GENOTYPIC DIVERGENCE AMONG SUNFLOWER POPULATIONS

Genotypic divergence, among ten sunflower populations, was investigated, using the Mahalanobis’ D2 statistic analysis and canonic variables to identify more similar and/or divergent groups, and, thus, better direct crossings in breeding programs. Four experiments were carried out in two seasons (Jun...

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Detalles Bibliográficos
Autores: Fróes Camarano, Luciene, Chaves, Lázaro José, Madureira Brasil, Edward, Borges, Elaine
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2010
País:Brasil
Institución:Universidade Federal de Goiás (UFG)
Repositorio:Pesquisa Agropecuária Tropical (Online)
Idioma:inglés
OAI Identifier:oai:ojs.revistas.ufg.br:article/3815
Acceso en línea:https://revistas.ufg.br/pat/article/view/3815
Access Level:acceso abierto
Palabra clave:Helianthus annuus L.
clusters
methods of genotypic divergence estimation
Mahalanobis
agrupamentos
métodos de estimativa da divergência genotípica
Descripción
Sumario:Genotypic divergence, among ten sunflower populations, was investigated, using the Mahalanobis’ D2 statistic analysis and canonic variables to identify more similar and/or divergent groups, and, thus, better direct crossings in breeding programs. Four experiments were carried out in two seasons (June/July and February), in two localities (Goiânia and Goianésia, Goiás State, Brazil), in 1995 and 1996. A randomized complete block design was used, with ten treatments and four replications. Variance analysis showed great genotypic variability among the four populations, for all traits assessed. The genotypic divergence analysis, dendrograms based on Mahalanobis’ distance, and graphs supplied by the canonic variable scores showed that the populations grouped similarly and according to their regions of origin, for most cases. When the two genotypic divergence estimation methods were compared, it was concluded that both led to similar clustering results. KEY-WORDS: Helianthus annuus L.; clusters; methods of genotypic divergence estimation; Mahalanobis.