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The University of Sydney Page 1
Past, present and future research in dairy production
Sergio (Yani) Garcia Dairy Symposium 2017
Port Macquarie, NSW
The University of Sydney Page 2
Outline
Past Present Future
The University of Sydney Page 3
Dairy Research
Foundation (DRF)
DRF
Re
se
arc
h a
nd T
ea
chin
g
Ind
ustr
y
Dairy Science
CIAG
The University of Sydney Page 4
The University of Sydney Page 5
FutureDairy’s FEEDBASE journey…
Complementary
forage rotations
Complementary
forage systems
Commercial farms
(Hunter Valley, N. Vic)
N & Water
use
efficiency
The University of Sydney Page 6
Key achievements of FutureDairy (Feedbase)
22 ton
utilised
DM/ha
40 ton
utilised
DM/ha
28,000 L /ha
from home-
grown feed
7,700 L /cow
with 1 ton/cow of
grain
Brassica
Legume
Maize
CFS
CFR
The University of Sydney Page 7
FutureDairy’s AMS journey…
Pasture-based
AMS
Co-
development
of AMR
Large-herds
Adoption
barriers
The University of Sydney Page 8
Associate Professor
Kendra Kerrisk
The University of Sydney Page 9
Legacy AMR: more options for Australian farmers
The University of Sydney Page 10
Legacy
AMS Large
Herd Guidelines
The University of Sydney Page 11
Over 70 scientific papers
Over 40 Technical Notes
and articles
Over 3,000 media hits
The University of Sydney Page 12
Dr Cameron Clark
The University of Sydney Page 13
Education through science
Mariana Pedernera
(PhD)
Helen Smith (PhD)
Daniel Dickeson
(MSc)
Rene Kolbach(MSc)
Kamila (PhD)
PanchaShrestha
(MSc)
RavnetKaur (PhD)
BertinKabore(MSc)
Santiago Fariña(PhD)
Nico Lyons (PhD)
SharanikaTalukder
(PhD)
Michael Campbell
(PhD)
Tori Alexander
(PhD)
Ash Wildridge
(PhD)
MomenaKathun(PhD)
Ali Green (PhD)
Alex John (PhD)
MardhatiMohamed
(PhD)
Helen Golder (PhD)*
Rachael Rodney (PhD)*
Juan Molfino(PhD)
Meagan Douglas (PhD)
Stuart Scott (PhD)
John Gardenier
(PhD)
The University of Sydney Page 14
Current research areas
AMS (FutureDairy)
Health & welfare
Feedbase
Barriers to adoption
Extension & training
Address complexity
HEADS: High Efficiency Automated Dairy Systems
MLADC
RRDFP/ Virtual
fencing
Smart Automation
The University of Sydney Page 15
Current projects
Ash Wildridge(PhD)
Momena Kathun(PhD)
Ali Green (PhD) Alex John (PhD)MardhatiMohamed (PhD)
Juan Molfino(PhD)
Meagan Douglas (PhD)
Stuart Scott (PhD)
John Gardenier(PhD)
Dr Sabrina Lomax
Heat stress
Cow traffic
(AMS)
Mastitis
(AMS)
Cow
behaviour
(AMS/CMS)
Cow feeding
& traffic
(AMS)
Cow intake
(AMS/CMS)
Cow
efficiency
(AMS)
Pasture
quality
(AMS/CMS)
Data
(AMS/CMS)
Lameness
(AMS/CMS)
Virtual
fencing
(AMS/CMS)
The University of Sydney Page 16
Health and welfare phenotypes
Health &
welfare
The University of Sydney Page 17
Lameness phenotype
John
Gardenier,
PhD student
(Engineering)
The University of Sydney Page 18
Li-dar - stereo cameras – machine learning - neural networks
The University of Sydney Page 19
Tolerate
Minimise
Avoid
Dr Sabrina
Lomax
Virtual fenceFeed
The University of Sydney Page 20
Pasture height
with stereo-
cameras
20.6 cm 12.0 cm 6.7cm
Li, Underwood,
Clark, Islam y
Garcia 2016
0
0.1
0.2
0.3
0.4
0.5
0
1
2
3
4
5
High Medium Low
Ste
reo C
am
era
(m
)
DM
Yie
ld (
g)
DM Yield Stereo Camera Height
Feed-base
The future: opportunities
The University of Sydney Page 22
Automatic milking systems (AMS)
• Economic narrative
• Extension & training
• Addressing complexity
Address barriers to
adoption through:
The University of Sydney Page 23
‘Smart’ Automation
Data capture
Data Analysis
Optimisation
Automated action
Measurable change
• Strategically directed
• Tailored to individual needs
• Self-learning
• Linked to automated action
✓✓✓
✓✓✘
✘
✘
The University of Sydney Page 24
How will future
generations of farmers
produce milk?
The University of Sydney Page 25
The University of Sydney Page 26
The University of Sydney Page 27
The Dairy Research Foundation’s2017 Symposium
26th July 2017
Port Macquarie NSW
#drfsymposium
The University of Sydney Page 29
PérdidasLosses
15-20 vs 40 ton
The University of Sydney Page 30
Lots of practical messages…
0
5
10
15
20
25
30
35
40
45
0 124246354484 0 124246354484 0 124246354484 0 124246354484
0 33 66 100
Fo
rag
e y
ield
(t
DM
/ha
)
Nitrogen (kg/ha)
Tota
l a
nnua
l yie
ld (to
n D
M/ha
)
Maize
R Islam & SC Garcia, FutureDairy
Brassica
Legume
Irrigation (%)
The University of Sydney Page 31
The Concept
Voluntary
Milking
Unit
Cow entry
A position: Robotic
arm attaching cups
to cow on the right
bail.
B position:
Robotic arm
retractedBail C is
always vacant
Cow s may exit at any
time after milking is
f inished and cups
removed automatically