Changeover testing planning in animal experimentation
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Caderno de Ciências Agrárias (Online) |
Texto Completo: | https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35861 |
Resumo: | In experimentation with large animals, especially with dairy cows, it is very common to use alternative tests. In this type of trial, animals receive two or more treatments in sequence. The main justifications for the use of this particular type of assay are due to the high cost of the animals and the heterogeneity of these animals. These tests are basically classified into two types: Rotating Tests (Changeover) and Reversal Tests (Switch-back). To ensure that the effects of treatments are properly evaluated, pre-established rules and restrictions on randomization of treatments are necessary for planning such trials. Thus, the objective of this article is to present possible ways to plan changeover designs, and a routine was developed in the R software to determine the number of balanced changeovers of an order n, since in the literature the number of possible balanced changeovers was found only for experiments with a maximum of four treatments and the algebraic demonstration was not trivial until the time of obtaining the simulated results. It is concluded that the number of options to plan in changeover is much smaller and more restricted compared to planning in Latin square. |
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Changeover testing planning in animal experimentationPlanejamento de ensaios changeover na experimentação animalÁlgebra. Ensaios rotacionais. Quadrado latino. Simulação.Planejamento de experimentosAlgebraRotational tests Latin squareSimulation Experiment planningIn experimentation with large animals, especially with dairy cows, it is very common to use alternative tests. In this type of trial, animals receive two or more treatments in sequence. The main justifications for the use of this particular type of assay are due to the high cost of the animals and the heterogeneity of these animals. These tests are basically classified into two types: Rotating Tests (Changeover) and Reversal Tests (Switch-back). To ensure that the effects of treatments are properly evaluated, pre-established rules and restrictions on randomization of treatments are necessary for planning such trials. Thus, the objective of this article is to present possible ways to plan changeover designs, and a routine was developed in the R software to determine the number of balanced changeovers of an order n, since in the literature the number of possible balanced changeovers was found only for experiments with a maximum of four treatments and the algebraic demonstration was not trivial until the time of obtaining the simulated results. It is concluded that the number of options to plan in changeover is much smaller and more restricted compared to planning in Latin square.Na experimentação com animais de grande porte, principalmente com vacas leiteiras é muito comum à utilização de ensaios alternativos. Nesse tipo de ensaio os animais recebem em sequências dois ou mais tratamentos. As principais justificativas para o uso desse tipo particular de ensaio se devem ao alto custo dos animais e a heterogeneidade des[1]ses animais. Esses ensaios são classificados basicamente em dois tipos: Ensaios Rotativos (Changeover) e Ensaios de Reversão (Switch-back). Para garantir que os efeitos dos tratamentos sejam avaliados adequadamente, regras pré- -estabelecidas e restrições na casualização dos tratamentos são necessárias no planejamento de tais ensaios. Assim, o objetivo deste artigo é apresentar possíveis formas de se planejar delineamentos changeover e foi desenvolvida uma rotina no software R para a determinação do número de changeover balanceadas de uma ordem n, já que na literatura foi encontrado o número de possíveis changeover balanceadas apenas para experimentos com no máximo quatro tratamentos e a demonstração algébrica não era trivial até o momento de obter os resultados simulados. Conclui-se que o número de opções de se planejar em changeover é bem menor e mais restrito em comparação ao planejamento em quadrado latino.Universidade Federal de Minas Gerais2021-11-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/3586110.35699/2447-6218.2021.35861Agrarian Sciences Journal; Vol. 13 (2021); 1-10Caderno de Ciências Agrárias; v. 13 (2021); 1-102447-62181984-6738reponame:Caderno de Ciências Agrárias (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGporhttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/35861/29831https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35861/29832Copyright (c) 2021 Caderno de Ciências Agráriashttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessAlvarenga, Tatiane Carvalho Chaves, Lucas MonteiroLima, Renato Ribeiro de 2022-07-20T21:10:48Zoai:periodicos.ufmg.br:article/35861Revistahttps://periodicos.ufmg.br/index.php/ccaufmgPUBhttps://periodicos.ufmg.br/index.php/ccaufmg/oaiccaufmg@ica.ufmg.br2447-62181984-6738opendoar:2022-07-20T21:10:48Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Changeover testing planning in animal experimentation Planejamento de ensaios changeover na experimentação animal |
title |
Changeover testing planning in animal experimentation |
spellingShingle |
Changeover testing planning in animal experimentation Alvarenga, Tatiane Carvalho Álgebra. Ensaios rotacionais. Quadrado latino. Simulação. Planejamento de experimentos Algebra Rotational tests Latin square Simulation Experiment planning |
title_short |
Changeover testing planning in animal experimentation |
title_full |
Changeover testing planning in animal experimentation |
title_fullStr |
Changeover testing planning in animal experimentation |
title_full_unstemmed |
Changeover testing planning in animal experimentation |
title_sort |
Changeover testing planning in animal experimentation |
author |
Alvarenga, Tatiane Carvalho |
author_facet |
Alvarenga, Tatiane Carvalho Chaves, Lucas Monteiro Lima, Renato Ribeiro de |
author_role |
author |
author2 |
Chaves, Lucas Monteiro Lima, Renato Ribeiro de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Alvarenga, Tatiane Carvalho Chaves, Lucas Monteiro Lima, Renato Ribeiro de |
dc.subject.por.fl_str_mv |
Álgebra. Ensaios rotacionais. Quadrado latino. Simulação. Planejamento de experimentos Algebra Rotational tests Latin square Simulation Experiment planning |
topic |
Álgebra. Ensaios rotacionais. Quadrado latino. Simulação. Planejamento de experimentos Algebra Rotational tests Latin square Simulation Experiment planning |
description |
In experimentation with large animals, especially with dairy cows, it is very common to use alternative tests. In this type of trial, animals receive two or more treatments in sequence. The main justifications for the use of this particular type of assay are due to the high cost of the animals and the heterogeneity of these animals. These tests are basically classified into two types: Rotating Tests (Changeover) and Reversal Tests (Switch-back). To ensure that the effects of treatments are properly evaluated, pre-established rules and restrictions on randomization of treatments are necessary for planning such trials. Thus, the objective of this article is to present possible ways to plan changeover designs, and a routine was developed in the R software to determine the number of balanced changeovers of an order n, since in the literature the number of possible balanced changeovers was found only for experiments with a maximum of four treatments and the algebraic demonstration was not trivial until the time of obtaining the simulated results. It is concluded that the number of options to plan in changeover is much smaller and more restricted compared to planning in Latin square. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35861 10.35699/2447-6218.2021.35861 |
url |
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35861 |
identifier_str_mv |
10.35699/2447-6218.2021.35861 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35861/29831 https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35861/29832 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Caderno de Ciências Agrárias http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Caderno de Ciências Agrárias http://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.source.none.fl_str_mv |
Agrarian Sciences Journal; Vol. 13 (2021); 1-10 Caderno de Ciências Agrárias; v. 13 (2021); 1-10 2447-6218 1984-6738 reponame:Caderno de Ciências Agrárias (Online) instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Caderno de Ciências Agrárias (Online) |
collection |
Caderno de Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
ccaufmg@ica.ufmg.br |
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1797042442006953984 |