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A model system for rapid selection for resistance and investigation of resistance mechanisms in Fusarium wilt of oil palm
Author(s) -
MEPSTED R.,
FLOOD J.,
PAUL T.,
AIREDE C.,
COOPER R. M.
Publication year - 1995
Publication title -
plant pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.928
H-Index - 85
eISSN - 1365-3059
pISSN - 0032-0862
DOI - 10.1111/j.1365-3059.1995.tb01699.x
Subject(s) - biology , fusarium wilt , petiole (insect anatomy) , fusarium oxysporum , resistance (ecology) , inoculation , palm oil , plant disease resistance , fusarium , selection (genetic algorithm) , antifungal , horticulture , botany , microbiology and biotechnology , agronomy , gene , genetics , food science , hymenoptera , artificial intelligence , computer science
Fusarium wilt ( Fusarium oxysporum f.sp elaeidis ) is the most serious disease of oil palm in Africa. Control measures are dependent upon breeding for resistance, but the lack of a rapid screen for resistance and lack of understanding of the underlying resistance mechanisms has constrained breeding programmes. A novel petiole infusion technique is reported that exploits the ability of the majority of petiole cells to express disease resistance or susceptibility. A clear correlation was found between disease resistance or susceptibility of six clones and external symptoms and fungal colonization in petioles. Antifungal compounds accumulated in resistant but not in susceptible clones in response to inoculation; there was also some evidence of preformed antifungal compounds in resistant clones. Further investigation of resistance mechanisms can be undertaken using this model system. The use of this novel technique, both as a potential rapid replacement for current nursery selection methods (time reduced from 8 months to 8 days) and as an assessment of resistance in individual field palms, is discussed. *