Sampling sufficiency, correlation and path analysis in showy rattlebox
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Semina. Ciências Agrárias (Online) |
Texto Completo: | https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46112 |
Resumo: | It is important to adequately size the number of plants that should be evaluated to allow precise inferences about the traits under evaluation. The study of the linear relations among traits provides important information, especially in the identification of traits for indirect selection. So, the objectives of this work were to determine the sample size (number of plants) to estimate the mean of Crotalaria spectabilis traits and investigate the relations among traits. Were randomly selected 200 and 110 plants of C. spectabilis in the experiments conducted, respectively, in 2019/2020 and 2020/2021. In these 310 plants, the following traits were evaluated: plant height, stem diameter, number of nodes, number of leaves, leaf fresh matter, stem fresh matter, shoot fresh matter, leaf dry matter, stem dry matter and shoot dry matter. The sample size was calculated to estimate the mean of these traits, based on Student’s t-distribution, and the relations among traits were investigated through correlation and path analysis. To estimate the mean of these ten traits of C. spectabilis, with a maximum error of 10% of the mean and 95% confidence level, 64 plants are needed. In an experiment, to estimate the mean of each treatment with 10% precision, 64 plants per treatment must be evaluated. The number of leaves has a positive linear relation with the amount leaf, stem and shoot fresh and dry matter. |
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Semina. Ciências Agrárias (Online) |
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Sampling sufficiency, correlation and path analysis in showy rattleboxSuficiência amostral, correlação e análise de trilha em crotalária spectabilisCrotalaria spectabilisLinear relationsNumber of plantsSample sizing.Crotalaria spectabilisDimensionamento amostralNúmero de plantasRelações lineares.It is important to adequately size the number of plants that should be evaluated to allow precise inferences about the traits under evaluation. The study of the linear relations among traits provides important information, especially in the identification of traits for indirect selection. So, the objectives of this work were to determine the sample size (number of plants) to estimate the mean of Crotalaria spectabilis traits and investigate the relations among traits. Were randomly selected 200 and 110 plants of C. spectabilis in the experiments conducted, respectively, in 2019/2020 and 2020/2021. In these 310 plants, the following traits were evaluated: plant height, stem diameter, number of nodes, number of leaves, leaf fresh matter, stem fresh matter, shoot fresh matter, leaf dry matter, stem dry matter and shoot dry matter. The sample size was calculated to estimate the mean of these traits, based on Student’s t-distribution, and the relations among traits were investigated through correlation and path analysis. To estimate the mean of these ten traits of C. spectabilis, with a maximum error of 10% of the mean and 95% confidence level, 64 plants are needed. In an experiment, to estimate the mean of each treatment with 10% precision, 64 plants per treatment must be evaluated. The number of leaves has a positive linear relation with the amount leaf, stem and shoot fresh and dry matter.É importante dimensionar adequadamente o número de plantas que devem ser avaliadas para possibilitar inferências precisas sobre os caracteres em avaliação. O estudo das relações lineares entre caracteres fornece informações importantes, especialmente, na identificação de caracteres para seleção indireta. Assim, os objetivos deste trabalho foram determinar o tamanho de amostra (número de plantas) necessário para a estimação da média de caracteres de Crotalaria spectabilis e investigar as relações entre os caracteres. Foram selecionadas, aleatoriamente, 200 e 110 plantas de C. spectabilis, nos experimentos conduzidos, respectivamente, em 2019/2020 e 2020/2021. Nessas 310 plantas avaliaram-se os caracteres altura de planta, diâmetro de caule, número de nós, número de folhas, matéria fresca de folhas, matéria fresca de caule, matéria fresca de parte aérea, matéria seca de folhas, matéria seca de caule e matéria seca de parte aérea. Foi calculado o tamanho de amostra para a estimação da média desses caracteres, com base na distribuição t de Student e investigada a relação entre os caracteres por meio de análises de correlação e de trilha. Para a estimação da média, desses dez caracteres de C. spectabilis, com erro máximo de 10% da média e grau de confiança de 95%, são necessárias 64 plantas. Em um experimento, para a estimação da média de cada tratamento com 10% de precisão, devem ser avaliadas 64 plantas por tratamento. O número de folhas tem relação linear positiva com a quantidade de matérias fresca e seca de