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In: Folia Primatologica

Abstract

The classification of Parepisparis Bethune-Baker (Geometridae: Oenochrominae) is revised. The genus occurs in New Guinea (i.e., Irian Jaya and part of Papua New Guinea) and Australia. Seventeen species are included, seven of them new. Three genera (Onychopsis Prout, Peratodactyla Turner, and Epicampyla Turner) are newly synonymized with Parepisparis. Larvae are described for two species. The monophyly of Parepisparis is based largely on the shape of the valva of the male genitalia supported, to some extent, by that of the bursa copulatrix of the female genitalia, the colour pattern of the wings and, possibly, the presence of dorsal prothoracic processes and modified setae in the larva. The Oenochrominae are a polyphyletic subfamily, with the Oenochrominae s. str. here confined to the so-called robust-bodied members of the grouping. This excludes the slenderbodied species, and various geometrid genera that have been added to the oenochromines by default.

In: Insect Systematics & Evolution

This study investigated the potential to predict laboratory intramuscular fat (IMF) content of lamb loins (n=486) and topsides (n=287) using a NitFom near infrared (NIR) system. Modelling of NitFom spectra against IMF content determined using an NIR laboratory method revealed a poor ability to predict IMF in both muscles (R 2 cv = 0.15 and R 2 cv = 0.05 for loin and topside respectively). It is hypothesised that the poor prediction may be due to the development of the technology originally as a tool to determine fatty acid composition of pork subcutaneous fat and the use of an NIR reference measurement which results in additional error within predictive models compared to wet chemistry.

In: 63rd International Congress of Meat Science and Technology

Twenty eight lamb datasets with carcase weight, GR tissue depth and computed tomography (CT) composition data were used to demonstrate how well the industry standard measurements of hot carcase weight and GR tissue depth predict carcase fatness. Models predicting carcase CT Fat% were derived in each of 28 datasets then validated in the other 27 datasets. It was shown that the accuracy and precision of prediction using hot carcase weight and GR tissue depth is highly variable when these models were transported between datasets highlighting the need for a more robust industry measurement of carcase composition.

In: 63rd International Congress of Meat Science and Technology
In: XX International Grassland Conference: Offered papers