Possible Sheep and Wool Research Projects

 

Supervisor:     Professor David Cottle

                       

Interests:  Sheep nutrition and wool characteristics • selective grazing behaviour • feed conversion efficiency • livestock systems and decision support tools • quantitative traits for sheep production • genotype by environment interaction • relative value of wool traits • wool supply chains.

 

 

Sheep nutrition and wool characteristics

 

Title: Is more fleece weight without higher diameter possible?

                            Co supervisor: L Kahn

                            Summary: Design of feed rations for Sharlea sheep aimed at economic production of superfine wool

Title: Wool quality in dual purpose/meat merinos

                            Co supervisor R Mortimer Centre Plus

Summary: Using @Risk Gross Margin spreadsheets to compare the economic performance of different dual purpose sheep enterprises, e.g. Centre Plus and      Dohnes.

 

Selective grazing behaviour

 

Title: Sheep feeding preferences

                            Co supervisor: A Nicol, Lincoln University

                            Summary: Sheep prefer to graze a mix of 70% clover: 30% grass when given free choice. Paradoxically, sheep which have a higher preference for clover can have lower clover (and protein) intakes as they may initially overgraze the clover.  Dietary preference has a genetic component. Projects will study sheep dietary preferences versus their nutritional requirements and their possible incorporation into sheep and pasture breeding programs.

 

Feed conversion efficiency

 

Title: Feed efficiency and methane modeling - metabolic pathways- gene expression

                            Co supervisors: NSWDPI staff

Summary: Feed costs for maintenance are over 60% of the feed requirements of a flock/herd. Feed costs make up about 60% of production costs with protein and energy accounting for 90% of feed costs. Projects may include modelling the effects of management practices on methane production on farms to improve the maintenance efficiency of flocks/herds, studying the effects of feeding regimes on a range of metabolites (leptin, leptin binding proteins, adiponectin, Ghrelin, GLP-1, resistin, insulin, neuropeptides and hormones) in sheep with high and low breeding values for maintenance feed efficiency and developing models to describe variance in feed efficiency due to environmental and genetic influences.

 

Livestock systems and decision support tools

 

Title: Use of decision support tools, e.g. Grassgro3, SGS Pasture

Co supervisors: D Lamb, L Kahn (AIMS), K Mochany, (CSIRO PI), I Johnson (IMJ)

Summary: Case studies on Northern Tablelands properties and/or model development, e.g. incorporating FD, SS/SL/style, remote sensing validation, potential impacts of over grazing on soil parameters, nutrient loss and subsequent recovery, fodder crops, climate parameters/drenching impacts on internal parasite loads and stocking rate and grazing management choices.

Title: Managing spatial variability for increased pasture and livestock productivity in high rainfall grazing systems

Co supervisors: D Lamb, C Guppy, L Kahn (AIMS), C Walker (Incitec Pivot)

Summary: Refine protocols for acquisition and processing of remote- and proximally-sensed precision agriculture data relevant to livestock/pasture systems.        Evaluate, then select, a range of decision support tools for integration of spatial data. Integrate biophysical sensing with productivity modeling and economic analyses. Precision management of fertiliser applications in livestock farming systems based on a suite of data collection and decision support tools (contingent on external funding).

Title: Livestock production systems

 Co supervisor: P Parnell, NSWDPI

 Summary: Comparison of low, medium and high input beef and sheep systems (using new white clover and birdsfoot trefoil species and fertilizer) on collaborating co-learner farms.  Development of user-friendly environmental benchmarks and bio-economic analyses of nil to high input systems for Northern Tableland producers.

 

Quantitative traits for sheep production

 

Title: New England Merino sire evaluation

                            Summary: Assessment of the progeny of fine wool rams (outliers/extremes for bare crutch, muscle Merino, high SGA EBV for wool-meat-reproduction-disease measured for standard and non-standard traits, e.g. feed efficiency, feed selectivity (pen feeding), temperament (box flight), stayability via conformation traits, drought tolerance (leptin etc.).

Title: Information Nucleus Flocks wool traits

                            Summary: Data from the Sheep CRC's information nucleus flocks will be explored for relationships between traits, the physiological basis of any relationships and implications for applied breeding programs.

 

Genotype by environment interactions

 

Title: Genotype by environment interaction corrections

                            Co supervisor: D Brown, AGBU

Summary: Classifying sheep grazing environments using various data, e.g. spatial data and studying the use of environmental classes in Sheep Genetics Australia breeding value analyses of wool traits.

 

Relative value of wool traits

 

Title: Wool Market segmentation

                            Co supervisor: S Champion, Meat and Wool NZ

                            Summary: Analysis of relative economic values for wool in different product –process groupings and their changes over time and between countries.

 

Wool supply chains

 

Title: Direct wool supply chains

Co supervisor: R Thirkell-Johnston, ASWGA

Summary: Critical success factors in wool supply chains, using ASWGA as a test case.  

Title: Wool Metrology projects

                            Co supervisor: T Mahar, AWTA

                            Summary: Metrology projects conducted in consultation with the Australian Wool Testing Authority.   

Title: Virtual classer - case studies

                            Co supervisor: S Semple, NSWDPI

Summary: Using Virtual Classer software on wool clips to compare actual and optimized clip preparation practices. 

 

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