased experimental precision), when compared to an increase in the number of cultivars (Table 4), a fact also demonstrated by Donato et al, 2008, Storck, Bisognin and Oliveira, 2006and Storck et al 2007. …”

Section: Resultsmentioning

confidence: 65%

Optimum plot size for experiments with the sunflower1

Alves¹,

Silva²,

Assis³

et al. 2015

Rev. Ciênc. Agron.

View full text Add to dashboard Cite

-The aim of this study was to determine a suitable plot size for field experiments with the sunflower. An experiment was carried out in a randomised complete block design with 14 sunflower cultivars and 10 replications. The plots consisted of four rows, six metres in length, spaced 0.7 m apart with 0.3 m between plants. The working area of the plot (7.56 m 2 ), consisting of the two central rows, was divided into 12 basic units, each consisting of three plants per row (0.63 m 2 ), from where the yield of the sunflower seeds was obtained. Suitable plot size was estimated using the intraclass correlation coefficient method. The detectable difference between treatments was also estimated (d). The optimum plot size for the evaluation of grain yield in the sunflower was 2.52 m 2 (working area), considering a boundary of one row on each side. Greater gains in experimental precision (16%) with increases in plot size, occurred up to eight basic units (5.04 m 2 ) using seven replications. Increasing the number of replications and the plot size was more efficient in increasing experimental precision, than increasing the number of cultivars.

show abstract

Persistência do plano experimental em ensaios de avaliação de germoplasma elite de feijão

Cited by 6 publications

References 9 publications

Optimum plot size for experiments with papaya genotypes in field

Optimum plot size for experiments with papaya genotypes in field

Size and shape of plots for experiments with the sunflower

Optimum plot size for experiments with the sunflower1

Contact Info

Product

Resources

About