Rice quality profiling to classify germplasm in breeding programs

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dc.contributor.author Ferreira, Ana Rita
dc.contributor.author Oliveira, Jorge C.
dc.contributor.author Pathania, Shivani
dc.contributor.author Almeida, Ana S.
dc.contributor.author Brites, Carla
dc.date.accessioned 2017-09-01T08:28:02Z
dc.date.available 2017-09-01T08:28:02Z
dc.date.issued 2017-05-11
dc.identifier.citation Ferreira, A. R., Oliveira, J., Pathania, S., Almeida, A. S. and Brites, C. (2017) 'Rice quality profiling to classify germplasm in breeding programs', Journal of Cereal Science, 76, pp. 17-27. doi:10.1016/j.jcs.2017.05.007 en
dc.identifier.volume 76 en
dc.identifier.startpage 17 en
dc.identifier.endpage 27 en
dc.identifier.issn 0733-5210
dc.identifier.uri http://hdl.handle.net/10468/4600
dc.identifier.doi 10.1016/j.jcs.2017.05.007
dc.description.abstract The objective of this work was to define a quality space for assessing rice varieties. Eleven long grain varieties, seven commercial and four new advanced lines were assessed to obtain complete quality profile considering appearance, physicochemical parameters, water absorption behaviour, pasting profile and textural attributes. Commercial varieties were chosen to provide the widest variation in properties, applying the variability analysis concepts of the Taguchi method, including Japonicas, Indicas, hybrids and aromatics. Quality parameters were measured in five different dimensions of quality space (totalling 50). Variable reduction techniques were applied to chose 3 parameters in each dimension (totalling 15 quality indicators) that would describe the whole space with greatest orthogonality, accuracy and yet explaining a significant proportion of the whole variance of data. The analysis of the quality space thus defined and similarities between varieties is illustrated with the conclusion of how the 4 new advanced lines perform in terms of quality behaviour, where it is concluded that one of them is very promising as an improvement over European (Indica) towards the behaviour of a pure Guyana (Indica), whereas 3 others have significant shortcomings in various aspects of the quality space compared to all others, albeit their greater closeness to Japonicas. en
dc.description.sponsorship Fundação para a Ciência e a Tecnologia (RECI/AGR-TEC/0285/2012, BEST-RICE-4-LIFE project) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier Ltd en
dc.rights © 2017, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Rice en
dc.subject Quality profile en
dc.subject Multivariate analysis en
dc.subject Breeding en
dc.title Rice quality profiling to classify germplasm in breeding programs en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Jorge Oliveira, Process & Chemical Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email: j.oliveira@ucc.ie en
dc.internal.availability Full text available en
dc.check.info Access to this article is restricted until 12 months after publication by request of the publisher. en
dc.check.date 2018-05-11
dc.date.updated 2017-09-01T08:18:39Z
dc.description.version Accepted Version en
dc.internal.rssid 409374792
dc.contributor.funder Fundação para a Ciência e a Tecnologia en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Journal of Cereal Science en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress j.oliveira@ucc.ie en


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© 2017, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. Except where otherwise noted, this item's license is described as © 2017, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
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