Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/212217
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dc.contributor.authorABREU, A. de F. B.eng
dc.contributor.authorRAMALHO, M. A. P.eng
dc.contributor.authorSANTOS, J. B. doseng
dc.date.accessioned2020-01-14T18:10:23Z-
dc.date.available2020-01-14T18:10:23Z-
dc.date.created2004-04-27
dc.date.issued2002
dc.identifier.citationGenetics and Molecular Biology, v. 25, n. 3, p. 323-327, 2002.eng
dc.identifier.issn1678-4685eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/212217-
dc.descriptionEarliest possible prediction of seed-yield potential of autogamous crop populations increases breeding program efficiency by saving time and resources. Alternatives for obtaining seed-yield predictions were compared by evaluating four common-bean populations in F1 and F2 generations together with the parents. Mean components (m + a' and d) and variances were estimated. The potential of each population was predicted by using both these and the Jinks and Pooni (1976) procedure, which allows probability estimation of each population of originating lines surpassing a determined standard. Estimate efficiency was determined by evaluating performances of 62 F5:7 families from each population. Mean component m + a' estimates obtained for the F1 and F2 generations proved efficient in predicting seed yield of F7 generation lines as did d for estimate variance among F7 generation families. In addition, the Jinks and Pooni (1976) procedure proved efficient in early prediction of common bean population genetic potentials, especially when using the m + a' estimate.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectChoice of parentseng
dc.subjectMean componentseng
dc.titlePrediction of seed-yield potential of common bean populations.eng
dc.typeArtigo de periódicoeng
dc.date.updated2020-04-22T11:11:11Z
dc.subject.thesagroFeijãoeng
dc.subject.thesagroMelhoramentoeng
dc.subject.thesagroPhaseolus Vulgariseng
dc.subject.nalthesaurusBeanseng
dc.subject.nalthesaurusPlant breedingeng
dc.subject.nalthesaurusHeritabilityeng
riaa.ainfo.id212217eng
riaa.ainfo.lastupdate2020-04-22 -03:00:00
dc.identifier.doi10.1590/S1415-47572002000300013eng
dc.contributor.institutionANGELA DE FATIMA BARBOSA ABREU, CNPAF; MAGNO ANTONIO PATTO RAMALHO, UFLA; JOÃO BOSCO DOS SANTOS, UFLA.eng
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