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FOCUS OF AGROMETEOROLOGICAL RESEARCH IN ANGRAU. Dr. D. Raji Reddy Principal Scientist (Agrometeorology). Agrometeorology Cell, Agricultural Research Institute Acharya N G Ranga Agricultural University, Rajendranagar, Hyderabad - 30. AGRO CLIMATIC ZONES OF THE STATE. - PowerPoint PPT Presentation
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FOCUS OF AGROMETEOROLOGICAL RESEARCH IN ANGRAU
Dr. D. Raji ReddyPrincipal Scientist (Agrometeorology)
Agrometeorology Cell, Agricultural Research Institute
Acharya N G Ranga Agricultural University, Rajendranagar, Hyderabad - 30
Nalgonda
Mahabubnagar
Ranga Reddy
Medak
Warangal
40 0 40 KilometersDistricts
MahabubnagarMedakNalgondaRanga ReddyWarangal
N
South Telangana agro-climatic zone
AGRO CLIMATIC ZONES OF THE STATE
Region
Southwest monsoon
Northeast monsoon
Total (mm)mm % mm %
North Telangana 825 82 113 11 1004
South Telangana 580 75 127 17 774
South Coastal A.P. 482 51 378 39 948
North Coastal A.P. 702 64 269 24 1104
Rayalaseema 394 57 229 32 702
Andhra Pradesh 621 67 216 23 923
Seasonal rainfall distribution in different regions of Andhra Pradesh (1960 to 2007)
600
700
800
900
1000
1100
1200
1300
Rai
nfal
l (m
m)
Annual rainfall (mm) trend in Andhra Pradesh
Trend line
Mean Rainfall
0
50
100
150
200
250
JUN JUL AUG SEP OCT
1968-87 1988-07
PD
(m
m)
Rayalaseema
0
50
100
150
200
250
JUN JUL AUG SEP OCT
1968-87 1988-07
PD
(m
m)
North Telangana
0
50
100
150
200
250
JUN JUL AUG SEP OCT
1968-87 1988-07
PD
(m
m)
South Telangana
0
50
100
150
200
250
JUN JUL AUG SEP OCT
1968-87 1988-07
PD
(m
m)
South Coastal A.P
0
50
100
150
200
250
JUN JUL AUG SEP OCT
1968-87 1988-07
PD
(m
m)
North Coastal
0.0
50.0
100.0
150.0
200.0
250.0
JUN JUL AUG SEP OCT
1968-87 1988-07P
D (
mm
)Andhra Pradesh
Dependable rainfall (mm) in different regions of Andhra Pradesh
Rainfall (mm) departure of Telangana region during last decade (1998-07) over the mean of three decades (1968-97)
-17
-48
-73-63
-146
-117
-63
-180-200
-180
-160
-140
-120
-100
-80
-60
-40
-20
0
20
40
ADB NZB KRM WGL KMM MDK NLG MHB HYD
Rai
nfa
ll d
epar
ture
(m
m)
Districts
Climatic Water balance at Rajendranagar
0
5
10
15
20
25
30
35
40
45
50
55
60
22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 1 2 3 4 5 6 7 8
Week No.
Rajendranagar Rainfall Rajendranagar PET
Climatic Water balance at Rudrur
0
5
10
15
20
25
30
35
40
45
50
55
60
65
70
22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 1 2 3 4 5 6 7 8
Week No.
