SlideShare a Scribd company logo
1 of 21
Download to read offline
Environments	
  of	
  Produc1on	
  and	
  
Agronomic	
  Management	
  
2nd	
  Sugarcane	
  Physiology	
  for	
  Agronomic	
  Applica7on	
  Workshop	
  

JORGE	
  LUIS	
  DONZELLI	
  
R&D	
  Manager	
  
CTC	
  Sugarcane	
  Breeding	
  Program	
  
jorge.donzelli@ctc.com.br	
  

Campinas,	
  October,	
  29,	
  2013	
  
Presenta1on	
  schedule	
  

Yield	
  Poten1al	
  -­‐The	
  pillars	
  of	
  agronomic	
  produc1on	
  
Defini1on	
  of	
  Environments	
  of	
  Produc1on	
  
Agronomic	
  management	
  -­‐	
  Varie1es	
  
Agronomic	
  management	
  –	
  Best	
  Prac1ces	
  
Yield:	
  where	
  we	
  are?	
  
Final	
  comments	
  
YIELD	
  POTENTIAL	
  (Yp)*	
  
	
  “the	
  yield	
  of	
  a	
  cul7var	
  when	
  grown	
  in	
  environments	
  to	
  
which	
  it	
  is	
  adapted,	
  with	
  nutrients	
  and	
  water	
  non-­‐
limi7ng,	
  and	
  with	
  pests,	
  diseases,	
  weeds,	
  lodging	
  
and	
  other	
  stresses	
  effec7vely	
  controlled”	
  	
  
	
   	
  
	
  
	
  (Evans	
  and	
  Fisher	
  1999)	
  

*	
  Quoted	
  by	
  Paul	
  H.	
  Moore,	
  Physiological	
  Constraints	
  of	
  Sugarcane	
  Yield	
  Poten7al,	
  Centro	
  de	
  Tecnologia	
  Canavieira,	
  Piracicaba,	
  2013	
  	
  
The	
  pillars	
  of	
  agronomic	
  produc1on	
  

CROP YIELD
175
150
DEF.HÍDR.

125

CLIMA
Divided	
  in	
  5	
  categories	
  
A-­‐B-­‐C-­‐D-­‐E	
  	
  

MI LÍM ET ROS

SOIL

EXC.HÍDR.

100
75
50
25
0

CLIMATE	
  
CHUVA

EVAP.POT.

-25
-50
J

F

M

A

M

J

J

A

S

O

N

AGRONOMIC	
  
Management

D

Divided	
  in	
  5	
  categories	
  
I-­‐II-­‐III-­‐IV-­‐V	
  	
  

Divided	
  in	
  2	
  categories	
  
Varie1es	
  +Best	
  
prac1ces	
  

Objec7ve:	
  	
  the	
  problems	
  of	
  applica7on	
  of	
  best	
  prac7ces	
  in	
  agronomic	
  management	
  
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  -­‐	
  Defini1on	
  of	
  Environments	
  of	
  Produc1on	
  
Yield	
  Poten1al	
  Decrease	
  from	
  A	
  to	
  E	
  
175
150
DEF.HÍDR.

125

AGRONOMIC	
  
Management

EXC.HÍDR.

SOIL

MI LÍM ET ROS

100
75
50
25
0

CLIMATE	
  
CHUVA

EVAP.POT.

-25
-50
J

F

M

A

M

J

J

A

S

O

N

D

A

TCH MÉDIA DE 4 CORTES

	
  TCH	
  Average	
  of	
  4	
  cuts	
  

B
C

105,0

D
E

100,0
95,0

tcana/ha

90,0
85,0

CLIMA
80,0
75,0
70,0
65,0
88/89

89/90

90/91

91/92

92/93

93/94

94/95

SAFRAS
Harvest	
  Season	
  

95/96

96/97

97/98

98/99

99/00

Média
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  -­‐	
  Defini1on	
  of	
  Environments	
  of	
  Produc1on	
  
CTC	
  data	
  bank	
  
•  24	
  years	
  of	
  sugarcane	
  yield	
  
•  20-­‐40	
  years	
  of	
  climate	
  data	
  

“EDAPHOCLIMATIC”
ENVIRONMENTS OF
PRODUCTION (EEP)
175
150
DEF.HÍDR.

125

EXC.HÍDR.

SOIL

MI LÍM ET ROS

100
75
50
25
0

CLIMATE	
  
CHUVA

EVAP.POT.

-25
-50
J

AMBIENTES	
  
EDAFOCLIMATICOS

SOLOS
SOILS	
  

EEP	
  

A
B
C
D
E

F

M

A

M

J

J

A

S

O

N

AGRONOMIC	
  
Management

D

Clima7c	
  Regions	
  
REGIÕES	
  CLIMÁTICAS
I
II
III
IV
A-­‐I Yie A-­‐II
A-­‐III
A-­‐IV
ld	
  Po
ten
B-­‐I
B-­‐II1al	
  
B-­‐III
B-­‐VI
Decr
ease
C-­‐I
C-­‐II
C-­‐IIIfro
	
   m C-­‐VI
	
  A–I	
  
to	
  E-­‐
D-­‐I
D-­‐II
D-­‐III
D-­‐VIV	
  
E-­‐I
E-­‐II
E-­‐III
E-­‐IV

V
A-­‐V
B-­‐V
C-­‐V
D-­‐V
E-­‐V
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  -­‐	
  Defini1on	
  of	
  Environments	
  of	
  Produc1on	
  
175
150
DEF.HÍDR.

125

CLIMATE
EXC.HÍDR.

MI LÍM ET ROS

100

SOIL

75
50
25
0

CHUVA

EVAP.POT.

