Estimate of the number of experiments and importance of morphoagronomic characters in lettuce
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista de Ciências Agrárias (Belém. Online) |
Texto Completo: | https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3508 |
Resumo: | In scientific research, the repetition of the experiment and the selection of variables-response improve the precision of the results and make the conclusions more assertive, allowing generalizations from the joint analysis. However, there are no official rules about how many times experiment should be repeated, as well as which variables best discriminate the evaluated treatments. For this reason, this research aimed to estimate the number of repetitions of experiments and indicate the importance of morphoagronomic characters of lettuce cv. ‘Veneranda’. Data from four experiments were considered, in which four soil covers were evaluated (SoilTain DW® geosynthetic blanket, white and black polypropylene mulching and uncovered soil) in the completely randomized design, with five replications. The number of experiments was estimated by the repeatability coefficient and the importance of the characters, estimated by Singh criteria. In general, the repeatability coefficients were of medium magnitude, in which the number of measurements ranged from 1 to 9 experiments and, for yield, four experiments are enough to accurately indicate the best treatments. The most discriminant variables were the number of leaves (39.47%) and their length (20.79%) and plant height (17.06%); leaf width and root mass variables may be discarded in future studies (0% contribution). The results indicate that the execution of a single experiment, common in lettuce researches, does not allow accurate conclusions, and should be a criterion to be considered in the experimental planning. |
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Estimate of the number of experiments and importance of morphoagronomic characters in lettuceEstimate of the number of experiments and importance of morphoagronomic characters in lettuceLactuca sativa L.principal componentsrepeatability coefficientsoil coversModeloLactuca sativa L.componentes principaiscoeficiente de repetibilidadecoberturas do soloModelIn scientific research, the repetition of the experiment and the selection of variables-response improve the precision of the results and make the conclusions more assertive, allowing generalizations from the joint analysis. However, there are no official rules about how many times experiment should be repeated, as well as which variables best discriminate the evaluated treatments. For this reason, this research aimed to estimate the number of repetitions of experiments and indicate the importance of morphoagronomic characters of lettuce cv. ‘Veneranda’. Data from four experiments were considered, in which four soil covers were evaluated (SoilTain DW® geosynthetic blanket, white and black polypropylene mulching and uncovered soil) in the completely randomized design, with five replications. The number of experiments was estimated by the repeatability coefficient and the importance of the characters, estimated by Singh criteria. In general, the repeatability coefficients were of medium magnitude, in which the number of measurements ranged from 1 to 9 experiments and, for yield, four experiments are enough to accurately indicate the best treatments. The most discriminant variables were the number of leaves (39.47%) and their length (20.79%) and plant height (17.06%); leaf width and root mass variables may be discarded in future studies (0% contribution). The results indicate that the execution of a single experiment, common in lettuce researches, does not allow accurate conclusions, and should be a criterion to be considered in the experimental planning.Na pesquisa científica, a repetição do experimento e a seleção das variáveis-resposta melhoram a precisão dos resultados e tornam mais assertiva as conclusões, possibilitando generalizações a partir da análise conjunta. Porém, não há informações quanto ao número de vezes que o experimento deverá ser conduzido, nem quais as variáveis que melhor discriminam os tratamentos avaliados. Por esta razão, nesta pesquisa, objetivou-se estimar o número de repetições de experimentos e indicar a importância de caracteres morfoagronômicos da alface cv. Veneranda. Foram considerados os dados de quatro experimentos, em que foram avaliadas quatro coberturas do solo (manta geossintética SoilTain DW®, mulching de polipropileno branco e preto, e o solo descoberto) no delineamento inteiramente casualizado, com cinco repetições. O número de experimentos foi estimado pelo coeficiente de repetibilidade e a importância dos caracteres, pelo critério de Singh. Em geral, os coeficientes de repetibilidade foram de média magnitude, em que o número de experimentos variou de 1 a 9, sendo que, para a produtividade, quatro experimentos são suficientes para indicar, com acurácia, os melhores tratamentos. As variáveis mais discriminantes foram o número de folhas (39,47%) e seu comprimento (20,79%) e a altura da planta (17,06%); largura foliar e massa da raiz poderão ser descartadas em futuros estudos em cultivos de alface (0% de contribuição). Os resultados indicam que a execução de um único experimento, comum em pesquisas com alface, não permite conclusões acuradas, devendo ser um critério a ser considerado no planejamento experimental.Universidade Federal Rural da Amazônia/UFRA2022-01-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoinfo:eu-repo/semantics/otherapplication/pdfhttps://ajaes.ufra.edu.br/index.php/ajaes/article/view/3508Amazonian Journal of Agricultural Sciences Journal of Agricultural and Environmental Sciences; Vol 65 (2022): RCA AJAESRevista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; v. 65 (2022): RCA AJAES2177-87601517-591Xreponame:Revista de Ciências Agrárias (Belém. Online)instname:Universidade Federal Rural da Amazônia (UFRA)instacron:UFRAporhttps://ajaes.ufra.edu.br/index.php/ajaes/article/view/3508/1647Copyright (c) 2022 José Anderson Soares Barros, Marcelo Cavalcantehttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessBarros, José Anderson SoaresCavalcante, Marcelo2022-07-05T15:09:29Zoai:ojs.www.periodicos.ufra.edu.br:article/3508Revistahttps://ajaes.ufra.edu.br/index.php/ajaes/PUBhttps://ajaes.ufra.edu.br/index.php/ajaes/oaiallan.lobato@ufra.edu.br || ajaes.suporte@gmail.com2177-87601517-591Xopendoar:2022-07-05T15:09:29Revista de Ciências Agrárias (Belém. Online) - Universidade Federal Rural da Amazônia (UFRA)false |
