- -

Diallel genetic analysis for multiple traits in eggplant and assessment of genetic distances for predicting hybrids performance

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Diallel genetic analysis for multiple traits in eggplant and assessment of genetic distances for predicting hybrids performance

Show simple item record

Files in this item

dc.contributor.author Kaushik, Prashant es_ES
dc.contributor.author Plazas Ávila, María de la O es_ES
dc.contributor.author Prohens Tomás, Jaime es_ES
dc.contributor.author Vilanova Navarro, Santiago es_ES
dc.contributor.author Gramazio, Pietro es_ES
dc.date.accessioned 2019-05-09T20:28:27Z
dc.date.available 2019-05-09T20:28:27Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1932-6203 es_ES
dc.identifier.uri http://hdl.handle.net/10251/120240
dc.description.abstract [EN] Evaluation and prediction of the performance of hybrids is important in eggplant (Solanum melongena) breeding. A set of 10 morphologically highly diverse eggplant parents, including nine inbred S. melongena and one weedy S. insanum accessions, were intercrossed according to a half-diallel mating design without reciprocals to obtain 45 hybrids. Parents and hybrids were evaluated for 14 morphological and agronomic conventional descriptors and 14 fruit morphometric traits using Tomato Analyzer. Genetic distances among parents were estimated with 7,335 polymorphic SNP markers. Wide ranges of variation and significant differences were observed in the set of 55 genotypes for all traits, although the hybrids group had significantly higher vigour and yield than parents. General and specific combining abilities (GCA and SCA) were significant for most (GCA) or all (SCA) traits, although a wide variation was obtained for GCA/SCA ratios. Many relevant traits associated to vigour and yield had low GCA/SCA ratios and narrow-sense heritability (h(2)) values, while the reverse occurred for most fruit shape descriptors. Broad-sense heritability (H-2) values were generally high, irrespective of GCA/SCA ratios. Significant correlations were found between traits related to size of leaf, flower and fruit, as well as among many fruit morphometric traits. Genetic distances (GD) among parents were coherent with their phylogenetic relationships, but few significant and generally low correlations were found between GD and hybrid means, heterosis or SCA. The results provide relevant information for developing appropriate strategies for parent selection and hybrid development in eggplant and suggest that GD among parents have limited value to predict hybrid performance in this crop. es_ES
dc.description.sponsorship This work has been funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No 677379 (G2P-SOL project: Linking genetic resources, genomes and phenotypes of Solanaceous crops) and from Spanish Ministerio de Economia, Industria y Competitividad and Fondo Europeo de Desarrollo Regional (grant AGL2015-64755R from MINECO/FEDER). Funding has also been received from the initiative "Adapting Agriculture to Climate Change: Collecting, Protecting and Preparing Crop Wild Relatives" (internal contract reference CROP/SC-310-03), which is supported by the Government of Norway. The project is managed by the Global Crop Diversity Trust with the Millennium Seed Bank of the Royal Botanic Gardens, Kew and implemented in partnership with national and international gene banks and plant breeding institutes around the world. For further information see the project website: http://www.cwrdiversity.org/. Prashant Kaushik is grateful to ICAR for a pre-doctoral grant. Pietro Gramazio is grateful to Universitat Politecnica de Valencia for a pre-doctoral (Programa FPI de la UPV-Subprograma 1/2013 call) contract. Mariola Plazas is grateful to Spanish Ministerio de Economia, Industria y Competitividad for a post-doctoral grant within the Juan de la Cierva programme (FCJI-2015-24835). Authors also thank the Italian Eggplant Genome Sequencing Consortium for providing access to an improved version of the eggplant genome. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. es_ES
dc.language Inglés es_ES
dc.publisher Public Library of Science es_ES
dc.relation EU/677379 es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//AGL2015-64755-R/ES/MEJORA GENETICA DE LA CALIDAD FUNCIONAL Y APARENTE DE LA BERENJENA/ es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//FJCI-2015-24835/ES/FJCI-2015-24835/
dc.relation Gobierno de Noruega/CROP/SC310-03
dc.relation.ispartof PLoS ONE es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification GENETICA es_ES
dc.title Diallel genetic analysis for multiple traits in eggplant and assessment of genetic distances for predicting hybrids performance es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1371/journal.pone.0199943 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/677379/EU/Linking genetic resources, genomes and phenotypes of Solanaceous crops/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Conservación y Mejora de la Agrodiversidad Valenciana - Institut Universitari de Conservació i Millora de l'Agrodiversitat Valenciana es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Biotecnología - Departament de Biotecnologia es_ES
dc.description.bibliographicCitation Kaushik, P.; Plazas Ávila, MDLO.; Prohens Tomás, J.; Vilanova Navarro, S.; Gramazio, P. (2018). Diallel genetic analysis for multiple traits in eggplant and assessment of genetic distances for predicting hybrids performance. PLoS ONE. 13(6). https://doi.org/10.1371/journal.pone.0199943 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1371/journal.pone.0199943 es_ES
dc.description.upvformatpinicio e0199943 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.description.issue 6 es_ES
dc.identifier.pmid 29949625
dc.identifier.pmcid PMC6021119
dc.relation.pasarela S\370793 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES
dc.contributor.funder Government of Norway


This item appears in the following Collection(s)

Show simple item record