-25

AGRONOMIC	
  
Management

-50
F

M

A

M

J

J

A

S

O

N

D

Toneladas Tones	
  pol/ha	
  –	
  Average	
  of	
  5	
  cuts	
   5 cortes.
de Pol por Hectare (TPH), média de

61%	
  

27%	
  

Ambientes de
Edaphoclima7c	
  EProdução Edafoclimáticos
nvironments	
  of	
  Produc7on	
  

A-V
B-V
C-V
D-V
E-V

A-IV
B-IV
C-IV
D-IV
E-IV

A-III
B-III
C-III
D-III
E-III

27%	
  
A-II
B-II
C-II
D-II
E-II

15,0
14,5
14,0
13,5
13,0
12,5
12,0
11,5
11,0
10,5
10,0
9,5
9,0
8,5
8,0

A-I
B-I
C-I
D-I
E-I

tpol/ha

J
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  -­‐	
  Defini1on	
  of	
  Environments	
  of	
  Produc1on	
  

175
150
DEF.HÍDR.

125
MI LÍM ET ROS

SOIL

EXC.HÍDR.

100
75
50
25
0

CLIMATE	
  
CHUVA

EVAP.POT.

AGRONOMIC	
  
Management

-25
-50
J

F

M

A

M

J

J

A

S

O

N

WELL	
  KNONW	
  FACTORS	
  OF	
  CROP	
  YIELD	
  

D

?

Varie7es	
  	
  +	
  Best	
  Agronomic	
  prac7ces	
  
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  –	
  VARIETY	
  MANAGEMENT	
  

HOW	
  WE	
  CHOOSE	
  VARIETIES	
  TO	
  PLANT???	
  

AGRONOMIC	
  
MANAGEMENT	
  

VARIETIES
BREEDING PROGRAM FLOW CHART

YEAR 1

Germoplasm
Bank

BREEDING
(Camamu/BA)

YEAR 1

SEEDLINGS
PRODUCTION
(Piracicaba/SP)

PHASE 1

YEAR 2 to 5

DISEASES
TRIALS

Phase 4:
CTC variety
recommendation to
planting in many different
sites.(SEEDS & PD)
CTC’S
VARIETIES

INITIAL SELECTION
(In 18 Experimental
Stations )

PHASE 2

YEAR 5 to 8

REGIONAL
SELECTION
VARIETY TRIALS
(18 EXPERIMENTAL
STATIONS)

Trials in different
Environments of
Production

PHASE 3
TWO CUTS
RIPENING CURVES
28	
  RELEASED	
  VARIETIES	
  

15-­‐20	
  %	
  	
  more	
  yield	
  in	
  
specific	
  sites	
  
VARIETY	
  RECOMMENDATION	
  

CTC	
  9001	
  -­‐	
  EXAMPLE	
  
5	
  SOIL	
  
CATEGORIES	
  

HARVESTING	
  TIME	
  

5	
  CLIMATE	
  CATEGORIES

	
  
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  –	
  AGRONOMIC	
  BEST	
  PRACTICES	
  

DEDICATED	
  TO	
  EXPLORE	
  ALL	
  GENETIC	
  POTENTIAL	
  INCORPORATED	
  BY	
  THE	
  BREEDING	
  PROGRAM	
  

AGRONOMIC	
  
MANAGEMENT	
  

BEST
PRACTICES
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  –	
  AGRONOMIC	
  BEST	
  PRACTICES	
  

TPH	
  
Environment	
  of	
  Produc1on	
  	
  B-­‐II	
  	
  

Average	
  Yield	
  (ton	
  Pol)	
  –	
  5	
  cuts	
  -­‐	
  	
  Harvest	
  season	
  	
  06/07	
  to	
  10/11	
  

Fonte	
  :	
  Joaquim,	
  A.C.	
  et	
  al	
  –	
  Projeto	
  Sistemas	
  de	
  Manejo	
  Agronômico,	
  CTC,	
  2013	
  
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  –	
  AGRONOMIC	
  BEST	
  PRACTICES	
  

TPH	
  
Environment	
  of	
  Produc1on	
  	
  C-­‐II	
  	
  

Average	
  Yield	
  (ton	
  Pol)	
  –	
  5	
  cuts	
  -­‐	
  	
  Harvest	
  season	
  	
  06/07	
  to	
  10/11	
  

Fonte	
  :	
  Joaquim,	
  A.C.	
  et	
  al	
  –	
  Projeto	
  Sistemas	
  de	
  Manejo	
  Agronômico,	
  CTC,	
  2013	
  
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  –	
  AGRONOMIC	
  BEST	
  PRACTICES	
  

TPH	
  
Environment	
  of	
  Produc1on	
  	
  D-­‐II	
  	
  

Average	
  Yield	
  (ton	
  Pol)	
  –	
  5	
  cuts	
  -­‐	
  	
  Harvest	
  season	
  	
  06/07	
  to	
  10/11	
  

Fonte	
  :	
  Joaquim,	
  A.C.	
  et	
  al	
  –	
  Projeto	
  Sistemas	
  de	
  Manejo	
  Agronômico,	
  CTC,	
  2013	
  
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  –	
  WHERE	
  WE	
  ARE?	
  

Average,	
  maximum	
  and	
  theore1cal	
  sugarcane	
  yields	
  and	
  total	
  
dry	
  maeer	
  produc1on	
  
(Australia, Colombia, South Africa)	
  
Cane
(f wt)
(t ha-1 yr-1)

Cane
(d wt)
(t ha-1 yr-1)

Percent
theoretical
maximum

Biomass*

(RUE)	
  

(t ha-1 yr-1)

Biomass (g) per
absorbed
irradiance, MJ

Average
(actual)

84

25

27
27%	
  

39

0.78

Commercial
maximum
(attainable)

148

44

48

69

1.30

Experimental
maximum
(potential)

212

63

69

98

1.86

308

92

100

142

2.96

Type

Maximum
(theoretical)

Source:	
  Paul	
  H.	
  Moore,	
  Physiological	
  Constraints	
  of	
  Sugarcane	
  Yield	
  Poten7al,	
  Centro	
  de	
  Tecnologia	
  Canavieira,	
  Piracicaba,	
  2013	
  	
  
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  –	
  WHERE	
  WE	
  ARE?	
  
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  –	
  WHERE	
  WE	
  ARE?	
  
