Rice plant pattern as predictor of the milling and cooking quality in breeding programs

dc.contributor.authorOrtiz-Romero, C.
dc.contributor.authorAlmeida, Ana S.
dc.contributor.authorPathania, S.
dc.contributor.authorSilva, Carla
dc.contributor.authorLourenco, D.
dc.contributor.authorOliveira, Jorge C.
dc.contributor.authorBrites, C.
dc.contributor.funderFundação para a Ciência e a Tecnologiaen
dc.contributor.funderEuropean Social Funden
dc.date.accessioned2018-12-13T10:02:14Z
dc.date.available2018-12-13T10:02:14Z
dc.date.issued2018-06
dc.date.updated2018-12-13T09:49:28Z
dc.description.abstractAn appropriate characterization of agronomic and quality traits is a fundamental tool for selecting stable genotypes suitable to be registered as new varieties. The objective of this work was to evaluate agronomic and quality traits of rice germplasm tested in two consecutive years for 23 advanced lines of Portuguese Rice Breeding Program and 3 commercial varieties. The influence of genotype, year and their interaction on grain yield and milling yield, grain uniformity and selected quality indicators for rice was assessed as well as the correlations between the agronomic, biometric and quality parameters. Results showed a generally dominant influence of the genotype, but with some quality parameters significantly affected by year conditions, and with some genotypes more stable than others. Some accessions have also shown better grain biometric uniformity within a year and between years. Significant correlations between quality and agronomic parameters that were observed may mark a plant pattern that can be used as predictor of the milling yield. These analyses provide objective tools for selecting most promising genotypes in rice breeding programs.en
dc.description.sponsorshipPortuguese Fundação para a Ciência e Tecnologia (FCT grant agreement number RECI/AGRTEC/0285/2012, BEST-RICE-4-LIFE project); Instituto de Investigación y Formación Agraria y Pesquera de Andalucía (IFAPA); European Social Fund (ESF Operative Program for Andalusia 2007-2013);en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationOrtiz-Romero, C., Almeida, A. S., Pathania, S., Silva, C., Lourenco, D., Oliveira, J. and Brites, C. (2018) 'Rice plant pattern as predictor of the milling and cooking quality in breeding programs', Emirates Journal Of Food And Agriculture, 30, pp. 463-481. doi: 10.9755/ejfa.2018.v30.i6.1727en
dc.identifier.doi10.9755/ejfa.2018.v30.i6.1727
dc.identifier.endpage481en
dc.identifier.issn2079-052X
dc.identifier.issn2079-0538
dc.identifier.journaltitleEmirates Journal Of Food And Agricultureen
dc.identifier.startpage463en
dc.identifier.urihttps://hdl.handle.net/10468/7213
dc.identifier.volume30en
dc.language.isoenen
dc.publisherUnited Arab Emirates Universityen
dc.relation.projectPortuguese Fundação para a Ciência e Tecnologia ((FCT) under the grant agreement number RECI/AGRTEC/0285/2012, BEST-RICE-4-LIFE project); Instituto de Investigación y Formación Agraria y Pesquera de Andalucía (IFAPA);en
dc.relation.urihttps://www.ejfa.me/index.php/journal/article/view/1727
dc.rights© 2018 United Arab Emirates University. The publication is licensed under a Creative Commons Licenseen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectIndustrial qualityen
dc.subjectRice breedingen
dc.subjectScreening testsen
dc.subjectStable genotypesen
dc.subjectOryza-sativa l.en
dc.subjectHigh-temperatureen
dc.subjectYielden
dc.subjectNitrogenen
dc.subjectBasmatien
dc.titleRice plant pattern as predictor of the milling and cooking quality in breeding programsen
dc.typeArticle (peer-reviewed)en
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