AHDB Agronomy 2019
East Anglia
7th February 2019, Ravenwood Hall
AHDB Agronomy 2019 East Anglia 7 th February 2019, Ravenwood Hall - - PowerPoint PPT Presentation
AHDB Agronomy 2019 East Anglia 7 th February 2019, Ravenwood Hall Agenda 09:45 Chairs welcome and AHDB Update Teresa Meadows Agronomy of the future? Nitrogen-fixing Professor Edward Cocking, 10:00 bacteria use in wheat University of
7th February 2019, Ravenwood Hall
09:45 Chair’s welcome and AHDB Update Teresa Meadows 10:00 Agronomy of the future? Nitrogen-fixing bacteria use in wheat Professor Edward Cocking, University of Nottingham 10:50 Lessons learnt from YEN to-date Roger Sylvester-Bradley, ADAS 11:15 Refreshment break 11:30 Disease management in 2019 Stuart Knight, NIAB TAG 12:00 ASSIST programme Ben Woodcock, CEH 12:20 Arable research round-up Sajjad Awan, AHDB Charlotte Rowley, AHDB 12:40 Arable research priorities Group Discussion 12:50 Monitor Farmer’s closing comments David Hurst and Tom Mead, Duxford Monitor Farm 13:00 Lunch and event close
Teresa Meadows, Knowledge Exchange Manager, AHDB
Recommended List Review IPM Strategy Knowing your cost of production Business planning and decision making tools for post-Brexit era
Grower 52% Agronomist 19% Grain Trade 3% Breeder 8% Maltster 0% Miller 2% Other grain processor 1% Researcher 7% Seed specialist/merchant 8% Other (please specify) 0%
In total 623 responses
0% 20% 40% 60% 80% 100%
Advert/publications from breeders (n=372) Subscription service (n=361) Seed merchant (n=371) Other publications (n=359) Advice from a Distributor/merchant agronomist (n=370) AHDB Monitor Farm (n=364) I have grown the same varieties before (n=385) End users (n=368) Discussions with other growers (n=368) Seed availability (n=376) Advice from an Independent agronomist (n=376) AHDB Recommended Lists (n=383) My own experience (n=378)
Not important Important
agronomists
Grower & Agronomist response Other stakeholder response
0% 20% 40% 60% 80% 100%
Breeder (n=383) Availability of contract (n=376) Specific trait (n=370) Availability of seed (n=382) Regional performance (n=389) Yield/Gross Output (treated) (n=391) Yield/Gross Output (untreated) (n=377) End use quality (n=388) End user demand (n=385) Good agronomics (n=382) Economics (n=386) Disease resistance (n=392) Crucial Very important Somewhat important Not important
0% 20% 40% 60% 80% 100%
Breeder (n=111) Specific trait (n=110) Availability of contract (n=113) Availability of seed (n=114) Yield/Gross Output (untreated) (n=111) Economics (n=113) Regional performance (n=113) End use quality (n=113) End user demand (n=114) Good agronomics (n=114) Disease resistance (n=114) Yield/Gross Output (treated) (n=115)
Crucial Very important Somewhat important Not important
What new information would you like to see in the Recommended Lists?
0% 20% 40% 60% 80% 100%
Something else e.g. more agronomic information (please specify) Fewer varieties More varieties More regional information Economic potential
economic information
n=484
What new information would you like to see in the Recommended Lists?
