邢唷??>? ?????????????????欹?` ??o?bjbj藄藄  ???稐g4????$Z敿抂抂抂P鈁??钭??voz餼L600mm annual rainfall). The program commenced in July 1996 and evolved from a former program of the Meat Research Corporation called the Temperate Pasture Sustainability Key Program. The SGS program ran for five years with total funding of about $5.5 m per year. While SGS was an MLA initiative, the program had several partners including Land and Water Australia (LWA), Murray Darling Basin Commission (MDBC), State agencies and several universities. Large numbers of producers also contributed to the program. SGS was developed in a cooperative framework between researchers, producers and State extension personnel. The framework for SGS was developed by a producer planning group in order to maintain producer ownership of the program. 2. PROGRAZE and PROGRAZIER PROGRAZE was developed by NSW Agriculture as a method for producers to learn the fundamentals of pasture and animal assessment to assist in grazing management. The course was first conducted in NSW in 1994 to 1996 and then spread to other states. PROGRAZE was a constituent component of SGS where it was further developed. The Prograzier magazine commenced as a newsletter within SGS and is now produced four times per year. The role of the publication is to help raise producer awareness of and interest in key R&D outcomes, to encourage producers to seek further information/training, and to influence their management practices. 3. Grain and Graze Meat & Livestock Australia (MLA) is one of four partners in a research program called Grain & Graze (G&G). G&G was a program focused on enterprise integration within mixed enterprise farming systems with the aim of increasing profitability and enhancing natural resource condition across Australia抯 medium rainfall zone. The program was established in July 2003 and has run for five years until June 2008. The program is a cooperative effort of four Rural Research & Development Corporations (RDCs) ?Australian Wool Innovation Ltd (AWI), the Grains R&D Corporation (GRDC), Land & Water Australia (LWA) and MLA. MLA is the largest financial contributor of the four RDCs. The program抯 investment is largely delivered through nine regionally focused projects (predominantly in southern Australia). The project regions use collaborative approaches with many partners involved, including State agencies. 4. Evergraze The Evergraze initiative is developing and testing new farming systems in different environments of the high rainfall zone (>600 average annual rainfall) of southern Australia. The initiative involves combining different perennial pastures designed to meet the nutritional needs throughout the year of high performance animal production systems. Apart from increasing productivity and profitability on a whole farm basis, the pastures are envisaged to use excess water in the environment so lowering water tables and improving water quality in waterways. The project was funded by MLA, State agencies, the former Salinity CRC and catchment management authorities. 5. Biological Control of Weeds A biological control research and development program for weeds was initiated by CSIRO in 1972. The initial biological control investment on Paterson抯 Curse (Echium spp.) was halted in 1980 following an injunction in the Supreme Court of South Australia, lodged by a group of graziers and apiarists. CSIRO recommenced work on biological control of Echium in 1987. The biological control program for thistles commenced at about the same time. The Australian meat and wool industries also contributed funding to the CSIRO program, in addition to in-kind contributions of the NSW, Victorian, South Australian and Western Australian state departments, and, since 1995, the Weeds CRC. Meat and Livestock Australia (MLA) and its predecessors and other research funding bodies have invested in biological weed control projects since at least 1987. Until 1996/97 Australian Wool Innovation (AWI) and MLA funded projects independently, with the work focusing mostly on the importation, host-specificity testing and initial establishment of agents at a small number of nursery sites. From 1997/98 the projects were placed under one funding umbrella. By 2002/03 bio--control agents had been successfully identified, reared and released against the target species. Their impacts were being noted around release sites. The evidence was indicating that the combinations of the agents selected should be able to reduce the vigour of these weeds in the short term and their density in the long term. A new project was initiated in 2003/04 that released additional agents in the current sites. This new project was anticipated to speed up the delivery of benefits to landholders. 6. Pasture Breeding, Establishment and Management Apart from the large investment in pasture management and utilisation there was some investment in breeding improved pasture types including new varieties of tall fescue, perennial ryegrass, and white clover. Investment into establishment of perennial pastures as well as low cost re-establishment was made. ADOPTION 1. More Beef from Pastures This MLA program is an information and support program providing beef producers across southern Australia with tools and information to support decision making in their beef enterprise. The program commenced in 2004. Central to the program is the 損roducers?manual?containing the essential processes for a successful beef business. 2. EDGEnetwork?EDGEnetwork?has been one of several methods of extension employed by MLA as part of its R&D program since 2000. EDGEnetwork?is a series of structured learning workshops delivered to meat and livestock producers in all states of Australia through various arrangements with state and private sector agencies. EDGEnetwork?provides a vehicle for communicating the outcomes of its past R&D investment to meat and livestock producers so that they can improve their profitability and sustainability. EDGEnetwork?was initially set up to communicate R&D findings and increase general capacity in farm business (the working title of EDGEnetwork?during its development in Victoria was 揃usiness Skills Best Practice?. It is a delivery tool for R&D with the aim of promoting practice change in all aspects of the farm business (Michael Goldberg, pers.comm., 2008). Beef cheque is a three year course that is offered only in Victoria and on a limited scale in South Australia. MLA are one third owners together with Victorian DPI and the Beef Improvement Association (Michael Goldberg, pers. comm., 2008). 3. PIRDS The MLA Producer Initiated Research and Development (PIRD) program commenced in 1993 and has continued to 2007. The objective was to support new ideas from cattle and sheepmeat producer groups to improve their knowledge, awareness and profitability through group initiated research activities. PIRDs represented therefore a research implementation pathway. A range of issues have been addressed by these groups from grazing to marketing. Pasture, feed and grazing questions along with animal production, farm management and breeding have been ongoing PIRD topics over the period from 2001 to 2007. OTHER 1. Beef CRC II and III The southern beef program of MLA has been a key partner in all three Beef CRCs. CRCII (CRC for Cattle and Beef Quality) (1997 - 2004) and CRCIII (CRC for Beef Genetic Technologies) (2005 - 2012) were active during the investment period of this evaluation. The role of the Beef CRC has increasingly broadened over time from an initial focus on eating quality (CRCI) to the inclusion of other economically important traits (CRCII) and then to use emerging gene technology to address an even broader range of beef industry priority issues but still including beef quality (CRCIII). The nine core partners for CRCIII include MLA, four State DPIs, three universities and Meat and Wool New Zealand. 5. Principal Outputs and Outcomes Some indicative examples of outputs and outcomes produced by some of the southern beef MLA investments over the period are summarised in Table 5.1. Table 5.1: Indicative Examples of Outputs and Outcomes from MLA Investment Project or Program OutputsOutcomesGENETICSBeef Genetics and BREEDPLAN (also see Beef CRC in OTHER) The investment has enhanced the versions of BREEDPLAN and BreedObject being used by AGBU. There are currently 2,300 Australian beef herds (both from the south and the north) enrolled in BREEDPLAN. During calendar year 2007, BREEDPLAN processed weaning weights for 125,630 animals submitted from 1,600 herds. (Steven Skinner, pers.comm.,2008). More efficient and effective industry servicing and faster rates of genetic progress in both southern and northern beef cattle herds. Higher proportion of seedstock producers being involved in BREEDPLAN and more commercial producers purchasing bulls selected using BREEDPLAN, Growth rates of animals have increased and age of turnoff at the same weight have been reduced The proportion of southern beef producers using EBVs or breeding indices in sire selection and purchase is 29% (Hooper et al, 2007). Some 70% of bulls entering the market in the south have come from herds using BREEDPLAN and have EBVs on them (Robert Banks, pers. comm., 2008). The average genetic gain across the year for all Australian breeds for cattle that were born in the 5 year period from 2002 to 2006 were (Steven Skinner, pers.comm., 2008) Maximum value+$3.80 per year Minimum value +$0.30 per year The larger breeds made over $2.00 average gain per year The average rate of gain across breeds is about $1.75 extra gross margin per cow joined per year (Robert Banks, pers. comm., 2008). Multi-breed performance data on several growth traits allowed scientists at AGBU to develop statistical models to compute adjustment factors (i.e. published in a table) that allow producers to directly compare the growth EBVs of a number of breeds. The multi-breed EBVs are being used to predict the expected differences in the progeny of animals from different breeds. Knowledge of tradeoffs involved in selecting genetics, stocking rates and feeding regimes for southern beef production systems Producers are now more likely to use sires with higher growth rates due to increased confidence there is no detriment to meat quality; also they are now better able to meet specific market requirements. NUTRITION, GRAZING AND MANAGEMENT 1. Sustainable Grazing Systems The 揘ational Experiment?was undertaken on six sites (Albany, Hamilton, Rutherglen, Wagga, Orange and Tamworth), and for each of five themes (water, nutrients, pastures, animals and biodiversity). Regional committees of producers were established that assisted in the development of sustainable grazing systems and in quickly transferring information to producers. There were 100 producer driven regional sites that had strong credibility with producers. Two SGS National Farm Walks (1999 and 2001) were conducted that attracted 6,400 producers and involved 135 regional and national sites. Surveys reported that the 8,000 participants in SGS were more likely than non-participants to rotationally graze; have higher stocking rates; more perennial pasture; assess their pasture, dry matter and digestibility value; calculate a fodder budget, weight and fat scores for livestock; soil test and apply fertiliser and lime; and focus on specific markets. Among participants in SGS, 81% and 85% respectively stated that the changes they had implemented would increase profitability and sustainability. Involvement in SGS had assisted in their management of animal, pastures, nutrients and water as well as sharing information among their peers.2. PROGRAZE and PROGRAZIERThe PROGRAZE course (developed further within SGS) provided technical information and assessment skills, used discussion groups, visits and revisits to grazing properties, and provided takeaway manuals and guidelines for use after the course. The course was based on learning from others, solution seeking and active learning with emphasis on building the capacity to make changes. By the end of 1996 nearly 4,000 producers had undertaken the course. By 2002, some 8,500 producers had undertaken the course. These 8,500 (6,400 businesses) were all from the high rainfall zone of southern Australia. MLA subsumed the PROGRAZE workshops into their EDGEnetwork?education and training program when it commenced in 2000/01. Up until 2008, 12,269 producers have participated in PROGRAZE (including 8,500 under SGS and a further 3,769 under EDGEnetwork?from 2001 to 2008. Prograzier had a subscriber base of 20,000 across the southern states