Tamanho de parcela e número de repetições em centeio

Detalhes bibliográficos
Autor(a) principal: Chaves, Gabriela Görgen
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/15939
Resumo: The objectives of this work were to determine the optimum plot size (Xo) and the number of repetitions to evaluate the fresh and dry matter, and the grains yield of rye (Secale cereale L.), and investigate the variability of Xo between two cultivars and five sowing times (fresh and dry matter), and between two cultivars and three sowing times (grains yield). Thirty uniformity trials were conducted to evaluate fresh and dry matter, and eighteen uniformity trials to evaluate the grains yield of rye. Each trial with dimensions of 6 m × 4 m was divided into 24 basic experimental units (BEU) of 1 m × 1 m. Fresh and dry matter of rye were evaluated in the 720 BEU, and grains yield in the 432 BEU. The Xo was determined by the method of maximum curvature of the coefficient of variation model. The number of repetitions was determined in scenarios formed by combinations of i treatments (i = 3, 4, ..., 50) and d minimum differences between means of treatments to be detected as significant at 0.05 of probability, by Tukey test, expressed in percentage of the average of the experiment (d = 10, 11, ..., 20% and d = 10, 12, ..., 30%). There is variability in optimum plot size only to evaluate the grains yield among the cultivars BRS Progresso and Temprano and among sowing dates in the rye crop. The optimal plot sizes to evaluate fresh and dry matter, and the grains yield of rye are, respectively, 3.43, 3.82 and 6.08m2. Six and seven repetitions are sufficient to evaluate fresh and dry matter, and the grains yield of rye in experiments with up to 50 treatments, and to identify, as significant at 5% probability by the Tukey test, differences among averages of treatments less than or equal to 20 and equal to 29.65% of the mean of the experiment, in designs completely randomized and randomized blocks, respectively.
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spelling Tamanho de parcela e número de repetições em centeioPlot size and number of repetitions in ryeSecale cereale L.Planejamento experimentalDimensionamento experimentalExperiment planningExperimental dimensionCNPQ::CIENCIAS AGRARIAS::AGRONOMIAThe objectives of this work were to determine the optimum plot size (Xo) and the number of repetitions to evaluate the fresh and dry matter, and the grains yield of rye (Secale cereale L.), and investigate the variability of Xo between two cultivars and five sowing times (fresh and dry matter), and between two cultivars and three sowing times (grains yield). Thirty uniformity trials were conducted to evaluate fresh and dry matter, and eighteen uniformity trials to evaluate the grains yield of rye. Each trial with dimensions of 6 m × 4 m was divided into 24 basic experimental units (BEU) of 1 m × 1 m. Fresh and dry matter of rye were evaluated in the 720 BEU, and grains yield in the 432 BEU. The Xo was determined by the method of maximum curvature of the coefficient of variation model. The number of repetitions was determined in scenarios formed by combinations of i treatments (i = 3, 4, ..., 50) and d minimum differences between means of treatments to be detected as significant at 0.05 of probability, by Tukey test, expressed in percentage of the average of the experiment (d = 10, 11, ..., 20% and d = 10, 12, ..., 30%). There is variability in optimum plot size only to evaluate the grains yield among the cultivars BRS Progresso and Temprano and among sowing dates in the rye crop. The optimal plot sizes to evaluate fresh and dry matter, and the grains yield of rye are, respectively, 3.43, 3.82 and 6.08m2. Six and seven repetitions are sufficient to evaluate fresh and dry matter, and the grains yield of rye in experiments with up to 50 treatments, and to identify, as significant at 5% probability by the Tukey test, differences among averages of treatments less than or equal to 20 and equal to 29.65% of the mean of the experiment, in designs completely randomized and randomized blocks, respectively.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESOs objetivos deste trabalho foram determinar o tamanho ótimo de parcela (Xo) e o número de repetições para avaliar as massas de matéria fresca e seca, e a produtividade de grãos de centeio (Secale cereale L.), e investigar a variabilidade do Xo entre duas cultivares e cinco épocas de semeadura (para os caracteres massas de matéria fresca e seca) e entre duas cultivares e três épocas de semeadura (para o caractere produtividade de grãos). Foram conduzidos 30 ensaios de uniformidade para avaliar os caracteres massas de matéria fresca e seca, e 18 ensaios de uniformidade para avaliar o caractere produtividade de grãos de centeio. Cada ensaio com dimensões de 6 m × 4 m foi dividido em 24 unidades experimentais básicas (UEB) de 1 m × 1 m. Foram avaliadas as massas de matéria fresca e seca nas 720 UEB, e a produtividade de grãos nas 432 UEB. O Xo foi determinado pelo método da curvatura máxima do modelo do coeficiente de variação. O número de repetições foi determinado em cenários formados pelas combinações de i tratamentos (i = 3, 4, ..., 50) e d diferenças mínimas entre médias de tratamentos a serem detectadas como significativas