alternatives
Provides information on the date when 10% of oilseed rape plants are expected to show symptoms of phoma leaf spot, generally regarded as the treatment threshold
Shows the proportion of the oilseed rape crop (disease resistance rating of 5) estimated to have more than 25% of plants affected by LLS in the spring for the current season
Weekly reports on forecasted sclerotinia infection risk, during the main risk period
Sign up to alerts: comms@ahdb.org.uk
cereals.ahdb.org.uk/monitoring
Weekly regional report on fusarium infection risk which may help complete mycotoxin risk assessment
The tool can be used to help you calculate when cereal crops are at the greatest risk of infection
Provides regional information on aphid numbers at key times of the year
The survey can aid decision-making on whether a seed treatment is justified Sign up to alerts: comms@ahdb.org.uk
cereals.ahdb.org.uk/monitoring
The seed rate conversion tool to allows you to calculate the kg/ha of seed you require based on your planned seed rate/m2 and the thousand grain weight
This tool to can be used to convert gallons/acre to litres/ha and vice versa
This conversion tool converts tons/acre, tonnes/acre and tonnes/ha and vice versa
This spray tool can convert gallons/acre to litres/ha and vice versa
This calculator allows you to calculate the cost of farm machinery per hectare or per hour. It can illustrate the savings or cost of owning your own equipment, hiring
This tool has been designed to guide propyzamide planning
Visit: cereals.ahdb.org.uk/tools
Provide evidence-base to farmers to make better informed decisions regarding current and future crop and soil management
We publish information on excess winter rainfall (EWR) to help you estimate potential losses of nitrate through leaching.
Sign up to alerts: comms@ahdb.org.uk
cereals.ahdb.org.uk/monitoring
The Nutrient Management Guide (RB209) provides guidelines for crop nutrient requirements and the nutrient content of organic materials
New publications
All publications can be accessed at cereals.ahdb.org.uk/publications Hard copies can be ordered by emailing: comms@ahdb.org.uk
Farmbench and benchmarking
Visit:
ahdb.org.uk/farmbench
What was your cost of production for harvest 2018? Log on and find out. Join us to discuss.
Monitor Farms – Farmer Led, Farmer Driven
technical and personal development.
year over 3 years, plus closed benchmarking sessions.
Strategic Farms - Putting research into practice
productivity through the formal testing and demonstrating of innovative practices on a field or farm scale.
innovation.
group visits.
Simon Brock Dereham Monitor Farmer Christy and Hew Willett Chelmsford Monitor Farmers Brian Barker Strategic Farm East Tom Mead and David Hurst Duxford Monitor Farmers
Open Day – 6th June 2019
Demonstrations:
Crop assessments Baselining
NITROGEN-FIXING CEREALS
PROFESSOR EDWARD COCKING CENTRE FOR CROP NITROGEN FIXATION SCHOOL OF BIOSCIENCES, UNIVERSITY OF NOTTINGHAM, NOTTINGHAM UK
Despite fixed nitrogen being the key to crop yields, the on- going unsustainable pollution of the environment from the use of synthetic nitrogen fertilizers is currently highlighting the need to minimise their use in agriculture, and to replace them by biological nitrogen fixation
07/02/2019 28
A KEY NEED FOR THE EVERGREEN REVOLUTION
BIOLOGICAL NITROGEN FIXATION (BNF)
ammonia (NH₃) is called nitrogen fixation, and in biology is restricted to a select group of bacteria .
temperature and pressure by a complex, extremely oxygen-sensitive metallo-enzyme, called nitrogenase.
07/02/2019 29
The Pathway of Symbiotic Nitrogen Fixation in Soybean Root Nodules
2/7/2019 Event Name and Venue 31
BACTERIAL PLANT SYMBIOTIC NITROGEN FIXATION
energy from plant photosynthesis.
rhizobia and on shrubs and trees by frankia.
(Gunneraceae) invaded intracellularly by nostoc cyanobacteria.
vesicles containing nitrogen-fixing bacteria within the cytoplasm of plant cells.
2/7/2019 Event Name and Venue 33
2/7/2019 Event Name and Venue 34
BORLAUG’S DREAM
“In my dream I see green, vigorous, high-yielding fields of wheat, rice, maize, sorghum and millet which are obtaining, free of expense, 100 kilogram of nitrogen per hectare from nodule-forming, nitrogen-fixing bacteria … This scientific discovery has revolutionized agricultural production for the hundreds of millions of humble farmers throughout the world, for they now receive much of the needed fertilizer for their crops directly from these little wondrous microbes that are taking nitrogen from the air and fixing it without cost in the roots of cereals, from which it is transformed into grain … “
The Green Revolution: Peace and Humanity Norman E Borlaug 1970 Nobel Peace Prize
Ability to colonise any crop plant – has a simple
natural route of entry
Ability to colonise each cell of the plant forming a
symbiotic relationship with the plant-
Ability to move throughout the plant - not restricted
to just the roots
Ability to fix-nitrogen under a range of conditions –
including different fertiliser regimes
Have additional plant growth benefits Harmless to mankind, animals and environment
35
If nitrogen-fixing bacteria (blue dots) penetrate through the cell wall (shaded) they can become internalized in vesicles by endocytosis.
