Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888

Detalhes bibliográficos
Autor(a) principal: Rocha, Mariella Camargo
Data de Publicação: 2010
Outros Autores: Gonçalves, Leandro Simões Azeredo, Rodrigues, Rosana, Silva, Paula Renata Alves da, Carmo, Margarida Goréte Ferreira do, Abboud, Antonio Carlos de Souza
Tipo de documento: Artigo
Idioma: por
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4888
Resumo: Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions. The joint analysis of qualitative and quantitative variables has been considered a useful tool to estimate the genetic divergence among accessions of a gene bank. The purpose of this research was: (i) to characterize a collection of cherry tomatoes, using quantitative and qualitative descriptors, and (ii) to use Gower’s algorithm to quantify genetic divergence among genotypes, employing a joint descriptors analysis. Forty accessions of organically grown cherry tomato were studied in Seropedica, Rio de Janeiro, Brazil. Four qualitative fruit descriptors and nine qualitative descriptors were used. Data were analyzed using Gower’s algorithm. There was variability for color, shape and number of locules per fruit. The red color was observed in fruits of 25 accessions. Fruit with different colors such as yellow, orange and brown were also observed. Regarding locule number, the presence of fruit with two, three, four and even with seven locules was detected. The UPGMA method resulted in the highest value for cophenetic correlation (0.80) and seven clusters were formed. The formed clusters made it possible to distinguish fruit classified as cherry tomato from other type grouped in different clusters, because the fruits this category were larger than cherry type considering the equatorial diameter of the fruit.
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spelling Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888Uso do algoritmo de Gower na determinação da divergência genética entre acessos de tomateiro do grupo cereja - doi: 10.4025/actasciagron.v32i3.4888Solanum lycopersicummultivariate analysisqualitative descriptorsquantitative descriptorsR softwareSolanum lycopersicumanálise multivariadadescritores qualitativosdescritores quantitativosprograma R5.01.03.05-9Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions. The joint analysis of qualitative and quantitative variables has been considered a useful tool to estimate the genetic divergence among accessions of a gene bank. The purpose of this research was: (i) to characterize a collection of cherry tomatoes, using quantitative and qualitative descriptors, and (ii) to use Gower’s algorithm to quantify genetic divergence among genotypes, employing a joint descriptors analysis. Forty accessions of organically grown cherry tomato were studied in Seropedica, Rio de Janeiro, Brazil. Four qualitative fruit descriptors and nine qualitative descriptors were used. Data were analyzed using Gower’s algorithm. There was variability for color, shape and number of locules per fruit. The red color was observed in fruits of 25 accessions. Fruit with different colors such as yellow, orange and brown were also observed. Regarding locule number, the presence of fruit with two, three, four and even with seven locules was detected. The UPGMA method resulted in the highest value for cophenetic correlation (0.80) and seven clusters were formed. The formed clusters made it possible to distinguish fruit classified as cherry tomato from other type grouped in different clusters, because the fruits this category were larger than cherry type considering the equatorial diameter of the fruit.A análise conjunta de variáveis qualitativas e quantitativas tem sido apontada como ferramenta útil na estimativa da divergência genética entre os acessos de uma coleção de germoplasma. O presente trabalho teve como objetivos caracterizar uma coleção de germoplasma de tomateiro do grupo cereja, com base em descritores qualitativos e quantitativos e utilizar o algoritmo de Gower na quantificação da divergência genética. Estudaram-se 40 acessos de tomateiro cereja, cultivados em manejo orgânico nas condições de Seropédica, Estado do Rio de Janeiro. Foram utilizados quatro descritores qualitativos relacionados aos frutos e nove descritores quantitativos. Os dados foram analisados de forma conjunta pelo algoritmo de Gower. Detectou-se variabilidade para coloração, formato e número de lóculos do fruto. A coloração vermelha foi observada em 25 acessos testados, registrando-se também a produção de frutos amarelos, laranjas e marrons. Para número de lóculos, foi registrada a ocorrência de frutos bi, tri, tetra e pluriloculares (com até sete lóculos). O método UPGMA foi o que obteve o maior coeficiente de correlação cofenética (0,80), observando-se a formação de sete grupos. Os grupos formados permitiram a distinção de frutos classificados como cereja e outros que não se adequaram a esta definição, por estarem acima do diâmetro equatorial proposto para esta classe.Universidade Estadual de Maringá2010-08-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/488810.4025/actasciagron.v32i3.4888Acta Scientiarum. Agronomy; Vol 32 No 3 (2010); 423-431Acta Scientiarum. Agronomy; v. 32 n. 3 (2010); 423-4311807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4888/4888Rocha, Mariella CamargoGonçalves, Leandro Simões AzeredoRodrigues, RosanaSilva, Paula Renata Alves daCarmo, Margarida Goréte Ferreira doAbboud, Antonio Carlos de Souzainfo:eu-repo/semantics/openAccess2022-11-23T18:38:09Zoai:periodicos.uem.br/ojs:article/4888Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:38:09Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888
