Using Gower’s algorithm on the genetic divergence determination among cherry tomato accessions - doi: 10.4025/actasciagron.v32i3.4888
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , |
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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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 info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
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) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
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) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305907030458368 |