Abstract:RESUMO
Os objetivos deste trabalho foram determinar o tamanho ótimo de parcela e o número de repetições, para avaliar a massa verde de ervilha forrageira (Pisum sativum subsp. arvense (L.) Poir). Foram realizados 27 ensaios de uniformidade de 5m×5m (25m 2 ). Cada ensaio foi dividido em
“…As the number of treatments is increased, the difference observed in the number of replications necessary for experiments in CRD and RBD is little expressive, until the moment in which the number of replications for experiments using the completely randomized and randomized block designs are virtually equal. These results agree with studies on crops of black oats (Cargnelutti Filho et al, 2014a), forage pea (Cargnelutti Filho et al, 2015a), canola (Cargnelutti Filho et al, 2015b), millet (Burin et al, 2015) and pigeonpea (Santos et al, 2016).…”
Section: Resultssupporting
confidence: 91%
“…According to methodology proposed by Paranaíba, Ferreira, and Morais (2009), when there is variability in estimates of ρ, s 2 and m, it will also be observed variability in estimates of optimal plot size and coefficient of variation in the optimum plot size. Scenarios of variability of statistics among uniformity trials are considered important for the study of the scalability of optimal plot size and number of replications, because they reflect real conditions of field areas (Cargnelutti Filho, Toebe, Burin, Fick, & Casarotto, 2011;Cargnelutti Filho et al, 2015a). Thus, the plot size estimated can become a reference for future work with the crop of rye.…”
The objectives of this study were to determine the optimum plot size (X o ) and the number of replications to evaluate the grains yield of rye (Secale cereale L.) and investigate the variability of X o between two cultivars and three sowing dates. Eighteen uniformity trials were conducted with rye. The X o was determined by the method of maximum curvature of the coefficient of variation model. The number of repetitions was determined in scenarios formed by combinations of i treatments (i = 3, 4, ... 50) and d minimum differences between means of treatments to be detected as significant at 0.05 of probability, by Tukey test, expressed in percentage of the average of the experiment (d = 10, 12, ... 30%). There is variability in optimum plot size to evaluate the grains yield among the cultivars BRS Progresso and Temprano and among sowing dates in the rye crop. The optimum plot size to evaluate the grains yield of rye is 6.08 m 2 . Seven replicates are sufficient to evaluate the grains yield of rye in experiments with up to 50 treatments, and identify, as significant at 5% probability by Tukey test, differences among averages of treatments of 29.65% of the mean of the experiment in designs completely randomized and randomized block.
“…As the number of treatments is increased, the difference observed in the number of replications necessary for experiments in CRD and RBD is little expressive, until the moment in which the number of replications for experiments using the completely randomized and randomized block designs are virtually equal. These results agree with studies on crops of black oats (Cargnelutti Filho et al, 2014a), forage pea (Cargnelutti Filho et al, 2015a), canola (Cargnelutti Filho et al, 2015b), millet (Burin et al, 2015) and pigeonpea (Santos et al, 2016).…”
Section: Resultssupporting
confidence: 91%
“…According to methodology proposed by Paranaíba, Ferreira, and Morais (2009), when there is variability in estimates of ρ, s 2 and m, it will also be observed variability in estimates of optimal plot size and coefficient of variation in the optimum plot size. Scenarios of variability of statistics among uniformity trials are considered important for the study of the scalability of optimal plot size and number of replications, because they reflect real conditions of field areas (Cargnelutti Filho, Toebe, Burin, Fick, & Casarotto, 2011;Cargnelutti Filho et al, 2015a). Thus, the plot size estimated can become a reference for future work with the crop of rye.…”
The objectives of this study were to determine the optimum plot size (X o ) and the number of replications to evaluate the grains yield of rye (Secale cereale L.) and investigate the variability of X o between two cultivars and three sowing dates. Eighteen uniformity trials were conducted with rye. The X o was determined by the method of maximum curvature of the coefficient of variation model. The number of repetitions was determined in scenarios formed by combinations of i treatments (i = 3, 4, ... 50) and d minimum differences between means of treatments to be detected as significant at 0.05 of probability, by Tukey test, expressed in percentage of the average of the experiment (d = 10, 12, ... 30%). There is variability in optimum plot size to evaluate the grains yield among the cultivars BRS Progresso and Temprano and among sowing dates in the rye crop. The optimum plot size to evaluate the grains yield of rye is 6.08 m 2 . Seven replicates are sufficient to evaluate the grains yield of rye in experiments with up to 50 treatments, and identify, as significant at 5% probability by Tukey test, differences among averages of treatments of 29.65% of the mean of the experiment in designs completely randomized and randomized block.