folhas, do caule e de parte aérea.UEL2023-03-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisaapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4611210.5433/1679-0359.2023v44n1p203Semina: Ciências Agrárias; Vol. 44 No. 1 (2023); 203-216Semina: Ciências Agrárias; v. 44 n. 1 (2023); 203-2161679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46112/48559Copyright (c) 2023 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCargnelutti Filho, AlbertoSilveira, Daniela LixinskiSomavilla, Felipe ManfioOsmari, Bruno FillipinOrtiz, Vithória Morena2023-09-28T18:44:01Zoai:ojs.pkp.sfu.ca:article/46112Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2023-09-28T18:44:01Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Sampling sufficiency, correlation and path analysis in showy rattlebox Suficiência amostral, correlação e análise de trilha em crotalária spectabilis |
title |
Sampling sufficiency, correlation and path analysis in showy rattlebox |
spellingShingle |
Sampling sufficiency, correlation and path analysis in showy rattlebox Cargnelutti Filho, Alberto Crotalaria spectabilis Linear relations Number of plants Sample sizing. Crotalaria spectabilis Dimensionamento amostral Número de plantas Relações lineares. |
title_short |
Sampling sufficiency, correlation and path analysis in showy rattlebox |
title_full |
Sampling sufficiency, correlation and path analysis in showy rattlebox |
title_fullStr |
Sampling sufficiency, correlation and path analysis in showy rattlebox |
title_full_unstemmed |
Sampling sufficiency, correlation and path analysis in showy rattlebox |
title_sort |
Sampling sufficiency, correlation and path analysis in showy rattlebox |
author |
Cargnelutti Filho, Alberto |
author_facet |
Cargnelutti Filho, Alberto Silveira, Daniela Lixinski Somavilla, Felipe Manfio Osmari, Bruno Fillipin Ortiz, Vithória Morena |
author_role |
author |
author2 |
Silveira, Daniela Lixinski Somavilla, Felipe Manfio Osmari, Bruno Fillipin Ortiz, Vithória Morena |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Cargnelutti Filho, Alberto Silveira, Daniela Lixinski Somavilla, Felipe Manfio Osmari, Bruno Fillipin Ortiz, Vithória Morena |
dc.subject.por.fl_str_mv |
Crotalaria spectabilis Linear relations Number of plants Sample sizing. Crotalaria spectabilis Dimensionamento amostral Número de plantas Relações lineares. |
topic |
Crotalaria spectabilis Linear relations Number of plants Sample sizing. Crotalaria spectabilis Dimensionamento amostral Número de plantas Relações lineares. |
description |
It is important to adequately size the number of plants that should be evaluated to allow precise inferences about the traits under evaluation. The study of the linear relations among traits provides important information, especially in the identification of traits for indirect selection. So, the objectives of this work were to determine the sample size (number of plants) to estimate the mean of Crotalaria spectabilis traits and investigate the relations among traits. Were randomly selected 200 and 110 plants of C. spectabilis in the experiments conducted, respectively, in 2019/2020 and 2020/2021. In these 310 plants, the following traits were evaluated: plant height, stem diameter, number of nodes, number of leaves, leaf fresh matter, stem fresh matter, shoot fresh matter, leaf dry matter, stem dry matter and shoot dry matter. The sample size was calculated to estimate the mean of these traits, based on Student’s t-distribution, and the relations among traits were investigated through correlation and path analysis. To estimate the mean of these ten traits of C. spectabilis, with a maximum error of 10% of the mean and 95% confidence level, 64 plants are needed. In an experiment, to estimate the mean of each treatment with 10% precision, 64 plants per treatment must be evaluated. The number of leaves has a positive linear relation with the amount leaf, stem and shoot fresh and dry matter. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pesquisa |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46112 10.5433/1679-0359.2023v44n1p203 |
url |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46112 |
identifier_str_mv |
10.5433/1679-0359.2023v44n1p203 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46112/48559 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Semina: Ciências Agrárias http://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 |
UEL |
publisher.none.fl_str_mv |
UEL |
dc.source.none.fl_str_mv |
Semina: Ciências Agrárias; Vol. 44 No. 1 (2023); 203-216 Semina: Ciências Agrárias; v. 44 n. 1 (2023); 203-216 1679-0359 1676-546X reponame:Semina. Ciências Agrárias (Online) instname:Universidade Estadual de Londrina (UEL) instacron:UEL |
instname_str |
Universidade Estadual de Londrina (UEL) |
instacron_str |
UEL |
institution |
UEL |
reponame_str |
Semina. Ciências Agrárias (Online) |
collection |
Semina. Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL) |
repository.mail.fl_str_mv |
semina.agrarias@uel.br |
_version_ |
1799306086768967680 |