The	
  Pillars	
  of	
  Agronomic	
  Produc1on	
  

Final	
  Comments	
  
• 

The	
  environments	
  of	
  produc1on	
  are	
  reliable	
  for	
  variety	
  recommenda1on;	
  

• 

Un1l	
  now	
  the	
  agronomic	
  recommenda1ons	
  –	
  best	
  prac1ces	
  -­‐	
  are	
  not	
  been	
  used	
  by	
  
producers	
  in	
  a	
  proper	
  manner	
  –	
  huge	
  yield	
  differences	
  have	
  been	
  reported	
  in	
  the	
  
same	
  soil	
  and	
  climate	
  condi1ons	
  (environments	
  of	
  produc1on);	
  

• 

Data	
  survey	
  (CTC	
  mutual	
  control	
  and	
  local	
  observa1ons)	
  with	
  producers	
  have	
  shown	
  
that	
  these	
  yield	
  differences	
  are	
  due	
  to:	
  	
  
• 
i)	
  lack	
  of	
  use	
  proper	
  plant	
  nutri1on;	
  	
  
• 
• 

ii)	
  pest	
  control	
  and	
  diseases;	
  
iii)	
  use	
  of	
  flowering	
  varie1es;	
  

• 

iv)	
  poor	
  land	
  prepara1on	
  and	
  misuse	
  of	
  soil	
  conserva1on	
  prac1ces;	
  	
  

• 

v)	
  increase	
  of	
  mechanical	
  harves1ng	
  with	
  no	
  traffic	
  control	
  (soil	
  compac1on	
  
and	
  traffic	
  over	
  plant	
  rows	
  –	
  inter	
  row	
  spacement);	
  	
  

• 

vi)	
  use	
  of	
  non	
  suitable	
  varie1es	
  for	
  both	
  mechanical	
  harves1ng	
  and	
  mechanical	
  
plan1ng;	
  eg.	
  RB86-­‐7515;	
  SP81-­‐3250	
  

• 

vii)	
  mistakes	
  in	
  1me	
  of	
  plan1ng	
  and	
  harves1ng	
  varie1es	
  (beginning-­‐middle-­‐
end).	
  
Acknowledgment	
  
Antonio	
  Celso	
  Joaquim	
  –	
  CTC	
  Researcher	
  
Fernando	
  Cesar	
  Bertolani	
  –	
  CTC	
  Researcher	
  

Jorge	
  Luis	
  Donzelli	
  
R&D	
  Manager	
  
	
  CTC	
  Sugarcane	
  Breeding	
  Program	
  
jorge.donzelli@ctc.com.br	
  

More Related Content

What's hot

Coping with Marginality and Salinization for Sustainable Food Security
Coping with Marginality and Salinization for Sustainable Food SecurityCoping with Marginality and Salinization for Sustainable Food Security
Coping with Marginality and Salinization for Sustainable Food SecurityFAO
 
Trey Colley - Subsurface Placement - Opportunities And Considerations
Trey Colley - Subsurface Placement - Opportunities And ConsiderationsTrey Colley - Subsurface Placement - Opportunities And Considerations
Trey Colley - Subsurface Placement - Opportunities And ConsiderationsJohn Blue
 
niggli-etal-2009-lowgreenhouse
niggli-etal-2009-lowgreenhouseniggli-etal-2009-lowgreenhouse
niggli-etal-2009-lowgreenhousePaul Reed Hepperly
 
Yield mapping Combinable Crops, Potential & Problems, An initial Phd Seminar ...
Yield mapping Combinable Crops, Potential & Problems, An initial Phd Seminar ...Yield mapping Combinable Crops, Potential & Problems, An initial Phd Seminar ...
Yield mapping Combinable Crops, Potential & Problems, An initial Phd Seminar ...Akbar Sanaei, PhD
 
Investing in sustainable agriculture intensification
Investing in sustainable agriculture intensificationInvesting in sustainable agriculture intensification
Investing in sustainable agriculture intensificationCSISA
 
Scaling up soil carbon enhancement contributing to mitigate climate change
Scaling up soil carbon enhancement contributing to mitigate climate changeScaling up soil carbon enhancement contributing to mitigate climate change
Scaling up soil carbon enhancement contributing to mitigate climate changeCIAT
 
Climate change and the Energy-Agriculture-Climate Change nexus
Climate change and the Energy-Agriculture-Climate Change nexusClimate change and the Energy-Agriculture-Climate Change nexus
Climate change and the Energy-Agriculture-Climate Change nexusExternalEvents
 
Ladislau martin-Neto et al.
Ladislau martin-Neto et al.Ladislau martin-Neto et al.
Ladislau martin-Neto et al.REMEDIAnetwork
 
Regional livestock modeling for climate change adaptation and mitigation in S...
Regional livestock modeling for climate change adaptation and mitigation in S...Regional livestock modeling for climate change adaptation and mitigation in S...
Regional livestock modeling for climate change adaptation and mitigation in S...ILRI
 
Claudia Ringler (IFPRI) • 2021 IFPRI Egypt Seminar Series: "Climate Change Ad...
Claudia Ringler (IFPRI) • 2021 IFPRI Egypt Seminar Series: "Climate Change Ad...Claudia Ringler (IFPRI) • 2021 IFPRI Egypt Seminar Series: "Climate Change Ad...
Claudia Ringler (IFPRI) • 2021 IFPRI Egypt Seminar Series: "Climate Change Ad...Lina Abdelfattah
 

What's hot (20)

Metrics for CSA: increasing programming effectiveness and outcome tracking
Metrics for CSA: increasing programming effectiveness and outcome trackingMetrics for CSA: increasing programming effectiveness and outcome tracking
Metrics for CSA: increasing programming effectiveness and outcome tracking
 
Coping with Marginality and Salinization for Sustainable Food Security
Coping with Marginality and Salinization for Sustainable Food SecurityCoping with Marginality and Salinization for Sustainable Food Security
Coping with Marginality and Salinization for Sustainable Food Security
 
Trey Colley - Subsurface Placement - Opportunities And Considerations
Trey Colley - Subsurface Placement - Opportunities And ConsiderationsTrey Colley - Subsurface Placement - Opportunities And Considerations
Trey Colley - Subsurface Placement - Opportunities And Considerations
 
niggli-etal-2009-lowgreenhouse
niggli-etal-2009-lowgreenhouseniggli-etal-2009-lowgreenhouse
niggli-etal-2009-lowgreenhouse
 
Yield mapping Combinable Crops, Potential & Problems, An initial Phd Seminar ...
Yield mapping Combinable Crops, Potential & Problems, An initial Phd Seminar ...Yield mapping Combinable Crops, Potential & Problems, An initial Phd Seminar ...
Yield mapping Combinable Crops, Potential & Problems, An initial Phd Seminar ...
 
