Synonymy of Perkinsus olseni Lester & Davis, 1981 and Perkinsus atlanticus Azevedo, 1989 and an update on the phylogenetic position of the genus Perkinsus

Sequences of the rRNA nontranscribed spacer (NTS) were determined for six isolates of Perkinsus olseni, seven isolates of Perkinsus sp. from Anadara trapezia and one isolate of Perkinsus sp. from Austrovenus stutchburyi. These sequences were compared with previously published NTS sequences for R atlanticus, P. marinus and P. andrewsi. Consensus sequences for Perkinsus olseni, the Perkinsus isolates and P. atlanticus were approximately 98-99% similar to each other but only 65-79% similar to P. marinus and P. andrewsi sequences. Some individual P. olseni sequences were less similar to each other (97.4%) than they were to P. atlanticus sequences (97.8-98.2%), therefore NTS provides further evidence that P. atlanticus, P. olseni, Perkinsus sp. from Anadara trapezia and Perkinsus sp. from Austrovenus stutchburyi are conspecific. We propose that P. atlanticus be synonymised with P. olseni Lester & Davis, 1981 which has taxonomic priority, and that Perkinsus sp. from Anadara trapezia and Perkinsus sp. from Austrovenus stutchburyi belong to R olseni sensu lato as well. A phylogenetic analysis of SSU rDNA, incorporating recently published Perkinsus sequences, supports the placement of the Perkinsus species with Parvilucifera infectans within the Dinoflagellata.

Detecting sugarcane 'orange rust' disease using EO-1 Hyperion hyperspectral imagery

This Letter evaluates several narrow-band indices from EO-1 Hyperion imagery in discriminating sugarcane areas affected by 'orange rust' ( Puccinia kuehnii ) disease. Forty spectral vegetation indices (SVIs), focusing on bands related to leaf pigments, leaf internal structure, and leaf water content, were generated from an image acquired over Mackay, Queensland, Australia. Discriminant function analysis was used to select an optimum set of indices based on their correlations with the discriminant function. The predictive ability of each index was also assessed based on the accuracy of classification. Results demonstrated that Hyperion imagery can be used to detect orange rust disease in sugarcane crops. While some indices that only used visible near-infrared (VNIR) bands (e.g. SIPI and R800/R680) offer separability, the combination of VNIR bands with the moisture-sensitive band (1660 nm) yielded increased separability of rust-affected areas. The newly formulated 'Disease-Water Stress Indices' (DWSI-1=R800/R1660; DSWI-2=R1660/R550; DWSI-5=(R800+R550)/(R1660+R680)) produced the largest correlations, indicating their superior ability to discriminate sugarcane areas affected by orange rust disease.