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dc.contributor.author
Espósito, María Andrea  
dc.contributor.author
Bermejo, Carolina Julieta  
dc.contributor.author
Gatti, Ileana  
dc.contributor.author
Guindón, María Fernanda  
dc.contributor.author
Cravero, Vanina Pamela  
dc.contributor.author
Cointry Peix, Enrique Luis  
dc.date.available
2017-12-12T14:04:38Z  
dc.date.issued
2014-07  
dc.identifier.citation
Espósito, María Andrea; Bermejo, Carolina Julieta; Gatti, Ileana; Guindón, María Fernanda; Cravero, Vanina Pamela; et al.; Prediction of heterotic crosses for yield in Pisum sativum L; Elsevier Science; Scientia Horticulturae; 177; 7-2014; 53-62  
dc.identifier.issn
0304-4238  
dc.identifier.uri
http://hdl.handle.net/11336/30244  
dc.description.abstract
Efficient parent’s selection and heterosis prediction in pea have been of great interest for breeders in order to determine with anticipation, those crosses capable of producing a high frequency of transgresive recombinant lines. The combining ability is the most frequently used criteria to select parents, though its estimation is costly and time-consuming. In this study we examine heterotic crosses for yield determined by morphological and molecular genetic distances between parents, and compare these with the heterotic crosses established by specific combing ability in a line × tester design. To select parental lines that would generate heterotic hybrids, different criteria were applied: genetic distances between lines obtained through morphological traits and molecular markers and cluster analysis. Inspite genetic distances were more efficient than cluster analysis, the correlations values between them and heterosis were weak, and so, we propose to change the way to measure the importance of the genetic distances using the percentage of heterotic crosses that can be successfully predicted as parameter to evaluate. The percentage of heterotic crosses comparing best parent heterosis was higher than the one obtained comparing midparent heterosis. SRAP methodology based on Dice distance between the parental lines and the Euclidean distances based in morphological data collection are the best alternative to SCA grouping association, since 69% and 65% of heterotic crosses can be predicted  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Pea  
dc.subject
Heterosis  
dc.subject
Combining Ability  
dc.subject
Genetic Distances  
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Molecular Markers  
dc.subject.classification
Otras Biotecnología Agropecuaria  
dc.subject.classification
Biotecnología Agropecuaria  
dc.subject.classification
CIENCIAS AGRÍCOLAS  
dc.title
Prediction of heterotic crosses for yield in Pisum sativum L  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-12-11T14:56:22Z  
dc.journal.volume
177  
dc.journal.pagination
53-62  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Espósito, María Andrea. Universidad Nacional de Rosario; Argentina  
dc.description.fil
Fil: Bermejo, Carolina Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Gatti, Ileana. Universidad Nacional de Rosario; Argentina  
dc.description.fil
Fil: Guindón, María Fernanda. Universidad Nacional de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Cravero, Vanina Pamela. Universidad Nacional de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Cointry Peix, Enrique Luis. Universidad Nacional de Rosario; Argentina  
dc.journal.title
Scientia Horticulturae  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.scienta.2014.07.033  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0304423814004178