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dc.contributor.author
Domingos Moiana, Leonel
dc.contributor.author
Soares Vidigal Filho, Pedro
dc.contributor.author
Gonçalves Vidigal, Maria Celeste
dc.contributor.author
Figueiredo Lacanallo, Giselly
dc.contributor.author
Galván, Marta Zulema
dc.contributor.author
de Carvalho, Luiz Paulo
dc.contributor.author
Maleia, Manuel Pedro
dc.contributor.author
Maritza Pacheco, Cynthia
dc.contributor.author
Ribeiro, Tiago
dc.contributor.author
Zeni Neto, Hugo
dc.contributor.author
Kelly Coimbra, Gislayne
dc.date.available
2023-05-16T11:50:06Z
dc.date.issued
2012-10
dc.identifier.citation
Domingos Moiana, Leonel ; Soares Vidigal Filho, Pedro; Gonçalves Vidigal, Maria Celeste ; Figueiredo Lacanallo, Giselly ; Galván, Marta Zulema; et al.; Genetic diversity and population structure of cotton (Gossypium hirsutum L. race latifolium H.) using microsatellite markers; Academic Journals; African Journal of Biotechnology; 11; 54; 10-2012; 11640-11647
dc.identifier.issn
1684-5315
dc.identifier.uri
http://hdl.handle.net/11336/197617
dc.description.abstract
Cotton (Gossypium spp.) is the world?s leading natural fiber crop and is cultivated in diverse temperate and tropical areas. The proper use of cotton genetic resources allows breeders to identify and select superior parents for breeding programs. In this sense, molecular markers are important tools for polymorphism identification in genetic diversity analyses. The objective of this study was to evaluate genetic diversity and population structure in tetraploid cotton (Gossypium hirsutum L. race latifolium H.) by means of microsatellite markers. 43 cultivars and inbred lines from Africa, United States and Brazil were analyzed. From a total of 33 SSRs markers, 15 markers revealed 104 polymorphic SSR alleles. Four groups were identified applying different methods (the probabilistic method, principal coordinates analysis and neighbor joining tree). American cultivars and inbred lines were included in group I; African cultivars in group II; and Brazilian cultivars in groups II, III and IV. The FST index indicated high genetic variability among the cultivars and inbred lines studied. In general, American cultivars were the most divergent in relation to African and Brazilian ones. The dissimilarity index ranged from 0.06 to 0.90 and the lowest genetic divergence was observed between TAMCOT22 and TAM96WD-69s(L). Combination of American cultivars and inbred lines with African and Brazilian cultivars is recommended to obtain superior transgressive segregants in order to improve yield in cotton breeding programs.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Academic Journals
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
cotton
dc.subject
microsatellites
dc.subject
diversity
dc.subject
population structure
dc.subject.classification
Biotecnología Agrícola y Biotecnología Alimentaria
dc.subject.classification
Biotecnología Agropecuaria
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
Genetic diversity and population structure of cotton (Gossypium hirsutum L. race latifolium H.) using microsatellite markers
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-05-15T14:03:02Z
dc.journal.volume
11
dc.journal.number
54
dc.journal.pagination
11640-11647
dc.journal.pais
Estados Unidos
dc.journal.ciudad
New York
dc.description.fil
Fil: Domingos Moiana, Leonel. No especifíca;
dc.description.fil
Fil: Soares Vidigal Filho, Pedro. Universidade Estadual de Maringá; Brasil
dc.description.fil
Fil: Gonçalves Vidigal, Maria Celeste. Universidade Estadual de Maringá; Brasil
dc.description.fil
Fil: Figueiredo Lacanallo, Giselly. Universidade Estadual de Maringá; Brasil
dc.description.fil
Fil: Galván, Marta Zulema. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta; Argentina. Instituto Nacional de Tecnología Agropecuaria; Argentina
dc.description.fil
Fil: de Carvalho, Luiz Paulo. No especifíca;
dc.description.fil
Fil: Maleia, Manuel Pedro. No especifíca;
dc.description.fil
Fil: Maritza Pacheco, Cynthia. Universidade Estadual de Maringá; Brasil
dc.description.fil
Fil: Ribeiro, Tiago. Universidade Estadual de Maringá; Brasil
dc.description.fil
Fil: Zeni Neto, Hugo. Universidade Estadual de Maringá; Brasil
dc.description.fil
Fil: Kelly Coimbra, Gislayne. Universidade Estadual de Maringá; Brasil
dc.journal.title
African Journal of Biotechnology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academicjournals.org/journal/AJB/article-abstract/1D3660132928
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5897/AJB11.4084
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