Mostrar el registro sencillo del ítem

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