Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697

Detalhes bibliográficos
Autor(a) principal: Storck, Lindolfo
Data de Publicação: 2014
Outros Autores: Lúcio, Alessandro Dal’Col, Krause, Willian, Araújo, Dejânia Vieira de, Silva, Celice Alexandre
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/17697
Resumo: There is a demand for research on yellow passion fruit plants (Passiflora edulis Sims) used for juice production. Thus, the present study aimed to determine the number of plants per experimental plot and the number of plots per genotype for different properties of passion fruit. The data used were obtained from an experiment (Tangará da Serra, Mato Grosso State, Brazil) that assessed 13 fruit properties in eight genotypes of yellow passion fruit plants, with 10 replicates and 10 plants per plot. For each of the 80 experimental plots, the optimum plot size (Xo) was estimated by the method of maximum curvature of the coefficient of variation model. The number of replicates for each genotype and the means were estimated through the use of 10 plants per plot, combined with Xo plants per plot. The optimum plot size for the assessment of properties in yellow passion fruits independent of genotype is less than five plants, as the number of replicates is a function of the desired magnitude of accuracy. The number of plants per experiment is lower when using Xo plants per plot.   
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spelling Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697Passiflora edulis Simsyellow passion fruitexperimental designaccuracyPlanejamento de experimentosThere is a demand for research on yellow passion fruit plants (Passiflora edulis Sims) used for juice production. Thus, the present study aimed to determine the number of plants per experimental plot and the number of plots per genotype for different properties of passion fruit. The data used were obtained from an experiment (Tangará da Serra, Mato Grosso State, Brazil) that assessed 13 fruit properties in eight genotypes of yellow passion fruit plants, with 10 replicates and 10 plants per plot. For each of the 80 experimental plots, the optimum plot size (Xo) was estimated by the method of maximum curvature of the coefficient of variation model. The number of replicates for each genotype and the means were estimated through the use of 10 plants per plot, combined with Xo plants per plot. The optimum plot size for the assessment of properties in yellow passion fruits independent of genotype is less than five plants, as the number of replicates is a function of the desired magnitude of accuracy. The number of plants per experiment is lower when using Xo plants per plot.   Universidade Estadual de Maringá2014-01-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisaapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/1769710.4025/actasciagron.v36i1.17697Acta Scientiarum. Agronomy; Vol 36 No 1 (2014); 73-78Acta Scientiarum. Agronomy; v. 36 n. 1 (2014); 73-781807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/17697/pdf_1Storck, LindolfoLúcio, Alessandro Dal’ColKrause, WillianAraújo, Dejânia Vieira deSilva, Celice Alexandreinfo:eu-repo/semantics/openAccess2014-07-24T11:31:21Zoai:periodicos.uem.br/ojs:article/17697Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2014-07-24T11:31:21Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697
title Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697
spellingShingle Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697
Storck, Lindolfo
Passiflora edulis Sims
yellow passion fruit
experimental design
accuracy
Planejamento de experimentos
title_short Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697
title_full Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697
title_fullStr Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697
title_full_unstemmed Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697
title_sort Scaling the number of plants per plot and number of plots per genotype of yellow passion fruit plants - doi: 10.4025/actasciagron.v36i1.17697
author Storck, Lindolfo
author_facet Storck, Lindolfo
Lúcio, Alessandro Dal’Col
Krause, Willian
Araújo, Dejânia Vieira de
Silva, Celice Alexandre
author_role author
author2 Lúcio, Alessandro Dal’Col
Krause, Willian
Araújo, Dejânia Vieira de
Silva, Celice Alexandre
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Storck, Lindolfo
Lúcio, Alessandro Dal’Col
Krause, Willian
Araújo, Dejânia Vieira de
Silva, Celice Alexandre
dc.subject.por.fl_str_mv Passiflora edulis Sims
yellow passion fruit
experimental design
accuracy
Planejamento de experimentos
topic Passiflora edulis Sims
yellow passion fruit
experimental design
accuracy
Planejamento de experimentos
description There is a demand for research on yellow passion fruit plants (Passiflora edulis Sims) used for juice production. Thus, the present study aimed to determine the number of plants per experimental plot and the number of plots per genotype for different properties of passion fruit. The data used were obtained from an experiment (Tangará da Serra, Mato Grosso State, Brazil) that assessed 13 fruit properties in eight genotypes of yellow passion fruit plants, with 10 replicates and 10 plants per plot. For each of the 80 experimental plots, the optimum plot size (Xo) was estimated by the method of maximum curvature of the coefficient of variation model. The number of replicates for each genotype and the means were estimated through the use of 10 plants per plot, combined with Xo plants per plot. The optimum plot size for the assessment of properties in yellow passion fruits independent of genotype is less than five plants, as the number of replicates is a function of the desired magnitude of accuracy. The number of plants per experiment is lower when using Xo plants per plot.   
publishDate 2014
dc.date.none.fl_str_mv 2014-01-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/17697
10.4025/actasciagron.v36i1.17697
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/17697
identifier_str_mv 10.4025/actasciagron.v36i1.17697
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/17697/pdf_1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 36 No 1 (2014); 73-78
Acta Scientiarum. Agronomy; v. 36 n. 1 (2014); 73-78
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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