Sampling sufficiency, correlation and path analysis in showy rattlebox

Detalhes bibliográficos
Autor(a) principal: Cargnelutti Filho, Alberto
Data de Publicação: 2023
Outros Autores: Silveira, Daniela Lixinski, Somavilla, Felipe Manfio, Osmari, Bruno Fillipin, Ortiz, Vithória Morena
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.
id UEL-11_5e09135d77085479d242a7050d48e233
oai_identifier_str oai:ojs.pkp.sfu.ca:article/46112
network_acronym_str UEL-11
network_name_str Semina. Ciências Agrárias (Online)
repository_id_str
spelling 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