Effect of neighborhood and plot size on experiments with multiple-harvest oleraceous crops

The objective of this work was to determine the efficiency of the Papadakis method on the quality evaluation of experiments with multiple-harvest oleraceous crops, and on the estimate of the covariate and the ideal plot size. Data from nine uniformity trials (five with bean pod, two with zucchini, and two with sweet pepper) and from one experiment with treatments (with sweet pepper) were used. Through the uniformity trials, the best way to calculate the covariate was defined and the optimal plot size was calculated. In the experiment with treatments, analyses of variance and covariance were performed, in which the covariate was calculated by the Papadakis method, and experimental precision was evaluated based on four statistics. The use of analysis of covariance with the covariate obtained by the Papadakis method increases the quality of experiments with multiple-harvest oleraceous crops and allows the use of smaller plot sizes. The best covariate is the one that considers a neighboring plot of each side of the reference plot.

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Main Authors: Santos,Daniel, Lúcio,Alessandro Dal'Col, Cargnelutti Filho,Alberto, Storck,Lindolfo, Lorentz,Leandro Homrich, Schabarum,Denison Esequiel
Format: Digital revista
Language:English
Published: Embrapa Secretaria de Pesquisa e Desenvolvimento 2014
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000400257
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spelling oai:scielo:S0100-204X20140004002572014-07-14Effect of neighborhood and plot size on experiments with multiple-harvest oleraceous cropsSantos,DanielLúcio,Alessandro Dal'ColCargnelutti Filho,AlbertoStorck,LindolfoLorentz,Leandro HomrichSchabarum,Denison Esequiel Capsicum annuum Cucurbita pepo Phaseolus vulgaris analysis of covariance Papadakis method experimental precision The objective of this work was to determine the efficiency of the Papadakis method on the quality evaluation of experiments with multiple-harvest oleraceous crops, and on the estimate of the covariate and the ideal plot size. Data from nine uniformity trials (five with bean pod, two with zucchini, and two with sweet pepper) and from one experiment with treatments (with sweet pepper) were used. Through the uniformity trials, the best way to calculate the covariate was defined and the optimal plot size was calculated. In the experiment with treatments, analyses of variance and covariance were performed, in which the covariate was calculated by the Papadakis method, and experimental precision was evaluated based on four statistics. The use of analysis of covariance with the covariate obtained by the Papadakis method increases the quality of experiments with multiple-harvest oleraceous crops and allows the use of smaller plot sizes. The best covariate is the one that considers a neighboring plot of each side of the reference plot.info:eu-repo/semantics/openAccessEmbrapa Secretaria de Pesquisa e DesenvolvimentoPesquisa Agropecuária BrasileiraPesquisa Agropecuária Brasileira v.49 n.4 20142014-04-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000400257en10.1590/S0100-204X2014000400003
institution SCIELO
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country Brasil
countrycode BR
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Santos,Daniel
Lúcio,Alessandro Dal'Col
Cargnelutti Filho,Alberto
Storck,Lindolfo
Lorentz,Leandro Homrich
Schabarum,Denison Esequiel
spellingShingle Santos,Daniel
Lúcio,Alessandro Dal'Col
Cargnelutti Filho,Alberto
Storck,Lindolfo
Lorentz,Leandro Homrich
Schabarum,Denison Esequiel
Effect of neighborhood and plot size on experiments with multiple-harvest oleraceous crops
author_facet Santos,Daniel
Lúcio,Alessandro Dal'Col
Cargnelutti Filho,Alberto
Storck,Lindolfo
Lorentz,Leandro Homrich
Schabarum,Denison Esequiel
author_sort Santos,Daniel
title Effect of neighborhood and plot size on experiments with multiple-harvest oleraceous crops
title_short Effect of neighborhood and plot size on experiments with multiple-harvest oleraceous crops
title_full Effect of neighborhood and plot size on experiments with multiple-harvest oleraceous crops
title_fullStr Effect of neighborhood and plot size on experiments with multiple-harvest oleraceous crops
title_full_unstemmed Effect of neighborhood and plot size on experiments with multiple-harvest oleraceous crops
title_sort effect of neighborhood and plot size on experiments with multiple-harvest oleraceous crops
description The objective of this work was to determine the efficiency of the Papadakis method on the quality evaluation of experiments with multiple-harvest oleraceous crops, and on the estimate of the covariate and the ideal plot size. Data from nine uniformity trials (five with bean pod, two with zucchini, and two with sweet pepper) and from one experiment with treatments (with sweet pepper) were used. Through the uniformity trials, the best way to calculate the covariate was defined and the optimal plot size was calculated. In the experiment with treatments, analyses of variance and covariance were performed, in which the covariate was calculated by the Papadakis method, and experimental precision was evaluated based on four statistics. The use of analysis of covariance with the covariate obtained by the Papadakis method increases the quality of experiments with multiple-harvest oleraceous crops and allows the use of smaller plot sizes. The best covariate is the one that considers a neighboring plot of each side of the reference plot.
publisher Embrapa Secretaria de Pesquisa e Desenvolvimento
publishDate 2014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000400257
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