Phenotyping methods and phenological stages to quantify the root system of common bean
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/27413 |
Resumo: | The objective of this work was to evaluate root phenotyping methods and the ideal phenological stage to quantify the root system of fixed and segregating common bean populations, in order to select superior genotypes. The experiment was carried out in two municipalities in the state of Santa Catarina, Brazil, and the treatments consisted of six genotypes, the Shovelomics and WinRHIZO root phenotyping methods, and the V4-4, R6, and R8 phenological stages. The simple lattice experimental design was used to evaluate the following variables: basal root angle, vertical root length, left and right horizontal root length, total root length, projected area, and root average volume and diameter. For all variables, there was a significant interaction between phenotyping methods and phenological stages, showing their influence on root system evaluation. The Shovelomics and WinRHIZO phenotyping methods are efficient in quantifying the root system of common bean plants and show specificity for phenological stages, regardless of the genotype. The quantification of the root system of fixed and segregating genotypes is analogous in both methods. The Shovelomics method is more efficient in evaluating the root system of common bean at the R8 stage, and the WinRHIZO method, at the R6 stage. |
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Phenotyping methods and phenological stages to quantify the root system of common beanMétodos de fenotipagem e estádios fenológicos para quantificar o sistema radicular de feijoeiroPhaseolus vulgaris; Andean gene pool; Mesoamerican gene pool; plant breeding; Shovelomics; WinRHIZOPhaseolus vulgaris; pool gênico andino; pool gênico mesoamericano; melhoramento de plantas; Shovelomics; WinRHIZOThe objective of this work was to evaluate root phenotyping methods and the ideal phenological stage to quantify the root system of fixed and segregating common bean populations, in order to select superior genotypes. The experiment was carried out in two municipalities in the state of Santa Catarina, Brazil, and the treatments consisted of six genotypes, the Shovelomics and WinRHIZO root phenotyping methods, and the V4-4, R6, and R8 phenological stages. The simple lattice experimental design was used to evaluate the following variables: basal root angle, vertical root length, left and right horizontal root length, total root length, projected area, and root average volume and diameter. For all variables, there was a significant interaction between phenotyping methods and phenological stages, showing their influence on root system evaluation. The Shovelomics and WinRHIZO phenotyping methods are efficient in quantifying the root system of common bean plants and show specificity for phenological stages, regardless of the genotype. The quantification of the root system of fixed and segregating genotypes is analogous in both methods. The Shovelomics method is more efficient in evaluating the root system of common bean at the R8 stage, and the WinRHIZO method, at the R6 stage.O objetivo deste trabalho foi avaliar métodos de fenotipagem de raízes e o estádio fenológico ideal para quantificação do sistema radicular de populações fixas e segregantes de feijoeiro, para selecionar genótipos superiores. O experimento foi realizado em dois municípios do estado de Santa Catarina, Brasil, e os tratamentos consistiram em seis genótipos, nos métodos de fenotipagem Shovelomics e WinRHIZO, e nos estádios fenológicos V4-4, R6 e R8. O delineamento experimental látice simples foi utilizado para avaliar as seguintes variáveis: ângulo de raiz basal, comprimento vertical das raízes, comprimento horizontal esquerdo e direito das raízes, comprimento total das raízes, área projetada, e volume e diâmetro médio de raízes. Para todas as variáveis, houve interação significativa entre os métodos de fenotipagem e os estádios fenológicos, o que mostra a influência desses na avaliação do sistema radicular. Os métodos de fenotipagem Shovelomics e WinRHIZO são eficientes para a quantificação do sistema radicular do feijoeiro e apresentam especificidade para o estádio fenológico, independentemente do genótipo. A quantificação do sistema radicular de genótipos fixos e segregantes é análoga em ambos os métodos. O método Shovelomics é mais eficiente para avaliar o sistema radicular do feijoeiro na fase R8, e o método WinRHIZO, na fase R6.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraFundação de Amparo à Pesquisa do Estado de Santa CatarinaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de Santa CatarinaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorCerutti, Paulo HenriqueMelo, Rita Carolina deCarbonari, Luan Tiago dos SantosSchwarzer, Pedro AntonioGuidolin, Altamir FredericoCoimbra, Jefferson Luís MeirellesPrimieri, Silmar2023-08-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/27413Pesquisa Agropecuaria Brasileira; V.58, Jan./Dec., 2023: Publicação contínua em volume anual; e03169Pesquisa Agropecuária Brasileira; V.58, Jan./Dec., 2023: Publicação contínua em volume anual; e031691678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/27413/15186Direitos autorais 2023 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2023-12-14T19:04:57Zoai:ojs.seer.sct.embrapa.br:article/27413Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2023-12-14T19:04:57Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Phenotyping methods and phenological stages to quantify the root system of common bean Métodos de fenotipagem e estádios fenológicos para quantificar o sistema radicular de feijoeiro |