of Australia in 2008.A high proportion of PROGRAZE participants surveyed (86%) indicated that participating in PROGRAZE would increase profitability and 90% indicated participation would improve the sustainability of their pasture base; 41% of participants changed their grazing approach, many to rotational grazing with 2,460 businesses attributing this to PROGRAZE alone. Confidence in decision making has been often reported by participants as a result of participating in PROGRAZE. This is translated 12 months after completing PROGRAZE to changes being made on the farm. It was reported that PROGRAZE was the most successful training program ever offered in the red meat industry. There has been extensive participation by producers with independent verification of changed behaviour and adoption. In a 2004 survey, Prograzier emerged as the source of information most likely to influence producers to change livestock or pasture management practices, with rural newspapers second, field days third, Department of Agriculture fourth, and ABC Radio fifth (Taverner Research Company, 2004).3. Grain and Graze The program produced a range of models, tools and knowledge in both the national projects and the individual regional projects. Knowledge related to economics, biodiversity, feed base management and social aspects of mixed farming systems. Examples include perennial pasture establishment and management, managing pasture rotations, stubble grazing kit, an IPM guide, a stubble management course, a feedbase information package, options to fill an autumn feed gap, and management packages for grazing cereals. More than 4,000 producers were actively engaged in Grain and Graze activities. It is estimated that more than 8,000 passively participated. More than 230 research and demonstration sites operated for some part of the 5 year program. The likely outcomes from the G&G program are increased average profitability and improved risk management outcomes for mixed farming enterprises. Mechanisms for dong this will most likely involve: (i) Choice of new combinations of existing farm enterprises to increase average income and reduce income risk in the long term (ii) Utilise resources such as different land and soil types more efficiently (iii) Introduce new enterprises into their farming systems (iv) Introduce new components or aspects of a production process into their farming system. More than 1,800 producers are trialling Grain and Graze recommended practices. More than 1,000 producers have already adopted recommended practices and have attributed the changes to Grain and Graze participation. Approximately 800 participants claim to have ceased poor farming practices specifically on Grain and Graze advice. The average increase in profit achieved across the regions from adoption of Grain and Graze recommended practices is 9%. 4. Evergraze Many producers are aware of Evergraze and the project is well recognised in the temperate high rainfall zone. There is increased awareness in livestock industries of the potential for farming systems based on perennial plants that can also reduce recharge to control dryland salinity. The next step is to achieve adoption and practice change through demonstration and validation of new systems and development of guidelines for producers for the application of these systems. As the principal implementation phase of this investment is still being completed, it is too early to report on any significant outcomes in terms of new knowledge, validation and demonstration of systems. The target outcomes are a reduction in recharge by 50% (or an appropriate amount for each region) over current farming systems and an increase in profitability by 50% across the whole farm (above best practice animal enterprises). 5. Biological Control of *Weeds Up to 2006, there had been 4,000 releases of specific biological control agents for Patersons?curse, Onopordum thistles, horehound and blue heliotrope. A network of more than 1,700 graziers was involved in the project and was integrating biological control into its pasture management regimes. There had been 322 weed control training workshop, talks, interviews and field days held across Australia (CSIRO Entomology, 2006). The total number of agents released more than doubled over the two years to 2006 compared to the previous seven years. This increased rate of release is due to the success in regional field collections so that the need to rear insects in the laboratory has been by-passed. There has been a reduction in direct costs (e.g. weed toxicity, herbicide use, low pasture productivity) and indirect costs (stock management issues) associated with the targeted weeds. Also, there has been an improved understanding by producers of weeds in farming systems and of the benefits of an integrated weed management approach incorporating the concepts of biological control, herbicide control, grazing management and pasture renovation. The active participation by producers has led to ownership of the process and outcomes in the context of a community based distribution system. 6. Pasture Breeding, Establishment and Management Pasture breeding programs have generated improved types of ryegrass, tall fescue, lucerne, white clover and other legumes. Continual adoption of new pasture species and cultivars by producers in temperate Australia. Establishment costs of perennial species have been lowered Development of grazing and supplementary feeding strategies which overcame the reduction in growth rate that occurs in cattle when grazing tagasaste in late summer and autumn. Knowledge of the tagasaste plant and its interactions with cattle, has led to the use of lupins for supplementary feeding; lupins have been adopted widely and quickly for those grazing on tagasaste. Indices of potential pasture growth for the current growing season and accumulated potential pasture growth from the start of the season. The indices allow an assessment of how the current season is unfolding relative to previous seasons, and what the prospects ahead are based on a seasonal climate forecast.The information is being promoted for use in strategic applications, for example choosing time of joining by assessing seasonal reliability of pasture growth, and in tactical applications in feed budgeting. ADOPTION 1. More Beef From Pastures The 揗ore Beef from Pastures Producers?manual includes modules on setting directions, tactical stock control, pasture growth, pasture utilisation, cattle genetics, weaner throughput, herd health and welfare, and meeting market specifications. The program also supports a newsletter, producer forums and workshops, demonstration sites, producer tools and calculators such as the cost of production calculator, and website information. Over 12,000 producers have directly engaged with the program. Surveys in 2006 and 2007 reported that 60% and 70% of southern beef producers respectively were aware of the program. Of those who participated in the program 44% in 2006 and 50% in 2007 stated in a survey that they had changed management practices as a result of their participation (Axiom Research, 2007). The impact of program tools and procedures have had most impact on productivity increases and better natural resource management; productivity increases were ranked first as the most important aspect of management changes made. The three areas that survey respondents reported where impact was greatest were profitability, pasture persistence and cost of production (Axiom Research, 2007). 2.EDGEnetwork?Records show that 10,970 participants attended EDGEnetwork? courses in the six years to June 2006. Since the year 2000, the most frequently attended EDGEnetwork?courses for southern beef producers were Prograze (3,769 lamb and southern beef producers), and Beefcheque (869 year 1 participants, 820 cumulative year two participants and 602 year 5 participants). Enhanced productivity of meat and livestock production through improved management decision making leading to increased net farm income of producers. Hassall and Associates (2004) undertook a review of EDGEnetwork?with a focus on the impact and management arrangements. The review concluded that there had been a greater uptake of R&D findings due to EDGEnetwork?workshops, particularly regarding improvements in pastures, stocking rates and selection of breeding stock. These improvements had been translated into increases in farm cash income. Animals, business/ finance and feedbase/ pasture workshops contributed 90% of all participant attendances. Prograze and Prograze Update workshops contributed 69% of feedbase workshops attended. Producers consulted in the review indicated a 4% to 5.5% increase in productivity in the short term, with productivity increases up to 12% in the long term. MLA surveys indicate that 75% of these changed management practices occurred as a direct result of EDGEnetwork?courses. 3. PIRDS An estimated 20,000 producers connected to groups have had close or some contact with the meat PIRD scheme. Of these around 5,000 catlle and sheep producers would have been active or close to participants in the PIRDs (Welsman, 2001). There are indications that 50% to 100% of PIRD participants have made and will make significant changes as a result of their involvement. A study in 1998 calculated return on investment of ten completed PIRDs with a total net present value of $11 million, which would have returned MLA抯 investment many times for all PIRDs up to that time. A case study of a successful PIRD relating to southern beef production is provided in Appendix 2 to this report. OTHER1. Beef CRCII and IIICRC II produced a range of products and packages, for example DNA markers; vaccines for bovine respiratory disease, BREEDPLAN enhancements for feed efficiency and carcase and beef quality; enhancements to retail beef yield; marbling and feed efficiency as stand alone traits. CRCIII prospectively will produce outputs similar to CRC II but with an increased emphasis on adoption and integration across the industry. CRC II outputs have potentially increased the productivity of beef production systems through an increased rate of genetic gain, as well as product enhancement to better meet market demand and consumer requirements. CRCIII should increase the availability and rate of adoption of genetic technologies as well as a range of other technological improvements.  6. Description of Industry Changes 6.1 Introduction Some statistical data on changes relevant to the southern beef industry observed over the period include: Cattle numbers in the southern region Cattle slaughtered in the southern region Australian beef production Branding and turnoff rates Beef prices Australian beef prices Productivity gains in the southern region 6.2 Southern Beef Cattle Numbers Table 6.1 and Figure 6.1 provide data on the number of cattle in the Australian southern beef industry over the period 2000/01 to 2006/07. Data for the four years earlier than 2000/01 are also reported to provide a base for change over the period. Table 6.1: Australian Southern Beef Industry Cattle Numbers Year ending MarchNumber of Cattle (000) in Southern Beef Herd NSWVICSATASWA (a)Total 19976,1182,6271,0245151,19710,96619985,9222,3061,0515101,23811,02719995,8462,1801,0064911,21710,74020005,5312,3719954111,38010,688Average before Investment 10,85520015,7862,4351,0504261,34111,03820025,5932,4631,2014321,32711,01620035,4192,4911,2094821,21610,81720045,4162,3901,1644961,31510,78120055,4282,5051,1075341,26610,84020065,8462,6791,2195051,57411,8232007 (b)5,4492,5151,1344811,47911,058 Source: ABARE (2007) Pilbara and Kimberley statistical divisions are considered northern beef while all others are considered southern beef; there were 67% of beef WA cattle in southern divisions in 2004/05 and this proportion has been used to estimate the figure in this column. Estimates for 2007from difference in state totals from MLA statistics between 2006 and 2007. Figure 6.1: Trend in Australian Southern Beef Cattle Numbers  6.3 Southern Beef Industry Slaughterings Table 6.2 and Figure 6.2 provide data on the number of slaughterings of adult cattle by state. These numbers are only an estimate of the numbers slaughtered that emanate from southern beef producers. Table 6.2: Estimate of Southern Beef Industry Slaughterings Year ending JuneAustralian Southern Beef Industry Slaughterings (000)Australian Average Carcase Weight (kg per head) (b)NSWVICSATASWA (a)Total 19972,0401,6763692033664,65421219982,1391,7983722174034,92921319991,8951,7512782113944,52922720001,7251,5243152183554,137235Average