dc.title.none.fl_str_mv |
Estimate of the number of experiments and importance of morphoagronomic characters in lettuce Estimate of the number of experiments and importance of morphoagronomic characters in lettuce |
title |
Estimate of the number of experiments and importance of morphoagronomic characters in lettuce |
spellingShingle |
Estimate of the number of experiments and importance of morphoagronomic characters in lettuce Barros, José Anderson Soares Lactuca sativa L. principal components repeatability coefficient soil covers Modelo Lactuca sativa L. componentes principais coeficiente de repetibilidade coberturas do solo Model |
title_short |
Estimate of the number of experiments and importance of morphoagronomic characters in lettuce |
title_full |
Estimate of the number of experiments and importance of morphoagronomic characters in lettuce |
title_fullStr |
Estimate of the number of experiments and importance of morphoagronomic characters in lettuce |
title_full_unstemmed |
Estimate of the number of experiments and importance of morphoagronomic characters in lettuce |
title_sort |
Estimate of the number of experiments and importance of morphoagronomic characters in lettuce |
author |
Barros, José Anderson Soares |
author_facet |
Barros, José Anderson Soares Cavalcante, Marcelo |
author_role |
author |
author2 |
Cavalcante, Marcelo |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Barros, José Anderson Soares Cavalcante, Marcelo |
dc.subject.por.fl_str_mv |
Lactuca sativa L. principal components repeatability coefficient soil covers Modelo Lactuca sativa L. componentes principais coeficiente de repetibilidade coberturas do solo Model |
topic |
Lactuca sativa L. principal components repeatability coefficient soil covers Modelo Lactuca sativa L. componentes principais coeficiente de repetibilidade coberturas do solo Model |
description |
In scientific research, the repetition of the experiment and the selection of variables-response improve the precision of the results and make the conclusions more assertive, allowing generalizations from the joint analysis. However, there are no official rules about how many times experiment should be repeated, as well as which variables best discriminate the evaluated treatments. For this reason, this research aimed to estimate the number of repetitions of experiments and indicate the importance of morphoagronomic characters of lettuce cv. ‘Veneranda’. Data from four experiments were considered, in which four soil covers were evaluated (SoilTain DW® geosynthetic blanket, white and black polypropylene mulching and uncovered soil) in the completely randomized design, with five replications. The number of experiments was estimated by the repeatability coefficient and the importance of the characters, estimated by Singh criteria. In general, the repeatability coefficients were of medium magnitude, in which the number of measurements ranged from 1 to 9 experiments and, for yield, four experiments are enough to accurately indicate the best treatments. The most discriminant variables were the number of leaves (39.47%) and their length (20.79%) and plant height (17.06%); leaf width and root mass variables may be discarded in future studies (0% contribution). The results indicate that the execution of a single experiment, common in lettuce researches, does not allow accurate conclusions, and should be a criterion to be considered in the experimental planning. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-27 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Texto info:eu-repo/semantics/other |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3508 |
url |
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3508 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3508/1647 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 José Anderson Soares Barros, Marcelo Cavalcante https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 José Anderson Soares Barros, Marcelo Cavalcante https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural da Amazônia/UFRA |
publisher.none.fl_str_mv |
Universidade Federal Rural da Amazônia/UFRA |
dc.source.none.fl_str_mv |
Amazonian Journal of Agricultural Sciences Journal of Agricultural and Environmental Sciences; Vol 65 (2022): RCA AJAES Revista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; v. 65 (2022): RCA AJAES 2177-8760 1517-591X reponame:Revista de Ciências Agrárias (Belém. Online) instname:Universidade Federal Rural da Amazônia (UFRA) instacron:UFRA |
instname_str |
Universidade Federal Rural da Amazônia (UFRA) |
instacron_str |
UFRA |
institution |
UFRA |
reponame_str |
Revista de Ciências Agrárias (Belém. Online) |
collection |
Revista de Ciências Agrárias (Belém. Online) |
repository.name.fl_str_mv |
Revista de Ciências Agrárias (Belém. Online) - Universidade Federal Rural da Amazônia (UFRA) |
repository.mail.fl_str_mv |
allan.lobato@ufra.edu.br || ajaes.suporte@gmail.com |
_version_ |
1754826486708174848 |