Investing in sustainable agriculture intensification
Investing in sustainable agriculture intensificationInvesting in sustainable agriculture intensification
Investing in sustainable agriculture intensification
 
Scaling up soil carbon enhancement contributing to mitigate climate change
Scaling up soil carbon enhancement contributing to mitigate climate changeScaling up soil carbon enhancement contributing to mitigate climate change
Scaling up soil carbon enhancement contributing to mitigate climate change
 
Project implementation plan: Piloting and scaling of low emission development...
Project implementation plan: Piloting and scaling of low emission development...Project implementation plan: Piloting and scaling of low emission development...
Project implementation plan: Piloting and scaling of low emission development...
 
Climate change and the Energy-Agriculture-Climate Change nexus
Climate change and the Energy-Agriculture-Climate Change nexusClimate change and the Energy-Agriculture-Climate Change nexus
Climate change and the Energy-Agriculture-Climate Change nexus
 
Arias-Navarro et al
Arias-Navarro et alArias-Navarro et al
Arias-Navarro et al
 
Overview of CGIAR Climate Change, Agriculture and Food Security Research Prog...
Overview of CGIAR Climate Change, Agriculture and Food Security Research Prog...Overview of CGIAR Climate Change, Agriculture and Food Security Research Prog...
Overview of CGIAR Climate Change, Agriculture and Food Security Research Prog...
 
Ladislau martin-Neto et al.
Ladislau martin-Neto et al.Ladislau martin-Neto et al.
Ladislau martin-Neto et al.
 
Aplication of the CropSyst model to Mallee farming systems (Australia)
Aplication of the CropSyst model to Mallee farming systems (Australia)Aplication of the CropSyst model to Mallee farming systems (Australia)
Aplication of the CropSyst model to Mallee farming systems (Australia)
 
Nada Kassem • 2017 IFPRI Egypt Seminar: How to make Agriculture Climate Smart...
Nada Kassem • 2017 IFPRI Egypt Seminar: How to make Agriculture Climate Smart...Nada Kassem • 2017 IFPRI Egypt Seminar: How to make Agriculture Climate Smart...
Nada Kassem • 2017 IFPRI Egypt Seminar: How to make Agriculture Climate Smart...
 
GHG mitigation potential in rice production
GHG mitigation potential in rice productionGHG mitigation potential in rice production
GHG mitigation potential in rice production
 
Quantitative foresight modeling to inform prioritization - Keith Wiebe
Quantitative foresight modeling to inform prioritization - Keith WiebeQuantitative foresight modeling to inform prioritization - Keith Wiebe
Quantitative foresight modeling to inform prioritization - Keith Wiebe
 
Regional livestock modeling for climate change adaptation and mitigation in S...
Regional livestock modeling for climate change adaptation and mitigation in S...Regional livestock modeling for climate change adaptation and mitigation in S...
Regional livestock modeling for climate change adaptation and mitigation in S...
 
Dollars & Sense: Digging into Local Food Opportunities (Part 1)
Dollars & Sense: Digging into Local Food Opportunities (Part 1)Dollars & Sense: Digging into Local Food Opportunities (Part 1)
Dollars & Sense: Digging into Local Food Opportunities (Part 1)
 
Claudia Ringler (IFPRI) • 2021 IFPRI Egypt Seminar Series: "Climate Change Ad...
Claudia Ringler (IFPRI) • 2021 IFPRI Egypt Seminar Series: "Climate Change Ad...Claudia Ringler (IFPRI) • 2021 IFPRI Egypt Seminar Series: "Climate Change Ad...
Claudia Ringler (IFPRI) • 2021 IFPRI Egypt Seminar Series: "Climate Change Ad...
 
Improving data on greenhouse gas emissions—and mitigation potentials—from agr...
Improving data on greenhouse gas emissions—and mitigation potentials—from agr...Improving data on greenhouse gas emissions—and mitigation potentials—from agr...
Improving data on greenhouse gas emissions—and mitigation potentials—from agr...
 

Similar to Sugarcane Physiology Workshop Environments Production Management

Crop diversity and climate change
Crop diversity and climate changeCrop diversity and climate change
Crop diversity and climate changeLuigi Guarino
 
Can agricultural biotechnologies address the challenges of climate change. li...
Can agricultural biotechnologies address the challenges of climate change. li...Can agricultural biotechnologies address the challenges of climate change. li...
Can agricultural biotechnologies address the challenges of climate change. li...ExternalEvents
 
Welcome to the Remote Sensing – Beyond Images Workshop
Welcome to the Remote Sensing – Beyond Images WorkshopWelcome to the Remote Sensing – Beyond Images Workshop
Welcome to the Remote Sensing – Beyond Images WorkshopCIMMYT
 
Precision Agriculture for smallholder farmers: Are we dreaming?
Precision Agriculture for smallholder farmers:  Are we dreaming?Precision Agriculture for smallholder farmers:  Are we dreaming?
Precision Agriculture for smallholder farmers: Are we dreaming?CIMMYT
 
Precision farming: measure then manage - Mark Pettigrew (Pepsico)
Precision farming: measure then manage - Mark Pettigrew (Pepsico)Precision farming: measure then manage - Mark Pettigrew (Pepsico)
Precision farming: measure then manage - Mark Pettigrew (Pepsico)Farming Futures
 
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...FAO
 
Barilla Sustainable Farming: a Smart Agriculture Tool in the Climate Change Era
Barilla Sustainable Farming: a Smart Agriculture Tool in the Climate Change EraBarilla Sustainable Farming: a Smart Agriculture Tool in the Climate Change Era
Barilla Sustainable Farming: a Smart Agriculture Tool in the Climate Change EraData Driven Innovation
 