before Investment 4,56222220011,8281,5243171843744,22723720021,8131,4313331603313,98423120031,9311,6503591933864,06822420041,6161,5573432054174,13824020051,7001,5163592044604,23924720061,5901,3813251973913,88424720071,7501,5673422184044,281NaEstimated that 90% of WA slaughterings would have emanated from the southern region due to the dominance of live cattle exports from the northern region of WA. Source : MLA database Figure 6.2: Australian Southern Beef Industry Slaughterings  6.4 Australian Beef and Veal Production Table 6.3 and Figure 6.3 provide data on the production of beef and veal in Australia over the period 1996/97 to 2006/07. Table 6.3: Australian Beef and Veal Production Year ending JuneBeef Production (kt)19971,93919981,98719991,99120002,05320012,07920022,09020031,99820042,11320052,09020062,1882007n.a.Source: ABARE (2007) 6.5 Branding and Turnoff Rates Table 6.4 provides data on the branding rate for southern beef enterprises over the period 1996/97 to 2006/07. Unfortunately, data for a number of years were not available. Table 6.4: Southern Beef Branding Rate Year ending JuneBranding Rate (%)NSWVICSATASWA19978886101886619988988849375199982938087802000899379878620018691818986200286888685792003200420058590698973200682927693722007 Source: ABARE, Agsurf (2008) Table 6.5 provides data on the turnoff rate for beef properties in the southern industry by State from 1997 to 2007. Table 6.5: Southern Beef Turnoff Rate Year ending JuneTurnoff Rate (%) (a)NSWVICSATASWA19974361574628199845616144331999465253433520004542445433200146423739352002464233513320035750433740200447585849372005486411279432006505652583420075587904031(a) Includes beef transferred to other properties Source: AgSurf (2008) 6.6 Beef Prices Tables 6.6A and 6.6B and Figures 6.3A and 6.3B provide data on the saleyard prices for NSW beef cattle over the period. Table 6.6A: Saleyard Prices for NSW Beef Cattle (nominal $ terms) (Australian cents per kg carcase weight) Year ended June Beef Prices (c/kg carcase weight)Japan OxKorean SteerTrade SteerUS Cow200024023725720520012862773042462002318312335276200328927429121820043123083322562005333330369291200634033938029220073283163432612008314305327264Source: MLA Database Table 6.6B: Saleyard Prices for NSW Beef Cattle (2007/08 $ terms) (Australian cents per kg carcase weight) Year ended June Beef Prices (c/kg carcase weight)Japan OxKorean SteerTrade SteerUS Cow200031230833426720013513403733022002379372399329200333531833825320043543493772912005368365408321200636136140431120073413293582722008314305327264 Figure 6.3A: NSW Saleyard Prices for Cattle (nominal $ terms)  Figure 6.3B: NSW Saleyard Prices for Cattle (2007/08 $ terms)  6.7 Productivity Changes Growth in output of an industry can be generated, for example, by using more land or labour, that is by increasing input use. Another source of output growth can be productivity growth, that is a higher output per unit of one or more inputs. A useful general measure of productivity changes in an industry is total factor productivity (TFP). TFP is calculated by dividing an index of the volume of industry outputs by an index of the volume of industry inputs. Most total factor productivity measures for Australian rural industries have been estimated from the annual farm survey data conducted by ABARE. Table 6.7 provides a summary of a number of studies undertaken in Australia that provide total factor productivity measures based on data since 1977. Some of these TFP estimates refer to the beef industry but only a few to the more specific southern beef industry. Table 6.7: Total Factor Productivity Measures Type of farmProductivity gain PeriodDairyKnopke et al. (2000)Dairy farms1.6% p.a.1978-1999 (22 yrs)Males et al. (1990)Dairy farms1.9% p.a.1978-1989 (12 yrs)ABARE (2004)Dairy farms 1.7% p.a.1978-2002 (15 yrs)ABARE (2004)Dairy farms 2.1% p.a.1977-1990 (13 yrs)ABARE (2004)Dairy farms 1.1% p.a.1988-2002 (14 yrs)GrainsKnopke et al (2000)Cropping farms3.6 % p.a.1978-1999 (22 yrs)Mixed crop-livestock2.6% p.a. 1978-1999 (22 yrs)All crop farms3.2% p.a.1978-1999 (22 yrs)Knopke, Strappazon and Mullen, 1995)Cropping farms4.6% p.a.1978-1994 (17 yrs)Mixed crop livestock3.2 % p.a.1978-1994 (17 yrs)All crop farms3.8 % p.a.1978-1994 (17 yrs)ABARE (2004)Crop specialists 3.3% p.a.1977-2002 (25 yrs)WoolKnopke et al (2000)Sheep0.6% p.a.1978-1999 (22 yrs)Knopke, Strappazon and Mullen, 1995)Sheep1.0 % p.a.1978-1994 (17 yrs)Swan Report (1995)SheepResults reported by state and zone and ranged from 0 to 1% pa 1979-1994 (16 yrs)BeefKnopke et al (2000)Beef2.1 % p.a.1978-1999 (22 yrs)Knopke, Strappazon and Mullen, 1995)Beef1.6% p.a.1978-1994 (17 yrs)ABARE (2004)Beef specialists 1.8% p.a.1977-2002 (25 yrs)ABARE (2004) Beef specialists 2.1% p.a.1988-2002 (14 yrs)ABARE (2004)Beef specialists - north 2.2% p.a.1977-2002 (25 yrs)ABARE (2004)Beef specialists 杗orth1.1% p.a.1977-1990 (13 yrs)ABARE (2004)Beef specialists ?north3.3% p.a.1988-2002 (14 yrs)ABARE (2004)Beef specialists - south1.3% p.a.1977-2002 (25 yrsABARE (2004) Beef specialists - south2.9% p.a.1977-1990 (13 yrs)ABARE (2004)Beef specialists - south-0.5% p.a.1988-2002 (14 yrs)ABARE (2008) Northern region 1.2% p.a.1977-2006 (29 yrs)ABARE (2008)Northern region 2.1% p.a.1985-2006 (20 yrs)ABARE (2008)Southern region 1.3% p.a.1977-2006 (29 yrs)Broadacre industries Knopke et al (2000)All broadacre farms2.6 % p.a.1978-1999 (22 yrs)Knopke, Strappazon and Mullen, 1995)All broadacre farms2.6 % p.a.1978-1994 (17 yrs)Mullen and Cox (1995)All broadacre farms2.3% p.a.1953-1988 (36 yrs)Males et al (1990)All broadacre farms2.2% p.a.1978-1989 (12 yrs)Mixed sheep farms ABARE (2004)Sheep -beef1.0% p.a.1977-2002 (25 yrs)ABARE (2004)Sheep-crops 2.5% p.a.1977-2002 (25 yrs)Mixed crop-livestock ABARE (2008)Mixed crop-livestock1.7% p.a.1977-2006 (29 yrs)Sheep IndustryABARE (2008)Sheep 0.3% p.a.1977-2006 (29 yrs)Sheep specialist farms ABARE (2004)Sheep specialist farms 0.9% p.a.1977-2002 (25 yrs)ABARE (2004)Sheep specialist farms 0.6% p.a.1977-1990 (13 yrs)ABARE (2004)Sheep specialist farms 1.2% p.a.1988-2002 (14 yrs)ABARE (2004)Specialist prime lamb farms 1.6% p.a.1977-2002 (25 yrs)ABARE (2004)Farms with prime lambs where prime lamb receipts >20% 0.8% p.a.1988-2002 (14 yrs)ABARE (2004)Farms with prime lambs where prime lamb receipts 5-20%2.8% p.a.1988-2002 (14 yrs)ABARE (2004)Farms with prime lambs where prime lamb receipts <5%0.3% p.a.1988-2002 (14 yrs) It is evident from Table 6.7 that the highest productivity growth in Australian broadacre agriculture has been in the grains sector (TFP growth of over 3% p.a.), followed by beef and dairy industries (around 2% p.a.) and then by the sheep/wool industry (around 1% or less p.a.). Before ABARE (2008) was published, the beef industry appeared to have been exhibiting positive productivity growth of around 2% per annum. However, the latest estimate from ABARE in 2008 suggests that the productivity gains have been closer to 1% per annum than to 2%, over the period 1977 to 2006. For southern beef producers, productivity growth appears to have been significantly lower than 2% p.a. from 1988 to 2002 or from 1990 to 2006 (ABARE, 2008). The ABARE explanation for the fall is not yet conclusive but it appears to be associated with some revisions to various elements of the approach used (e.g. definition of variables, scope of farms, and estimation techniques) (Zhao, pers.comm., 2008). The new approach does not appear to have changed the TFP estimate for industries other than beef. Linkages between Productivity and R&D Investment While productivity changes are usually associated with technological change (and hence are likely to be a result of R&D investment), other factors also influence annual productivity changes. These include seasonal conditions (climate, disease outbreaks) and changing industry structures such as specialisation or scale changes. Linking productivity changes to R&D investment can be effected quantitatively via econometric/production function approaches. Also, qualitative approaches can be used to explain single or total factor productivity changes by reference to R&D activities and outputs. Qualitative associations have been made between R&D outputs and productivity changes in a number of industries including cotton where the relative contribution of some important factors contributing to the increase in cotton yields in Australia in the past 20 years (Constable, 2000) are: Plant breeding 45% Soil-nutrition-irrigation management 25% Insect control 20% Disease management 10% The increase in milk yield per cow and the increasing protein and fat content of milk has been attributed to: Supplementary feeding Improved genetics Pasture management Intensive feeding Much of the increased productivity observed over the past 80 years in dried fruits to: Trellising systems Irrigation management Vigour enhancing and salt/nematode resistant rootstocks Virus free clonal grapevines The Knopke et al (2000) study refers to workshops to identify drivers of past productivity growth in the grains industry. Gains had come from a wide range of factors including many that were R&D related. Major factors included: Management and work skills Farm amalgamations and scale of operations Plant breeding Improved crop rotations Tillage practices Better pest (including weeds) and disease control More and better targeted fertiliser use Advances in tractor and machinery design Given that many of these drivers are associated with technological change, a further consideration is whether Australian funded RD&E dominated such technological change. The issue is that some technological change may have occurred due to the ingenuity of farmers, as well as technology imported from overseas. In summary, in attributing productivity changes to RD&E, there needs to be recognition that: factors other than technology and its adoption can contribute to observed industry productivity improvements. some technology development and adoption can occur that is not driven by RD&E investment. 7. Description of Key Drivers of Change 7.1 Pre-Investment Situation (pre 2000-2001) The thirty year period up to the year 2000 saw the following significant changes in the southern beef industry: development of integrated supply chains and value based marketing the use of genetically superior animals with regard to weight gains and eating quality further pasture development through introduced species and spread of naturalsed species nutritional management changes including more efficient grazing management practices Improved animal management including improved parasite and disease control methods, and reproductive management growth of the feedlot sector diversification of markets including live export, feeder steers, and slaughter markets for both local and export consumption RD&E investment in the production area by MLA (and its predecessors) with industry and government funding, the State DPIs, CSIRO, and the Universities had supported many of these changes contributing to significant productivity growth. 