Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072713
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dc.contributor.authorGOIS, I. B.
dc.contributor.authorBORÉM, A.
dc.contributor.authorCRISTOFANI-YALY, M.
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorAZEVEDO, C. F.
dc.contributor.authorBASTIANEL, M.
dc.contributor.authorNOVELLI, V. M.
dc.contributor.authorMACHADO, M. A.
dc.date.accessioned2018-01-03T23:18:49Z-
dc.date.available2018-01-03T23:18:49Z-
dc.date.created2017-07-14
dc.date.issued2016
dc.identifier.citationGenetics and Molecular Research, v. 15, n. 4, gmr15048863, Oct. 2016.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1072713-
dc.descriptionGenome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSeleção precoce
dc.subjectDarT_seq
dc.subjectSelective accuracy
dc.subjectMolecular markers
dc.titleGenome wide selection in citrus breeding.
dc.typeArtigo de periódico
dc.date.updated2018-01-03T23:18:49Zpt_BR
dc.subject.thesagroFruta cítrica
dc.subject.thesagroMelhoramento vegetal
dc.subject.thesagroMarcador Molecular
dc.subject.nalthesaurusCitrus
dc.subject.nalthesaurusPlant breeding
dc.subject.nalthesaurusearly selectionpt_BR
dc.subject.nalthesauruslinkage disequilibriumpt_BR
riaa.ainfo.id1072713
riaa.ainfo.lastupdate2018-01-03
dc.identifier.doihttp://dx.doi.org/10.4238/gmr15048863
dc.contributor.institutionI. B. Gois, Departamento de Fitotecnia, Universidade Federal de Viçosa; A. Borém, Departamento de Fitotecnia, Universidade Federal de Viçosa; M. Cristofani-Yaly, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; MARCOS DEON VILELA DE RESENDE, CNPF; C. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; M. Bastianel, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; V. M. Novelli, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; M. A. Machado, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira.
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