The use of Arachis pintoi in cattle systems in Colombia's Orinoquía region as...
The use of Arachis pintoi in cattle systems in Colombia's Orinoquía region as...The use of Arachis pintoi in cattle systems in Colombia's Orinoquía region as...
The use of Arachis pintoi in cattle systems in Colombia's Orinoquía region as...Tropical Forages Program
 
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...ExternalEvents
 
202105_CBIJ_academia_tool_ENG_final.pptx
202105_CBIJ_academia_tool_ENG_final.pptx202105_CBIJ_academia_tool_ENG_final.pptx
202105_CBIJ_academia_tool_ENG_final.pptxAtiqaLiaqat
 
Precision agriculture in maize-based cropping systems
Precision agriculture in maize-based cropping systemsPrecision agriculture in maize-based cropping systems
Precision agriculture in maize-based cropping systemsCIMMYT
 
Agro-ecological approach conservation agriculture and SRI - Prof. Amir Kassam
Agro-ecological approach conservation agriculture and SRI - Prof. Amir KassamAgro-ecological approach conservation agriculture and SRI - Prof. Amir Kassam
Agro-ecological approach conservation agriculture and SRI - Prof. Amir KassamSri Lmb
 
Transforming Maize-legume Value Chains – A Business Case for Climate-Smart Ag...
Transforming Maize-legume Value Chains –A Business Case for Climate-Smart Ag...Transforming Maize-legume Value Chains –A Business Case for Climate-Smart Ag...
Transforming Maize-legume Value Chains – A Business Case for Climate-Smart Ag...CIMMYT
 
L-paper_pulp_mill_case study-ppt (1).ppt
L-paper_pulp_mill_case study-ppt (1).pptL-paper_pulp_mill_case study-ppt (1).ppt
L-paper_pulp_mill_case study-ppt (1).pptnehasolanki83
 
Mobilizing greater crop and land potentials: replacing the faltering engine
Mobilizing greater crop and land potentials: replacing the faltering engineMobilizing greater crop and land potentials: replacing the faltering engine
Mobilizing greater crop and land potentials: replacing the faltering engineFAO
 
Climate smart Agriculture: an introduction - Bruno Verbist (KLIMOS)
Climate smart Agriculture: an introduction - Bruno Verbist (KLIMOS)Climate smart Agriculture: an introduction - Bruno Verbist (KLIMOS)
Climate smart Agriculture: an introduction - Bruno Verbist (KLIMOS)BTC CTB
 
The status and challenges of global soil fertility and the use of fertilizers
The status and challenges of global soil fertility and the use of fertilizersThe status and challenges of global soil fertility and the use of fertilizers
The status and challenges of global soil fertility and the use of fertilizersSoils FAO-GSP
 

Similar to Sugarcane Physiology Workshop Environments Production Management (20)

Crop diversity and climate change
Crop diversity and climate changeCrop diversity and climate change
Crop diversity and climate change
 
Can agricultural biotechnologies address the challenges of climate change. li...
Can agricultural biotechnologies address the challenges of climate change. li...Can agricultural biotechnologies address the challenges of climate change. li...
Can agricultural biotechnologies address the challenges of climate change. li...
 
Welcome to the Remote Sensing – Beyond Images Workshop
Welcome to the Remote Sensing – Beyond Images WorkshopWelcome to the Remote Sensing – Beyond Images Workshop
Welcome to the Remote Sensing – Beyond Images Workshop
 
Precision Agriculture for smallholder farmers: Are we dreaming?
Precision Agriculture for smallholder farmers:  Are we dreaming?Precision Agriculture for smallholder farmers:  Are we dreaming?
Precision Agriculture for smallholder farmers: Are we dreaming?
 
Precision farming: measure then manage - Mark Pettigrew (Pepsico)
Precision farming: measure then manage - Mark Pettigrew (Pepsico)Precision farming: measure then manage - Mark Pettigrew (Pepsico)
Precision farming: measure then manage - Mark Pettigrew (Pepsico)
 
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...
 
Barilla Sustainable Farming: a Smart Agriculture Tool in the Climate Change Era
Barilla Sustainable Farming: a Smart Agriculture Tool in the Climate Change EraBarilla Sustainable Farming: a Smart Agriculture Tool in the Climate Change Era
Barilla Sustainable Farming: a Smart Agriculture Tool in the Climate Change Era
 
The use of Arachis pintoi in cattle systems in Colombia's Orinoquía region as...
The use of Arachis pintoi in cattle systems in Colombia's Orinoquía region as...The use of Arachis pintoi in cattle systems in Colombia's Orinoquía region as...
The use of Arachis pintoi in cattle systems in Colombia's Orinoquía region as...
 
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
 
202105_CBIJ_academia_tool_ENG_final.pptx
202105_CBIJ_academia_tool_ENG_final.pptx202105_CBIJ_academia_tool_ENG_final.pptx
202105_CBIJ_academia_tool_ENG_final.pptx
 
T6 intro woods_cross-cutting issues_20nov14
T6 intro woods_cross-cutting issues_20nov14T6 intro woods_cross-cutting issues_20nov14
T6 intro woods_cross-cutting issues_20nov14
 
Establishing a climate smart agricultural world
Establishing a climate smart agricultural worldEstablishing a climate smart agricultural world
Establishing a climate smart agricultural world
 
0906 Agricultural Development: What Comes After 'Modern Agriculture'?
0906 Agricultural Development: What Comes After 'Modern Agriculture'?0906 Agricultural Development: What Comes After 'Modern Agriculture'?
0906 Agricultural Development: What Comes After 'Modern Agriculture'?
 