7.2 Summary of Key Drivers of Change (2000/01 to 2007/08) ABARE (2004) report herd performance measures for beef specialist farms from 1977-78 to 2001/02 as shown in Table 7.1 Table 7.1 Herd performance of Specialist Beef Farms 1977/78 to 2001/02 (Average annual changes %) Performance criteria North South Branding Rate 1.1 0.3Turnoff Rate1.4-0.9Death Rate -4.9-2.6 ABARE (2004) The recent performance information available for the southern beef industry since 2000/01 is limited as most performance data refers to the Australian beef industry. Some information is available by State. Tables 6.1 to 6.6 show for the southern beef industry: static cattle numbers over the period 2000/01 to 2007/08 static slaughter numbers static branding rates higher carcase weights static Australian beef prices (in real terms) that are assumed to apply to both southern and northern beef products total factor productivities varying between -0.5% and 2.9% p.a., depending on the period over which the estimates are made. The latest and most authoritative estimate for the southern beef industry is for a productivity gain of 1.3% p.a. over the period 1977-2006. However, the estimates suggest that this may have been affected by higher productivity growth in the early part of this period with flat growth during the 1990s followed by increased variability of growth since 2000/01 (possibly due to a series of drought years in the south). Figure 7.1 demonstrates this recent variability. The average productivity gain in the southern industry (Figure 7.1) has been driven predominantly by growth in outputs rather than reduction in inputs (ABARE, 2008). Figure 7.1 Productivity Gains in the Australian Beef Industry  (Source: ABARE, 2008) Nominating key drivers of change over a particular period is partly a subjective process. The key drivers of change over the period 2000/01 to 2007/08 for southern beef are assumed to have included the following: Generic/Integration factors Improved management of industry RD&E investment from MLA management and leadership including inputs from the Southern Australia Beef Research Council (SABRC). MLA and State agencies clearly played important roles in planning, funding and coordination of RD&E. In addition, industry organisations and others (including CSIRO, breed societies, producer groups, private and public consulting and educational groups) were also critical players in the progress made. The CRC for Beef Genetic Technologies has played a role in coordinating beef genomics across agencies. Production drivers The ability via BREEDPLAN for producers to access improved genetic technology it provided, to deliver animals that could grow more quickly to a given weight or reach a higher weight with the same level of inputs and with superior eating quality. The development of new technology in terms of nutrition, interaction of nutrition with genetics and better meeting market specifications, and sustainable grazing management strategies including feed budgeting. A higher level of uptake of both new and existing technology by southern beef producers as a result of investment in extension, communication and training packages and the ensuing technology application and skills development by producers. The various extension and communication programs assisted producers to adopt best practice in producing to market specifications. Producing more beef with a similar level of inputs has been indicated by the composition of the total factor productivity changes. 8. Assumptions for Valuing Benefits General Approach The approach used to value the benefits from the investment is a 憈op-down?approach. This is applied to estimate the differences that the observed total RD&E production investments for southern beef have made compared to what would have occurred if the investments had not been made. This recognises the likelihood that some of the productivity gains observed (1.3% p.a.) could have been made without the RD&E investment. The benefits to the RD&E investment are then estimated as the difference between the 憌ith RD&E?and 憌ithout RD&E?scenarios. As MLA was not the only contributor to the estimated net benefit stream from RD&E, only part of the stream can be attributed to MLA. This attributed level of benefits is then matched with the actual RD&E investment by MLA over the period 2000/01 to 2007/08. It should be noted that the gains due to RD&E investment include those driven by new technology as well as by the effort made in encouraging producers to adopt existing technology No attempt has been made to separate the research versus adoption impacts due to lack of data. Counterfactual Scenario Firstly, a proportion of observed productivity growth has been driven by the use of existing technology, even without the training and extension investment by MLA and others that occurred over the period. Second, private sector interests (e.g. agribusiness companies, Beef Improvement Association, Breed Societies) would have maintained some impact on the industry leading to some productivity improvements. Some industry structural changes such as size economies and integration of enterprises could have occurred without the RD&E investment. Non technical sources of change may have been the rising education level of farmers and infrastructure improvements to transport and communications (Mullen, 2007). Overall, it is estimated that 20% of the observed productivity growth over the period would have still occurred without the industry/public RD&E investment for the eight years. It is assumed that the initial productivity growth would have fallen from 1999/2000 (1.3% p.a.) to 2004/05 (0.26% p.a.) and then continued on at this level. This productivity gain could be viewed as running on existing technology for several years and declining to the 0.26% p.a. level in 2004/05. The cost of production of beef in 2000/01 is assumed to have been $1.94 per kg carcase weight in 2007/08 $ terms. This has been derived from an average cost of production of kg liveweight in 2005/06 (MLA, 2007) by adjusting for dollar term differences, productivity changes and carcase yield). The productivity gain of 0.26% per annum was then translated into a cost of production reduction. This annual gain would have been cumulative. Most of the productivity changes have been output increasing rather than input reducing. A conservative approach to estimating economic surplus has been applied. The economic surplus approach assumes a downward shift of the supply curve due to the cost reduction (Edwards and Freebairn, 1981). The method used in this analysis estimates the economic surplus by multiplying the unit cost reduction by the average quantity produced before the investment commenced. This ignores the additional economic surplus caused by the downward shift of the supply curve; in most cases this additional surplus is relatively insignificant and therefore the method used here is a reasonable approximation (Mullen, 1996). This additional surplus is directly related to the elasticities of the demand and supply curves. The 憌ith?RD&E Scenario This is the observed scenario and is based on the ABARE productivity gain of 1.3% per annum that has been assumed to have applied over the period (ABARE, 2008). The RD&E investment post 1999/2000 is assumed to have contributed to 80% of this productivity gain each year (as it produced new technology and stimulated further adoption of existing technology) until 2008/09 when the gain (1.04% pa) would start to decrease as RD&E investment was withdrawn. After 2008/09 it is assumed that the productivity gain would have fallen from 1.04% pa to 0.26% pa over five years and then continued on at the 0.26% level. As for the counterfactual scenario, the benefits are estimated only on the average annual production level that applied in the four years before the investment commenced in 2000/01. Attribution of Benefits to MLA As mentioned earlier, it is estimated that about 20% of the actual total southern beef RD&E investment over the period has been made by MLA. The other 80% of funding has been contributed by other research and extension agencies, predominantly the State Departments of Primary Industries (DPIs), as well as such organisations as the CSIRO and Universities. However, MLA has leveraged some of this 80% into beef RD&E by funding projects in part if other organisations also committed resources. It is estimated that without the MLA investment, the hypothetical RD&E effort (observed at say 80%) would have fallen by about one quarter. For example, if the observed RD&E commitment over the period had been 100 units, and MLA committed 20 units, then, in the absence of MLA funding the commitment by others would have been only 60 instead of 80 units. Thus, approximately 25% of the observed benefits over a zero industry/public RD&E scenario could be considered attributable to MLA. Summary of Assumptions A summary of the assumptions made for valuing the principal benefits from the R&D investment are given in Table 8.1 Table 8.1: Assumptions for Estimating Investment Criteria for Production RD&E for Southern Beef Variable Assumption SourceProduction performance in the 1990sAverage Annual Southern Beef Numbers in four years before July 200010,855 m cattle Table 6.1Average Annual Southern Beef Turnoff for Slaughter in four years before July 20004,562,000 slaughtered of a herd of 10,855,000 = turnoff of 42% Table 6.2 Implied carcase weight 222 kg Average for Australia from 1997 to 2000 (ABARE) Average annual weight of carcase beef produced 1997 to 2000 1,012,764 tonnes4,562,000 times 0.222 tonnes Cost of production in 1999/2000$1.03 per kg liveweight in 2007/08 terms after adjustment for productivity changes Based on $0.915 per kg liveweight in 2005/06 $ terms (derived from MLA, 2007)Observed productivity gain occurring before 2000/011.3% per annumBased on Table 6.7Carcase yield 55% of liveweight Agtrans Research Without All RD&E Investment Proportion of observed productivity gain due to RD&E 80%Agtrans Research Productivity Gain post 1999/2000 1.3% p.a. falling to 0.26% p.a. by 2004/05 (20% of 1.3%)Agtrans Research based on ABARE (2008) With All RD&E Investment to 2007/08Productivity gain post 1999/20001.3% per annum to 2007/08 then falling to 0.26% p.a. by 2012/13Agtrans Research based on ABARE (2008) Attribution of benefits from RD&E to MLA 20%Agtrans Research based on Table 3.2  9. Investment Criteria Results All past costs and benefits were expressed in 2007/08 dollar terms using the CPI. All benefits after 2007/08 were expressed in 2007/08 dollar terms. All costs and benefits were discounted or compounded to 2007/08 using a discount rate of 5%. The discount rate of 5% was selected in line with the guidelines of the standardised evaluation process adopted by the Committee of Chairs of the Rural R&D Corporations (RDCs). The standard analysis ran for 20 years from the last year of investment (2007/08). Investment criteria of Net Present Value (NPV), Benefit-Cost Ratio (B/C Ratio) and Internal Rate of Return (IRR) were estimated at a discount rate of 5%. The NPV is the difference between the Present Value of Benefits (PVB) and the Present Value of Costs (PVC). Present values are the sum of discounted streams of benefits and/or costs. The B/C Ratio is the ratio of the PVB to the PVC. The IRR is the discount rate that would equate the PVB and the PVC, thus making the NPV zero and the B/C ratio 1:1. A glossary of economic terms is available in Appendix 3. Results are presented for the total investment in RD&E as well as for MLA alone. The attribution of the total benefits stream is based on the proportion of total costs in 2007/08 $ terms that has been contributed by MLA (estimated at 11%). The investment criteria are reported in Table 9.1. Total investment includes that for MLA, State DPIs and other public RD&E investment such as that from CSIRO and the Universities. Table 9.1: Investment Criteria for Investment in Southern Beef Production RD&E (discount rate 5%, 20 year benefit horizon) Criterion Total Investment MLA Investment Present value of benefits (m$)1,334145Present value of costs (m$)41644Net present value (m$)918101Benefit cost ratio3.23.3Internal rate of return (%)20.922.4 Tables 9.2 and 9.3 provide the investment criteria for alternative time horizons for benefits (5, 10, 15, 20, and 25 years after the year of last investment). The investment criteria are for both total investment and for MLA investment alone. Table 9.2: Investment Criteria for Total Investment ?Different Benefit Horizons (discount rate 5%) Criterion 0 years5 years10 years15 years20 years25 yearsPresent value of benefits (m$)2646239191,1521,3341,477Present value of costs (m$)416416416416416416Net present value (m$)-1522075047369181,061Benefit cost ratio0.61.52.22.83.23.6Internal rate of return (%)Negative14.719.320.520.921.1Table 9.3: Investment Criteria for MLA Investment ?Different Benefit Horizons (discount rate 5%) Criterion 0 years5 years10 years15 years20 years25 yearsPresent value of benefits (m$)2968100125145160Present value of costs (m$)444444444444Net present value (m$)-16235681101116Benefit cost ratio0.61.52.32.83.33.6Internal rate of return (%)17.237.724.339.840.140.1 Cash flow of benefits The cash flow of benefits is shown in Figure 9.1 for the total investment. Figure 9.1: Benefit Cash Flow  Sensitivity Analyses Sensitivity analyses were carried out on a range of variables and results are reported in Tables 9.4 to 9.6. All sensitivity analyses were performed using a 5% discount rate (except for Table 9.4) and for the MLA investment only (except for Table 9.6). Benefits were estimated over the life of the investment plus 20 years from the year of last investment. All other parameters were held at their base values. Table 9.4: Sensitivity of Investment Criteria to the Discount Rate (MLA Investment, 20 year benefit horizon) Criterion Discount rate 5%Low value 2.5%Base value 5%High value 10%Present value of benefits ($m)173145110Present value of costs ($m)414452Net present value ($m)13210158Benefit-cost ratio4.23.32.1 Table 9.5 shows the changes in investment criteria with different assumptions regarding the proportion of the productivity gain observed that would have occurred without the RD&E investment. The RD&E investment has to contribute only 24% to the total productivity gain observed in order for the investment to break even at a 5% discount rate. Table 9.5: Sensitivity to Contribution to Observed Productivity Gain by RD&E investment (MLA investment, 5% discount rate; 20 year benefit horizon) Criterion 60%80% (Base)100%Present value of benefits (m$)109145181Present value of costs (m$)444444Net present value (m$)64101137Benefit cost ratio2.43.34.1Internal rate of return (%)16.822.427.8 Table 9.6 shows the changes in investment criteria with different assumptions regarding the overhead multiplier for the State Agencies, CSIRO etc. Table 9.6: Sensitivity to Overhead Multiplier for RD&E Expenditure (Total investment, 5% discount rate; 20 year benefit horizon) Criterion 1 (salaries plus on costs only ) 1.5 (Base)2.5Present value of benefits (m$)1,3341,3341,334Present value of costs (m$)292416664Net present value (m$)1,042918670Benefit cost ratio4.63.22.0Internal rate of return (%)28.927.313.2 10. Investment Analysis Case Studies The results of this top down approach to analysing the investment is supported by a series of investment analyses for specific investments by MLA and others in southern beef RD&E. Summaries of these analyses are reported in Appendix 1. Some of the benefits from these investments will apply to northern beef and sheepmeat as well as southern beef (specifically EDGEnetwork?and Beef Cattle Genetics). Hence the results summarised in Appendix 1 can not be compared directly with the top down approach by simply summing benefits or net present values. However, the benefit cost ratios reported would apply directly to southern beef and they ranged from 4 to 1 up to 17 to 1. 