Plot size and replications number for triticale experiments
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Rural |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020001100201 |
Resumo: | ABSTRACT: The hybridization between wheat and rye crops resulted in the triticale crop, which presents rusticity, versatility in animal and human food and possibility of use as a cover plant. The objective of this research was to determine the optimal plot size and the replications number to evaluate the fresh weight of triticale in two evaluation moments. An experiment was carried out with the triticale cultivar IPR111. The experimental area was divided into 48 uniformity trials, each containing 36 basic experimental units of 0.51 m2. The fresh weight was evaluated in 24 uniformity trials at 99 days after sowing (DAS) and in 24 uniformity trials at 127 DAS. The optimal plot size was determined by the method of the maximum curvature of the coefficient of variation and the replications number was determined in scenarios of treatments number and differences between means to be detected as significant by Tukey test. To determine the fresh weight of triticale, the optimal plot size is 3.12 m2, with coefficient of variation of 13.69%. Six replications are sufficient to identify as significant, differences between treatment means of 25% for experiments with up to seven treatments and of 30% for experiments with up to 28 treatments, regardless of the experimental design. |
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Plot size and replications number for triticale experiments× Triticosecale Wittmackuniformity trialsexperiment planningABSTRACT: The hybridization between wheat and rye crops resulted in the triticale crop, which presents rusticity, versatility in animal and human food and possibility of use as a cover plant. The objective of this research was to determine the optimal plot size and the replications number to evaluate the fresh weight of triticale in two evaluation moments. An experiment was carried out with the triticale cultivar IPR111. The experimental area was divided into 48 uniformity trials, each containing 36 basic experimental units of 0.51 m2. The fresh weight was evaluated in 24 uniformity trials at 99 days after sowing (DAS) and in 24 uniformity trials at 127 DAS. The optimal plot size was determined by the method of the maximum curvature of the coefficient of variation and the replications number was determined in scenarios of treatments number and differences between means to be detected as significant by Tukey test. To determine the fresh weight of triticale, the optimal plot size is 3.12 m2, with coefficient of variation of 13.69%. Six replications are sufficient to identify as significant, differences between treatment means of 25% for experiments with up to seven treatments and of 30% for experiments with up to 28 treatments, regardless of the experimental design.Universidade Federal de Santa Maria2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020001100201Ciência Rural v.50 n.11 2020reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20200222info:eu-repo/semantics/openAccessToebe,MarcosCargnelutti Filho,AlbertoMello,Anderson ChuquelSouza,Rafael Rodrigues deSoares,Franciéle dos SantosSilva,Lucas Santos daSegatto,Alexandreeng2020-10-05T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Plot size and replications number for triticale experiments |
title |
Plot size and replications number for triticale experiments |
spellingShingle |
Plot size and replications number for triticale experiments Toebe,Marcos × Triticosecale Wittmack uniformity trials experiment planning |
title_short |
Plot size and replications number for triticale experiments |
title_full |
Plot size and replications number for triticale experiments |
title_fullStr |
Plot size and replications number for triticale experiments |
title_full_unstemmed |
Plot size and replications number for triticale experiments |
title_sort |
Plot size and replications number for triticale experiments |
author |
Toebe,Marcos |
author_facet |
Toebe,Marcos Cargnelutti Filho,Alberto Mello,Anderson Chuquel Souza,Rafael Rodrigues de Soares,Franciéle dos Santos Silva,Lucas Santos da Segatto,Alexandre |
author_role |
author |
author2 |
Cargnelutti Filho,Alberto Mello,Anderson Chuquel Souza,Rafael Rodrigues de Soares,Franciéle dos Santos Silva,Lucas Santos da Segatto,Alexandre |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Toebe,Marcos Cargnelutti Filho,Alberto Mello,Anderson Chuquel Souza,Rafael Rodrigues de Soares,Franciéle dos Santos Silva,Lucas Santos da Segatto,Alexandre |
dc.subject.por.fl_str_mv |
× Triticosecale Wittmack uniformity trials experiment planning |
topic |
× Triticosecale Wittmack uniformity trials experiment planning |
description |
ABSTRACT: The hybridization between wheat and rye crops resulted in the triticale crop, which presents rusticity, versatility in animal and human food and possibility of use as a cover plant. The objective of this research was to determine the optimal plot size and the replications number to evaluate the fresh weight of triticale in two evaluation moments. An experiment was carried out with the triticale cultivar IPR111. The experimental area was divided into 48 uniformity trials, each containing 36 basic experimental units of 0.51 m2. The fresh weight was evaluated in 24 uniformity trials at 99 days after sowing (DAS) and in 24 uniformity trials at 127 DAS. The optimal plot size was determined by the method of the maximum curvature of the coefficient of variation and the replications number was determined in scenarios of treatments number and differences between means to be detected as significant by Tukey test. To determine the fresh weight of triticale, the optimal plot size is 3.12 m2, with coefficient of variation of 13.69%. Six replications are sufficient to identify as significant, differences between treatment means of 25% for experiments with up to seven treatments and of 30% for experiments with up to 28 treatments, regardless of the experimental design. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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=S0103-84782020001100201 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020001100201 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-8478cr20200222 |
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 de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Rural v.50 n.11 2020 reponame:Ciência Rural instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Rural |
collection |
Ciência Rural |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140555192860672 |