Structure of Raster in Melolonthine Larvae

Ultrastructural and electrophysiological investigations carried out on larval rasters of Rhopaea magnicomis Blackburn, Lepidiota frerzclzi Black, and Antitr-ogus consanguineus Blackburn revealed that the raster is a complex of mechanoreceptive setae. Chemical and morphological investigations provide no evidence that the raster is a site for chemical emissions; however, species differences in hydrocarbon profiles were found among larval cuticle samples. Ultrastructure of the setae (pali) show that each seta is innervated by a single dendrite which ends in a tubular body at the base of the seta. The connection with the seta is on the proximal side, which corresponds to the production of a phasic-tonic electrophysiological signal on downward deflection. The dendrite is surrounded by a granular, electron-dense sheath which has inwardly directed arms distally and outwardly directed arms proximally. Two sheath cells are present, 1 forming a large receptor lymph cavity which is lamellate and lined with electron-dense material.

Assessing the relationship between shire winter crop yield and seasonal variability of the MODIS NDVI and EVI images

Australian researchers have been developing robust yield estimation models, based mainly on the crop growth response to water availability during the crop season. However, knowledge of spatial distribution of yields within and across the production regions can be improved by the use of remote sensing techniques. Images of Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices, available since 1999, have the potential to contribute to crop yield estimation. The objective of this study was to analyse the relationship between winter crop yields and the spectral information available in MODIS vegetation index images at the shire level. The study was carried out in the Jondaryan and Pittsworth shires, Queensland , Australia . Five years (2000 to 2004) of 250m resolution, 16-day composite of MODIS Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) images were used during the winter crop season (April to November). Seasonal variability of the profiles of the vegetation index images for each crop season using different regions of interest (cropping mask) were displayed and analysed. Correlation analysis between wheat and barley yield data and MODIS image values were also conducted. The results showed high seasonal variability in the NDVI and EVI profiles, and the EVI values were consistently lower than those of the NDVI. The highest image values were observed in 2003 (in contrast to 2004), and were associated with rainfall amount and distribution. The seasonal variability of the profiles was similar in both shires, with minimum values in June and maximum values at the end of August. NDVI and EVI images showed sensitivity to seasonal variability of the vegetation and exhibited good association (e.g. r = 0.84, r = 0.77) with winter crop yields.