11. Conclusions The analysis has used a top down approach to estimate the return to MLA investment in southern beef cattle RD&E over the period 2000/01 to 2007/08. The top down approach has involved comparing a 憌ith?RD&E investment scenario with the scenario of what would have happened if the specified RD&E investment had not taken place. Assumptions to shape the latter scenario are difficult and usually have to be subjectively made. Given the assumptions made, the investment has provided a high return to the industry and to Australian economy. Consumers and intermediaries along the supply chain will have benefited as well as southern beef producers. The investment criteria for the total investment made in production RD&E are quite positive, demonstrating that the investment has been successful in economic terms. The net present value for the total investment is estimated at $918 million (5% discount rate, 2007/08$ terms, discounted to 2007/08, 20 year benefit horizon). The benefit cost ratio is estimated at 3.2 to 1, and the internal rate of return is estimated at 21% per annum. The MLA investment has been reported as providing a net present value of $101 million and a similar benefit cost ratio and internal rate of return as reported above for total investment. Acknowledgements Rob Banks, Manager, MLA Southern Beef Program MIchael Goldberg, MLA Skye Richmond, MLA Steven Skinnner, MLA Shiji Zhao, ABARE An acknowledgment is made also to various personnel in the DPI State Agencies in NSW, Victoria, Tasmania, South Australia and Western Australia for assisting with their estimates of RD&E investment. References ABARE (2004) 揂ustralian Beef Industry? Australian Beef 04.2, Canberra ABARE (2007) Australian Commodity Statistics, Canberra ABARE (2008) 揚roductivity Growth? Australian Commodities, Vol 15 No 1, March 2008 Anon (1995) 揟he Productivity of Specialist Wool Growing in Australia? Report to the IWS by Swan Consultants, Canberra Axiom Research (2007) 揗eat and Livestock Australia: Awareness and Adoption, KPI Evaluation 2007? Centre for International Economics (2001) 揟he CRC for Weed Management Systems: an Impact Assessment ? CRC for Weed Management Systems, Technical Series No 6, University of Adelaide. Centre for International Economics (2007) 揋uidelines for Economic Evaluation of R&D? Report prepared for the Grains R&D Corporation and the Rural Industries R&D Corporation by the Centre for International Economics? Canberra. CSIRO Entomology (2006) 揟he Biological Control of Paterson抯 Curse and Scotch Thistles: A long term investment by grazing industries, State and Federal governments? Final Report of Project ECO10-D (March 2006) and Milestone Report No 6 (May 2006). Constable G A (2000) 揟he components of high yields in Australia? CSIRO Cotton Research Unit, mimeo paper. Edwards G and Freebairn J (1981) 揗easuring a Country抯 Gains from Research: Theory and Application to Rural Research in Australia? Report to the Commonwealth Council for Rural Research and Extension, Canberra, AGPS. GRDC (1992) 揋ains for Grain: Volume 3, Guidelines for Economic Evaluation? Occasional Paper Series no 3, Canberra. GRDC (1993) 揋ains for Grain: Volume 3, Benefit 朇ost Methods in Research Evaluation? P D Chudleigh and K A Bond (Eds), Proceedings of a workshop held in Canberra, Occasional Paper Series no 3, Canberra. Griffith G (2005) 揈stimating the Economic Impact of a Major Beef Industry Research and Development Investment: the renewal of the CRC for Beef Genetic Technologies ? CRC, Armidale Hassall and Associates (2004) 揟riple Bottom Line Evaluations: Volume 1: Review of Southern Beef and Lamb and Sheepmeat Programs? Report to MLA. Hooper S (2007) 揕PI Awareness and Adoption 2005-06: Meat and Livestock Australia: Management Practices Survey 2005-06? ABARE, Canberra. Knopke P, O扗onnell V and Shepherd A (2000) 揚roductivity Growth in the Australian Grains Industry? ABARE Research Report 2000.1, Canberra. Knopke P, Strappazon L and Mullen J (1995) 揚roductivity Growth: Total Factor Productivity in Australian Broadacre Farms? December Quarter, Australian Commodities, ABARE. Males W, Davidson H, Knopke P, Loncar T, and Roarty M, (1990) 揚roductivity Growth and Development in Australia抯 Primary Industries ? ABARE Discussion Paper, Canberra. McCausland I (2006) 揜eport Relating to Red Meat Research, Development and Extension?MLA, Sydney. MLA (2007) 揅alculating Cost of Production for Your Beef Enterprise? Tips and Tools. Mullen J (1996) 揜eturns to Agriculture from Public Research between 1953 and 1994? Report for RIRDC, Canberra Mullen J (2007) 揚roductivity Growth and the Returns from Public Investment in R&D in Australian Agriculture? Presidential Address to 51st Annual Conference of AARES, Queenstown, New Zealand. Mullen J D and Cox T L (1995) 揟he Returns from Research in Australian Broadacre Agriculture? Australian Journal of Agricultural Economics Vol 39, No 2. Taverner Research Company (2004) 揚rograzier Reader Involvement Research: Quantitative Findings? Report to MLA, March 2004. Vere D, Griffith G, Silvester L (2005) 揂ustralian Sheep Industry CRC: Economic Evaluation of Scientific Research Programs? NSW DPI and Sheep CRC, Economic Report No 27, December 2005. Welsman S (2001) 揚IRDS: MLA Producer Initiated Research and Development: Strategic Review? May 2001. Appendix 1: Supporting Economic Evaluation Case Studies Other investment analyses that support the top down analysis presented earlier are reported in this appendix. Most of these analyses were carried out recently by Agtrans Research under processes managed by MLA. Some of the analyses were used in the accountability process initiated by the Committee of Chairs of the RDCs. These economic evaluations included: Quantitative Genetics Research Regional Systems to meet Market Specifications The Sustainable Grazing Systems Program Grain & Graze Program Delivery of Biological Control Agents for Broad-Leafed Weeds in Temperate Pasture Profitable Animal Production from Perennial Pastures (Evergraze Program) EDGEnetwork? The results of these evaluations are provided in Table A.1. Summaries are given in the following sub-sections A1 to A7. Table A.1: Summary of Investment Criteria for Supporting Studies (5% discount rate, discounting to 2005/06, 2005/06 $ terms, 25 year benefit horizon) InvestmentPVBPVCNPVB/CBeef Specific 1. Quantitative Genetics Research 10.432.937.493.62. Regional Systems to Meet Market Specifications 83.549.8773.678.5Cross Commodity 3. The Sustainable Grazing Systems Program 191.5653.10138.463.614. Grain & Graze Program 206.3131.57174.746.545. Delivery of Biological Control Agents for Broad-Leafed Weeds in Temperate Pasture1,000.6460.0940.6516.686. Evergraze Program90.0914.5175.596.217. EDGEnetwork?59.214.744.54.0 A.1 Quantitative Genetics Research for the Beef Industry MLA and its predecessors have invested continuously in beef genetics research and genetic evaluation systems. Much of the investment concerned with improving genetic evaluation has occurred through the Animal Genetic and Breeding Unit (AGBU) located at the University of New England. BREEDPLAN and BreedObject constitute Australia抯 principal genetic evaluation system for beef cattle. BREEDPLAN assembles economic breeding values for a series of traits while BreedObject combines the individual BREEDPLAN traits into an economic $ index. A series of investments by MLA and its predecessors, in conjunction with the parent organisations of AGBU (University of New England and NSW Department of Primary Industries), has been aimed at improving BREEDPLAN and BreedObject. The total financial investment in two projects is shown in Table 1. Table 1: Resources Invested by Year for MLA and the Researchers 1997/98 to 2001/02 (nominal $) (a) YearMLA funds AGBU (in- kind) (b)Total1997/98400,000400,000800,0001998/99360,000360,000720,0001999/00240,650240,650481,3002000/01128,484128,484256,9682001/02130,866130,866261,732Total1,260,0001,260,0002,520,000Source: MLA and Animal Genetics and Breeding Unit (AGBU) AGBU is funded by the University of New England and the NSW Department of Primary Industries. It is assumed that the contribution of AGBU was approximately equivalent to that of MLA (Hans Graser, pers.comm., July 2006). Benefits are described here as being economic, environmental or social. Economic The enhanced versions of BREEDPLAN and BreedObject contributed to more efficient and effective industry servicing and faster rates of genetic progress in both southern and northern beef cattle herds. Environmental and Social There were limited environmental and social benefits emanating from this investment. The present value estimates for the net benefits resulting from selection and crossbreeding provided in the Farquharson analysis are provided in Table 2. Table 2 shows the results of the investment analysis. Table 2: Investment Criteria in Different Dollar Terms and at Different Times for Investment in BFGEN.002 (7% discount rate) Criterion All Benefits and Costs of Two Projects (2001$ as at 2000/01)Present value of benefits ($m)10.43Present value of costs ($m)2.93Net present value ($m)7.49Benefit-cost ratio3.6 to 1Internal rate of return (%)no solution This five year investment in quantitative genetics research for the beef industry was part of MLA抯 continuous support for maintaining and improving genetic evaluation systems for beef cattle. This support is predominantly through BREEDPLAN and BreedObject. The investment considered here has enhanced the versions of BREEDPLAN and BreedObject being used by AGBU and has contributed to more efficient and effective industry servicing and faster rates of genetic progress in both southern and northern beef cattle herds. The economic evaluation has used the recent evaluation of all beef genetics investment in Australia to provide estimates of investment criteria for this $4.7 m investment in the two projects (present value of costs in 2005/06 $ terms as of 2005/06 using a 7% discount rate). The Net Present Value of the investment was estimated at $12.0 m (2005/06 $ terms as of 2005/06, 7% discount rate) and the Benefit-Cost ratio was estimated at 3.6 to 1. The internal rate of return was approximated at 19%. A.2 Regional Systems to Meet Market Specifications Through BreedPlan producers have available bulls with Estimated Breeding Values (EBVs) for a wide range of carcase traits within each breed as well as a large selection of breeds. When sires with different carcase or growth rates are used, it is advantageous for producers to determine the most appropriate growth paths and the consequences of not achieving those pathways to meet target specifications in their final product. Two meat quality trait EBVs available through BreedPlan were retail beef yield and marbling. Using these EBVs provided the