By Parvesh Kr Chandna, Andy Nelson, Zahirul Khan, Moqbul Hossain, Sohel Rana, Fazlur Rashid, M. Mondal, T.P. Tuong Revitalizing the Ganges Coastal Zone Conference 21-23 October 2014, Dhaka, Bangladesh http://waterandfood.org/ganges-conference/

1. Targeting Improved Cropping
Systems in Poverty-Prone Coastal
Zones of South Asia
IRRI
CPWF-G1 Team :
Parvesh Kr Chandna, Andy Nelson, Zahirul Khan, Moqbul Hossain, Sohel
Rana, Fazlur Rashid , M Mondal, T.P Toung

2. Drought - Boro Soil Salinity Water Salinity
Water logging
Mul$ple
Stresses
Flash
Floods
+
Drought
Soil/Water
salinity
+
drought
Salinity
+
drought
+
Zn
Flash
Floods
+
Stagnant
Flood
Status of Zn in Soil
Bhola
Barisal
Patuakhali
Bhola
Barisal
Bhola
Barisal
Bhola
Barisal
May,
2012
KHULNA
BARISAL

3. How to target more efficiently for
accelerated dissemination of
technologies
?
?
?
???
Traditional approach may not work
??
Traditional approach is okay for
regional level planning but how to
target technologies at local level

4. Technology/System
Based
Approach
Extrapolation Domains

5. Study Area:
experimental sites
Study Area
Polder 3,- High saline
zone
Polder 30,- Medium saline
zone
Polder 43/2F - Low saline zone

6. “What Where and When?”
“Data Data Data” and more Data
Extrapolation domains are about

7. Objective:
To develop and refine extrapolation
domain methods and maps to target
improved cropping systems for increased
productivity in coastal zones of
Bangladesh

8. v Study Area
v Material & methods
v Results
v Conclusion & Recommendations
&
v WebGIS, data sharing
IRRI

9. Existing system for validation
(1) Aman – Rabi crop
(2) Aus - Aman
(3) Aman - Shrimp
(4) Year round aquaculture
Innovative systems for targetting
(1) Aman (HYV) - Rabi (HVC)
(2) Aus – Aman - boro
(3) Aus - Aman - Rabi crop
(4) Aman (HYV)-Boro(HYV)
(5) Aus (HYV) – Aman (HYV)
(6) Year round polyculture
(7) Shrimp - Rice
Proposed number of domains to map
Material and methods

10. Aman - boro Water quality and availability in dry season
Description of
Land use
type(technology)
Fresh (< 4dS/m),
ground water
availability and
pumping depth
Month when
river water
still remain
fresh
(<4 dS/m)
Internal
storage
capacity in
relation to land
area
(ML/ha)
Proximity to
river, canal,
ponds (m)
Difference
(m) in high
water level in
Mar and land
surface for
gravity
irrigation (m)
boro rice is seeded
around 15 Nov. (MS)
to 15 Dec (LS). Aman
rice is rain fed. boro
rice is irrigated with
river water (when
fresh) or with water
stored in canal
networks.
Yes, < 6 m S1 March S1 > 5 S1 <50 S1 > 1 S1
Yes, 7 -20
m
S2 Feb S2 2.5 - 5 S2 50-100 S2 0.5 - 1 S2
yes, > 20 S3 Jan S3 1 - 2.5 S3 100-300 S3 0.2 - 0.5 S3
No SN Dec SN <1 SN >300 SN < 0.2 SN
Aman - boro Water quality and availability in wet season
Description of Land
use
type(technology)
Maximum inundation depth
(m) in August (one week)
Maximum inundation
depth (m) for less than 2
weeks in Sep/Oct
Difference (m) in land
surface and low water
level in Sep/Oct for
drainage
Aman HYV rice is
transplanted in July-
August, to be
harvested by the end
of November
(Moderate Salinity
zone) or December
(low saline zone).
< 0.1 S1 < 0.2 S1 > 1 S1
0.1 – 0.2 S2 0.2 – 0.5 S2 0.5 - 1 S2
0.2 – 0.3 S3 0.5 – 0.8 S3 0.2 – 0.5 S3
> 0.3 SN > 0.8 SN < 0.2 SN
S1 = Most Suitable S2 = Suitable S3 = Marginally Suitable SN = Not Suitable
Water requirements for Aman - boro

11. Fresh
groundwater
(< 4dS/m)
Tubewell?
Tubewell
depth
(m)
Month when
river water
(< 3 dS/m)
Storage
capacity (ML/
ha)
Proximity to
fresh SW
source (m)
Suitability for
HYV boro
rice crop
Yes
No
Shallow
Deep
< 6
7 - 20
Mar
Feb
Jan
Dec
> 20
2.5 - 5
1- 2.5
2.5 - 5
1 – 2.5
< 100
> 100
< 100
> 100
< 100
> 100
< 100
> 100
S1
S1
S2
S3
S1
S1
S2
S2
S3
S2
S3
S3
SN
SN
Groundwater Surface water

