First record of a smut fungus on Byblidaceae: Yelsemia lowrieana, a new species from Australia.

Yelsemia lowrieana sp . nov. (Ustilaginomycetes) is described and illustrated from Byblis rorida collected in northwestern Western Australia. Infected plants had galls filled with spores on stems and pedicels. The spores were unusual in that each could be separated from a dark outer spore wall. This is the first record of a smut fungus on the dicotyledonous host family Byblidaceae.

A positive locality record or Lepidiota Contigua Britton (Coleoptera: Scarabaeidae: Melolonthinae)

Lepidiota contigua Britton is recorded from Windsor Tableland, northern Queensland.

First record of Passalora calotropidis in Australia and its generic position

Passalora calotropidis has been found for the first time in Australia on rubber bush (Calotropis procera) in northern Queensland where it was associated with a damaging leaf spot disease. Analysis of sequence data of the ITS region indicated that P calotropidis belonged to a group that consisted of species of Pseudocercospora. The generic position of P calotropidis and its potential for biological control are discussed.

First record of Nematospora coryli in Australia and its association with dry rot of Citrus

Nematospora (Eremothecium) coryli was isolated from Citrus and identified for the first time in Australia. This insect-transmitted yeast was associated with dry rot in cultivated and native Citrus fruits. Although N. coryli is known as a serious seed pathogen of many tropical and sub-tropical plants, evidence is presented that it has been present and undetected in Queensland for at least ninety years.

Spatial model of site index based on Y-ray spectrometry and a digital elevation model for two Pinus species in Tuan Toolara State Forest, Queensland, Australia

Site index prediction models are an important aid for forest management and planning activities. This paper introduces a multiple regression model for spatially mapping and comparing site indices for two Pinus species (Pinus elliottii Engelm. and Queensland hybrid, a P. elliottii x Pinus caribaea Morelet hybrid) based on independent variables derived from two major sources: g-ray spectrometry (potassium (K), thorium (Th), and uranium (U)) and a digital elevation model (elevation, slope, curvature, hillshade, flow accumulation, and distance to streams). In addition, interpolated rainfall was tested. Species were coded as a dichotomous dummy variable; interaction effects between species and the g-ray spectrometric and geomorphologic variables were considered. The model explained up to 60% of the variance of site index and the standard error of estimate was 1.9 m. Uranium, elevation, distance to streams, thorium, and flow accumulation significantly correlate to the spatial variation of the site index of both species, and hillshade, curvature, elevation and slope accounted for the extra variability of one species over the other. The predicted site indices varied between 20.0 and 27.3 m for P. elliottii, and between 23.1 and 33.1 m for Queensland hybrid; the advantage of Queensland hybrid over P. elliottii ranged from 1.8 to 6.8 m, with the mean at 4.0 m. This compartment-based prediction and comparison study provides not only an overview of forest productivity of the whole plantation area studied but also a management tool at compartment scale.

First record of Erysiphe aquilegiae on a host outside the Ranunculaceae

Erysiphe aquilegiae (Erysiphaceae) is found for the first time on Catharanthus roseus, in the Apocynaceae. This fungus is previously known only on the Ranunculaceae. A detailed description of this teleomorphic Australian specimen is given, along with its rDNA internal transcribed spacer sequence. © Australasian Plant Pathology Society 2006.

A digital imaging technique to quantify the incidence of internal browning in potato (Solanum tuberosum) tubers

Internal browning disorders, including brown fleck (BF), in potato (Solanum tuberosum) tubers greatly reduce tuber quality, but the causes are not well understood. This is due, in part, to the highly variable data provided by visual value-based rating systems. A digital imaging technique was developed to quantify accurately the incidence of internal browning in potato tubers. Images of tuber sections were scanned using a flatbed scanner and digitally enhanced to highlight tuber BF lesions, and the area of affected tissue calculated using pixel quantification software. Digital imaging allowed for the determination of previously unused indices of the incidence and severity of internal browning in potato tubers. Statistical analysis of the comparison between digitally derived and visual-rating BF data from a glasshouse experiment showed that digital data greatly improved the delineation of treatment effects. The F-test probability was further improved through square root or logarithmic data transformations of the digital data, but not of the visual-rating data. Data from a field experiment showed that the area of tuber affected by BF and the number of small BF lesions increased with time and with increase in tuber size. The results from this study indicate that digital imaging of internal browning disorders of potato tubers holds much promise in determining their causes that heretofore have proved elusive.