potential for producers to select bulls for meat quality traits which when accompanied by the appropriate growth path, could enable their progeny to more fully achieve compliance with future market specifications. The purpose of the investment was to use combinations of genetics, nutrition and best management practices to improve compliance with market specifications across southern Australia. Table 1 provides information on the resources committed by MLA to the project and those estimated for the research organization and others. Table 1: Resources Invested by Year for MLA and the Research Organisation for Project SBP.006 (nominal $) YearMLA funds (a)Researcher Contribution (b)In-kind contribution (c)Producer contribution (d)Total1999/00-27,000120,000286,000433,0002000/01-191,194900,000286,0001,377,1942001/0279,32279,322900,000286,0001,344,6442002/03164,171164,171600,000286,0001,214,3422003/04153,349153,349600,000286,0001,192,6982004/05204,620204,620600,000286,0001,295,2402005/0665,53865,538600,000286,0001,017,076Total667,000885,1944,320,0002,002,0007,874,194The contract budget was extended by $25,000 in 2003/04 (variation 1) and by $117,060 in 2004/05 and 2005/06 (variation 2); these additional payments are included in Table 1. The contract with the CRC specified interest as 50% MLA and 50% research organisation. Hence, the research organisation contribution is assumed equivalent to the contribution of MLA In kind contributions (estimated by Bill McKiernan) from cooperating partners in the CRC including DPIs from NSW, Vic, S.A., W.A. and for the first 2 years QDPIF also. There was some in-kind contributions from the producer co-operators ?in NSW this was estimated to be in the order of $550,000 m for the life of the project including AI, labour, mustering and land and cattle resource usage but excluding drought feeding (Source: Bill McKiernan). Total estimate based on $2m over all sites and spread evenly over the 7 years. A summary of the likely benefits from the investment in the project are provided in Table 2. Table 2: Summary of the Economic, Environmental and Social Benefits from the Investment EconomicEnvironmentalSocialIncreased efficiency of utilisation of pasture resource leading to higher productivity Increased farm incomes could lead to improved management of environmental resources Increased confidence and capacity in integrating technologies across breeding, nutrition and market requirementsReduced cost of production for beef Table 3 provides the results of the investment analysis at a discount rate of 5% Table 3: Investment Criteria by Type of Benefit and Costs Included (Discount Rate 5%) Criterion All benefits and all costs Present value of benefits ($m)83.54Present value of costs ($m)9.87Net present value ($m)73.67Benefit-cost ratio8.46 to 1Internal rate of return (%)20.9 The investment is producing information that, when analysed, can be used to clarify and communicate the tradeoffs involved in selecting genetics, stocking rates and feeding regimes for southern beef production systems. The principal benefits delivered by the investment will not only depend on the results of the analysis, but also on how effectively the implications of the results for decision making on-farm are communicated to producers. This may take the form of principles and guidelines derived from modelling or by more specific use of models by training producers or extension personnel. The investment analysis results reported here are boosted by the expected benefits from the likely changes to calving time in Western Australia. The indications are that this benefit alone will more than pay for the total investment. Considering all benefits and investment, the net present value is estimated at $74 m, with a benefit-cost ratio of 8.5 to 1, at a discount rate of 5%. A.3 The Sustainable Grazing Systems Program While SGS was an MLA initiative, the program had several partners including Land and Water Australia (LWA), Murray Darling Basin Commission (MDBC), State agencies and several universities. Large numbers of producers also contributed to the program. The total investment costs in the project are shown in Table 1. Table 1: Resources Invested by Year for MLA, the Researchers and Funding Partners in SGS (nominal $) YearMLALWAOthers (a)Total1996/972,000,000540,0003,300,0005,840,0001997/982,000,000250,0003,300,0005,550,0001998/992,000,000250,0003,300,0005,550,0001999/002,000,000250,0003,300,0005,550,0002000/012,000,000 250,0003,300,0005,550,0002001/02125,000125,000Total10,000,0001,665,00016,500,00028,165,000(a) Estimate includes MDBC, NSW Agriculture, DNR (Vic), Dept Ag (WA), DLWC (NSW), the International Wool Secretariat, and the Universities of Melbourne and New England, plus producers?contributions in kind. Source: LWA; Cameron Allan, pers comm, 2003; Mason et al (2003). A summary of the benefits derived from the investment is presented in Table 2. Table 2: Summary of the Economic, Environmental and Social Benefits from the Investment EconomicEnvironmentalSocialIncreased productivity of pasturesIncreased water utilisation by pastures from rotational grazing and from wider use of perennial species Increased capacity building in producer regions through the networking and improved capacity of individuals to seek change and learnHigher stocking rates and increased productivity of animals Reduced water accessions to groundwater resulting in potentially less waterlogging and less chance of salinity outbreak on the propertyIncreased capacity of researchers to integrate with livestock producers Profitability gains for producers Reduced likelihood of soil erosion and export of contaminants Gains in efficiencies and effectiveness among consultants and agency personnelContribution to biodiversity improvementImproved management of climatic variabilityImproved biosecurity by improved control of weeds  Table 3 shows the results for investment from all sources including the MLA funding for SGS. Table 3: Investment Criteria for Total Investment and Total Benefits for SGS (discount rate 5%) Criterion 0 years5 years10 years15 years20 years25 yearsPresent value of benefits (m$)40.3486.79123.19151.71174.05191.56Present value of costs (m$)53.1053.1053.1053.1053.1053.10Net present value (m$)-12.7633.6970.0998.61120.95138.46Benefit cost ratio0.761.632.322.863.283.61Internal rate of return (%)negative19.9024.1025.1225.4025.49 The cash flow of benefits is shown in Figure 1 for both the total investment and for the MLA investment. Figure 1: Benefit Cash Flow  Not only has profitability of some producers been improved, there has been an increased awareness of environmental issues as well as long-term benefits to the environment. Capacity of producers and support service personnel has also been enhanced. The sustainability benefits from this investment have not been explicitly valued in the analysis. This was due to the difficulty in linking the grazing system management changes made to the significance in changes in groundwater accessions and then further links to waterlogging and salinity outcomes. No doubt there will be some impacts in the long term. The management changes are likely to be ameliorative or preventative in nature. The profitability benefits capture to some extent the sustainability benefits since the producer benefits are assumed to continue for a period of years, an assumption supported by the likely water management impacts. A.4 Grain & Graze Meat & Livestock Australia (MLA) is one of four partners in a research program called Grain & Graze (G&G). The program is a cooperative effort of four Rural Research & Development Corporations (RDCs) ?Australian Wool Innovation Ltd (AWI), the Grains R&D Corporation (GRDC), Land & Water Australia (LWA) and MLA. MLA is the largest financial contributor of the four RDCs. The program抯 investment is largely delivered through nine regionally focused projects, which in themselves use collaborative approaches with many partners involved including State agencies. Table 1 presents the annual resources invested by MLA and its partners in the entire G&G program. Table 1: Resources Invested by MLA, Partners and Researchers (nominal dollar terms) YearMLAAWIGRDCLWAInterestOther1Total2003/041,200,0000406,000278,0004,6851,961,0563,849,7412004/051,200,000750,000517,000300,00056,7502,931,9525,755,7022005/061,300,000750,000813,000400,00003,388,0336,651,0332006/071,300,000750,000496,000500,00003,162,7186,208,7182007/081,300,000750,000553,000822,00003,556,2416,981,241Total6,300,0003,000,0002,785,0002,300,00061,43515,000,00029,446,4351 Mostly in-kind funding provided by 12 farming groups, seven CMAs and 16 research and extension providers including State Agencies. Table 2 presents a summary of the expected benefits from the investment in the G&G program in a triple bottom line format. Table 2: Summary of the Economic, Environmental and Social Benefits from the Investment EconomicEnvironmentalSocialIncrease in average farm incomePotentially improved natural resource condition on-farmIncreased capacity to act on a whole-farm basisReduced variability in average farm incomePotentially improved regional biodiversity and water quality Institutional capacity building in terms of networks and relationships Improved biosecurity by improved control of weeds Table 3 shows the results for investment from all sources including the MLA funding for G&G. Table 3: Investment Criteria for Total Investment and Total Benefits for G&G (discount rate 5%) Criterion 0 years5 years10 years15 years20 years25 yearsPresent value of benefits (m$)10.2945.52100.58144.68179.24206.31Present value of costs (m$)31.5731.5731.5731.5731.5731.57Net present value (m$)-21.2813.9669.01113.11147.67174.74Benefit cost ratio0.331.443.194.585.686.54Internal rate of return (%)negative14.0824.9726.9027.3827.52 The cash flow of benefits is shown in Figure 1 for both the total investment and for the MLA investment. Figure 1: Benefit Cash Flow  Based on the assumptions made, at a 5% discount rate the total investment in Grain & Graze will provide a net present value of $174.7 million a benefit cost ratio of 6.5 to 1, and an internal rate of return of over 27%. The investment criteria reported here are probably underestimates as environmental benefits potentially exist but have not been valued. A.5 Delivery of Biological Control Agents for Broad-Leafed Weeds in Temperate Pasture Organisations involved in this investment were MLA, AWI, CSIRO (Division of Entomology), NSW Department; of Agriculture, Victorian Department of Primary Industries, South Australian Research and Development Institute (SARDI), and the Western Australian Department of Agriculture. The total investment costs in the project from 2001/02 are shown in Table 1. Table 1: Resources Invested by Year for MLA, the Researchers and Funding Partners for Project WEED.400A (nominal $) YearMLAAWIOthersTotalExtension of TR.047(a)2001/0291,650228,350153,967473,9672002/0368,979251,021961,8231,281,823WEED.400A (b)2003/04180,000272,000844,602 1,296,6022004/05180,000286,000844,602 1,310,6022005/06 145,67116,250844,602 1,006,523Total666,3001,053,6213,649,596 5,369,517Source of MLA contribution for extension to TR.047 was Cameron Allan, pers comm., July 2006. Source of AWI contribution for extension to TR.047 was by subtraction with $320,000 assumed for the combined AWI and MLA contribution as discussed with Cameron Allan. Source for others was project proposal. Source of figures for WEED.400A was the original contract; Total for others included CSIRO ($833,346), NSW Ag ($635,615), DSE ($546,118), SARDI ($200,213) and WA Dept Ag ($318,513) A summary of the benefits from improved control of Paterson抯 curse and Onopordum thistles in economic, environmental and social categories is presented in Table 2. Table 2: Summary of the Economic, Environmental and Social Benefits and Costs from the Investment EconomicEnvironmentalSocialReduced cost of weeds to producers in southern Australia from higher pasture productivity and ensuing increased stocking rates Reduced chemical use for control may benefit the environment Reduced incidence of skin irritations and allergies from Paterson抯 curse and a reduced social nuisance value of thistle infestation Reduction in control costs (including chemicals) of dense infestations for landholders, landcare goups and local councils More stable land cover resulting in reduced erosion Increased capacity of landholders to work togetherReduction in losses of pigs and horses from poisoning from Paterson抯 curseImproved biosecurity by improved control of weedsImproved capacity of rural groups