Precision agriculture in maize-based cropping systems
Precision agriculture in maize-based cropping systemsPrecision agriculture in maize-based cropping systems
Precision agriculture in maize-based cropping systems
 
Agro-ecological approach conservation agriculture and SRI - Prof. Amir Kassam
Agro-ecological approach conservation agriculture and SRI - Prof. Amir KassamAgro-ecological approach conservation agriculture and SRI - Prof. Amir Kassam
Agro-ecological approach conservation agriculture and SRI - Prof. Amir Kassam
 
Transforming Maize-legume Value Chains – A Business Case for Climate-Smart Ag...
Transforming Maize-legume Value Chains –A Business Case for Climate-Smart Ag...Transforming Maize-legume Value Chains –A Business Case for Climate-Smart Ag...
Transforming Maize-legume Value Chains – A Business Case for Climate-Smart Ag...
 
L-paper_pulp_mill_case study-ppt (1).ppt
L-paper_pulp_mill_case study-ppt (1).pptL-paper_pulp_mill_case study-ppt (1).ppt
L-paper_pulp_mill_case study-ppt (1).ppt
 
Mobilizing greater crop and land potentials: replacing the faltering engine
Mobilizing greater crop and land potentials: replacing the faltering engineMobilizing greater crop and land potentials: replacing the faltering engine
Mobilizing greater crop and land potentials: replacing the faltering engine
 
Climate smart Agriculture: an introduction - Bruno Verbist (KLIMOS)
Climate smart Agriculture: an introduction - Bruno Verbist (KLIMOS)Climate smart Agriculture: an introduction - Bruno Verbist (KLIMOS)
Climate smart Agriculture: an introduction - Bruno Verbist (KLIMOS)
 
The status and challenges of global soil fertility and the use of fertilizers
The status and challenges of global soil fertility and the use of fertilizersThe status and challenges of global soil fertility and the use of fertilizers
The status and challenges of global soil fertility and the use of fertilizers
 

More from CTBE - Brazilian Bioethanol Sci&Tech Laboratory

More from CTBE - Brazilian Bioethanol Sci&Tech Laboratory (20)

Silicon Importance on Aliviating Biotic and Abiotic Stress on Sugarcane
Silicon Importance on Aliviating Biotic and Abiotic Stress on SugarcaneSilicon Importance on Aliviating Biotic and Abiotic Stress on Sugarcane
Silicon Importance on Aliviating Biotic and Abiotic Stress on Sugarcane
 
From Genotype to Phenotype in Sugarcane: a systems biology approach to unders...
From Genotype to Phenotype in Sugarcane: a systems biology approach to unders...From Genotype to Phenotype in Sugarcane: a systems biology approach to unders...
From Genotype to Phenotype in Sugarcane: a systems biology approach to unders...
 
The Biomass, Fibre and Sucrose Dilemma in Realising the Agronomic Potential o...
The Biomass, Fibre and Sucrose Dilemma in Realising the Agronomic Potential o...The Biomass, Fibre and Sucrose Dilemma in Realising the Agronomic Potential o...
The Biomass, Fibre and Sucrose Dilemma in Realising the Agronomic Potential o...
 
Biological Network Inference via Gaussian Graphical Models
Biological Network Inference via Gaussian Graphical ModelsBiological Network Inference via Gaussian Graphical Models
Biological Network Inference via Gaussian Graphical Models
 
Procedimentos de Interação: CTBE-Indústria
Procedimentos de Interação: CTBE-IndústriaProcedimentos de Interação: CTBE-Indústria
Procedimentos de Interação: CTBE-Indústria
 
Reflexões
ReflexõesReflexões
Reflexões
 
Apresentação do CTBE
Apresentação do CTBEApresentação do CTBE
Apresentação do CTBE
 
Visão Sobre o Documento Base
Visão Sobre o Documento BaseVisão Sobre o Documento Base
Visão Sobre o Documento Base
 
Procedimentos que Regem o Relacionamento CTBE-Indústria
Procedimentos que Regem o Relacionamento CTBE-IndústriaProcedimentos que Regem o Relacionamento CTBE-Indústria
Procedimentos que Regem o Relacionamento CTBE-Indústria
 
Research Program on Sustainability of Bioethanol
Research Program on Sustainability of BioethanolResearch Program on Sustainability of Bioethanol
Research Program on Sustainability of Bioethanol
 
Sugarcane Agroecological Zoning for Ethanol and Sugar production in Brazil
Sugarcane Agroecological Zoning for Ethanol and Sugar production in BrazilSugarcane Agroecological Zoning for Ethanol and Sugar production in Brazil
Sugarcane Agroecological Zoning for Ethanol and Sugar production in Brazil
 
Remote Sensing Satellite Images for Sugarcane Crop Monitoring
Remote Sensing Satellite Images for Sugarcane Crop Monitoring Remote Sensing Satellite Images for Sugarcane Crop Monitoring
Remote Sensing Satellite Images for Sugarcane Crop Monitoring
 
Greenhouse Gas Emissions in the Production Cycle of Bioethanol from Sugarcane...
Greenhouse Gas Emissions in the Production Cycle of Bioethanol from Sugarcane...Greenhouse Gas Emissions in the Production Cycle of Bioethanol from Sugarcane...
Greenhouse Gas Emissions in the Production Cycle of Bioethanol from Sugarcane...
 
Research Program on Sustainability of Bioethanol: Socio economic impacts
Research Program on Sustainability of Bioethanol: Socio economic impactsResearch Program on Sustainability of Bioethanol: Socio economic impacts
Research Program on Sustainability of Bioethanol: Socio economic impacts
 
An Overview of Brazilian Actions Regarding Sustainability of Biofuels
An Overview of Brazilian Actions Regarding Sustainability of BiofuelsAn Overview of Brazilian Actions Regarding Sustainability of Biofuels
An Overview of Brazilian Actions Regarding Sustainability of Biofuels
 
Initiatives Regarding Sustainability of Biofuels in Europe and their Potencia...
Initiatives Regarding Sustainability of Biofuels in Europe and their Potencia...Initiatives Regarding Sustainability of Biofuels in Europe and their Potencia...
Initiatives Regarding Sustainability of Biofuels in Europe and their Potencia...
 