Detecting the attributes of a wheat crop using digital imagery acquired from a low-altitude platform

A low-altitude platform utilising a 1.8-m diameter tethered helium balloon was used to position a multispectral sensor, consisting of two digital cameras, above a fertiliser trial plot where wheat (Triticum spp.) was being grown. Located in Cecil Plains, Queensland, Australia, the plot was a long-term fertiliser trial being conducted by a fertiliser company to monitor the response of crops to various levels of nutrition. The different levels of nutrition were achieved by varying nitrogen application rates between 0 and 120 units of N at 40 unit increments. Each plot had received the same application rate for 10 years. Colour and near-infrared images were acquired that captured the whole 2 ha plot. These images were examined and relationships sought between the captured digital information and the crop parameters imaged at anthesis and the at-harvest quality and quantity parameters. The statistical analysis techniques used were correlation analysis, discriminant analysis and partial least squares regression. A high correlation was found between the image and yield (R2 = 0.91) and a moderate correlation between the image and grain protein content (R2 = 0.66). The utility of the system could be extended by choosing a more mobile platform. This would increase the potential for the system to be used to diagnose the causes of the variability and allow remediation, and/or to segregate the crop at harvest to meet certain quality parameters.

Two new species and a new Australian record of Bactrocera Macquart (Diptera : Tephritidae : Dacinae) from Northern Queensland, Torres Strait and Papua New Guinea

Bactrocera (Bactrocera) speewahensis Fay & Hancock sp. n. is described from northern Queensland and B. (B.) torresiae Huxham & Hancock sp. n. is described from Boigu, Saibai and Dauan islands in Torres Strait and southern Papua New Guinea. Bactrocera (B.) nigrovittata Drew is newly recorded from Australia. All records are of male flies responding to chemical lures.

First record of Aecidium sp. on Marsdenia sp. in Australia

Aecidium sp. (Pucciniaceae) on Marsdenia sp. is reported for the first time from Australia.

Intrapopulation variation in an Australian population of the North American thrips, Bagnalliella yuccae (Thysanoptera: Phlaeothripidae), a new record from Australia.

The genus Bagnalliella Karny is an endemic North American genus of Phlaeothripidae with 7 species associated with the New World plant genus Yucca; 2 Old World species currently placed in the genus are probably not congeneric. The number of sensoria on antennal segments III and IV has been used to distinguish the Bagnalliella species on Yucca, but an invasive population of Bagnalliella yuccae (Hinds) is reported here from Australia, at Brisbane, Queensland, in which the number of sensoria varied between individuals and even between left and right antennae of single individuals. These observations cast considerable doubt on the validity of some of the North American species of Bagnalliella. The Australian population was damaging young leaves of Yucca elephantipes, and indicates the ease with which thrips can be distributed by the horticultural trade.

First record of stubby-root nematode (Paratrichodorus porosus) associated with barley in Australia

High populations (5000 to 20 000/kg soil) of the stubby-root nematode Paratrichodorus porosus were identified morphologically from soil samples taken under patches of poorly growing barley in a field between Yuleba and Surat in western Queensland, Australia. Lower populations (<4000/kg soil) were recovered from soil samples taken from asymptomatic barley. This is the first record of this nematode species on barley in Australia.

First record of gynaikothrips uzeu (Zimmermann) (Thysanoptera: Phlaeothripidae) from Australia

Gynaikothrips uzeli (Zimmermann) is newly recorded from Queensland, Australia, causing leaf galls on ornamental figs. Gynaikothrips uzeli is considered a pest of Fiats benjamina (Moraceae) (Weeping fig) in southern Asia and America.

Issues of Digital Ecosystems Approach to Biological Ecosystem Simulation Model Fit Optimization

This study examines the application of digital ecosystems concepts to a biological ecosystem simulation problem. The problem involves the use of a digital ecosystem agent to optimize the accuracy of a second digital ecosystem agent, the biological ecosystem simulation. The study also incorporates social ecosystems, with a technological solution design subsystem communicating with a science subsystem and simulation software developer subsystem to determine key characteristics of the biological ecosystem simulation. The findings show similarities between the issues involved in digital ecosystem collaboration and those occurring when digital ecosystems interact with biological ecosystems. The results also suggest that even precise semantic descriptions and comprehensive ontologies may be insufficient to describe agents in enough detail for use within digital ecosystems, and a number of solutions to this problem are proposed.