4.7 Article

Selecting for rust (Puccinia psidii) resistance in Eucalyptus grandis in Sao Paulo State, Brazil

期刊

FOREST ECOLOGY AND MANAGEMENT
卷 303, 期 -, 页码 91-97

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.foreco.2013.04.002

关键词

Disease resistance/tolerance; Genetic parameters; Ecological zoning; Agrometeorology; Tree breeding; Stability and adaptability analysis

类别

资金

  1. Arborgen
  2. ArcelorMittal (Aperan)
  3. Cenibra
  4. Conpacel
  5. Duratex
  6. Eucatex
  7. Fibria
  8. Forestal Oriental
  9. Jari
  10. Lwarcel
  11. Masisa
  12. Palmasola
  13. Stora Enso
  14. Suzano
  15. University of Sao Paulo - USP/ESALQ
  16. Sao Paulo State University - UNESP
  17. FAPESP

向作者/读者索取更多资源

In Brazil, Eucalyptus grandis is a key species for wood production. However, some genotypes are susceptible to rust (Puccinia psidii), mainly in Sao Paulo State, where climatic conditions are favorable for its development. Rust represents a high economic risk to forest companies because of the high potential of damage to commercial eucalypt plantations. The aims of the present study were (i) to select progenies of E. grandis for stability and adaptability regarding resistance to rust at different locations; (ii) compare the selections under these different climatic conditions; and (iii) compare rust severity in the field with the theoretical model. We observed that climatic conditions were extremely influential factors for rust development, but even under favorable conditions for disease development, we found rust-resistant progenies. In sites unfavorable for rust development, we detected highly susceptible progenies. We found significant correlation among the genetic material, environmental conditions and disease symptoms, however, we observed a simple genotype-environmental interaction and significant genetic variability among the progenies. The average heritability was high among the progenies in all sites, indicating substantial genetic control for rust resistance. We also observed a good relationship between rust severity in the field and the theoretical model that considered annual average temperature and leaf wetness. (c) 2013 Elsevier B.V. All rights reserved.

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