Social Externalities of Different Fuels in Brazil
Social Externalities of Different Fuels in BrazilSocial Externalities of Different Fuels in Brazil
Social Externalities of Different Fuels in Brazil
 
NGO Reporter Brasil´s Experience on Monitoring Social Impacts of Ethanol
NGO Reporter Brasil´s Experience on Monitoring Social Impacts of EthanolNGO Reporter Brasil´s Experience on Monitoring Social Impacts of Ethanol
NGO Reporter Brasil´s Experience on Monitoring Social Impacts of Ethanol
 
Greenhouse Gas (GHG) Emissions Balances of Biofuels
Greenhouse Gas (GHG) Emissions Balances of Biofuels Greenhouse Gas (GHG) Emissions Balances of Biofuels
Greenhouse Gas (GHG) Emissions Balances of Biofuels
 
Energy and GHG emission balances: CTBE´s proposal
Energy and GHG emission balances: CTBE´s proposalEnergy and GHG emission balances: CTBE´s proposal
Energy and GHG emission balances: CTBE´s proposal
 

Recently uploaded

How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 

Recently uploaded (20)

How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 

Sugarcane Physiology Workshop Environments Production Management

  • 1. Environments  of  Produc1on  and   Agronomic  Management   2nd  Sugarcane  Physiology  for  Agronomic  Applica7on  Workshop   JORGE  LUIS  DONZELLI   R&D  Manager   CTC  Sugarcane  Breeding  Program   jorge.donzelli@ctc.com.br   Campinas,  October,  29,  2013  
  • 2. Presenta1on  schedule   Yield  Poten1al  -­‐The  pillars  of  agronomic  produc1on   Defini1on  of  Environments  of  Produc1on   Agronomic  management  -­‐  Varie1es   Agronomic  management  –  Best  Prac1ces   Yield:  where  we  are?   Final  comments  
  • 3. YIELD  POTENTIAL  (Yp)*    “the  yield  of  a  cul7var  when  grown  in  environments  to   which  it  is  adapted,  with  nutrients  and  water  non-­‐ limi7ng,  and  with  pests,  diseases,  weeds,  lodging   and  other  stresses  effec7vely  controlled”            (Evans  and  Fisher  1999)   *  Quoted  by  Paul  H.  Moore,  Physiological  Constraints  of  Sugarcane  Yield  Poten7al,  Centro  de  Tecnologia  Canavieira,  Piracicaba,  2013    
  • 4. The  pillars  of  agronomic  produc1on   CROP YIELD 175 150 DEF.HÍDR. 125 CLIMA Divided  in  5  categories   A-­‐B-­‐C-­‐D-­‐E     MI LÍM ET ROS SOIL EXC.HÍDR. 100 75 50 25 0 CLIMATE   CHUVA EVAP.POT. -25 -50 J F M A M J J A S O N AGRONOMIC   Management D Divided  in  5  categories   I-­‐II-­‐III-­‐IV-­‐V     Divided  in  2  categories   Varie1es  +Best   prac1ces   Objec7ve:    the  problems  of  applica7on  of  best  prac7ces  in  agronomic  management  
  • 5. The  Pillars  of  Agronomic  Produc1on  -­‐  Defini1on  of  Environments  of  Produc1on   Yield  Poten1al  Decrease  from  A  to  E   175 150 DEF.HÍDR. 125 AGRONOMIC   Management EXC.HÍDR. SOIL MI LÍM ET ROS 100 75 50 25 0 CLIMATE   CHUVA EVAP.POT. -25 -50 J F M A M J J A S O N D A TCH MÉDIA DE 4 CORTES  TCH  Average  of  4  cuts   B C 105,0 D E 100,0 95,0 tcana/ha 90,0 85,0 CLIMA 80,0 75,0 70,0 65,0 88/89 89/90 90/91 91/92 92/93 93/94 94/95 SAFRAS Harvest  Season   95/96 96/97 97/98 98/99 99/00 Média
  • 6. The  Pillars  of  Agronomic  Produc1on  -­‐  Defini1on  of  Environments  of  Produc1on   CTC  data  bank   •  24  years  of  sugarcane  yield   •  20-­‐40  years  of  climate  data   “EDAPHOCLIMATIC” ENVIRONMENTS OF PRODUCTION (EEP) 175 150 DEF.HÍDR. 125 EXC.HÍDR. SOIL MI LÍM ET ROS 100 75 50 25 0 CLIMATE   CHUVA EVAP.POT. -25 -50 J AMBIENTES   EDAFOCLIMATICOS SOLOS SOILS   EEP   A B C D E F M A M J J A S O N AGRONOMIC   Management D Clima7c  Regions   REGIÕES  CLIMÁTICAS I II III IV A-­‐I Yie A-­‐II A-­‐III A-­‐IV ld  Po ten B-­‐I B-­‐II1al   B-­‐III B-­‐VI Decr ease C-­‐I C-­‐II C-­‐IIIfro   m C-­‐VI  A–I   to  E-­‐ D-­‐I D-­‐II D-­‐III D-­‐VIV   E-­‐I E-­‐II E-­‐III E-­‐IV V A-­‐V B-­‐V C-­‐V D-­‐V E-­‐V
  • 7. The  Pillars  of  Agronomic  Produc1on  -­‐  Defini1on  of  Environments  of  Produc1on   175 150 DEF.HÍDR. 125 CLIMATE EXC.HÍDR. MI LÍM ET ROS 100 SOIL 75 50 25 0 CHUVA EVAP.POT. -25 AGRONOMIC   Management -50 F M A M J J A S O N D Toneladas Tones  pol/ha  –  Average  of  5  cuts   5 cortes. de Pol por Hectare (TPH), média de 61%   27%   Ambientes de Edaphoclima7c  EProdução Edafoclimáticos nvironments  of  Produc7on   A-V B-V C-V D-V E-V A-IV B-IV C-IV D-IV E-IV A-III B-III C-III D-III E-III 27%   A-II B-II C-II D-II E-II 15,0 14,5 14,0 13,5 13,0 12,5 12,0 11,5 11,0 10,5 10,0 9,5 9,0 8,5 8,0 A-I B-I C-I D-I E-I tpol/ha J