Thursday, February 7, 2019 Event Name and Venue 37
Creating new strains of rice, wheat and corn that fix their
what the Haber-Bosch breakthrough managed for the twentieth, and without the serious environmental drawbacks of industrial ammonia production. Environmentalists should not be scared of this prospect; they should welcome it. There can be no more important task than feeding people whilst protecting the
to help us to achieve this vital aim. The God Species Mark Lynas (2011) How the Planet can Survive the Age of Humans THE NITROGEN BOUNDARY
Professor Johanna Döbereiner discoverer of Gluconacetobacter diazotrophicus.
2/7/2019 Event Name and Venue 39
Gluconacetobacter diazotrophicus
producing bacterium isolated from sugar cane juice (Döbereìner, 1988). It is non-nodulating.
inhibited by nitrate. Ammonium shows only partial
potentially available to plants.
encoding a ß-expansin and an endo-1, 4-ß-glucanase.
a mucoid levan fructan is an effective resistance to oxygen diffusion.
2/7/2019 Event Name and Venue 40
MICROSCOPIC INVESTIGATIONS OF THE INTERACTION OF G. diazotrophicus (Gd) WITH CEREALS AND OTHER NON-LECUME CROPS
media.
labelled Gd enabled histochemical localisation of blue- staining Gd.
inoculated roots, stems and leaves showed blue-staining intracellular Gd in the cytoplasm, and systemic colonization.
cytoplasm were within membrane-bounded vesicles.
rape and tomato.
nitrogen fertilizers are in progress.
stained G. diazotrophicus (Bar 10 µm).
Section of maize leaf showing blue-stained
2/7/2019 Event Name and Venue 43
THE FORMATION OF DIAZOCHLOROPLASTS
Very close association of chloroplasts with nitrogen-fixing bacteria in leaf cells could result in their fusion to form a “diazochloroplast”. This close association could increase photosynthetic efficiency, by decreasing photorespiration, with resulting increase in crop yields.
2/7/2019 Event Name and Venue 44
Manchester collaboration on the use of labelled 15N2 to demonstrate nitrogen fixation in Gd with the the NanoSIMS microscope.
fixng bacteria (blue) Enterococcus faecalis.
Direct evidence of Gd fixing nitrogen
Gd-Nitrogen fixation in maize leaves using NanoSIMS microscopy
University of Manchester University of Nottingham AzoticTechnologies Ltd
15N2 is present at elevated levels in maize
leaves. red = high levels of labelled 15N2, yellow = medium levels and green = lowest levels.
45
Rice
Section of rice root showing intracellular colonies of blue-stained
Tomato
Section of tomato root showing blue-stained
Efficacy of Intracellular Colonisation - Validation
Staple food crops: Wheat, maize and rice Forage crops: Pasture grass and white clover Horticultural crops: Tomato and potato Oilseeds: Oil seed rape (Oil Palm, 2015) Commodity crops: Tea, cotton and coffee Ornamental and amenity: Turf grass
Every crop species evaluated with N-Fix Successfully colonised by Gd!
Example: Independent Field Trials Results Research undertaken by Contract Research Organisations
Example: Independent Field Trials Results Research undertaken by Contract Research Organisations
52
Initial Rice Field Trials – Vietnam 2017
52In the first trial yields at all levels of Nitrogen fertiliser were 30% higher, than untreated controls. In Trial 2 the yield increase was 9-15%
53
Grain protein improvements
53Summarizing across all the 2016 UK (10), US (3) and Canada (2) field trials, N-Fix increase grain protein at all N fertiliser levels tested by 4%.
