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dc.contributor.authorCARVALHO, B. L.eng
dc.contributor.authorRAMALHO, M. A. P.eng
dc.contributor.authorVIEIRA JÚNIOR, I. C.eng
dc.contributor.authorABREU, A. de F. B.eng
dc.date.accessioned2020-04-23T00:52:53Z-
dc.date.available2020-04-23T00:52:53Z-
dc.date.created2020-04-22
dc.date.issued2017
dc.identifier.citationCrop Breeding and Applied Biotechnology, v. 17, n. 2, p. 115-123, Apr./June 2017.eng
dc.identifier.issn1984-7033eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1121764-
dc.descriptionThe methodology available for evaluating the cooking quality of dry beans is impractical for assessing a large number of progenies. The aims of this study were to propose a new strategy for evaluating cooking quality of grains and to estimate genetic and phenotypic parameters using a selection index. A total of 256 progenies of the 13thcycle of a recurrent selection program were evaluated at three locations for yield, grain type, and cooked grains. Samples of grains from each progeny were placing in a cooker and the percentage of cooked grains was assessed. The new strategy for evaluating cooking quality was efficient because it allowed a nine-fold increase in the number of progenies evaluated per unit time in comparison to available methods. The absence of association between grain yield and percentage of cooked grains or grain type indicated that it is possible to select high yielding lines with excellent grain aspect and good cooking properties using a selection index.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.titleNew strategy for evaluating grain cooking quality of progenies in dry bean breeding programs.eng
dc.typeArtigo de periódicoeng
dc.date.updated2020-04-23T00:52:53Z
dc.subject.thesagroFeijãoeng
dc.subject.thesagroPhaseolus Vulgariseng
dc.subject.thesagroMelhoramento Genético Vegetaleng
dc.subject.thesagroÍndice de Seleçãoeng
dc.subject.thesagroSeleção Recorrenteeng
dc.subject.nalthesaurusBeanseng
dc.subject.nalthesaurusPlant breedingeng
dc.subject.nalthesaurusSelection indexeng
dc.subject.nalthesaurusQuantitative geneticseng
dc.subject.nalthesaurusRecurrent selectioneng
riaa.ainfo.id1121764eng
riaa.ainfo.lastupdate2020-04-22
dc.identifier.doi10.1590/1984-70332017v17n2a18eng
dc.contributor.institutionBRUNA LINE CARVALHO, UFLA; MAGNO ANTONIO PATTO RAMALHO, UFLA; INDALÉCIO CUNHA VIEIRA JUNIOR, UFLA; ANGELA DE FATIMA BARBOSA ABREU, CNPAF.eng
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