“…Therefore, there were differences among the traits, cultivars and sowing times, suggesting that this variation is also seen in the sample size. The scenario of wide variability in the database is important, giving credibility to the study (Cargnelutti Filho et al, 2015a).…”
The objective of this study was to determine the sample size to estimate the traits mean in cultivars and sowing times, at flowering of rye culture. Ten uniformity trials were performed combining two cultivars in five sowing times. In the flowering of culture, in 100 plants of each uniformity trial, eleven traits were evaluated. The descriptive statistics was calculated and it was determined the sample size to estimate the mean in levels of precision (amplitude of the confidence interval of 95% for 5, 10, …, 35% of the mean) by resampling with replacement. The cob length presented the lowest variability among the eleven traits and, consequently, smaller sample size in both cultivars and five sowing time. There is variability in the sample size to estimate the mean among the traits, cultivars and sowing times. The measurement of 425, 276, 189 and 138 plants in cultivar BRS Progresso and 642, 413, 285 and 211 plants in cultivar Temprano, are enough to estimate the mean amplitude of the confidence interval of 95% maximum of 20, 25, 30 and 35%, respectively, for all the traits and sowing times.
“…Em relação aos dados de massas de matéria fresca e seca de centeio, houve variação nas estimativas de média (m), variância (s 2 ) e coeficiente de autocorrelação espacial de primeira ordem (ρ) nos ensaios de uniformidade (Tabela 2). Essa variação é importante para o estudo do tamanho ótimo de parcela e do número de repetições (Cargnelutti Filho et al, 2015).…”
Section: Resultsunclassified
“…O tamanho ótimo de parcela e/ou o número de repetições têm sido investigados para culturas agrícolas, tais como a alfafa (Freitas et al, 2011), o arroz (Masood & Raza, 2012), trigo (Al-Feel & Abdulaah, 2013), aveia-preta (Cargnelutti Filho et al, 2014), ervilha forrageira (Cargnelutti Filho et al, 2015), milheto (Burin et al, 2016), feijão guandu (Santos et al, 2016), aveia branca (Lavezo et al, 2017), crotalária juncea (Facco et al, 2017), ervilhaca (Cargnelutti Filho et al, 2017) e centeio (Chaves et al, 2018).…”
RESUMO: Os objetivos deste trabalho foram determinar o tamanho ótimo de parcela (Xo) e o número de repetições para avaliar as massas de matéria fresca e seca de centeio (Secale cereale L.), e investigar a variação do Xo entre duas cultivares e cinco épocas de semeadura. Foram conduzidos 30 ensaios de uniformidade. Cada ensaio com dimensões de 6 × 4 m foi dividido em 24 unidades experimentais básicas (UEB) de 1 × 1 m. Foram avaliadas as massas de matéria fresca e seca de centeio nas 720 UEB. O Xo foi determinado pelo método da curvatura máxima do modelo do coeficiente de variação. O número de repetições foi determinado em cenários formados por combinações de tratamentos, delineamentos experimentais e níveis de precisão. Os tamanhos ótimos de parcela para avaliar as massas de matéria fresca e seca de centeio são, respectivamente, 3,43 e 3,82 m 2. Seis repetições são suficientes para avaliar as massas de matéria fresca e seca, em delineamentos inteiramente casualizado e blocos ao acaso com até 50 tratamentos, e possibilitam obter diferença mínima significativa menor ou igual a 20% da média do experimento. Palavras-chave: cultura de cobertura de solo; dimensionamento experimental; ensaio de uniformidade
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