title |
Phenotyping methods and phenological stages to quantify the root system of common bean |
spellingShingle |
Phenotyping methods and phenological stages to quantify the root system of common bean Cerutti, Paulo Henrique Phaseolus vulgaris; Andean gene pool; Mesoamerican gene pool; plant breeding; Shovelomics; WinRHIZO Phaseolus vulgaris; pool gênico andino; pool gênico mesoamericano; melhoramento de plantas; Shovelomics; WinRHIZO |
title_short |
Phenotyping methods and phenological stages to quantify the root system of common bean |
title_full |
Phenotyping methods and phenological stages to quantify the root system of common bean |
title_fullStr |
Phenotyping methods and phenological stages to quantify the root system of common bean |
title_full_unstemmed |
Phenotyping methods and phenological stages to quantify the root system of common bean |
title_sort |
Phenotyping methods and phenological stages to quantify the root system of common bean |
author |
Cerutti, Paulo Henrique |
author_facet |
Cerutti, Paulo Henrique Melo, Rita Carolina de Carbonari, Luan Tiago dos Santos Schwarzer, Pedro Antonio Guidolin, Altamir Frederico Coimbra, Jefferson Luís Meirelles Primieri, Silmar |
author_role |
author |
author2 |
Melo, Rita Carolina de Carbonari, Luan Tiago dos Santos Schwarzer, Pedro Antonio Guidolin, Altamir Frederico Coimbra, Jefferson Luís Meirelles Primieri, Silmar |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Fundação de Amparo à Pesquisa do Estado de Santa Catarina Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Fundação de Amparo à Pesquisa do Estado de Santa Catarina Coordenação de Aperfeiçoamento de Pessoal de Nível Superior |
dc.contributor.author.fl_str_mv |
Cerutti, Paulo Henrique Melo, Rita Carolina de Carbonari, Luan Tiago dos Santos Schwarzer, Pedro Antonio Guidolin, Altamir Frederico Coimbra, Jefferson Luís Meirelles Primieri, Silmar |
dc.subject.por.fl_str_mv |
Phaseolus vulgaris; Andean gene pool; Mesoamerican gene pool; plant breeding; Shovelomics; WinRHIZO Phaseolus vulgaris; pool gênico andino; pool gênico mesoamericano; melhoramento de plantas; Shovelomics; WinRHIZO |
topic |
Phaseolus vulgaris; Andean gene pool; Mesoamerican gene pool; plant breeding; Shovelomics; WinRHIZO Phaseolus vulgaris; pool gênico andino; pool gênico mesoamericano; melhoramento de plantas; Shovelomics; WinRHIZO |
description |
The objective of this work was to evaluate root phenotyping methods and the ideal phenological stage to quantify the root system of fixed and segregating common bean populations, in order to select superior genotypes. The experiment was carried out in two municipalities in the state of Santa Catarina, Brazil, and the treatments consisted of six genotypes, the Shovelomics and WinRHIZO root phenotyping methods, and the V4-4, R6, and R8 phenological stages. The simple lattice experimental design was used to evaluate the following variables: basal root angle, vertical root length, left and right horizontal root length, total root length, projected area, and root average volume and diameter. For all variables, there was a significant interaction between phenotyping methods and phenological stages, showing their influence on root system evaluation. The Shovelomics and WinRHIZO phenotyping methods are efficient in quantifying the root system of common bean plants and show specificity for phenological stages, regardless of the genotype. The quantification of the root system of fixed and segregating genotypes is analogous in both methods. The Shovelomics method is more efficient in evaluating the root system of common bean at the R8 stage, and the WinRHIZO method, at the R6 stage. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-08-28 |
dc.type.none.fl_str_mv |
|
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://seer.sct.embrapa.br/index.php/pab/article/view/27413 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/27413 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/27413/15186 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2023 Pesquisa Agropecuária Brasileira info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2023 Pesquisa Agropecuária Brasileira |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; V.58, Jan./Dec., 2023: Publicação contínua em volume anual; e03169 Pesquisa Agropecuária Brasileira; V.58, Jan./Dec., 2023: Publicação contínua em volume anual; e03169 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416650635083776 |