Implications of Yield and Fertiliser Benefits? Moving from a nitrogen pollution reduction and maintenance of yields to improved food security and nitrogen pollution reduction with enhanced yield performance!
nitrogen vulnerable zones across the world
costs and pollution in commercial agriculture
conventional N fertilisers are unavailable or inaccessible
2/7/2019 Event Name and Venue 55
2/7/2019 Event Name and Venue 56
HABER LOOKS TO THE FUTURE
“It may be that this solution (the chemical synthesis of ammonia) is not the final one. Nitrogen bacteria teach us that nature, with her sophisticated forms of the chemistry of living matter, still understands and utilises methods which we do not as yet know how to imitate.”
Synthesis of Ammonia Fritz Haber 1920 Nobel Prize for Chemistry
57
Symbiotic Nitrogen fixation with N-Fix
57… evidence from Yield Enhancement Network, 2013-2018
Analysis by: Roger Sylvester-Bradley Funded by:
Zone
Normal field trial 0.1-0.5 ha
Solar energy 47% Energy Capture 9.5 t/ha Grain Biomass Root growth
2 20 Biomass t/ha 10 metres 1
Straw & Chaff Biomass 9.5 t/ha
= 11 t/ha Grain Yield
@15% moisture
Soil texture and depth dictate Soil Water Holding Capacity (e.g. 150mm / m for a medium soil type) April - July Rainfall e.g. 200mm 1,000 2,000 3,000
150mm Soil Water Capture
plus summer rain = 350mm total water capture Biomass growth
Metrics & benchmarks that explain yield …
YEN N Repo ports rts
YEN entries: 2013, 2014, 2015, 2016, 2017, & 2018
■ ~570 yields ■ From >250 farms ■ Almost all Winter Wheat ■ Each farms’ best crop(s)
─ or Field Zone(s): all 2+ hectares ─ Usually selected after emergence
■ Average yield = 10.8 t/ha
─ Range 5.0 to 16.5 t/ha
■ Multi-variate data analysis
─ gives Associations, NOT Effects ─ NB Associations are not Causes.
■ 15 t/ha is possible ... almost anywhere ■
It’s less about what you spend, more about …
‘Attention to Detail’ ■ Large yields come from large crops
─ With more ears than average … and tending to be taller, with greater straw N% ─ So important associations include good nutrition, and control of disease & lodging risks ─ Husbandry factors associated with high yields included: … following a break crop … narrow row widths … applying slurry … adequate N use … but liquid N (straight) was questionable … and several PGR applications.
< 21 < 20 < 19 < 18 < 23 < 22 < 20
Location, Site & Season:
Long Term Average Potential Grain Yields
Deep, medium soil
■ Large yield gaps are everywhere! ■ and High yields are widespread ■ ‘Year’ caused only ~25% of variation
─ Cool summers best and … ─ Dry, bright autumns-winters, & bright springs ─ Summer rain only important in 2018
■ 75% variation associated with farm, husbandry, etc.
Soil factors:
■ Water-retentive soils yielded more
Sands < Medium < Shallow (not over chalk) < Clay < Silty < Shallow over chalk
■ Yields larger with slurry applied (+0.9 t/ha, ±0.53)
…but no positive association with compost or biosolids
■ Lower yields after cover crops?
… (52 cover crops declared)
■ Soil nutrients and organic matter not significant
─ Positive yield association with soil pH (+0.3 t/ha/unit, ±0.14)
Species & Variety:
■ Wheat yielded more than other cereal species ■ Variety (& nabim Group) explained grain protein variation ─ but not grain yield ■ Site, weather and husbandry factors had more influence on yield than variety choice.
Previous cropping, and sowing:
■ Yields best after break crops
─ & with straw incorporation (+0.3 t/ha, ±0.18) ─ No association with cultivations or grass history
■ Higher yields with closer drill rows
─ (-0.03 t/ha/cm row width ±0.015)
■ Possible associations with seed treatment
─ Needs further investigation
■ No yield association with
─ Historic use of manures or previous grassland ─ Date of sowing, seed rate or Cultivation strategy ─ Herbicide use.
