Varieties, plant breeding and release

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Optimising productivity and variety recommendations through analysis of mill data : final report 2014/054
(Sugar Research Australia Limited, 2016) Stringer, J
Production peaked in the Herbert River mills in 2005 at 5.5 Mt, and in 2015 was 4.5 Mt. Cane and sugar yields during this period have also been below average, particularly in 2011, and significant areas went from growing cane to other uses. Although some of this regional variation can be explained by extreme weather events or disease incursions, it is important to identify those causes that can be controlled in order to increase production/ profitability for industry. Huge amounts of data are captured annually by Wilmar and HCPSL (Herbert Cane Productivity Services Limited) and this significant investment is under-utilised in decision making. Productivity within a mill region is highly variable and depends on many factors. Development of innovative tools to analyse and summarise mill data by region could be used to identify production units performing below potential and the factors associated with this.
Maximising genetic gain from family and within family selection : final report 011/343
(Sugar Research Australia Limited, 2016) Parfitt, R; Wei, X; Stringer, J
The aim of this project is to improve the effectiveness and efficiency of selection in progeny assessment trials (PATs). These improvements will result in increased rates of genetic gain and the release of more productive varieties for the Australian sugarcane industry.
Maximising whole-of-industry benefits from the Australian sugarcane improvement program through an optimal genetic evaluation system
(2007) Wei, X; Stringer, J; Jackson, P; Cox, MC
An optimal genetic evaluation system (GES) is the backbone of any breeding program because maximising genetic gains is primarily a matter of efficient selection. A GES provides information to breeders about which individuals should be selected as parents for crossing and which ones should be selected for commercial production.At the commencement of this project, selection of both parents and clones for commercial production was principally based on the index knows as net merit grade (NMG). NMG is based on the performance of a test clone (or a cross) relative to the average of a number of commercial varieties (or corsses) for the traits of commercial cane sugar (CCS), tonnes of cane per hectare (TCH), appearance grade and fibre content. NMG was used to generate a breeding code for selecting parental clones for crossing. Cross ratio, a measure of each cross's performance relative to the whole population at each selection stage, was used to determine priority of crosses. For selecting elite clones to be retained for further testing, NMG was used in all three selection stages to determine which clones would be advanced to next stage.

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