Best linear unbiased prediction in combination with path analysis in processing grapes

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorInstituto Agronômico/Centro Avançado de Pesquisa e Desenvolvimento de Frutas-
Autor(es): dc.contributorInstituto Agronômico/Centro de Fibras e Grãos-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorRodrigues, Cinthia Souza-
Autor(es): dc.creatorMoura, Mara Fernandes-
Autor(es): dc.creatorde Oliveira, Geovani Luciano-
Autor(es): dc.creatorda Silva, Marlon Jocimar Rodrigues-
Autor(es): dc.creatorTecchio, Marco Antonio-
Data de aceite: dc.date.accessioned2025-08-21T21:23:42Z-
Data de disponibilização: dc.date.available2025-08-21T21:23:42Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1590/1678-992X-2022-0218-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/297086-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/297086-
Descrição: dc.descriptionThe knowledge of correlations between multiple characteristics in plant breeding leads to more effective selection strategies. The path analysis allows refining these correlations and partitioning them into direct and indirect effects on the main variable. The path analysis becomes more effective when based on predicted genotypic values rather than phenotypic values. The objective was to evaluate correlations between the main agronomic characteristics of grapevine cultivation and their direct and indirect effects on yield per plant to improve selection strategies to reach superior progenies. A randomized complete block design was installed using four cultivars and two rootstocks, five repetitions, and plots of four plants. Data from three crop seasons were analyzed from a mixed model and genetic correlations were subject to the path analysis. A high and positive significant correlation was found between average fruit production and the number of clusters per plant. On the other hand, the average production per plant showed a low correlation to cluster width and height per grapevine. Wider and higher berries tend to increase berry fresh mass and therefore increase the contents of soluble solids and reducing sugars. Among the features, the number of clusters per plant has the strongest direct effect on fruit production in grape cultivars. Berry fresh mass, berry length, and berry width were indirectly influenced by the number of clusters and showed high heritability compared to yield and number of clusters. These characteristics could be used in indirect selection.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionInstituto Agronômico/Centro Avançado de Pesquisa e Desenvolvimento de Frutas, Av. Luiz Pereira dos Santos, 1500, SP-
Descrição: dc.descriptionInstituto Agronômico/Centro de Fibras e Grãos, Av. Theodureto de Almeida Camargo, 1500, SP-
Descrição: dc.descriptionUniversidade Estadual de Campinas Centro de Biologia Molecular e Engenharia Genética, Av. Cândido Rondom, 400, SP-
Descrição: dc.descriptionUniversidade Estadual Paulista “Júlio de Mesquita Filho” Faculdade de Ciências Agronômicas, Av. Universitária, 3780, SP-
Descrição: dc.descriptionUniversidade Estadual Paulista “Júlio de Mesquita Filho” Faculdade de Ciências Agronômicas, Av. Universitária, 3780, SP-
Descrição: dc.descriptionFAPESP: 2013/18913-
Descrição: dc.descriptionFAPESP: 2015/16440-5-
Idioma: dc.languageen-
Relação: dc.relationScientia Agricola-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcorrelation-
Palavras-chave: dc.subjectgenotypic values-
Palavras-chave: dc.subjectmixed models-
Palavras-chave: dc.subjecttropical vitiviniculture-
Palavras-chave: dc.subjectVitis spp-
Título: dc.titleBest linear unbiased prediction in combination with path analysis in processing grapes-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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