Crop nutrition
■ N fertiliser rate positive (~6kg grain/kg N, ±2.0) ■ Liquid N associated with lower yields
─ Less so if S included … needs further investigation
■ Yields may be higher with 5 or 6 N splits ■ Some association with P Fertiliser
─ Was stronger before 2018 data included
■ Yield not related to K, S, or micronutrients ■ Some association with biostimulant use.
Crop protection
■ PGR use showed strong positive association with yield level
─ Needs further investigation
■ Fungicide use related to yield ■ No association between yield and insecticide or herbicide use.
Crop characteristics
■ Large yields tended to come from large crops
─ With high ear populations ─ With high biomass, and …
■ Large shoots with high straw N% also important
Maybe … a) As stores of redistributable reserves (e.g. sugars) b) In maintaining photosynthesis … especially towards the end of grain filling
NB: Large crops require careful management of
─ disease risks and ─ lodging risks.
YEN 2013-18 results: Conclusions
■ Database analysis can only show ‘associations’
─ not ‘cause & effect’ … it just highlights good questions
■ Nevertheless …Yield Enhancement is possible! Yield was more about the farm than about weather! ■ Pray for: dry, bright winters, bright springs & cool summers
(& no extreme drought)
■ But a ‘Farm Factor’ affected yields significantly
─ Soil type played a part, but also … Attention to Detail
■ Yield appears vital for both Profit & Sustainability
─ Because yields did NOT relate well to inputs.
Networking … to develop the confidence to do better than ‘best practice’ Testing Measuring
Competition & Benchmarking Ideas & Understanding Learning, Confidence & Progress
YENs would not exist without their sponsors
Cereal YEN sponsors Oilseed YEN sponsors
For further information contact: Daniel Kindred, Roger Sylvester-Bradley or Mark Ramsden at ADAS Boxworth Tel: 01954 268200; Email: yen@adas.co.uk
Stuart Knight, NIAB
Stuart Knight, NIAB
Outline
─ Septoria ─ Rusts ─ Head blight ─ Conclusions for 2019
Weather: 2018 vs 1981-2010 (East Anglia)
20 40 60 80 100 120 Sept Oct Nov Dec Jan Feb Mar Apr May June July Aug Sept Oct Nov Dec
Rainfall (mm) or % anomaly Rainfall (mm) % anomaly
2017 2018
2018 Anomaly Jan Feb Mar Apr May Jun July Aug Sept Oct Nov Dec Max temp (OC) +1.4
+1.2 +2.4 +2.0 +3.9 +0.9 +0.6 +1.2 +1.2 +2.2
Min temp (OC)
+1.1
+2.5 +0.8 +0.9 +1.5 +0.8
+0.1 +1.3 +2.2
Frosts (days)
+4.6 +2.6
Source: Met Office
Oakley 27 April 2015 Nr Kings Lynn
Disease development in 2018 limited to an extent by dry May / June So far this season, mild autumn and winter have been favourable for septoria On the 2019/20 Recommended List:
than 6.0 for septoria
between 6.0 and 6.9
KWS Extase (group 2, 8.1), KWS Firefly (group 3, 7.0) and LG Sundance (group 4S, 7.9)
Septoria
Fungicide Performance
Product Active(s) Bravo chlorothalonil Proline prothioconazole Bassoon epoxiconazole Caramba metconazole Folicur tebuconazole Soleil bromuconazole + tebuconazole Comet pyraclostrobin Unizeb Gold mancozeb Imtrex fluxapyroxad Vertisan penthiopyrad Ascra Xpro bixafen + fluopyram + prothioconazole Elatus Era solatenol + prothioconazole Librax fluxapyroxad + metconazole Keystone epoxiconazole + isopyrazam Priaxor fluxapyroxad + pyraclostrobin Products were not in all trials / years
Septoria protectant over-year 2016-18 (n=17)
Septoria curative over-year 2016-18 (n=9)
Septoria yield over-year 2016-18 (n=17)
Septoria: azole performance over time (protectant, full label dose)
10 20 30 40 50 60 70 80 90 100 2000 2003 2006 2009 2012 2015 2018 % Control Septoria prothioconazole epoxiconazole
Septoria: SDHI performance over time