12. Irriga$on
with
GW
1
Fresh
(<
4dS/m)
ground
water
availability
2
Ground
water
pumping
depth
Irriga$on
with
SW
3
Latest
month
when
river
water
<3
dS/m
4
Maximum
river
water
salinity
in
April/May
5
Maximum
river
water
salinity
in
August
6
Difference
in
high
water
level
in
April
and
land
surface
for
gravity
irrigaKon
7
Difference
in
high
water
level
in
March
and
land
surface
for
gravity
irrigaKon
8
Difference
(m)
in
land
surface
and
high
water
level
in
Mar/Apr
for
irrigaKon
9
Storage
capacity
10
Proximity
to
river,
canal,
ponds,
for
irrigaKon
Drainage
11
Proximity
to
river,
canal,
for
drainage
12
Maximum
inundaKon
depth/land
type
13
Maximum
inundaKon
depth
for
>
three
days
in
May
14
Maximum
inundaKon
depth
in
September/October
15
Maximum
inundaKon
depth
for
>
one
week
in
September/October
16
Maximum
inundaKon
depth
for
>
two
weeks
in
September/October
17
Difference
in
land
surface
and
low
water
level
in
May
for
drainage
18
Difference
in
land
surface
and
low
water
level
in
September/October
for
drainage
Soil
19
Soil
texture
20
Soil
pH
21
Soil
salinity
gher
water
22
lowest
water
salinity
during
January
and
highest
during
April
(ppt)
23
InundaKon
depth/land
type
Climate
24
Weekly
air
minimum
temperature
at
stocking
25
Weekly
mean
minimum
air
temperature
in
January
26
Two-­‐week
mean
air
temperature
in
December
and
January
27
CumulaKve
rainfall
in
July
&
August
Social
and
economic
28
Livelihood/asset
index
29
Technology
adopKon
index

13. Soil pHSoil texture
Min temp – 8th-14th Feb Soil salinity Water salinity
Example:
Input
datasets
Flood inundation depth
IRRI

14. Percentage of small farms, <1ha Percentage of leased land
Through our partners we have obtained the 2011 population and 2008
agricultural census’ at village level. This is a huge and still untapped resource.
Example:
Input
dataset
IRRI
Values in percent

15. Results
IRRI

16. Results Improved systems…
Not Suitable
Marginal Suitable
Marginally suitable = 330,000 ha
Suitable area = 180,000 ha
IRRI
300-500 M USD/Yr additional income by
introduction of drought tolerant cultivar
in Boro season or rabi crop
GIS Lab, SSD, IRRI- Parvesh Kr Chandna@2014 – Unpublished

17. Results Improved systems…
Extrapolation Domains : Aus (HYV)-Aman (HYV)-Rabi
cropping system
Not Suitable
Marginal Suitable
Marginally suitable = 500,000 ha
Suitable area = 16,000 ha
IRRI
GIS Lab, SSD, IRRI- Parvesh Kr Chandna@2014 – Unpublished

18. Extrapolation Domains at Polder Level
Aman (HYV) Conflict area : rice and shrimp farmersAman (HYV)–Boro(AYV)
Year Round AquacultureShrimp -AmanAus (HYV)
Polder 44

19. Livelihood
Index
Z score values
GIS Lab, SSD, IRRI- Parvesh Kr Chandna@2014 – Unpublished
Approximate 2149 villages are
categorized under low or very low
livelihood levels
IRRI

20. Improved Targeting – Extrapolation domains for Aman (HYV)-Boro(HYV)
Preference zoning for woman led targeting
Preference zones
GIS Lab, SSD, IRRI- Parvesh Kr Chandna@2014 – Unpublished

21. Recommendations
v Extrapolation domains of different cropping systems
facilitate improved & accelerated targeting which can
lead to higher cropping intensity and productivity and
income
There is a need of paradigm shift from
traditional to system/technology based
approach for targeting technologies

22. WebGIS – http://gangesriverbasin.blogspot.com

23. Remote
Sensing/GIS
based
methods
developed
in
the
project
has
impact
across
the
region,
organizaKons
and
projects
-­‐
Suitable
for
South
and
South-­‐east
Asia
-­‐
STRASA,
CSISA
and
many
other
mega
projects
-­‐
High
demand
of
products
from
NaKonal
and
InternaKonal
Partners
Scope
and
Poten$al
Impact
Project
personnel
and
their
ins$tu$ons
IRRI(Lead
Centre)
-­‐
Andy
Nelson
,
Parvesh
Kr
Chandna
and
TP
Toung
Na$onal
Partners
Soil
Research
Development
InsKtute
(SRDI),
Bangladesh
-­‐
Moqbul
Hossain
InsKtute
of
Water
Modeling
(IWM),
Bangladesh
-­‐
Zahirul
Khan
Bangladesh
Water
Development
Board
(BWDB),
Bangladesh
-­‐
Fazlur
Rahid
Local
Government
Engineering
Department
(LGED),
Bangladesh
-­‐
Sohel
Rana
IRRI

24. Thank you
IWM LGED IRRI SRDI BWDB