Implications of Ingredient Availability Opportunities for Vegetable Protein Meals

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Implications of Ingredient Availability Opportunities for Vegetable Protein Meals John Spragg JCS Solutions

FEED MANUFACTURE Grain Veg. Protein Meals Pig Poultry Animal Proteins Fats/Oils Vitamins Minerals Feed Mills Beef Dairy Sheep Processor Wholesaler Additives Retailer Consumer

NUTRITION MEETING ANIMAL NUTRIENT REQUIREMENTS FOR DEFINED PERFORMANCE CRITERIA

STOCKFEED INDUSTRY BALANCES CUSTOMER (LIVESTOCK PRODUCER) EXPECTATIONS VERSUS COMMERCIAL REALITY SUPPLY CHAIN ROLE

Estimated meal usage in 2004 (data from ARA and AOF) Meal Type Animal Protein Meals Soybean Meal (domestic + imported) Canola (75% Sol, 20% Exp, 5% Cold) Sunflower Cotton (plus 140 kt whole seed) Copra 000 Tonnes 373 350 225 24 130 22 1124 % 33.2% 31.1% 20.0% 2.1% 11.6% 2.0% Plus pulses peas, lupins,, beans

Estimated meal usage Livestock Sector Feed tonnes Veg. protein usage - tonnes Use rate - % Pigs 1,698,000 233,000 13.7% Poultry 2,730,000 340,600 12.5% Dairy 3,010,000 150,000 5.0% Feedlots 2,720,000 135,000 5.0% Other 450,000 33,700 7.5% Total 10,608,000 892,300 8.4% JCS Solutions estimates

FACTORS INFLUENCING PROTEIN MEAL CURRENT USAGE INGREDIENT AVAILABILITY PRICE CONSISTENCY PROTEIN QUALITY FEED INDUSTRY CAPACITY TO RAPIDLY SWITCH RAW MATERIAL USE

High Animal Typical No Animal Protein Protein INGREDIENTS Barley % 56.5 % 41.1 % 17.8 PIG GROWER FEED Wheat 22.3 25.6 39.3 Protein (%) 20.1 Peas 0 10 20 DE (MJ/kg) 13.5 Canola Meal 0 8 10 Fat (%) 3.9 Soybean Meal 4.4 6.1 8.5 Calcium (%) Min 0.9 Meat Meal 9.3 6.4 0 Phos. (%) Min.65 Fish Meal 4 0 0 Sodium (%) 0.17 Blood Meal 2 1 0 Lysine (%) 1.17 Tallow 1 1 1 M+C (%) 0.7 Limestone 0 0 1.2 Threonine (%) 0.74 DCP 0 0 1.3 Salt 0.01 0.25 0.36 Methionine 0.01 0.03 0.04 Lysine 0.18 0.23 0.25 Threonine 0.04 0.04 0.05 Premix + + +

Computer formulations Breakpoints defining use or non use prices Parametrics defining how much to use at differing prices Value for each raw material relative to others Varies for each feed type and specification ================================================== JCS Solutions ons (3601) ================================================== : : : AUSIMIX (RUN) FEED MILL MASTER {4} JULY 2005 OPTIMIZATION RESULTS 15:16 02/08/05 0014 : : 01-April April-2002/216.2 ( 1) Plant=0088 John : ================================================================================================================================ -------------------------------------------------------------------------------------------------------------------------------- : SP: 60002 PIG GROWER FEED 100.0 %, 1000.0 Kg (Recost( Recost: : 325.61 ) Optimal cost: 288.96 : -------------------------------------------------------------------------------------------------------------------------------- INCLUDED RAW MATERIALS % Kg Cost Lim Minimum Maximum Lower Cost New % Upper Cost New % ----------------------------------- --------- -------- ---------- --- --------- --------- ---------- -------- ---------- -------- 10200 BARLEY 11.0 56.4781 564.781 200.0. 80.0 176.945 61.8421 225.149 56.3587 14200 WHEAT 13.0 22.3187 223.187 210.0. 90.0 180.367 22.42 232.075 1.5651 28450 PEAS-FIELD 22.0 0.0001 0.001 230.0 MAX. 0.0001.. 248.589 0.0 36220 CANOLA MEAL 36.0 0.0001 0.001 280.0 MAX. 0.0001.. 447.559 0.0 37840 SOYBEAN MEAL 48.0 4.3888 43.888 650.0 0.0 99.0 450.709 5.0093 764.628 4.3283 40050 BLOOD MEAL 85.0 2.0 20.0 600.0 MAX. 2.0.. 1177.189 1.2377 40700 MEAT MEAL 50.0 9.3083 93.083 320.0 0.0 10.0-2298.184 9.3083 349.454 5.1097 41190 FISH MEAL 60 4.0 40.0 820.0 min 4.0 5.0 723.028 4.0715..

