Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45088 |
Resumo: | The success of sugarcane (Saccharum spp.) breeding programs depends on the choice of productive parent lines that have a high industrial yield and are genetically divergent. This study assessed the genetic divergence and population structure of sugarcane accessions that are the parents of the RB05 Series of the Sugarcane Breeding Program of Brazil. The DNA of 82 accessions was evaluated using 36 simple sequence repeat markers. The Jaccard similarity coefficient and Unweighted Pair Group Method with Arithmetic Mean clustering method were used to generate a cluster that was divided into 17 distinct groups derived from probabilistic models. The similarity coefficient used in both cases showed that the degree of similarity varied from 0.4716 (RB971551 x RB965586) to 0.9526 (RB936001 x SP89-1115), with a mean of 0.8536. This result demonstrates a high similarity between the 82 accessions and confirms Wright’s F statistic (0.125), which indicates moderate genetic variability. The less-similar crosses suggest that breeders seek a higher number of crosses using cultivar RB965586, highlighting the RB971551 x RB965586 and RB965586 x RB855511 crosses. The results demonstrate that crosses such as RB936001 x SP89-1115 and RB945954 x RB896342 should be avoided because of their high genetic similarity. |
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Acta Scientiarum. Agronomy (Online) |
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Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markersGenetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markerspolymorphism content; UPGMA; similarity; RB Series.polymorphism contentUPGMAsimilarityRB SeriesThe success of sugarcane (Saccharum spp.) breeding programs depends on the choice of productive parent lines that have a high industrial yield and are genetically divergent. This study assessed the genetic divergence and population structure of sugarcane accessions that are the parents of the RB05 Series of the Sugarcane Breeding Program of Brazil. The DNA of 82 accessions was evaluated using 36 simple sequence repeat markers. The Jaccard similarity coefficient and Unweighted Pair Group Method with Arithmetic Mean clustering method were used to generate a cluster that was divided into 17 distinct groups derived from probabilistic models. The similarity coefficient used in both cases showed that the degree of similarity varied from 0.4716 (RB971551 x RB965586) to 0.9526 (RB936001 x SP89-1115), with a mean of 0.8536. This result demonstrates a high similarity between the 82 accessions and confirms Wright’s F statistic (0.125), which indicates moderate genetic variability. The less-similar crosses suggest that breeders seek a higher number of crosses using cultivar RB965586, highlighting the RB971551 x RB965586 and RB965586 x RB855511 crosses. The results demonstrate that crosses such as RB936001 x SP89-1115 and RB945954 x RB896342 should be avoided because of their high genetic similarity.The success of sugarcane (Saccharum spp.) breeding programs depends on the choice of productive parent lines that have a high industrial yield and are genetically divergent. This study assessed the genetic divergence and population structure of sugarcane accessions that are the parents of the RB05 Series of the Sugarcane Breeding Program of Brazil. The DNA of 82 accessions was evaluated using 36 simple sequence repeat markers. The Jaccard similarity coefficient and Unweighted Pair Group Method with Arithmetic Mean clustering method were used to generate a cluster that was divided into 17 distinct groups derived from probabilistic models. The similarity coefficient used in both cases showed that the degree of similarity varied from 0.4716 (RB971551 x RB965586) to 0.9526 (RB936001 x SP89-1115), with a mean of 0.8536. This result demonstrates a high similarity between the 82 accessions and confirms Wright’s F statistic (0.125), which indicates moderate genetic variability. The less-similar crosses suggest that breeders seek a higher number of crosses using cultivar RB965586, highlighting the RB971551 x RB965586 and RB965586 x RB855511 crosses. The results demonstrate that crosses such as RB936001 x SP89-1115 and RB945954 x RB896342 should be avoided because of their high genetic similarity.Universidade Estadual de Maringá2020-04-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4508810.4025/actasciagron.v42i1.45088Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e45088Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e450881807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45088/751375149835Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessZeni Neto, Hugo Borsuk, Luiz Gustavo da Mata Santos, Renato Frederico dosAngeli, Henrique Sanches Berton, Guilherme Souza Sousa, Lorena Lopes de2021-06-07T18:00:36Zoai:periodicos.uem.br/ojs:article/45088Revistahttp://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:2021-06-07T18:00:36Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers |
title |
Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers |
spellingShingle |
Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers Zeni Neto, Hugo polymorphism content; UPGMA; similarity; RB Series. polymorphism content UPGMA similarity RB Series |
title_short |
Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers |
title_full |
Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers |
title_fullStr |
Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers |
title_full_unstemmed |
Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers |
title_sort |
Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers |
author |
Zeni Neto, Hugo |
author_facet |
Zeni Neto, Hugo Borsuk, Luiz Gustavo da Mata Santos, Renato Frederico dos Angeli, Henrique Sanches Berton, Guilherme Souza Sousa, Lorena Lopes de |
author_role |
author |
author2 |
Borsuk, Luiz Gustavo da Mata Santos, Renato Frederico dos Angeli, Henrique Sanches Berton, Guilherme Souza Sousa, Lorena Lopes de |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Zeni Neto, Hugo Borsuk, Luiz Gustavo da Mata Santos, Renato Frederico dos Angeli, Henrique Sanches Berton, Guilherme Souza Sousa, Lorena Lopes de |
dc.subject.por.fl_str_mv |
polymorphism content; UPGMA; similarity; RB Series. polymorphism content UPGMA similarity RB Series |
topic |
polymorphism content; UPGMA; similarity; RB Series. polymorphism content UPGMA similarity RB Series |
description |
The success of sugarcane (Saccharum spp.) breeding programs depends on the choice of productive parent lines that have a high industrial yield and are genetically divergent. This study assessed the genetic divergence and population structure of sugarcane accessions that are the parents of the RB05 Series of the Sugarcane Breeding Program of Brazil. The DNA of 82 accessions was evaluated using 36 simple sequence repeat markers. The Jaccard similarity coefficient and Unweighted Pair Group Method with Arithmetic Mean clustering method were used to generate a cluster that was divided into 17 distinct groups derived from probabilistic models. The similarity coefficient used in both cases showed that the degree of similarity varied from 0.4716 (RB971551 x RB965586) to 0.9526 (RB936001 x SP89-1115), with a mean of 0.8536. This result demonstrates a high similarity between the 82 accessions and confirms Wright’s F statistic (0.125), which indicates moderate genetic variability. The less-similar crosses suggest that breeders seek a higher number of crosses using cultivar RB965586, highlighting the RB971551 x RB965586 and RB965586 x RB855511 crosses. The results demonstrate that crosses such as RB936001 x SP89-1115 and RB945954 x RB896342 should be avoided because of their high genetic similarity. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-03 |
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/45088 10.4025/actasciagron.v42i1.45088 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45088 |
identifier_str_mv |
10.4025/actasciagron.v42i1.45088 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45088/751375149835 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 |
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 42 (2020): Publicação contínua; e45088 Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e45088 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_ |
1799305911327522816 |