a 0,05 de probabilidade, pelo teste de Tukey, expressas em percentagem da média do experimento (d = 10, 11, ..., 20% e d = 10,12, ..., 30%). Existe variabilidade no tamanho ótimo da parcela para avaliar o rendimento de grãos entre as cultivares BRS Progresso e Temprano e entre as datas de semeadura na cultura do centeio. Os tamanhos ótimos de parcela para avaliar as massas de matéria fresca e seca, e a produtividade de grãos de centeio são, respectivamente, 3,43, 3,82 e 6,08 m2 . Seis e sete repetições são suficientes para avaliar, respectivamente, as massas de matéria fresca e seca, e produtividade de grãos em experimentos com até 50 tratamentos, e identificar, como significativas a 5% de probabilidade, pelo teste de Tukey, diferenças entre médias de tratamentos menor ou igual a 20 e igual a 29,65% da média do experimento, nos delineamentos inteiramente casualizado e blocos ao acaso, respectivamente.Universidade Federal de Santa MariaBrasilAgronomiaUFSMPrograma de Pós-Graduação em AgronomiaCentro de Ciências RuraisCargnelutti Filho, Albertohttp://lattes.cnpq.br/0233728865094243Storck, Lindolfohttp://lattes.cnpq.br/7538496041313334Toebe, Marcoshttp://lattes.cnpq.br/1350890583236601Chaves, Gabriela Görgen2019-03-20T15:49:39Z2019-03-20T15:49:39Z2018-07-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/15939porAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2019-03-21T06:00:27Zoai:repositorio.ufsm.br:1/15939Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2019-03-21T06:00:27Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Tamanho de parcela e número de repetições em centeio
Plot size and number of repetitions in rye
title Tamanho de parcela e número de repetições em centeio
spellingShingle Tamanho de parcela e número de repetições em centeio
Chaves, Gabriela Görgen
Secale cereale L.
Planejamento experimental
Dimensionamento experimental
Experiment planning
Experimental dimension
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Tamanho de parcela e número de repetições em centeio
title_full Tamanho de parcela e número de repetições em centeio
title_fullStr Tamanho de parcela e número de repetições em centeio
title_full_unstemmed Tamanho de parcela e número de repetições em centeio
title_sort Tamanho de parcela e número de repetições em centeio
author Chaves, Gabriela Görgen
author_facet Chaves, Gabriela Görgen
author_role author
dc.contributor.none.fl_str_mv Cargnelutti Filho, Alberto
http://lattes.cnpq.br/0233728865094243
Storck, Lindolfo
http://lattes.cnpq.br/7538496041313334
Toebe, Marcos
http://lattes.cnpq.br/1350890583236601
dc.contributor.author.fl_str_mv Chaves, Gabriela Görgen
dc.subject.por.fl_str_mv Secale cereale L.
Planejamento experimental
Dimensionamento experimental
Experiment planning
Experimental dimension
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
topic Secale cereale L.
Planejamento experimental
Dimensionamento experimental
Experiment planning
Experimental dimension
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description The objectives of this work were to determine the optimum plot size (Xo) and the number of repetitions to evaluate the fresh and dry matter, and the grains yield of rye (Secale cereale L.), and investigate the variability of Xo between two cultivars and five sowing times (fresh and dry matter), and between two cultivars and three sowing times (grains yield). Thirty uniformity trials were conducted to evaluate fresh and dry matter, and eighteen uniformity trials to evaluate the grains yield of rye. Each trial with dimensions of 6 m × 4 m was divided into 24 basic experimental units (BEU) of 1 m × 1 m. Fresh and dry matter of rye were evaluated in the 720 BEU, and grains yield in the 432 BEU. The Xo was determined by the method of maximum curvature of the coefficient of variation model. The number of repetitions was determined in scenarios formed by combinations of i treatments (i = 3, 4, ..., 50) and d minimum differences between means of treatments to be detected as significant at 0.05 of probability, by Tukey test, expressed in percentage of the average of the experiment (d = 10, 11, ..., 20% and d = 10, 12, ..., 30%). There is variability in optimum plot size only to evaluate the grains yield among the cultivars BRS Progresso and Temprano and among sowing dates in the rye crop. The optimal plot sizes to evaluate fresh and dry matter, and the grains yield of rye are, respectively, 3.43, 3.82 and 6.08m2. Six and seven repetitions are sufficient to evaluate fresh and dry matter, and the grains yield of rye in experiments with up to 50 treatments, and to identify, as significant at 5% probability by the Tukey test, differences among averages of treatments less than or equal to 20 and equal to 29.65% of the mean of the experiment, in designs completely randomized and randomized blocks, respectively.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-19
2019-03-20T15:49:39Z
2019-03-20T15:49:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/15939
url http://repositorio.ufsm.br/handle/1/15939
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agronomia
Centro de Ciências Rurais
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agronomia
Centro de Ciências Rurais
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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