and institutions, including researchers, to work cooperatively Reduced downgrading of wool due to vegetable matter contamination from thistles Cost to apiarists from reduced utilisation of Paterson抯 curse Table 3 shows the results for investment from all sources including the MLA funding for the investment. Table 3: Investment Criteria for Total Investment and Total Benefits for Weed Investment (discount rate 5%) Criterion 0 years5 years10 years15 years20 years25 yearsPresent value of benefits (m$)15.46191.84445.36673.24855.651,000.64Present value of costs (m$)60.060.060.060.060.060.0Net present value (m$)-44.53131.85385.37613.25795.66940.65Benefit cost ratio0.263.207.4211.2214.2616.68Internal rate of return (%)negative10.713.514.414.815.0 The cash flow of benefits is shown in Figure 1 for both the total investment and for the MLA investment. Figure 1: Benefit Cash Flow  The investment by MLA and others in biological control of selected temperate weeds is now commencing to pay off. Paterson抯 curse and Onopordum thistles are being reported by producers as being increasingly controlled by the biological agents released. While the total investment has been large and has persisted over a long period, the payoffs too are likely to be very significant. The resulting investment criteria are expected to be underestimates as benefits from the control of Onopordum thistles and other species addressed by the program have not been considered in the benefit-cost analysis. A.6. Evergraze Program The total investment costs for the program are shown in Table 1. Table 1: Resources Invested by Year for MLA, the Researchers and Funding Partners for Projects HRZ.100, HRZ.201 and HRZ.200 (nominal $) YearMLA fundsCRC (Cash)CRC (In-kind) (a)Catchment Management Authorities (Cash) (b)Total2003/04190,0000190,0000380,0002004/051,163,392 300,0001,780,01195,0003,338,4032005/06613,458 300,0002,213,772155,0003,282,2302006/07710,592 300,0002,280,185100,0003,390,7772007/08724,984 300,0002,348,59003,373,574Total3,402,4261,200,0008,812,558350,00013,764,984Source: CRC for Plant-based Management of Dryland Salinity; CRC contribution for 2003/04 (HRZ.100) assumed equal to MLA contribution CSIRO, Adelaide University, University of Western Australia, DAFWA, DPI Victoria, Charles Sturt University and NSW DPI For example, in south-west Victoria, organisations involved are the Corangamite and Glenelg Hopkins Catchment Management Authorities. In Western Australia there is support from the South Coast Regional Initiative Planning Team and the Albany East Hinterland Group. In NSW, other groups include the Murrumbidgee Catchment Management Authority. A summary of the benefits produced is provided in Table 2. Table 2: Summary of the Economic, Environmental and Social Benefits from the Investment EconomicEnvironmentalSocialIncrease in net farm profit per ha for farms in the three catchments Reduced recharge to groundwater and reduced salinity and other contaminants (e.g. nutrients, sediments) in catchment waterways Potential animal welfare benefits from strategies that emerge regarding interaction of lamb survival with vegetation (e.g. break of slope shrub plantings) Increase in net farm profit for farms in other high rainfall zone catchmentsImproved terrestrial and aquatic biodiversityImproved capacity of rural based institutions to work cooperatively Reduced economic impact of salinity and other contaminants in waterways Improved management of climatic variability The investment criteria for the total investment are reported in Table 3. Table 3: Investment Criteria for Total Investment and Total Benefits (discount rate 5%) Criterion 0 years5 years10 years15 years20 years25 yearsPresent value of benefits (m$)06.8828.6355.3576.2890.09Present value of costs (m$)14.5114.5114.5114.5114.5114.51Net present value (m$)-14.51-7.6314.1240.8461.7875.59Benefit cost ratio00.471.973.815.256.21Internal rate of return (%)negativenegative13.518.619.920.3 The cash flow of benefits is shown in Figure 1 for both the total investment and for the MLA investment. Figure 1: Benefit Cash Flow  The EverGraze project is somewhat unique in that the experimental phase was preceded by a significant effort into catchment identification, system design, and modelling. The experimental work aimed at validating and demonstration is only just underway so there has been little evidence of any benefits captured to date. A.7 EDGEnetwork?The development of the EDGEnetwork?program has involved over 300 MLA projects, with 47 projects funded in the six years to June 30 2006. MLA developed contracts in each state with providers to deliver EDGEnetwork?where the provider takes responsibility for all EDGEnetwork?activities and reporting in that state, and in most cases, these licensees have been exclusively delivering EDGEnetwork?workshops in each state. The total investment costs in EDGEnetwork?from 1998/99 to 2005/06 are shown in Table 1. Table 1: Resources Invested by Year for MLA in EDGEnetwork?Projects (nominal $) YearActual Net Expenditure (a)47 projects from MLA spreadsheet (c)1998/991,222,273NA (b)1999/002,532,682NA (b)2000/011,929,228565,530 (a)2001/02874,000505,1402002/03946,000465,2792003/041,116,000797,9492004/05896,000670,778Projected: 2005/061,000,000711,868TOTAL10,516,1833,716,544(a) Includes all costs: R&D and LPI operating costs net of income In the development of EDGEnetwork?workshops, there has been a number of partners, particularly state DPIs. In the development of some workshops, State DPIs have made significant in-kind contributions. Table 2 provides a summary of the benefits from the EDGEnetwork?investment. Table 2 Summary of the Economic, Environmental and Social Benefits from the Investment in EDGEnetwork? EconomicEnvironmentalSocialEnhanced productivity of meat and livestock production through improved management decision making Sustainable management of biodiversity, weeds, water and soil health, and overcoming soil erosion and salinity, Increased personal capacity to manage and cope so reducing stress and improving quality of life Increased net farm income of producers Enhanced effectiveness of participation in regional and industry affairs Increase in knowledge, skills and confidence to change and adapt to industry and personal needs. Table 3 shows the results of the investment analysis using a 5% discount rate. Table 3: Investment Criteria by Type of Benefit and Costs Included (5% discount rate) Criterion All Net Benefits and All Investment in EDGEnetwork? Present value of benefits ($m)59.2Present value of costs ($m)14.7Net present value ($m)44.5Benefit-cost ratio4.0 to 1Internal rate of return (%)12.4 The total investment in EDGEnetwork?from 1997/98 to 2005/06 is estimated to produce a Net Present Value of $44 million and a benefit to cost ratio of 4.0 to 1. Appendix 2: Example of a Southern Beef PIRD Project Group: King Island Beef Producers Group Title: Increasing beef production on coastal dunes of King Island Aim: Development of Beef Production on Coastal Areas Contact: Rod Graham- 03 6462 1151- rothaigh@kingisland.net.au The overall aim was to increase beef production from the coastal dune area of King Island. Specifically the project focussed on improving the pasture feed base. Project objectives were to: Quantify the relative productivity (kg dm/ha) of improved and existing pastures. Determine the economics of applying fertiliser nitrogen to improved grass dominant pastures. Conduct an initial screening based of survival of potential pasture legumes. Conduct an initial screening based of survival of potential browse shrubs. Members established a number of trial areas measuring fertiliser application and feed production at various times of the year. A total of 95 species of legumes were also trialled to identify the best prospects in their old dune country. The early work showed that applying fertiliser to existing pastures provided no payback. But with new perennials of fescue, cocksfoot & rye grass and 3 applications of N in winter the trial paddock of 202 ha was able to carry 168 cows, which meant the property could carry a total of an extra 120 cows all year round. The high cost of fertiliser has meant the group are working on establishing the most persistent legumes with their perennials. The following quotes sum up local producer sentiment regarding this project: 揟he trial was good, well designed and clearly showed that the naturalised pasture wasn抰 going to respond economically to fertiliser. We need to improve the species. It gave me a better understanding of the soil reserves.? 揟he lucerne in the species trial looking at persistence was interesting.? 揟he field days were very well attended, and the planning and design of the trial was good. The testing of the reserves was useful and very interesting, and saved us a lot of money. This wasn抰 shown in the soil test. It was more useful looking at the fertiliser responses.? Appendix 3: Glossary of Economic Terms Benefit-cost analysis (BCA) - A conceptual framework for the economic evaluation of projects and programs in the public sector. It differs from a financial appraisal or evaluation in that it considers all gains (benefits) and losses (costs), regardless of to whom they accrue. Benefit-cost ratio (B/C Ratio) - The ratio of the present value of investment benefits to the present value of investment costs. Discounting - The process of relating the costs and benefits of an investment to a base year using a stated discount rate. Ex-post or historical analysis - Occurs after the research investment has been completed. It analyses the investment after completion with respect to benefit and cost outcomes attributable to the investment. Internal Rate of Return (IRR) - The discount rate at which an investment has a net present value of zero, i.e. where present value of benefits = present value of costs. Investment criteria - Measures of the economic worth of an investment such as Net Present Value, Benefit-Cost Ratio, and Internal Rate of Return. Net Present Value (NPV) - The discounted value of the benefits of an investment less the discounted value of the costs, i.e. present value of benefits - present value of costs. Present Value of Benefits (PVB) - The discounted value of benefits. Present Value of Costs (PVC) - The discounted value of costs.     Page  PAGE 2 of  NUMPAGES 55   Page  PAGE 55 of  NUMPAGES 55 partner logo [INSERT CATEGORY] In submitting this report, you agree that Meat & Livestock Australia Limited may publish the report in whole or in part as it considers appropriate. Project code:B.COM.1001Prepared by:Peter ChudleighAgtrans ResearchDate published:25 August 2008 ISBN:[MLA to provide] PUBLISHED BY Meat & Livestock Australia Limited Locked Bag 991 NORTH SYDNEY NSW 2059 Final Report: Economic Evaluation of MLA Southern Beef RD&E Investment for 2000/2001 to 2007/08 Published by partner logo This publication is published by Meat & Livestock Australia Limited ABN 39 081 678 364 (MLA). Care is taken to ensure the accuracy of information in the publication. 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la??臁颉????????? $$Ifa$gd抇:???( $$Ifa$gd抇:?kd?$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la????!?'?+?1?8??????? $$Ifa$gd抇:8?9?>?( $$Ifa$gd抇:?kdf6$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la??>?D?J?N?R?X?_??????? $$Ifa$gd抇:>?D?`?{?|?嚔崲摙煝"盯饥撷澧??1?7?Z?`?~?偅啠嚕專崳挘摚槪櫍湥潱ⅲ#福模牛郏~?麝芤荜麝荜麝麝麝麝麝鸥暖Ω鸥鸥鸥鸥艤挏僿kwhc2CJaJmH sH h;YCJaJmH sH hZTlhE%CJaJmH sH h?0^JmH sH h匛?^JmH sH h抇:h-?^Jh抇:h)[?^Jh抇:h)[?^JmH sH h抇:h-?^JmH sH h抇:hc26乛Jh抇:hc26乛JmH sH h抇:hc2^JmH sH h抇:hc2^J*_?`?{?( $$Ifa$gd抇:?kd&7$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la??{?|?}?~??€?嚔?????? $$Ifa$gd抇:嚔垻崲( $$Ifa$gd抇:?kd?$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la??崲摙櫌煝"阿?????? $$Ifa$gd抇:阿雹盯( $$Ifa$gd抇:?kd?$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la??盯饥垄娶挞尧佗?????? $$Ifa$gd抇:佗冖撷( $$Ifa$gd抇:?kdf9$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la??撷澧擘瘼酡??????? $$Ifa$gd抇:???( $$Ifa$gd抇:?kd&:$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la???????$?+??????? $$Ifa$gd抇:+?,?1?( $$Ifa$gd抇:?kd?$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la??1?7?=?C?G?M?T??????? $$Ifa$gd抇:T?U?Z?( $$Ifa$gd抇:?kd?$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la??Z?`?f?l?p?v?}??????? $$Ifa$gd抇:}?~?嚕( $$Ifa$gd抇:?kdf<$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la??嚕崳摚櫍潱#?????? $$Ifa$gd抇:牛( $a$gd匛??kd&=$$If杔?譃T??>??4!?FRRRRRR t???6?????4?4? la??~?饯扦&?(?)?*?+?L?U?a?h?i?k?l?m?n?r?{?棩櫏匹蕙翳糗吐汲晪﹡sf媈VN^〥h!3^JmH sH h!3mH sH h;YmH sH h匛?mH sH h\h歲?^JmH sH j?h\h\Uh\h匛?^JmH sH h歲?^JmH sH h?