On farm research, development and adoption at MLA to 2020 On farm - PowerPoint PPT Presentation

On farm research, development and adoption at MLA to 2020 On farm research, development and adoption at MLA to 2020 Nick Sangster Program Manager Grassfed Productivity

Australia vs global cattle prices

National cattle herd Source: ABS, MLA estimates

Australian live cattle exports 1 million head Source: ABS, MLA estimates

Beef export markets - 2015 EU/Russia Korea $299m China 24,593 $1.2bn North America 166,588 $1.0bn Japan 148,222 $3.44bn $1.86bn 459,218 285,224 Indonesia MENA $241m SE Asia $437m 39,134 $370m 54,838 57,136 Global $9.4bn 1.29m Amounts shown in $A (estimated based on 11 months data). Weight in shipped tonnes (full year data).

Australia vs global cattle prices

Topics • MLA focus and MISP 2020 • Funding streams • Annual call process and consultation • Research profile on farm • Adoption • Future beef farms • Discussion, questions

About MLA • Meat and Livestock Australia Ltd (MLA) strives to be the recognised leader in delivering world class research, development and marketing outcomes that benefit Australian cattle, sheep and goat producers. • Working in collaboration with the Australian Government and wider red meat industry, MLA's mission is to deliver value to levy payers by investing in initiatives that contribute to producer profitability, sustainability and global competitiveness . • MLA is a producer owned, not-for- profit organisation and not an industry representative body.

Industry structure

Value to levy payers – R&D

 2020 Plan

1. Consumer and Community Support 1.1 1.2 1.3 1.4 1.5 1.6 Continuous Minimising Minimising Minimising Sustainable Adapting to improvement risk and the impact industry management climate of animal impact of of endemic impact on the of the variability welfare emergency disease environment natural disease resource base

4. Productivity and Profitability 4.1.1 Novel and cost-effective solutions identified to significantly raise and 4.1 Decision measure (a) business skills and (b) capacity to innovate by 2020 support to 4.1.2 Significant increase in (a) business skills and (b) capacity to improve profitably apply R&D to farming operations by 2030 farming businesses 4.2.1 Minimum, whole-of-sector increases in productivity growth above baseline levels: Northern beef production sector: 0.5% by 2020 and 2.5% by 2030 4.2.2 Minimum, whole-of-sector increases in productivity growth above baseline levels: Southern beef production sector: 1.75% by 2020 and 7% by 4.2 Increasing 2030 livestock 4.2.3 Minimum, whole-of-sector increases in productivity growth above baseline productivity levels: Sheepmeat production sector: 1.5% by 2020 and 5% by 2030 through new research 4.2.4 Minimum, whole-of-sector increases in productivity growth above baseline levels: Feedlot production sector: 1% by 2020 and 2% by 2030 4.2.5 Minimum, whole-of-sector increases in productivity growth above baseline levels: Goat production sector: 0.5% by 2020 and 2.5% by 2030

 Funding landscape • Annual call • Strategic partnerships • Levies (declining in Genetics real terms) Welfare • MLA Donor Company • Rural R&D for Profit • CRCs • Leverage opportunities

Cattle levy allocation GRASSFED GRAINFED

Grassfed cattle investment 2014-15 Levies + Govt AMPC MDC Contributions 2017 ($M) projected 55 14 60 ~40

 Producer Consultation Strategy

2017/18 MLA annual 185 project call Preliminary proposals 169 Mid Jan – mid Feb 2016 Producer Panel Red Meat Panel review Mid Dec 2015 Early Mar 2016 99 Annual 2017/18 NABRC, 2017/18 MLA annual project SAMRC and call call cycle WALRC RD&A Invite full proposals priorities Mid-Mar – mid-Apr 2016 for levy- Early Sep 2015 funded 34 MLA research implementation Expert Panel Aug 2016 Early May 2016 Producer Panel 18 Red Meat Panel 21 review Mid Jun 2016 Late May 2016 19

Priorities (Beef examples) Feedbase, pasture growth, legumes, adoption S1, W1, N3, N8 Business Management, decision support N1, W2, N4, S4, S8, W10 Disease control and biosecurity N2, S5, N6, W7 Animal Welfare, eg mortality, pain relief, S5, W7, N6, N7 community engagement Skill development S8, N10 Supply chain enhancements S3, W6 Livestock productivity N5 (genetics), N9, N11, N12 Labour costs W4, S6

