Plot Size in the Evaluation of Papaya Seedlings 'Baixinho De Santa Amália' in Tubes

Abstract

ABSTRACT-Were evaluated three characters in papaya seedlings 'Baixinho de Santa Amália' to estimate the optimum plot size and the number of replications in a completely randomized experiment, a randomized block and Latin square. The characters were seedling height, leaf number and length of roots from uniformity test with 240 seedlings. The determination of the optimum plot size was done by applying the method of Hatheway (1961). The number of seedlings per plot for seedling production is variable depending on the number of treatments and replications assumed precision, the character in question and the experimental design. Comparing designs, the plot size is greater in the Latin square, followed by a randomized block design and completely randomized, and this difference is more pronounced the lower the number of treatments and replicates used. For the same number of treatments and the same precision, the most efficient use of the experimental area is given using smaller plot, with more replications, which require less space in the nursery than larger plots with fewer replications. For experiments completely randomized and randomized blocks with five or more treatments, four replications, and precision of 15% around the mean, it is recommended to use nine seedlings per plot. Index terms: Carica papaya L., experimental precision, experimental planning, design experimental. TAMANHO DE PARCELA NA AVALIAÇÃO DE MUDAS DE MAMOEIRO'BAIXINHO DE SANTA AMÁLIA' EM TUBETES RESUMO-Foram avaliados três caracteres em plântulas de mamoeiro 'Baixinho de Santa Amália' com objetivo de estimar o tamanho ótimo de parcelas e o número de repetições em experimento inteiramente ao acaso, em blocos ao acaso e em quadrado latino. Os caracteres foram altura da plântula, número de folhas e comprimento da maior raiz a partir de ensaio em branco com 240 plântulas. A determinação do tamanho ótimo de parcela foi feita aplicando-se o método de Hatheway (1961). O número de plântulas por parcela para produção de mudas é variável em função do número de tratamentos e de repetições, precisão assumida, do caráter em questão e do delineamento experimental. Na comparação entre delineamentos, o tamanho de parcela é maior no quadrado latino, seguido de blocos ao acaso e inteiramente ao acaso, sendo que esta diferença é mais acentuada quanto menor for o número de tratamentos e de repetições. Para um mesmo número de tratamentos e mesma precisão, o uso mais eficiente de área experimental se dá utilizando-se parcelas menores, com maior número de repetições, as quais demandam menor espaço em viveiro do que parcelas maiores, com menor número de repetições. Para experimentos inteiramente ao acaso e em blocos ao acaso com cinco ou mais tratamentos, quatro repetições, e, precisão de 15% em torno da média, recomenda-se o uso de nove plântulas por parcela. Termos para indexação: Carica papaya L., precisão experimental, planejamento experimental, delineamentos experimentais.

Optimum plot size for experiments with papaya genotypes in field

“…It seems reasonable for the researcher to assume a value of d = 30% because any further increase in the accuracy will result in a large increase in plot size. Similar results were observed by other researchers using Hatheway's method (Muniz et al, 2009;Celanti et al, 2016b (Table 4). Therefore, for the same precision, smaller plots and larger number of replications are more efficient for the use of the same experimental area, as observed by Muniz et al (2009) in eucalyptus andSouza et al (2015) in sunflower.…”

“…As reported by Cargnelutti , the parameter d measures the precision, being that a small percentage of d indicates greater precision; in other words, small differences between treatments means will be considered significant. In the simulations, the criteria for combinations take into consideration d values as 20, 30 and 40% and the other criteria were used according to Celanti et al (2016b): the lowest number of treatments was three (I = 3), whereas the detection of the difference between two means can now be made by analysis of variance; the smallest number of replications was 2 (J = 2), because this is the minimum for detecting the experimental error; the I treatments and J replications were combined to provide a minimum of 20 plots per experiment, according to Pimentel-Gomes (2009) recommendations; since this is a discrete random variable, the optimum plot size was presented by integer number, rounding to the closest whole number.…”

Plot Size Related to Numbers of Treatments and Replications, and Experimental Precision in Conilon Coffee From Clonal Seedlings of LB1

“…To obtain the adequate plot size, are described in literature dozens of methodologies, and among these are distinguished by their frequent use, currently, the maximum modified curvature, according to Meier and Lessman (1970), that of the maximum curvature of the varient's coefficient (Paranaíba, Ferreira, & Morais, 2009), and, that of Hatheway (1961). According to Celanti, Schmildt, Alexandre, Cattaneo, and Schmildt (2016b), the use of Hatheway's methodology is interesting because it can satisfy the yearnings of the researcher who wishes to know the adequate plot size for their research accuracy, that includes the number of treatments and replications, the experimental outline used and the experiments precision. Among recent uses of Hatheway's methodology are mentioned those of Cargnelutti in determining the plot size in experiments with Pigeon pea and that of Schmildt et al (2018) with papaya tree genotypes.…”

Comparison of Methodologies to Determine the Optimum Plot Size for Okra Seedlings Evaluation

“…Indeed, the optimum size (X 0 ) ranged from 4 plants per plot for aerial part height and stalk diameter to 10 plants per plot for root dry matter (Table 2). Different plot size for different characteristics were also detected to determine the optimum plot size in experiments with others researchers in others cultures (Cipriano et al, 2012;Firmino et al, 2012;Celanti et al, 2016aCelanti et al, , 2016b. Table 2.…”

“…Researches to determine optimum plot size has been done for coffee seedlings 'Rubi' (Cipriano, Cogo, Campos, & Almeida, 2012), coffee seedlings 'Catuaí Amarelo 2SL' (Firmino et al, 2012), papaya 'Golden PC' (Celanti et al, 2016a) and papaya 'Baixinho de Santa Amália' (Celanti, Schmildt, Alexandre, Cattaneo, & Schmildt, 2016b). For okra, however, no work was found in the literature about determining the optimum plot size in seedling production.…”