Prediction of maize double-cross hybrids using the best linear unbiased prediction with microsatellite marker information

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorBalestre, M.-
Autor(es): dc.creatorVon Pinho, R. G.-
Autor(es): dc.creatorSouza, J. C.-
Data de aceite: dc.date.accessioned2026-02-09T12:08:27Z-
Data de disponibilização: dc.date.available2026-02-09T12:08:27Z-
Data de envio: dc.date.issued2019-12-05-
Data de envio: dc.date.issued2019-12-05-
Data de envio: dc.date.issued2011-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/38019-
Fonte completa do material: dc.identifierhttps://www.geneticsmr.com/articles/1049-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1155186-
Descrição: dc.descriptionWe examined the usefulness of the best linear unbiased prediction associated with molecular markers for prediction of untested maize double-cross hybrids. Ten single-cross hybrids from different commercial backgrounds were crossed using a complete diallel design. These 10 single-cross hybrids were genotyped with 20 microsatellite markers. The best linear unbiased prediction associated with microsatellite information gave relatively good prediction ability of the double-cross hybrid performance, with correlations between observed phenotypic values and genotypic prediction values varying from 0.27 to 0.54. Taking into account the predictions of specific combing ability, the correlation between observed and predicted specific combining ability varied from 0.50 to 0.88. Based on these results, we infer that it is feasible to predict maize double-cross hybrids with different unbalance degrees without including any prior information about parental inbreed lines or single-cross hybrid performance.-
Idioma: dc.languageen-
Publicador: dc.publisherFundação de Pesquisas Científicas de Ribeirão Preto-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceGenetics and Molecular Research-
Palavras-chave: dc.subjectSimilarity-by-descent-
Palavras-chave: dc.subjectSpecific combining ability-
Palavras-chave: dc.subjectMolecular markers-
Palavras-chave: dc.subjectBest linear unbiased prediction-
Palavras-chave: dc.subjectMaize - Hybrids-
Palavras-chave: dc.subjectSimilaridade por descendência-
Palavras-chave: dc.subjectCapacidade de combinação específica-
Palavras-chave: dc.subjectMarcadores moleculares-
Palavras-chave: dc.subjectMelhor previsão imparcial linear-
Título: dc.titlePrediction of maize double-cross hybrids using the best linear unbiased prediction with microsatellite marker information-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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