Grouping sunflower genotypes for yield, oil content, and reaction to Alternaria leaf spot using GGE biplot

Pesquisa Agropecuária Brasileira

Regina Maria Villas Bôas De Campos Leite¹  Maria Cristina Neves De Oliveira¹ 

关键词: Alternariaster helianthi;    Helianthus annuus;    disease resistance;    principal component analysis;    Alternariaster helianthi;    Helianthus annuus;    resistência a doenças;    análise de componentes principais;   

DOI  :  10.1590/S0100-204X2015000800003

来源: SciELO

【 摘 要 】

Abstract:The objective of this work was to evaluate the suitability of the multivariate method of principal component analysis (PCA) using the GGE biplot software for grouping sunflower genotypes for their reaction to Alternaria leaf spot disease (Alternariaster helianthi), and for their yield and oil content. Sixty-nine genotypes were evaluated for disease severity in the field, at the R3 growth stage, in seven growing seasons, in Londrina, in the state of Paraná, Brazil, using a diagrammatic scale developed for this disease. Yield and oil content were also evaluated. Data were standardized using the software Statistica, and GGE biplot was used for PCA and graphical display of data. The first two principal components explained 77.9% of the total variation. According to the polygonal biplot using the first two principal components and three response variables, the genotypes were divided into seven sectors. Genotypes located on sectors 1 and 2 showed high yield and high oil content, respectively, and those located on sector 7 showed tolerance to the disease and high yield, despite the high disease severity. The principal component analysis using GGE biplot is an efficient method for grouping sunflower genotypes based on the studied variables.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License