2013 2014 2015 2016 2017 2018 Imtrex (top curve = best control achieved, middle = average, bottom = worst control) Vertisan (top curve = best control achieved, middle = average, bottom = worst control)
Septoria: early-season sensitivity monitoring
Rothamsted (updated 2018): azoles
epoxiconazole prothio-desthio
Septoria: early-season sensitivity monitoring
Rothamsted (updated 2018): SDHI
bixafen
Sdh mutations detected for the first time in 2017
1 2 3 4 5 6 7 8 9 10
Santiago* JB Diego Revelation* Santiago* JB Diego Revelation* Mid Sept sown Mid Oct sown
% Leaf area with S. tritici Untreated Low Medium High
Septoria: effects of sow date, variety & fungicide
Treatment T1 – GS32 T2 – GS39 Low CTL 1.0 CTL 1.0 Medium Brutus 1.5 + CTL 1.0 Brutus 2.25 + CTL 1.5 High Brutus 1.5 + CTL 1.0 + Imtrex 1.0 Brutus 2.25 + CTL 1.5 + Imtrex 1.5 All except untreated also received T0: CTL 1.0 and T3: Folicur
Mean of 10 sites, 2016 and 2017
Mean septoria levels on leaf 2 (T2 +3-4 weeks)
2 4 6 8 10 12 14 16 18 20 Santiago JB Diego Revelation Santiago JB Diego Revelation Early Late % septoria on leaf 2 or 3 Untreated Low Medium High
Septoria: effects of sow date, variety & fungicide
Mean of 4 sites, 2018
Sowing date P = 0.003 Sowing date x Variety P = 0.051 Variety P = 0.003 Sowing date x Fungicide P = 0.004 Fungicide P < 0.001 Variety x Fungicide P < 0.001 Mean septoria levels on leaf 2/3 (T2 +3-4 weeks)
Mid Sept sown Mid Oct sown
Oakley 27 April 2015 Nr Kings Lynn
Cold Feb/March and hot summer compressed yellow rust development in 2018 Mild autumn 2018 and few frosts had been favourable for rusts (until last 2 weeks of Jan) 2019/20 RL disease ratings:
Most susceptible: Crusoe, KWS Siskin, KWS Lili, LG Detroit, KWS Barrel, KWS Basset, KWS Jackal, LG Skyscraper, Shabras, KWS Crispin, Costello
for yellow rust. Most susceptible are: Skyfall, Zulu, Bennington, Leeds, Myriad, JB Diego https://cereals.ahdb.org.uk/ukcpvs
Yellow Rust and Brown Rust
Yellow rust over-year 2016-18 (n=3)
Brown rust
Head blight symptoms
Head blight DNA results 2018
Fusarium Microdochium
a ab bc c c a
0.0 0.5 1.0 1.5 2.0 2.5 3.0 Untreated1Untreated2 Folicur Proline Soleil Unizeb Gold DNA (pg/ng total DNA) T3 treatment
a ab abc bc bc c
0.0 0.2 0.4 0.6 0.8 1.0 Untreated1Untreated2 Folicur Proline Soleil Unizeb Gold DNA (pg/ng total DNA) T3 treatment
Caution: Data is from 1 trial/year
Septoria tritici
seed rate offer opportunities to reduce risk Rusts
Head Blight
Unizeb Gold was most effective on microdochium
Wheat: conclusions for 2019
Oakley 27 April 2015 Nr Kings Lynn
In 2018:
2019-20 RL disease ratings:
rhynchosporium (Belmont 6). Most 2-rows rated 5 or 6 (KWS Glacier 4, Surge 7)
rating of 5 or 6 except Concerto (4)
KWS Creswell and KWS Tower have ratings of 4
LG Flynn, Bazooka, Libra all rated 3 - 4 for mildew
Disease risk
Rhynchosporium over-year 2016-18 (n=9)
Net blotch over-year 2016-18 (n=4)
Barley: conclusions for 2019
Rhynchosporium
Net Blotch
mixtures more robust and giving higher yields
reasonable control. Kayak useful, with different mode of action Mildew: Proline, and mildewicides Talius and Cyflamid, continue to provide good control Ramularia: Occurrence of resistance to azoles, QoIs and SDHIs means that chlorothalonil is vital for control
Preliminary Light Leaf Spot Forecast 2018-19
Proportion of the oilseed rape crop (disease resistance rating of 5) estimated to have more than 25% of plants affected by LLS in the spring (issued October 2018) https://www.ahdb.org.uk/lightleafspot
Preliminary light leaf spot forecast for 2018-19 in Eastern Region is lowest since 2013-14
Light Leaf Spot Of the 26 winter OSR varieties on the 2019-20 RL, all have ratings
amongst the more resistant of the 7s
