Plot size and number of replicates in times of sowing and cuts of millet

Detalhes bibliográficos
Autor(a) principal: Burin,Cláudia
Data de Publicação: 2016
Outros Autores: Cargnelutti Filho,Alberto, Alves,Bruna M., Toebe,Marcos, Kleinpaul,Jéssica A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000200119
Resumo: ABSTRACT The objective of this study was to determine the optimum plot size (Xo) and number of replicates to evaluate millet shoot fresh matter in times of sowing and cuts. Uniformity trials of 6 × 4 m (24 m2) were carried out in three sowing times, in the agricultural year of 2013-2014. Each uniformity trial was divided into 24 basic experimental units (BEU) of 1 × 1 m (1 m2) and the shoot fresh matter of plants in each BEU was weighed. The Xo was determined by the method of maximum curvature of the coefficient of variation model. The number of replicates for experiments in completely randomized and randomized block design, in scenarios of combinations of i treatments (i = 3, 4, ..., 50) and d minimal differences between treatment means, to be detected as significant at 0.05 probability level by Tukey test, expressed in percentage of the experiment mean (d = 10, 12, ..., 30%), was determined by iterative process until convergence. The optimum plot size to evaluate millet shoot fresh matter is 4.97 m2, for the three times of sowing and cuts. For the evaluation of up to 50 treatments, in completely randomized and randomized block design, five replicates are sufficient to identify as significant, at 0.05 probability level by Tukey test, differences between treatment means of 28.66% of the mean of the experiment.
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spelling Plot size and number of replicates in times of sowing and cuts of milletPennisetum glaucum (L.) R. Brownmaximum curvature of the coefficientof variation modelexperiment planningABSTRACT The objective of this study was to determine the optimum plot size (Xo) and number of replicates to evaluate millet shoot fresh matter in times of sowing and cuts. Uniformity trials of 6 × 4 m (24 m2) were carried out in three sowing times, in the agricultural year of 2013-2014. Each uniformity trial was divided into 24 basic experimental units (BEU) of 1 × 1 m (1 m2) and the shoot fresh matter of plants in each BEU was weighed. The Xo was determined by the method of maximum curvature of the coefficient of variation model. The number of replicates for experiments in completely randomized and randomized block design, in scenarios of combinations of i treatments (i = 3, 4, ..., 50) and d minimal differences between treatment means, to be detected as significant at 0.05 probability level by Tukey test, expressed in percentage of the experiment mean (d = 10, 12, ..., 30%), was determined by iterative process until convergence. The optimum plot size to evaluate millet shoot fresh matter is 4.97 m2, for the three times of sowing and cuts. For the evaluation of up to 50 treatments, in completely randomized and randomized block design, five replicates are sufficient to identify as significant, at 0.05 probability level by Tukey test, differences between treatment means of 28.66% of the mean of the experiment.Departamento de Engenharia Agrícola - UFCG2016-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000200119Revista Brasileira de Engenharia Agrícola e Ambiental v.20 n.2 2016reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v20n2p119-127info:eu-repo/semantics/openAccessBurin,CláudiaCargnelutti Filho,AlbertoAlves,Bruna M.Toebe,MarcosKleinpaul,Jéssica A.eng2016-01-21T00:00:00Zoai:scielo:S1415-43662016000200119Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2016-01-21T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Plot size and number of replicates in times of sowing and cuts of millet
title Plot size and number of replicates in times of sowing and cuts of millet
spellingShingle Plot size and number of replicates in times of sowing and cuts of millet
Burin,Cláudia
Pennisetum glaucum (L.) R. Brown
maximum curvature of the coefficientof variation model
experiment planning
title_short Plot size and number of replicates in times of sowing and cuts of millet
title_full Plot size and number of replicates in times of sowing and cuts of millet
title_fullStr Plot size and number of replicates in times of sowing and cuts of millet
title_full_unstemmed Plot size and number of replicates in times of sowing and cuts of millet
title_sort Plot size and number of replicates in times of sowing and cuts of millet
author Burin,Cláudia
author_facet Burin,Cláudia
Cargnelutti Filho,Alberto
Alves,Bruna M.
Toebe,Marcos
Kleinpaul,Jéssica A.
author_role author
author2 Cargnelutti Filho,Alberto
Alves,Bruna M.
Toebe,Marcos
Kleinpaul,Jéssica A.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Burin,Cláudia
Cargnelutti Filho,Alberto
Alves,Bruna M.
Toebe,Marcos
Kleinpaul,Jéssica A.
dc.subject.por.fl_str_mv Pennisetum glaucum (L.) R. Brown
maximum curvature of the coefficientof variation model
experiment planning
topic Pennisetum glaucum (L.) R. Brown
maximum curvature of the coefficientof variation model
experiment planning
description ABSTRACT The objective of this study was to determine the optimum plot size (Xo) and number of replicates to evaluate millet shoot fresh matter in times of sowing and cuts. Uniformity trials of 6 × 4 m (24 m2) were carried out in three sowing times, in the agricultural year of 2013-2014. Each uniformity trial was divided into 24 basic experimental units (BEU) of 1 × 1 m (1 m2) and the shoot fresh matter of plants in each BEU was weighed. The Xo was determined by the method of maximum curvature of the coefficient of variation model. The number of replicates for experiments in completely randomized and randomized block design, in scenarios of combinations of i treatments (i = 3, 4, ..., 50) and d minimal differences between treatment means, to be detected as significant at 0.05 probability level by Tukey test, expressed in percentage of the experiment mean (d = 10, 12, ..., 30%), was determined by iterative process until convergence. The optimum plot size to evaluate millet shoot fresh matter is 4.97 m2, for the three times of sowing and cuts. For the evaluation of up to 50 treatments, in completely randomized and randomized block design, five replicates are sufficient to identify as significant, at 0.05 probability level by Tukey test, differences between treatment means of 28.66% of the mean of the experiment.
publishDate 2016
dc.date.none.fl_str_mv 2016-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000200119
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v20n2p119-127
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.20 n.2 2016
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
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instname_str Universidade Federal de Campina Grande (UFCG)
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
collection Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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