Open Access Highly Accessed Research article

Association mapping in sunflower for sclerotinia head rot resistance

Corina M Fusari1, Julio A Di Rienzo2, Carolina Troglia3, Verónica Nishinakamasu1, María Valeria Moreno4, Carla Maringolo3, Facundo Quiroz3, Daniel Álvarez4, Alberto Escande3, Esteban Hopp15, Ruth Heinz15, Verónica V Lia15 and Norma B Paniego1*

Author Affiliations

1 Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina

2 Cátedra de Estadística y Biometría, Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, 5000, Córdoba, Argentina

3 Estación Experimental Agropecuaria Balcarce, INTA, 7620, Balcarce, Buenos Aires, Argentina

4 Estación Experimental Agropecuaria Manfredi, INTA, 5988, Manfredi, Córdoba, Argentina

5 Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina

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BMC Plant Biology 2012, 12:93  doi:10.1186/1471-2229-12-93

Published: 18 June 2012

Additional files

Additional file 1:

Inbred Lines used for Association Mapping in Sunflower and Adjusted Means for Sclerotinia Head Rot Incidence.

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Additional file 2:

Analyses of population Structure in the AMP. A. Principal coordinate analysis of the AMP based on Rogers’ distance estimates. Percentages in parentheses refer to the proportion of variance explained by the principal coordinate (PC). B. Data posterior probability (Ln x/k) and rate of change in the log probability of data between successive k values (Δk). The values for k = 9 are indicated by arrows. C. Estimated population structure at k = 9. Each inbred line (bar) is partitioned into k colored segments that represent the individual’s estimated membership fractions in k clusters.

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Additional file 3:

Candidate Genes Selected for Sclerotinia Head Rot Resistance.

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