Sclerotinia
e.g. Filan, mixtures e.g. Skyway, Propulse, Symetra, Pictor
Oilseed Rape: conclusions for 2019
Paul Gosling, AHDB Jonathan Blake, ADAS Faye Ritchie, ADAS Neil Paveley, ADAS Fiona Burnett, SRUC Stephen Kildea, Teagasc Bart Fraaije, Rothamsted Research Simon Edwards, Harper-Adams University AHDB (Cereals & Oilseeds)
BASF
Acknowledgements
funded by
Photo – Lucy Hulmes
www.assist.ceh.ac.uk
Aim: to develop and test innovative farming systems that increase food production & resilience to future perturbations, while reducing the environmental footprint of agriculture
unites expertise from NERC and BBSRC institutes, with integral support from the farming industry
new sensor networks to undertake hypothesis- driven experimentation
& opportunities for complementary research programmes & Horizon topics
Aims & key outcomes
* National Capability enables the UK to deliver world-leading environmental science, support national strategic needs and respond to
Photo – Marek Nowakowski
landscape
farm field
WP4: Synthesis modelling: Optimisation of future agriculture WP3: Sustainable solutions: farm platform WP2: Environmental impacts of agriculture WP1: Limitations on crop productivity
External data: Agrimetrics, SIP, SARISA etc. Model validation
Implementation
Refinement of management solutions WP5: Agri-informatics & tools 20% additional NERC funding Project co-ordination
Programme Structure
WP1 limitations on crop productivity
Data collection & analysis Detailed infield measures National surveys
The Yield Gap
Image credit: Wikipedia Commons
Bespoke AGRIMETRICS app to gather yield data
resilience
Network – real-time precision yield data from 2800+ fields
Tier 1: Point measurements of yield to investigate drivers
In-field yield patterns
2
3000 fields
Tier 2: Average yield per field to investigate drivers of broader scale variation and resilience
Soils Climate Pollinators Pests etc…
1300 FBS farms across UK
(10+)
scale datasets of biophysical variables
yield)
1
2008-2017 1500
WP2 Environmental impacts of future agriculture
management on water quality and nutrient loss (extending the LTLS model: Long-term/Large-scale interactions of C, N and P in land, freshwater and atmosphere)
agro-ecosystems through modelling species and ecosystem functions (pollination & pest control)
High FD Low FD
National distribution of functional diversity of native crop pollinators. Note potential deficits in areas of important crop production P (Tonnes) Predicted P fluxes from the LTLS model resulting from arable and improved grassland land use
Simulated P fluxes from the LTLS model
How do inorganic and organic fertilisers affect GHG emissions from crops?
Photo – Lucy Hulmes
Skyline experiment AHDB Monitor Farm Nov 2018
1. Provide information / support to beekeepers 2. eDNA approaches to assess what which flowers bees are feeding on 3. Identify threats impacts of environmental change on honeybees. 4. Detect sub-clinical bee diseases (future goal) 5. Link these pressures to performance of honeybee populations (size, mortality, production, health etc.) 6. A national time series of samples for future research
Next generation sequencing- millions pollen DNA reads/run
health, pollination and pest control
habitats.
mixed farming and manure / reliance
machinery – degraded soil structure
Invertebrates damage 18% world crop production (worth €77 billion)
populations can supply only 34%
we maximise wild pollinators
0.8 0.9 1 1.1 1.2 2006 2007 2008 2009 2010 2011
Yield deficit as ratio of Regional/National average
Whole field
Cross Compliance ELS ELS Extra
The evidence behind sustainable intensification:
The Hillesden platform.