^JmH sH h;Y^JmH sH h匛?^JmH sH h歲?h?^J h\^JhZTlh匛?CJaJhZTlhE%CJaJmH sH h)[?CJaJmH sH h\CJaJmH sH hc2CJaJmH sH 牛趣)?+?i?k?m?n?櫏b?灕煢宝绂????????????????? $$Ifa$gd抇:$a$gd?? & Fgd匛?$a$gd\$a$gd@u$a$gd匛? & Fgd抇:蕙H?Q?_?`?a?b?嚘彟惁潶煢唉宝鸡?????-?4?;?222 $$Ifa$gd抇: $$Ifa$gd抇:?kd齵$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣l?p?q?v?z?~??>2?? $$Ifa$gd抇:?kd諀$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:~?偙啽嚤尡惐??>2? $$Ifa$gd抇:?kd硙$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:惐敱槺湵澅⒈???>2 $$Ifa$gd抇:?kd憕$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:⒈Ρ脖潮????>?kdo$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:潮副急辣谋缺????? $$Ifa$gd抇: $$Ifa$gd抇:缺杀伪冶直诒J>222 $$Ifa$gd抇: $$Ifa$gd抇:?kdM€$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣诒薇弑浔璞毂?>2?? $$Ifa$gd抇:?kd+?$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:毂鸨舯醣??>2? $$Ifa$gd抇:?kd ?$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:?? ? ?????>2 $$Ifa$gd抇:?kd鐐$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:???? ?!?6?????>6$a$gd匛??kd艃$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:)?-?5?6?7???A?z?|?啿⒉2げ俨诓?? ??? ?0?1?6?F?G?L?\?]?b?r?s?x?埑壋幊灣煶こ闯党撼食顺坛粘壮 ?戽芤芘芘芘翻牀爦棤姉爦棤姉爦棤姉爦棤姉爦梽~x~ h聓*^J h)$?^J h璕?^Jh抇:h)$?CJ^JaJh抇:h)$?^Jh抇:h)$?^JmH sH h抇:h)$?5乛Jh抇:h)$?5乛JmH sH h}?h)$?^JmH sH h聓*^JmH sH h)$?^JmH sH  h匛?^Jh匛?h鑡^mH sH h\vsmH sH /6?7?z?2げ恫俨诓鄄洳癫??????^???|kd$$IfT杔??TM ??^ t???6?????4?4? la??奣 $$Ifa$gd抇: $$Ifa$gd抇:$a$gd)$?gd匛? 癫?? ???>2 $$Ifa$gd抇:?kd9?$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇: ??????????>?kd?$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:? ?$?(?,?0?????? $$Ifa$gd抇: $$Ifa$gd抇:0?1?6?:?>?B?J>222 $$Ifa$gd抇: $$Ifa$gd抇:?kd飭$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣B?F?G?L?P?T??>2?? $$Ifa$gd抇:?kd蛧$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:T?X?\?]?b?f???>2? $$Ifa$gd抇:?kd珗$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:f?j?n?r?s?x????>2 $$Ifa$gd抇:?kd墘$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:x?|?€?劤埑壋????>?kdg?$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:壋幊挸柍毘灣????? $$Ifa$gd抇: $$Ifa$gd抇:灣煶こǔ俺J>222 $$Ifa$gd抇: $$Ifa$gd抇:?kdE?$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣俺闯党撼境鲁?>2?? $$Ifa$gd抇:?kd#?$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇:鲁瞥食顺坛 ???>91$a$gd)$?gd匛??kd?$$IfT杔?謗TM ?h ??c_YC t???6?????4?4? la??奣 $$Ifa$gd抇: ? ? ???M?N?P?Q?R?k?潭投追俜? ??)?0???????????????????? $$Ifa$gdB[? $IfgdB[? $ & Fa$gd匛? & Fgd匛?$a$gd匛?$a$gd9w?$a$gdXgd匛?$a$gd)$? ? ? ???M?N?O?P?Q?R?T?U?姶嫶e?p?投斩侄舛`?a?埛毞シ痉欠址胤俜叻岱夥浞?6?_?`?a?b?綦暹逡呛蔼Β彄殝噵~xrx~j揻揻h.4?h }lh匛?5?ht#ICJ h匛?CJh }lh匛?CJh?}h頸?hKhV h }lh匛?hXhI6?h聓*h匛? h??^Jh%^JmH sH h)$?h9w?^JmH sH j?h)$?h)$?UhXh9w?^JmH sH  h聓*^J h)$?^Jh)$?h)$?^Jj邖h)$?h)$?U(0?1?7?g[ $$Ifa$gdB[??kd?$$If杔?謀?$ ?,"??L(????????4? la?7?8?M?Y?c?v?????? $$Ifa$gdB[? $IfgdB[?^kd学$$If杔???,"?????????4? la?v?w?嫺椄「锤g^RRR $$Ifa$gdB[? $IfgdB[??kdM?$$If杔?謀?$ ?,"??L(????????4? la?b?澑灨煾牳蹈粮赂胃细崭指赘馗俑敫砀 ????$?%?E?F?G?H?\?]?a?b?h?敼暪柟椆裙晒使斯鞴*?+?I?J?K?L?~??€?伜昂藕押液愫浜旰牒旌砗詈???(?)?*?+?[?\?r?s?t?u?龌????O?P?d?e?躐貔聩聃聃聩聃聃聩聩轾貔貔貔貔貔貔妁貔貔貔貔貔貔聩聩聃聃h聓*h }lh匛?5?h匛?h.4? h }lh匛?Z锤蹈赂细俑旄g^RRR $$Ifa$gdB[? $IfgdB[??kd ?$$If杔?謀?$ ?,"??L(????????4? la?旄砀??$?g^RRR $$Ifa$gdB[? $IfgdB[??kd嫂$$If杔?謀?$ ?,"??L(????????4? la?$?%?2???I?\?g^RRR $$Ifa$gdB[? $IfgdB[??kd嚜$$If杔?謀?$ ?,"??L(????????4? la?\?]?^?_?`?a?g^RRR $$Ifa$gdB[? $IfgdB[??kdE?$$If杔?謀?$ ?,"??L(????????4? la?a?b?i?g[ $$Ifa$gdB[??kd?$$If杔?謀?$ ?,"??L(????????4? la?i?j?~?嵐樄????? $$Ifa$gdB[? $IfgdB[?^kd连$$If杔???,"?????????4? la?鹿凸喙g^RRR $$Ifa$gdB[? $IfgdB[??kd=?$$If杔?謀?$ ?,"??L(????????4? la?喙峁夤窆?g^RRR $$Ifa$gdB[? $IfgdB[??kd$$If杔?謀?$ ?,"??L(????????4? la???4?C?M?`?g^RRR $$Ifa$gdB[? $IfgdB[??kd巩$$If杔?謀?$ ?,"??L(????????4? la?`?a?b?w?偤暫g^RRR $$Ifa$gdB[? $IfgdB[??kdw?$$If杔?謀?$ ?,"??L(????????4? la?暫柡椇焙暮g^RRR $$Ifa$gdB[? $IfgdB[??kd5?$$If杔?謀?$ ?,"??L(????????4? la?暮藕液浜詈?g^RRR $$Ifa$gdB[? $IfgdB[??kd蟀$$If杔?謀?$ ?,"??L(????????4? la????g[ $$Ifa$gdB[??kd北$$If杔?謀?$ ?,"??L(????????4? 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la?辂奣j?r?岧擙旪}待谍俘冽挲臊忑酏? ? ?@?A?V?W?i?w?z?怇扊桛楟橚欮汘猖摸宁冼埝荥狺铤柽哂柿脯牀邘厧|s巗m巺m卪巑s巑s攥 h鷇m^Jh絕?hn4^Jh\W:h€I?^Jh絕?h#q^Jh絕?h€I?^Jh€I?hn4^Jh€I?h9f?5?乛Jh€I?hn45?乛Jh\W:h??^Jh絕?h??^Jh絕?h絕?^J h??^J h絕?^Jh\W:hn4^J h#q^J h9f?^J h c^J hn4^J&洱俘讫冽臊offf $Ifgdn4?kd?$$IfT杔?諪}鸃 ?<?~ ~ t??????????4?4? la?辂奣臊忑 ?of $Ifgdn4?kd@$$IfT杔?諪}鸃 ?<?~ ~ t??????????4?4? la?辂奣 ? ?@?D?V????? $Ifgdn4jkd?$$IfT杔??}?? t??????????4?4? la?辂奣V?W?z?楚埝offf $Ifgdn4?kdb$$IfT杔?諪}鸃 ?<?~ ~ t??????????4?4? la?辂奣埝荥offf $Ifgdn4?kd$$IfT杔?諪}鸃 ?<?~ ~ t??????????4?4? la?辂奣狺掰鳋'(4dev????????????/"#?翳荑疑篮篮辣罕棎墏{tm^mWmWm h葃?h?h葃?h;\CJOJQJ^J h葃?h;\ h葃?h* g h葃?h{? h葃?h$E? h葃?hD2? h甛?h甛?h甛?h鵿*h;\h;\^Jh\W:h;\^Jh絕?h;\^J h;\^Jh鷇mh;\^Jh\W:hn4^Jh€I?hn46乛Jh€I?h€I?5?乛Jh€I?hn45?乛Jh€I?h鵿*5?乛J%e?off] $Ifgd.4? $Ifgdn4?kd?$$IfT杔?諪}鸃 ?<?~ ~ t??????????4?4? la?辂奣?????offf $Ifgdn4?kdB$$IfT杔?諪}鸃 ?<?~ ~ t??????????4?4? la?辂奣??????/0"ojjbZZRZZ$a$gd;\$a$gd;\ & Fgd{?gd甛??kd?$$IfT杔?諪}鸃 ?<?~ ~ t??????????4?4? la?辂奣 "#?+WXcu????????? $$Ifa$gd.4?$a$gd;\$ & F?^?a$gd;\$a$gd;\?+X?????????????  ,015,-~??????????????????????         - 0 1 4 5 8 9 < = @ 蹶廑咱咱咱咱咱咱咱咱咱咱邵狸棱碘碘碘碘郛咱郛援郛咱郛咱 h葃?h?sh葃?h;\h?5?h葃?h;\^Jh?h;\B*ph h葃?h? h葃?h;\h葃?h;\5?h葃?h;\mH sH h葃?h;\CJaJD?????sg[[ $$Ifa$gd.4? $$Ifa$gd.4??kd?$$IfT杔4?諪s?????????????4? la?唔f4奣?????sg[[ $$Ifa$gd.4? $$Ifa$gd.4??kd+$$IfT杔4?諪s?????????????4? la?唔f4奣?????sg[[ $$Ifa$gd.4? $$Ifa$gd.4??kd?$$IfT杔4?諪s?????????????4? la?唔f4奣?? sg[[ $$Ifa$gd.4? $$Ifa$gd.4??kd}$$IfT杔4?諪s?????????????4? la?唔f4奣,16sg[[ $$Ifa$gd.4? $$Ifa$gd.4??kd&$$IfT杔4?諪s?????????????4? la?唔f4奣678+-?????skkkcckZZZ $Ifgd.4?$a$gd;\$a$gd;\?kd?$$IfT杔4?諪s?????????????4? la?唔f4奣 ????????? $Ifgd.4????' $Ifgd.4??kdx$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣????   ?????? $$Ifa$gd.4?  - ' $Ifgd.4??kdO$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣- 1 5 9 = A E ?????? $$Ifa$gd.4?@ A D F ] a b e f i j m n q r w ?????????????????????????4 G H b c k l t u } ~ ???????????????          螂螂螂螂螂螂螂螂螂螂螂螂螂螂螂螂螂螂嗾胪峦峦峦峦腧腧腧腧腧腧膣腧腧腧腧腧h葃?h;\h?5?h葃?h;\5?h葃?h;\mH sH h葃?h;\CJaJ h葃?h;\ h葃?h? h葃?h?sLE F ] ' $Ifgd.4??kd&$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣] b f j n r x ?????? $$Ifa$gd.4?x y ?' $Ifgd.4??kd?$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣????????????? $$Ifa$gd.4????' $Ifgd.4??kd?$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣????????????? $$Ifa$gd.4???4 '$ & F?^?a$gd;\?kd?$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣4 G H S [ c l u ~ ?????????? $Ifgd.4?$a$gd;\$a$gd;\ ???' $Ifgd.4??kd?$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣????????????? $$Ifa$gd?s???' $Ifgd?s?kdY"$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣????????????? $$Ifa$gd?s?? ' $Ifgd.4??kd0#$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣       ?????? $$Ifa$gd?s    - 0 1 4 5 8 9 < = @ A D ???       ??)*FGtu??????  ?螂螂螂螂螂螂睦殆蝙枌騼騼騼騴儯?h葃?h?/^Jh葃?h?^Jh葃?h;\5乛Jh葃?h;\^JmH sH h葃?h;\^Jh葃?h;\6?h9dh;\6丆JaJh#?h?h#?B*phj?h?h?B*Uphh葃?h;\6丆JaJ h葃?h?s h葃?h? h葃?h;\-  - ' $Ifgd.4??kd$$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣- 1 5 9 = A E ?????? $$Ifa$gd?sE F b ' $Ifgd.4??kd?$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣b g l q v { € ?????? $$Ifa$gd?s€ ???'$a$gd;\?kd?$$IfT杔4?譃恸?u ?]?E?sttttt????????4? la?N鹒4奣???      ?? )*5F??????????????? $$Ifa$gd.4? $Ifgd.4?$a$gd;\$a$gd;\FGHRWbept?}qqqqqq $$Ifa$gd.4? $Ifgd.4?xkdH6$$IfT杔4??? `??????????4? la?f4奣tu????`WK?K $$Ifa$gd梶? $$Ifa$gd.4? $Ifgd.4??kd?$$IfT杔4?謀? ? ???????????4? la?f4奣??????`WK?K $$Ifa$gd梶? $$Ifa$gd.4? $Ifgd.4??kd?$$IfT杔4?謀? ????????????4? la?f4奣??????`WK?K $$Ifa$gd梶? $$Ifa$gd.4? $Ifgd.4??kdb8$$IfT杔4?謀? ????????????4? la?f4奣??? `WK?K $$Ifa$gd梶? $$Ifa$gd.4? $Ifgd.4??kd9$$IfT杔4?謀? ????????????4? la?f4奣   de???`[SSKKS$a$gd;\$a$gd;\gd;\?kd?$$IfT杔4?謀? ????????????4? la?f4奣???    ????????pq?78???+????????????{??赈陉陉陉蝙蝙蝙蝙蝙御所涅涅涅徊矔矔矎?v弙?h9dh/^J h9dh/h.Ih/^J h/^Jh葃?h??^Jh葃?h/H*^Jh葃?h/6乛Jh葃?h/^Jh葃?h/0J' h葃?h??h葃?h?/5?h葃?hn?h葃?hT?5?h葃?h鬋?5?h葃?h;\5?h葃?h;\ h葃?h?/.? <@????F???kd?$$IfT杔4?攜謀{??)S ???????????4? la?琨f4奣 $$Ifa$gd.4? $$Ifa$gd.4?@DHIehk??H<?? $$Ifa$gd.4??kda;$$IfT杔4?謀{??)S ???????????4? la?琨f4奣 $$Ifa$gd.4? $$Ifa$gd梶?kno?????TH?<? $$Ifa$gd梶? $$Ifa$gd.4??kd.<$$IfT杔4?謀{??)S ???????????4? la?琨f4奣 $$Ifa$gd.4???????`TH<H $$Ifa$gd梶? $$Ifa$gd.4? $$Ifa$gd.4??kd?$$IfT杔4?謀{??)S ???????????4? la?琨f4奣??????`THHH $$Ifa$gd.4? $$Ifa$gd.4??kd?$$IfT杔4?謀{??)S ???????????4? la?琨f4奣???xy???`XPPHHP$a$gd?/$a$gd?/$a$gd;\?kd?$$IfT杔4?謀{??)S ???????????4? la?琨f4奣?(,378W]?????F???kdb?$$IfT杔4?攜謀{??)S ???????????4? la?琨f4奣 $$Ifa$gd梶? $$Ifa$gd梶?]cij??????TH??? $$Ifa$gd梶??kd3@$$IfT杔4?謀{??)S ???????????4? la?琨f4奣 $$Ifa$gd梶???????`THHH $$Ifa$gd梶? $$Ifa$gd梶??kdA$$IfT杔4?謀{??)S ???????????4? la?琨f4奣??????`THHH $$Ifa$gd梶? $$Ifa$gd梶??kd虯$$IfT杔4?謀{??)S ???????????4? la?琨f4奣????`THHH $$Ifa$gd梶? $$Ifa$gd梶??kd欱$$IfT杔4?謀{??)S ???????????4? la?琨f4奣+?????`XSSSSSK & Fgd/gd/$a$gd?/?kdgC$$IfT杔4?謀{??)S ???????????4? la?琨f4奣?{|??uv./???+AVl~HIT????*?????????????????????????gd渉?gd檒?gd??gd* g & Fgd{?$a$gd/??????\_?? /0y|?????+@TVl}~??HIT??*+?黢黢麒哞哞哞哞哞哞宜趴趴钩弓Э駷槥張亃乺k h咾?h甛?h檒?B*ph h|!h?? h|!h檒? h妅?h* gh妅?h甛?^J h妅?^Jh妅?h??^J h2C?^J hk?^J ha $^J h"U?^J h6 ^J h?)^J h.Ih* gh镮?h/B*^Jphh葃?h??^Jh葃?h/^J h/^Jh9dh/^J)*+?? ??????""??c#d#1$2$??|%}%&&?????????????????????????gda $$a$gd|!$a$gda $gd腍?gd甛?gd檒??? 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la?奣eee"e,e3e>eIe???????? $$Ifa$gd锽? $Ifgd锽?IeJe?kd!?$$IfT杔?执??:??3P<(#SSSSS?? t?????????4?4? la?奣Je蟚衑KfLf甪糵胒????????? $$Ifa$gd锽?$a$gd?@$a$gd?@gd?@ 胒膄鋐gLgmddd $Ifgd锽??kd沓$$IfT杔?諪? ?,"??? t???6??????4?4? la?奣LgMgxg秅mddd $Ifgd锽??kd}?$$IfT杔?諪? ?,"??? t???6??????4?4? la?奣gh2h3hmddd $Ifgd锽??kd ?$$IfT杔?諪? ?,"??? t???6??????4?4? la?奣3h4h5h6h7h昲梙鋒鱤鴋mh````XX`$a$gd?@$a$gd?@gd?@?kd澋$$IfT杔?諪? ?,"??? t???6??????4?4? la?奣 鱤鴋iiii$i%i-i.ixii篿纈鵬j-j2jpjvjxjyj醞鈐jkk輐fliljlml羖蝜鷏玬)n*n爊簄籲襫%o3o錹鎜萹蓂lrmrvr躅漕漕漕漕垲垲垲垲垲蓄填诡鄢郫台鄢鄢蹥蹛蹎蹎蹎蹎鄢?h?(h?@6乛Jh?(h?@5乛Jh?(h?@6丆J^JaJ h€d?h?@h秈\ h?@^J$j嫽h?(h?@UmHnHsH uh?@h?(h?@mH sH h?(h?@^Jh?(h?@h? h?(h?@h?(h?@CJaJ3鴋i iii%i.i7i??????? $$Ifa$gd锽?7i8iWi' $$Ifa$gd锽??kd-?$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣Wi]icijiqixii?????? $$Ifa$gd锽? $$Ifa$gd锽?i€i渋' $$Ifa$gd锽??kd?$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣渋╥甶磇篿纈?????? $$Ifa$gd锽? $$Ifa$gd锽?纈羒豬' $$Ifa$gd锽??kd鞣$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣豬遡錳雐騣鵬j?????? $$Ifa$gd锽? $$Ifa$gd锽?jjj' $$Ifa$gd锽??kd芨$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣jjj#j(j-j2j?????? $$Ifa$gd锽? $$Ifa$gd锽?2j3jOj' $$Ifa$gd锽??kd凉$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣OjXj^jdjjjpjvj?????? $$Ifa$gd锽? $$Ifa$gd锽?vjwjxjyj'$a$gd?@?kd$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣yj鈐鉰jkglhlil羖踡)n*n焠爊﹏璶磏簄?????????????????? $$Ifa$gd锽? $Ifgd锽? & Fgd?@gd?@$a$gd?@$a$gd?@簄籲襫PG $Ifgd锽??kd_$$IfT杔?謗?Fj ????$%%%????????4? la?奣襫觧踤鈔阯騨鷑?????? $$Ifa$gd锽? $Ifgd锽?bkd$$IfT杔????E????????4? la?奣鷑鹡o ooo$oPG;;;; $$Ifa$gd锽? $Ifgd锽??kd?$$IfT杔?謗?Fj ????$%%%????????4? la?奣$o%o3oPG $Ifgd锽??kdW$$IfT杔?謗?Fj ????$%%%????????4? la?奣3o4o$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣飜Xytyuywy鷝鹺讃貃賩駕2|4|眧絴緗脇蛗貄陓}}????????????????????? $$Ifa$gd锽? & Fgd?@gd?@$a$gd?@$a$gd?@躿鐊飡駕||緗}縺葊;?Z?靵??.?績蟽鷥????6?H?I?M?N?T?U?羷聞蕜藙觿詣軇輨?%?e?f?潊蛥覅????瀱焼爢鋰鎳閲陣骒莒骒莒骒骒骒骒淹仆仆蒲仆苹票票票票旗旗旗旗旗苹茷旗鏆?h秈\$j薾h?(h?@UmHnHsH uh?(h?@h?h?(h?@mH sH  h?(h?@h?@h?(h?@CJaJh?(h?@5乛J h?@^Jh?(h?@^Jh"? h€d?h?@;}}&}.}0}=4(( $$Ifa$gd锽? $Ifgd锽??kd違$$IfT杔?謭?F??8z"????B?????????4? la?奣0}8}:}B}C}???1?kd盿$$IfT杔?謭?F??8z"????B?????????4? la?奣 $$Ifa$gd锽?C}K}V}^}h}o}y}?????? $$Ifa$gd锽? $Ifgd锽?y}z}倉媫搣=4(( $$Ifa$gd锽? $Ifgd锽??kd僢$$IfT杔?謭?F??8z"????B?????????4? la?奣搣潁瘆皚???1?kdUc$$IfT杔?謭?F??8z"????B?????????4? la?奣 $$Ifa$gd锽?皚竲羮蓕觹踼鍈?????? $$Ifa$gd锽? $Ifgd锽?鍈鎪題鱹}=4(( $$Ifa$gd锽? $Ifgd锽??kd'd$$IfT杔?謭?F??8z"????B?????????4? la?奣} ~ ~~~???1?kd鵧$$IfT杔?謭?F??8z"????B?????????4? la?奣 $$Ifa$gd锽?~~&~0~:~B~M~?????? $$Ifa$gd锽? $Ifgd锽?M~N~諂L=8-- $ & Fa$gd抇:gd?@?kd薳$$IfT杔?謭?F??8z"????B?????????4? la?奣鄝鈥:?;?D?R?Y????????? $$Ifa$gd锽?$a$gd?@gd?@$a$gd?@Y?Z?爜 ?總mddd $Ifgd锽??kd漟$$IfT杔?諪? ?,"??? t???6??????4?4? la?奣總纻 ?;?們mddd $Ifgd锽??kd-g$$IfT杔?諪? ?,"??? t???6??????4?4? la?奣們儍虄蛢蝺mddd $Ifgd锽??kd絞$$IfT杔?諪? ?,"??? t???6??????4?4? la?奣蝺蟽麅鼉齼mddd $Ifgd锽??kdMh$$IfT杔?諪? ?,"??? t???6??????4?4? la?奣齼???M?N?搫mhh```XX`$a$gd?@$a$gd?@gd?@?kd輍$$IfT杔?諪? ?,"??? t???6??????4?4? la?奣 矂簞聞藙詣輨鎰??????? $$Ifa$gd锽?鎰鐒?' $$Ifa$gd锽??kdmi$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣?? ????%??????? $$Ifa$gd锽? $$Ifa$gd锽?%?&?B?' $$Ifa$gd锽??kdRj$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣B?H?N?T?Z?`?f??????? $$Ifa$gd锽? $$Ifa$gd锽?f?g?~?' $$Ifa$gd锽??kd7k$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣~?厖媴憛梾潊?????? $$Ifa$gd锽? $$Ifa$gd锽?穮' $$Ifa$gd锽??kdl$$IfT杔4?譃恸?u ?]???stttt?????????4? la?N鹒4奣穮箙緟脜葏蛥覅?????? 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