The door is open for Regional C’ttees ! • Get informed • Align with MISP 2020 impacts • Invite speakers, ask advice, come to forums • Embrace electronic communication • Promote priorities with your Chair • Identify goals and provide arguments • The region’s priorities need to be championed

 Research and Development • Feedbase • Methane mitigation • Productivity • Health and Welfare • Climate prediction and spatial analysis

Wee eed d man manage gemen ment • Fast tracking biological control - $2.8m national project (Federal government + MLA + regional partner cash) – leverage of MLA’s $400k investment • Blackberry; Gorse; Silverleaf nightshade; Cactus; Parkinsonia, Parthenium • Improving BMP strategies (Silverleaf nightshade) via the Graham Centre • Low cost weed strategies (for herbicide resistance - with GRDC & CSU/ NSW DPI) - weed suppressive crops / pastures /silage Source Hanwen Wu NSW DPI

Pes est t an animals imals RABBITS • ‘RHD Boost’ – finding & release of a new calicivirus • “RHD Accelerator” – culturing virulent RHD viruses WILD DOGS – tactical and strategic approach • A new toxin – seeking registration • Limiting the wild dog source – impacts PIGS – Sodium Nitrite toxin – APVMA submission 2016 AGILE Wallaby – devising a management program in the NT Practices and institutional arrangements for effective control

Participatory R&D projects 30 groups across Australia who are: • Innovative, information seeking producers - participating in research • Testing - if and how new research fits within farm systems • Working with MLA to speed up the development and adoption of research • Adding value to the existing research (labour efficiency, workload….) • Inform future research

What participatory producer groups are doing Virtual group - all Victoria

Annua Ann ual l le legu gumes mes In collaboration with Murdoch Uni, DAFWA & CSU, NSW DPI • Evaluating new legumes: o Establishment / sowing – using hardseeds to advantage; delaying germination o Grazing & animal production • Serradella / Biserrula / clovers

Mitigation opportunities = production efficiencies 33

Asparagopsis algae fed to sheep 20 Methane (g/kg DM intake) Control 15 10 5 0 30 51 72 Time (days)

Improving market compliance for pasture-fed beef (Rural R&D4P) • BeefSpecs optimisation tool • Aim: objective measure of live animal to predict growth path and carcase including MSA • Complemented with 3D imaging and adaptation for Northern herds • Future drafting tool

MSA & revised long distance transport

MLA co-funds long-term prediction models for livestock industries, updated monthly. Expect to deliver a 15% improvement on seasonal forecasting accuracy with a 20 fold increased spatial resolution. Producers can now use this information to help make longer- term decisions and the accuracy of the information is improving. http://www.bom.gov. au/climate/outlooks

NRM Spatial Hub

• MSA Beef Compliance at 93% across 3.2m cattle - Farm gate returns of $260m last year National MSA beef grading numbers 3500000 3000000 Within the last 4 33c/kg years 2500000 29c + 50% increase in 2000000 28c numbers 19c + 58% increase in 1500000 premiums 1000000 = Double the value 500000 to producers 0

Adoption • Challenges • Steps • Farms of 2030

Challenges with adoption • Low perceptions of need for change • Lack of awareness • Lack of time to properly evaluate • Poor perceptions about cost/benefit • User pays model is inevitable • Lack of real-world peer examples • Lack of infrastructure/finance/labour Time from idea to research outcome to adoption!

Adoption steps Practice Awareness FEEDER PGS *EDGE change Theory Practice BeefUps Work shops Business* $ Whole  www.MLA Apps/ on line Nutrition* farm management  FeedBack Webinars Breeding* RBRCs Farm innovation Forums network

• Satellite maps linked to animal remote sensing virtual fencing and weather forecasts • Objective measures available for optimising market specifications, backgrounding • Value-based pricing built into data systems • Tropical legumes impacting 40% of properties • Compliance of welfare standards (lower mortality, polled stock, chemical spaying) • Genomic trait data provided at bull purchase • Freedom from exotic disease maintained FarmS of 2030