Entry level AES (3% land out of production) Entry level AES (8% land out of production) Cross compliance (0% out of production)
Using detailed yield mapping we found that wildlife friendly habitats support greater yields though improved pollination and pest control.
Maximising the spatial delivery of ecosystem services
In-field strips Field margins To support pest control, pollination and in field delivery of soil biota
Maximising the spatial delivery of ecosystem services
In-field strips Field margins To support pest control, pollination and in field delivery of soil biota We are applying a systems level approach to assess the aggregate effects of sustainable management systems.
WP4 Synthesis: optimisation of future agricultural systems
Develop modelling framework for
multiple objectives (production, ecosystem services, biodiversity):
production.
agricultural management on natural capital and biodiversity.
ecosystems
Targeting sites with potential for intensification / extensification(WP1) Risks to natural capital & biodiversity
Conflicts Avoidance & Mitigation strategies (agri-tech + nature-based) (WP3) Scenarios of environ. change Building resilience of agro-ecosystem (WPs2/3) Optimisation Optimisation
Planning future multi-functional agricultural landscapes
Trade-offs Schematic showing how ASSIST will be used to identify and manage conflicts for planning future multi-functional agricultural landscapes Synergies
SITE 1: A Elliot, North Farm Norton Barant Warminster BA12 0EP Phone: 01985 215368 Mob: 07977 492022 GridRef: ST9251 330 660 165 Meters¯
1km buffer Field Boundarylarge scale effects of switching dominant crop classes
‘extreme’, but linked to potential socioeconomic priorities:
https://eip.ceh.ac.uk/assist/
ASSIST Scenario Exploration Tool
ASSIST will provide the long-term, large-scale strategic underpinning for a community-led transformation of agriculture.
We welcome opportunities for new partnerships with the academic community and farming industry to address critical knowledge gaps.
Work with us
funded by
Photo – Lucy Holmes
www.assist.ceh.ac.uk
Sajjad Awan Resource Management Scientist, AHDB
crop nutrition
27% 25% 23% 9% 8% 7%
2%
88% ammonia from agriculture
Could reduce by following good practice on:
(emphasis on quality)
Project Lead: Sarah Kendall; ADAS
7% increase in spring barley demand from 2018
(emphasis on quality)
winter and spring oats for yield and milling quality
BBSRC & AHDB: InnovOat project
Project Lead: Sarah Clarke; ADAS
(emphasis on quality)
quality targets of high yielding modern winter milling wheat
Project Lead: Nathan Morris; NIAB
Charlotte Rowley
control
levels of resistance, bird cherry-oat aphid (R. padi) not yet showing signs
https://cereals.ahdb.org.uk/BYDV
Review of existing models Farmer/agronomist opinion survey
Predictive capability of in-field monitoring Farmer attitudes/ease of use Reliability of trapping system
immigration of aphid vectors Contribution of landscape factors to aphid immigration Effect of cultivation on aphid immigration
Working towards a decision support system for aphid management in winter cereals BYDV survey can be accessed via:
cereals.ahdb.org.uk/aphids
seed rate on CSFB
Objectives
Weather a large factor in CSFB damage August drilling lowers risk of adult damage, September drilling lowers risk of larval damage
Has potential to reduce pressure, large area of volunteers may be needed Trials on-going
Plot trials showed reductions in larval infestation No impact on yield pre-stem extension Limited ability of larvae to re-invade Trials on-going, including disease assessments
?
David Hurst, Law Farming Tom Mead, Bleak House Farm Total farm hectarage 1,821ha 312ha Arable area 1,355ha 303ha Cropping Rye, wheat, barley, oats, spring barley, forage rape, spring mustard, sugar beet Winter wheat, oats, OSR, winter and spring barley, beans and sugar beet Other enterprises 1800 breeding ewes; 1000 store lambs bought in during autumn/winter; 40 suckler cow herd
@AHDB_Cereals - @CerealsEA - #monitorfarm – Podcast – teresa.meadows@ahdb.org.uk – 07387 015465