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Disease progression in plantations of Acacia mangium affected by red root rot (Ganoderma philippii)

Citation

Francis, A and Beadle, C and Puspitasari, D and Irianto, R and Agustini, L and Rimbawanto, A and Gafur, A and Hardiyanto, E and Junarto, - and Hidyati, N and Tjahjono, B and Mardai, U and Glen, M and Mohammed, C, Disease progression in plantations of Acacia mangium affected by red root rot (Ganoderma philippii), Forest Pathology, 44, (6) pp. 447-459. ISSN 1439-0329 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Blackwell Verlag GmbH

DOI: doi:10.1111/efp.12141

Abstract

The rapid emergence of Acacia mangium as the key industrial plantation species in Indonesia has been followed by the equally rapid emergence of red root rot (Ganoderma philippii) as its potential nemesis. As a consequence, and on severely affected mineral soils in equatorial tropical environments in particular, Amangium may no longer be capable of producing commercial yields after three rotations. In this experiment, 100-tree plots were established in commercial plantings of Amangium at five sites which represented the range of growing conditions used for plantation establishment in Indonesia. Repeated monitoring at approximately 6-month intervals of above- and below-ground variables was used to explore relationships between measures of tree health and root rot. Crown colour and density were poor predictors of either the presence or severity of infections. Tree mortality increased more or less linearly with time and led to the progressive coalescence of initially discrete disease gaps. The average rate of disease development was about 0.3% per month, and average time from infection to tree death was conservatively estimated at around 1 year. Trees with more than four dead/missing neighbours had a >50% chance of being dead by the following monitoring. By the end of the monitoring period >40% of trees were classified as dead/missing, although this value varied from 20 to 70% depending on site, tree age and rotation. Canonical discriminant analysis correctly allocated >90% trees into their correct group on the first monitoring and similarly classified whether trees would be dead or missing in the following monitoring.

Item Details

Item Type:Refereed Article
Research Division:Agricultural and Veterinary Sciences
Research Group:Forestry Sciences
Research Field:Forestry Pests, Health and Diseases
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Hardwood Plantations
Author:Francis, A (Mr Anthony Francis)
Author:Beadle, C (Dr Christopher Beadle)
Author:Glen, M (Dr Morag Glen)
Author:Mohammed, C (Associate Professor Caroline Mohammed)
ID Code:98630
Year Published:2014
Web of Science® Times Cited:7
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2015-02-23
Last Modified:2017-11-09
Downloads:0

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