Rudrur Rainfall Rudrur PET
Relationship between September rainfall and grain yield
of Maize in Medak district
0
500
1000
1500
2000
2500
3000
3500
4000
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
Year
Yie
ld (
kg/h
a)
0
50
100
150
200
250
Rai
nfa
ll (
mm
)
Rainfall Yield
Correlation coefficients between the rainfall predicted by different models and observed
ECHAM COLA CCM NCEP GSCF
June -0.204 -0.488 -0.297 -0.063 0.029
July 0.039 0.168 0.121 -0.019 -0.087
Aug 0.446 0.345 -0.196 0.132 -0.049
Sept 0.281 0.273 0.215 0.122 0.127
Oct 0.182 0.232 0.006 0.084 0.366
Jun-Jul -0.359 -0.063 0.030 -0.030 -0.017
Jul-Aug 0.494 0.435 -0.070 0.127 -0.002
Aug-Sept 0.589 0.466 0.152 0.244 0.159
Jun-Jul-Aug 0.425 0.351 -0.060 0.123 0.015
Jul-Aug-Sept 0.605 0.528 0.191 0.203 0.148
Jun-Jul-Aug-Sept 0.569 0.470 0.236 0.188 0.163
Whole Year 0.552 0.363 -0.030 0.179 0.127
Maize: Comparison of the grain yield of maize cv. Proagro simulated by the model with the hindcast and observed weather data.
Maize cv. Proagro
3000
4000
5000
6000
7000
8000
1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
Years
Yie
ld (
kg/h
a)
CCMCOLAECHAMGFCSNCEPOBSERVED
Effect of drymatter at heading and solar radiation during ripening on grain yield of rice
456789
10
250 300 350 400 450 500 550 600 650 700 750
Productivity index (Wo*SR)
Grain yield (t/ha)Y=1.26+0.0123X
r=0.8271
Relationship between WRSI and pod yield of groundnut
0
500
1000
1500
2000
2500
80 85 90 95 100
Water Requirement Satisfaction Index
Po
d y
ield
(kg
/ha)
Y=-6400+83 X (R2=0.84)
Rainfall Deviation for the week ending 11.06.2008
Adilabad
KarimnagarNizamabad
Medak
Ranga ReddyNalgonda
Warangal
Khammam
East Godavari
Visakhapatnam
VizianagaramSrikakulam
West Godavari
KrishnaGuntur
Prakasam
Mahabubnagar
Kurnool
KadapaSPS Nellore
Anantapur
Chittoor
200 0 200 Kilometers
Rainfall TrendNo RainScantyDeficitNormalExcess
N
EW
S
Rainfall Deviation for the week ending 16.07.2008
Adilabad
KarimnagarNizamabad
Medak
Ranga ReddyNalgonda
Warangal
KhammamEast Godavari
Visakhapatnam
VizianagaramSrikakulam
West Godavari
KrishnaGuntur
Prakasam
Mahabubnagar
Kurnool
KadapaSPS Nellore
Anantapur
Chittoor
200 0 200 400 Kilometers
Rainfall TrendNo RainScantyDeficitNormalExcess
N
EW
S
406.7
605.0
318.2
557.5
296.5
580.0
208.1
562.5
0
100
200
300
400
500
600
700
800
900
1000
1100
1200
1300
Wat
er (
mm
)
June 16th June 26th July 7th July 18th
Irrigation water (mm)
Effective rainfall (mm)4.97 t ha-1
4.88 t ha-1 4.82 t ha-1
4.11 t ha-1
Relationship between total water received and grain yield of
Aerobic rice in different dates of sowing
Comparative grain yield (t/ha) of MTU-1010 simulated by CERES rice and WOFOST under different dates of planting at RARS,
Jagtial
0
2000
4000
6000
8000
D1 D2 D3
In-se ason and e nd se ason yie ld pre dicte d by C E R ES and harv e ste d yie ld at R AR S, Jagtial during kharif,
2008
25-S e p Ha rve st Actua l
Yie
ld (
Kg
/ h
a)
Cotton
0
100
200
300
400
500
600
700
800
0 20 40 60 80 100 120 140 160 180 200
Fertiliser applied (kg N/ha)
Lin
t (k
g/h
a)
Bairanpally Srirangapur
Cotton 60N
0
1
2
3
4
5
6
7
1965 1970 1975 1980 1985 1990 1995 2000 2005
Year
Bale
s o
f lin
t /h
a
Bairanpally Srirangapur
Cotton 140N
0
1
2
3
4
5
6
7
1965 1970 1975 1980 1985 1990 1995 2000 2005
Year
Bale
s o
f lin
t /h
a
Bairanpally Srirangapur