Protein meal use trends Reducing inclusion meat meal consistency in quality, salmonella, forward supply variability Reduced recycling poultry meals back to poultry Increased use of synthetic amino acids lower price, Chinese influence Poor harvest supplies and competing demand - peas, lupins

FACTORS FAVOURING VEGETABLE MEALS 1. BSE Bovine spongiform encephalopathy

Australian BSE Control Programme TSE FAP Quarantine AQIS stop entry Livestock, stockfeed, meat Surveillance Sampling & Testing suspect cattle and sheep NTSESP Tracking live cattle imported and zoo animals Feed Ban RAM (Restricted Animal Material) in ruminant feeds Site audits -renderers, mills, end user farms, retailers Sampling and Testing

Ruminant Feed Ban Issues Feed mills must ensure no cross transference RAM into ruminant feeds Mills not designed to be contamination free Expectations of zero tolerance Assays to identify small quantities Compliance pressure being applied to feed manufacturers

Potential Australian Scenarios 1. Ban MBM use Eliminates the BSE risk = EU ban on feeding animal proteins to livestock 2,500,000 tonnes of wet material processed by renderers Value of rendered animal protein $500M annually, approx 50% exported, loss of foreign income. Environmental disposal problem NOT A LIKELY OUTCOME WHILST WE DO NOT HAVE BSE

Potential Australian Scenarios 2.Feed Industry Dedicated Feed Mills Capital cost $180M to replace lost capacity 60 mixed species mills Increased manuf. cost $14-22M/annum - lost efficiency Increased feed delivery costs $4-11M/annum - dedicated delivery vehicles. Not likely that dedicated feed milling will be forced on industry through regulation INDIRECT RESULT OF INCREASING FEED SAMPING AND TESTING

US FDA Feed Ban Rules Oct 2005 Removal of specific risk materials from the animal feed chain Cattle > 30 months Through the removal of SRM s from meat meal, this reduces the risk of cross contamination and need to have dedicated feed mills. Identifies the critical control point before the point of rendering further up the supply pyramid

Potential Australian Scenarios 3. Feed mill options 1. Sequencing and flushing slows production and increases manufacturing costs, not 100% guaranteed. 2. Cease the manufacture of either monogastric or ruminant loss of business. 3. Upgrade site to segregate production lines capital cost 4. RAM free in all feeds increased raw material cost We are seeing a combination of responses Resulting pressure on meat meal, blood meal, poultry meal, fish meal use

FACTORS FAVOURING VEGETABLE MEALS 2. NON GM FEEDS The GM food standard requires that the food must be labelled if there is altered DNA or protein in the final product - FSANZ Consequently dairy, meat and eggs from animals fed GM feed are not required to be labelled as GM within Australia GM use in animal feeding is: Export trade issue Not a regulatory domestic labelling issue Not a food safety issue

NON GM FEEDS Chicken Meat 3 Major broiler companies Use best endeavours to source non-gm ingredients for poultry feeds meet quality standards available in substantial quantities economically sustainable The use of GM Soya in feed does not compromise the absolute GM-free status of the poultry products the company produces. Animals that eat feed with a component of GM Soya are no different to other animals that may have been fed a low GM or GM-free diet Ingham s GM Policy Statement

Commitment to non GM raw materials significance Responded to calls from activists Ability to access South American soybean meal, lower cost than US GM soybean meal Vegetable meals, animal meals and pulses all non GM Favours use of non GM Australian vegetable protein meal sources

Non GM and other livestock industries Dairy governed by milk processors and meeting export market demands Varies from nil to no limit Feedlot - dependent upon beef export destination Pig - little attention, large use of soybean meal, low level meat exports

FACTORS FAVOURING VEGETABLE MEALS 3. CORPORATE FARMING Decline in smaller scale home-mixing bagged meal sources Contract feed supply Larger feed mills Capacity to utilise bulk materials Forward contract supply Livestock performance consistency FAVOURS VEGETABLE PROTEIN MEAL USE

FACTORS FAVOURING VEGETABLE MEALS 4. LIVESTOCK PRODUCTION EXPANSION Livestock Sector Pigs Poultry Dairy Feedlots Other Total JCS Solutions estimates 2005 1,698,000 2,730,000 3,010,000 2,720,000 450,000 10,608,000 Feed Tonnes 2010 1,785,000 3,059,000 3,310,000 2,886,000 495,000 11,535,000 2020 2,052,000 3,976,700 3,972,000 3,319,000 594,000 13,913,700

5. Biofuels impact upon vegetable meals Ethanol from feed grains -VE IMPACT Supply of by-products Wet distillers grains Dried distillers grains 30% protein Tallow and cooking oils use reduce lower cost energy source Canola oil increased canola meal supply

Implications of Ingredient Availability Factors Favouring Vegetable Meals Livestock Sector Pigs Poultry Dairy Feedlots Other Total 2005 233,000 340,600 150,000 135,000 33,700 892,300 Vegetable Protein Meal Demand 2010 2020 306,600 353,300 412,000 526,500 186,500 222,900 147,200 169,700 38,600 46,250 1,090,900 1,318,650 INCREASED DEMAND + 22.3% + 47.8% Alternative supply US/S. Amer. soybean meal, animal proteins and/or pulses