  • 8. The  Pillars  of  Agronomic  Produc1on  -­‐  Defini1on  of  Environments  of  Produc1on   175 150 DEF.HÍDR. 125 MI LÍM ET ROS SOIL EXC.HÍDR. 100 75 50 25 0 CLIMATE   CHUVA EVAP.POT. AGRONOMIC   Management -25 -50 J F M A M J J A S O N WELL  KNONW  FACTORS  OF  CROP  YIELD   D ? Varie7es    +  Best  Agronomic  prac7ces  
  • 9. The  Pillars  of  Agronomic  Produc1on  –  VARIETY  MANAGEMENT   HOW  WE  CHOOSE  VARIETIES  TO  PLANT???   AGRONOMIC   MANAGEMENT   VARIETIES
  • 10. BREEDING PROGRAM FLOW CHART YEAR 1 Germoplasm Bank BREEDING (Camamu/BA) YEAR 1 SEEDLINGS PRODUCTION (Piracicaba/SP) PHASE 1 YEAR 2 to 5 DISEASES TRIALS Phase 4: CTC variety recommendation to planting in many different sites.(SEEDS & PD) CTC’S VARIETIES INITIAL SELECTION (In 18 Experimental Stations ) PHASE 2 YEAR 5 to 8 REGIONAL SELECTION VARIETY TRIALS (18 EXPERIMENTAL STATIONS) Trials in different Environments of Production PHASE 3 TWO CUTS RIPENING CURVES
  • 11. 28  RELEASED  VARIETIES   15-­‐20  %    more  yield  in   specific  sites  
  • 12. VARIETY  RECOMMENDATION   CTC  9001  -­‐  EXAMPLE   5  SOIL   CATEGORIES   HARVESTING  TIME   5  CLIMATE  CATEGORIES  
  • 13. The  Pillars  of  Agronomic  Produc1on  –  AGRONOMIC  BEST  PRACTICES   DEDICATED  TO  EXPLORE  ALL  GENETIC  POTENTIAL  INCORPORATED  BY  THE  BREEDING  PROGRAM   AGRONOMIC   MANAGEMENT   BEST PRACTICES
  • 14. The  Pillars  of  Agronomic  Produc1on  –  AGRONOMIC  BEST  PRACTICES   TPH   Environment  of  Produc1on    B-­‐II     Average  Yield  (ton  Pol)  –  5  cuts  -­‐    Harvest  season    06/07  to  10/11   Fonte  :  Joaquim,  A.C.  et  al  –  Projeto  Sistemas  de  Manejo  Agronômico,  CTC,  2013  
  • 15. The  Pillars  of  Agronomic  Produc1on  –  AGRONOMIC  BEST  PRACTICES   TPH   Environment  of  Produc1on    C-­‐II     Average  Yield  (ton  Pol)  –  5  cuts  -­‐    Harvest  season    06/07  to  10/11   Fonte  :  Joaquim,  A.C.  et  al  –  Projeto  Sistemas  de  Manejo  Agronômico,  CTC,  2013  
  • 16. The  Pillars  of  Agronomic  Produc1on  –  AGRONOMIC  BEST  PRACTICES   TPH   Environment  of  Produc1on    D-­‐II     Average  Yield  (ton  Pol)  –  5  cuts  -­‐    Harvest  season    06/07  to  10/11   Fonte  :  Joaquim,  A.C.  et  al  –  Projeto  Sistemas  de  Manejo  Agronômico,  CTC,  2013  
  • 17. The  Pillars  of  Agronomic  Produc1on  –  WHERE  WE  ARE?   Average,  maximum  and  theore1cal  sugarcane  yields  and  total   dry  maeer  produc1on   (Australia, Colombia, South Africa)   Cane (f wt) (t ha-1 yr-1) Cane (d wt) (t ha-1 yr-1) Percent theoretical maximum Biomass* (RUE)   (t ha-1 yr-1) Biomass (g) per absorbed irradiance, MJ Average (actual) 84 25 27 27%   39 0.78 Commercial maximum (attainable) 148 44 48 69 1.30 Experimental maximum (potential) 212 63 69 98 1.86 308 92 100 142 2.96 Type Maximum (theoretical) Source:  Paul  H.  Moore,  Physiological  Constraints  of  Sugarcane  Yield  Poten7al,  Centro  de  Tecnologia  Canavieira,  Piracicaba,  2013    
  • 18. The  Pillars  of  Agronomic  Produc1on  –  WHERE  WE  ARE?  
  • 19. The  Pillars  of  Agronomic  Produc1on  –  WHERE  WE  ARE?  
  • 20. The  Pillars  of  Agronomic  Produc1on   Final  Comments   •  The  environments  of  produc1on  are  reliable  for  variety  recommenda1on;   •  Un1l  now  the  agronomic  recommenda1ons  –  best  prac1ces  -­‐  are  not  been  used  by   producers  in  a  proper  manner  –  huge  yield  differences  have  been  reported  in  the   same  soil  and  climate  condi1ons  (environments  of  produc1on);   •  Data  survey  (CTC  mutual  control  and  local  observa1ons)  with  producers  have  shown   that  these  yield  differences  are  due  to:     •  i)  lack  of  use  proper  plant  nutri1on;     •  •  ii)  pest  control  and  diseases;   iii)  use  of  flowering  varie1es;   •  iv)  poor  land  prepara1on  and  misuse  of  soil  conserva1on  prac1ces;     •  v)  increase  of  mechanical  harves1ng  with  no  traffic  control  (soil  compac1on   and  traffic  over  plant  rows  –  inter  row  spacement);     •  vi)  use  of  non  suitable  varie1es  for  both  mechanical  harves1ng  and  mechanical   plan1ng;  eg.  RB86-­‐7515;  SP81-­‐3250   •  vii)  mistakes  in  1me  of  plan1ng  and  harves1ng  varie1es  (beginning-­‐middle-­‐ end).  
  • 21. Acknowledgment   Antonio  Celso  Joaquim  –  CTC  Researcher   Fernando  Cesar  Bertolani  –  CTC  Researcher   Jorge  Luis  Donzelli   R&D  Manager    CTC  Sugarcane  Breeding  Program   jorge.donzelli@ctc.com.br