Uso do algoritmo de Gower na determinação da divergência genética entre acessos de tomateiro do grupo cereja - doi: 10.4025/actasciagron.v32i3.4888
title Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888
spellingShingle Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888
Rocha, Mariella Camargo
Solanum lycopersicum
multivariate analysis
qualitative descriptors
quantitative descriptors
R software
Solanum lycopersicum
análise multivariada
descritores qualitativos
descritores quantitativos
programa R
5.01.03.05-9
title_short Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888
title_full Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888
title_fullStr Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888
title_full_unstemmed Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888
title_sort Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888
author Rocha, Mariella Camargo
author_facet Rocha, Mariella Camargo
Gonçalves, Leandro Simões Azeredo
Rodrigues, Rosana
Silva, Paula Renata Alves da
Carmo, Margarida Goréte Ferreira do
Abboud, Antonio Carlos de Souza
author_role author
author2 Gonçalves, Leandro Simões Azeredo
Rodrigues, Rosana
Silva, Paula Renata Alves da
Carmo, Margarida Goréte Ferreira do
Abboud, Antonio Carlos de Souza
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Rocha, Mariella Camargo
Gonçalves, Leandro Simões Azeredo
Rodrigues, Rosana
Silva, Paula Renata Alves da
Carmo, Margarida Goréte Ferreira do
Abboud, Antonio Carlos de Souza
dc.subject.por.fl_str_mv Solanum lycopersicum
multivariate analysis
qualitative descriptors
quantitative descriptors
R software
Solanum lycopersicum
análise multivariada
descritores qualitativos
descritores quantitativos
programa R
5.01.03.05-9
topic Solanum lycopersicum
multivariate analysis
qualitative descriptors
quantitative descriptors
R software
Solanum lycopersicum
análise multivariada
descritores qualitativos
descritores quantitativos
programa R
5.01.03.05-9
description Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions. The joint analysis of qualitative and quantitative variables has been considered a useful tool to estimate the genetic divergence among accessions of a gene bank. The purpose of this research was: (i) to characterize a collection of cherry tomatoes, using quantitative and qualitative descriptors, and (ii) to use Gower’s algorithm to quantify genetic divergence among genotypes, employing a joint descriptors analysis. Forty accessions of organically grown cherry tomato were studied in Seropedica, Rio de Janeiro, Brazil. Four qualitative fruit descriptors and nine qualitative descriptors were used. Data were analyzed using Gower’s algorithm. There was variability for color, shape and number of locules per fruit. The red color was observed in fruits of 25 accessions. Fruit with different colors such as yellow, orange and brown were also observed. Regarding locule number, the presence of fruit with two, three, four and even with seven locules was detected. The UPGMA method resulted in the highest value for cophenetic correlation (0.80) and seven clusters were formed. The formed clusters made it possible to distinguish fruit classified as cherry tomato from other type grouped in different clusters, because the fruits this category were larger than cherry type considering the equatorial diameter of the fruit.
publishDate 2010
dc.date.none.fl_str_mv 2010-08-25
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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format article
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dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4888
10.4025/actasciagron.v32i3.4888
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4888
identifier_str_mv 10.4025/actasciagron.v32i3.4888
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4888/4888
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 32 No 3 (2010); 423-431
Acta Scientiarum. Agronomy; v. 32 n. 3 (2010); 423-431
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
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instname_str Universidade Estadual de Maringá (UEM)
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institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
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