Optimal plot size in the evaluation of papaya scions: proposal and comparison of methods

Celanti, Humberto Felipe; Schmildt, Edílson Romais; Schmildt, Omar; Alexandre, Rodrigo Sobreira; Cattaneo, Laercio Francisco

doi:10.1590/0034-737x201663040006

Cited by 11 publications

(19 citation statements)

References 18 publications

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“…11, No. 5;2019 The maximum curvature method, according to Meier and Lessman (1971), using simulation, differs from the original to make the groupings of the X i BEU by bootstrap simulation with replacement (Efron, 1979), according to Celanti et al (2016a). We symbolized this methodology by ML boot , to differ of Meier and Lessman (1971) proposal, which named ML.…”

Section: Methodsmentioning

confidence: 99%

“…Although the researcher wishes to reduce the experimental error increasing the plot size, this criterion should be used with caution, since given a certain increase in plot size the reduction of the experimental error is very low (Pimental-Gomes, 2009), considering that it is not linear (Sousa et al, 2018) leading to expenditures for experimental material and unnecessary physical space usage. Then, it is desirable to find the optimum plot size (Meier & Lessman, 1971;Paranaíba, Ferreira, & Morais, 2009;Celanti, Schmildt, Schmildt, Alexandre, & Cattaneo 2016a).…”

Section: Introductionmentioning

confidence: 99%

“…As for the method to determine the optimum plot size, there are in the literature more than a dozen proposals, and the most frequently used in Brazil with several crops are those of maximum modified curvature (Meier & Lessman, 1971) and maximum curvature of the coefficient of variation (Paranaíba et al, 2009). Recently, Celanti et al (2016a) proposed the use of a bootstrap simulation to determine optimum plot size with the advantage of being fast for the analysis since the researcher does not need to identify the position of the plant in the blank test area.…”

Section: Introductionmentioning

confidence: 99%

“…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.…”

Section: Introductionmentioning

confidence: 99%

“…For okra, however, no work was found in the literature about determining the optimum plot size in seedling production. In this way the objective of this work is to determine and compare the optimum plot size for experiments involving okra seedlings produced in trays using the methods by Meier and Lessman (1971), Paranaíba et al (2009) and Meier and Lessman (1971) using bootstrap simulation, according to Celanti et al (2016a).…”

Section: Introductionmentioning

confidence: 99%

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

Santos¹,

Pinto²,

Almeida³

et al. 2019

JAS

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The production of okra using seedlings is a practice increasingly used by farmers. However, this system still lacks further research involving substrates, tray types, cell volume, pest control and disease. For this it is important to determine the optimum size of the plots, in order to reduce the experimental errors and the expenses with the experiment. The objective of this work was to determine the optimum plot size for experiments involving okra seedlings produced in Styrofoam trays of 128 cells using different methods. The methods were the maximum curvature, the maximum curvature with bootstrap simulation and the maximum curvature of the coefficient of variation. The evaluated characteristics were aerial part height, stem diameter, aerial dry matter, root dry matter, total dry matter and quality of seedlings as measured by Dickson quality index. The results showed that the optimum plot size is different between the evaluated characteristics and for characteristics there is no significant difference in the optimum plot size between the three different methods. The optimum size for evaluating okra seedlings produced in Styrofoam trays of 128 cells is 10 seedlings per plot and is indicated the use of the maximum curvature method using a bootstrap simulation.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Santos¹,

Pinto²,

Almeida³

et al. 2019

JAS

Self Cite

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show abstract

Determination of the optimum plot size for tomato seedlings

et al. 2021

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The objectives of this work were to determine the optimum plot size for tomato seedlings by Hatheway's method, using the Mestiço and Ozone cultivars, and verify the possibility to obtain the optimum plot size only by nondestructive characteristics. Non-destructives (aerial part height, stem diameter, number of leaves and leaf area) and destructives (aerial part dry matter, root dry matter, total dry matter and Dickson quality index) characteristics were evaluated. For each characteristic evaluated, experimental plans were simulated in a randomized block design with the combination of I treatments (I = 3, 4, 5, ..., 10, 15, 20 and 25) and R repetitions (R= 3, 4, 5, 6 and 7). The optimum plot size ranged according to the characteristic evaluated. Considering the number of treatments, repetitions and the same experimental accuracy, the stem diameter showed the highest size plot. Thus, the stem diameter can be used as a basis characteristic for the non-destructives characteristics, without the need to destroy the seedling.

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Experimental plot size of passion fruit

et al. 2020

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The determination of the plot size is a practical matter pertinent to the experimental planning, and its optimal characterization allows to obtain higher precision and better quality in the results. Therefore, in this study, the main goal was to determine the plot size in experiments of passion fruit in two uniformity tests with Passiflora setacea and Passiflora alata. The experiment was constituted of a substrate at planting with 3 thirds of soil and 1 of barnyard manure. The soil was fertilizer with 3 kg of simple superphosphate and 0.5 kg of KCl by 1m³. Each species of Passiflora was considered a uniformity test with 40 basic units (BU). The evaluations of the experiments were done on 60 days after the transplant, noticing the tree's height, stem's diameter, number of leaves, number of buds, number of meristems and chlorophyll. Several plot sizes were simulated, in which each plant was first considered as a basic unit up to 40 plants per unit basic. For the estimation of optimum plot size, the maximum modified curvature method was used. The plot sizes varied with the specie, founding values as three to seven BU for Passiflora setacea and four BU to five for Passiflora alata.

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Optimal plot size in the evaluation of papaya scions: proposal and comparison of methods

Cited by 11 publications

References 18 publications

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

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

Determination of the optimum plot size for tomato seedlings

Experimental plot size of passion fruit

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