Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1171631
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCRUZ, C. D.
dc.contributor.authorBHERING, L. L.
dc.contributor.authorFERREIRA, R. de P.
dc.date.accessioned2025-01-16T16:47:08Z-
dc.date.available2025-01-16T16:47:08Z-
dc.date.created2025-01-16
dc.date.issued2024
dc.identifier.citationIn: FERREIRA, R. de P.; BASIGALUP, D. H.; GIECO, J. O. (ed.). Genetic improvement of alfalfa. Brasília, DF : Embrapa, 2024.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1171631-
dc.descriptionIn this chapter we address several biometric and statistic principles which allow the researcher to analyze experimental data and to generate useful information for an alfalfa breeding program.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectBase population formation
dc.titleBiometric procedures applied to genetic improvement of alfalfa.
dc.typeParte de livro
dc.subject.thesagroAlfafa
dc.subject.thesagroMedicago Sativa
dc.subject.nalthesaurusDiallel analysis
dc.format.extent2p. 326-356.
riaa.ainfo.id1171631
riaa.ainfo.lastupdate2025-01-16
dc.contributor.institutionCOSME DAMIÃO CRUZ, UNIVERSIDADE FEDERAL DE VIÇOSA; LEONARDO LOPES BHERING, UNIVERSIDADE FEDERAL DE VIÇOSA; REINALDO DE PAULA FERREIRA, CPPSE.
Appears in Collections:Capítulo em livro científico (CPPSE)

Files in This Item:
File Description SizeFormat 
BiometricProceduresApplied.pdf658.38 kBAdobe PDFThumbnail
View/Open
Show simple item record

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace