Optimum plot size for experiments with the sunflower1
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista ciência agronômica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000100170 |
Resumo: | The aim of this study was to determine a suitable plot size for field experiments with the sunflower. An experiment was carried out in a randomised complete block design with 14 sunflower cultivars and 10 replications. The plots consisted of four rows, six metres in length, spaced 0.7 m apart with 0.3 m between plants. The working area of the plot (7.56 m2), consisting of the two central rows, was divided into 12 basic units, each consisting of three plants per row (0.63 m2), from where the yield of the sunflower seeds was obtained. Suitable plot size was estimated using the intraclass correlation coefficient method. The detectable difference between treatments was also estimated (d). The optimum plot size for the evaluation of grain yield in the sunflower was 2.52 m2(working area), considering a boundary of one row on each side. Greater gains in experimental precision (16%) with increases in plot size, occurred up to eight basic units (5.04 m2) using seven replications. Increasing the number of replications and the plot size was more efficient in increasing experimental precision, than increasing the number of cultivars. |
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Revista ciência agronômica (Online) |
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Optimum plot size for experiments with the sunflower1Helianthus annuus L.Intraclass correlation coefficientBreedingThe aim of this study was to determine a suitable plot size for field experiments with the sunflower. An experiment was carried out in a randomised complete block design with 14 sunflower cultivars and 10 replications. The plots consisted of four rows, six metres in length, spaced 0.7 m apart with 0.3 m between plants. The working area of the plot (7.56 m2), consisting of the two central rows, was divided into 12 basic units, each consisting of three plants per row (0.63 m2), from where the yield of the sunflower seeds was obtained. Suitable plot size was estimated using the intraclass correlation coefficient method. The detectable difference between treatments was also estimated (d). The optimum plot size for the evaluation of grain yield in the sunflower was 2.52 m2(working area), considering a boundary of one row on each side. Greater gains in experimental precision (16%) with increases in plot size, occurred up to eight basic units (5.04 m2) using seven replications. Increasing the number of replications and the plot size was more efficient in increasing experimental precision, than increasing the number of cultivars.Universidade Federal do Ceará2015-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000100170Revista Ciência Agronômica v.46 n.1 2015reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.1590/S1806-66902015000100020info:eu-repo/semantics/openAccessSousa,Roberto Pequeno deSilva,Paulo Sérgio Lima eAssis,Janilson Pinheiro deSilva,Paulo Igor Barbosa eSilva,Júlio César do Valeeng2015-10-09T00:00:00Zoai:scielo:S1806-66902015000100170Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2015-10-09T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Optimum plot size for experiments with the sunflower1 |
title |
Optimum plot size for experiments with the sunflower1 |
spellingShingle |
Optimum plot size for experiments with the sunflower1 Sousa,Roberto Pequeno de Helianthus annuus L. Intraclass correlation coefficient Breeding |
title_short |
Optimum plot size for experiments with the sunflower1 |
title_full |
Optimum plot size for experiments with the sunflower1 |
title_fullStr |
Optimum plot size for experiments with the sunflower1 |
title_full_unstemmed |
Optimum plot size for experiments with the sunflower1 |
title_sort |
Optimum plot size for experiments with the sunflower1 |
author |
Sousa,Roberto Pequeno de |
author_facet |
Sousa,Roberto Pequeno de Silva,Paulo Sérgio Lima e Assis,Janilson Pinheiro de Silva,Paulo Igor Barbosa e Silva,Júlio César do Vale |
author_role |
author |
author2 |
Silva,Paulo Sérgio Lima e Assis,Janilson Pinheiro de Silva,Paulo Igor Barbosa e Silva,Júlio César do Vale |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Sousa,Roberto Pequeno de Silva,Paulo Sérgio Lima e Assis,Janilson Pinheiro de Silva,Paulo Igor Barbosa e Silva,Júlio César do Vale |
dc.subject.por.fl_str_mv |
Helianthus annuus L. Intraclass correlation coefficient Breeding |
topic |
Helianthus annuus L. Intraclass correlation coefficient Breeding |
description |
The aim of this study was to determine a suitable plot size for field experiments with the sunflower. An experiment was carried out in a randomised complete block design with 14 sunflower cultivars and 10 replications. The plots consisted of four rows, six metres in length, spaced 0.7 m apart with 0.3 m between plants. The working area of the plot (7.56 m2), consisting of the two central rows, was divided into 12 basic units, each consisting of three plants per row (0.63 m2), from where the yield of the sunflower seeds was obtained. Suitable plot size was estimated using the intraclass correlation coefficient method. The detectable difference between treatments was also estimated (d). The optimum plot size for the evaluation of grain yield in the sunflower was 2.52 m2(working area), considering a boundary of one row on each side. Greater gains in experimental precision (16%) with increases in plot size, occurred up to eight basic units (5.04 m2) using seven replications. Increasing the number of replications and the plot size was more efficient in increasing experimental precision, than increasing the number of cultivars. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-03-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000100170 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000100170 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1806-66902015000100020 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal do Ceará |
publisher.none.fl_str_mv |
Universidade Federal do Ceará |
dc.source.none.fl_str_mv |
Revista Ciência Agronômica v.46 n.1 2015 reponame:Revista ciência agronômica (Online) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Revista ciência agronômica (Online) |
collection |
Revista ciência agronômica (Online) |
repository.name.fl_str_mv |
Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
_version_ |
1750297487570108416 |