Cotton 200N
0
1
2
3
4
5
6
7
1965 1970 1975 1980 1985 1990 1995 2000 2005
Year
Bale
s o
f lin
t /h
a
Bairanpally Srirangapur
Simulated grain yield (t/ha) of rice under different climate change scenarios
Simulated grain yield (t/ha) of rice under different climate change scenarios
Simulated grain yield (t/ha) of rice under different climate change scenarios
Simulated grain yield (t/ha) of rice under different climate change scenarios
Simulated grain yield (t/ha) of rice under different climate change scenarios
Simulated grain yield (t/ha) of rice under different climate change scenarios
Changes in temperature(0C) and CO2 at
different levelSimulated grain yield
(kgha-1) % Change from Normal
450 ppm Early Timely Late Early Timely Late
1 4136 4717 5207 -12 -12 -9
Normal 4695 5360 5727 0 0 0
-1 5390 6302 6230 15 18 9
600 ppm Early Timely Late Early Timely Late
1 4572 5185 5606 -12 -11 3
Normal 5169 5826 5449 0 0 0
-1 5866 6512 6463 13 12 19
Combined effect of changes in temperature and CO2 levels on grain yield of Rabi jowar
Trend in maximum temperature at Rajendranagar from 1965-2004
31.0
31.5
32.0
32.5
33.0
33.5
1965
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
Year
Max
imum
tem
pera
ture
(O
C)
Trend in minimum temperature at Rajendranagar from 1965-2004
17.5
18.0
18.5
19.0
19.5
20.0
20.5
21.0
1965
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
Year
Min
imum
tem
pera
ture
(O
C)
Heat wave - 2003
Case study in Andhra Pradesh
Max.Temp (Deg C)< 3838-4040-4242-4444-4646-48> 48
27-05-2003 28-05-2003 29-05-2003
30-05-2003 31-05-2003
Maximum temperature distribution during severe heat wave conditions of 2003 in A.P.
Heat Wave (2003) - Damage to Mango Orchard
Custard Apple is tolerant to High temperatures
Fig 4. BPH populations in September (1993-2006) predicted using cummulative August Rainfall
0
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
Sept_BPH
SEP BPH PRED
Fig 3. Cummulative August rainfall and Light trap populations of BPH in September at Maruteru (1993-2006)
99.3114
184 186.8
85.3
432.7
192.5
362
130.1
176.8
95
133.5
196.3 192.4
0
50
100
150
200
250
300
350
400
450
500
1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
Cu
mm
ula
tiv
e R
ain
fall (
mm
) o
f A
ug
us
t
0
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
Cu
mm
ula
tiv
e L
T p
op
ula
tio
n o
f S
ep
tem
be
r
Aug_RF
Sept_BPH
2001 and 2004 BPH less despite 130mm: 3rd and 4th weeks of August - both years rainfall less, SSH more.
Relationship between incidence of mango hopper(Amritodus atkinsoni) and mean
maximum temperature
Y = 49.8 -1.4354x
R2 = 0.7384
-4-202468
1012141618
20 25 30 35 40
Mean maximum temperature(0c)
Mea
n N
o.o
f h
op
per
son
tru
nk
in 3
0cm
are
a
Regression model for mango leaf webber (Orthaga euadrusalis) and mango hopper (Amritodus atkinsoni)
Pest Regression equation R2
Mango leaf webber Y = 4.45 – 1.714 X1 + 0.418 X2 0.76
Y = Number of leaf webs/tree X1 = Mean minimum temperature (oC) recorded
during the preceding week of observation X2 = Mean forenoon relative humidity (%)recorded
during the preceding week of observation Mango hopper Y = 31.690 – 1.025 X1 + 0.1096 X2 0.84
Y = Number of hoppers on trunk in thirty square centimeter area X1 =Mean maximum temperature (oC) recorded
during the preceding week of observation. X2 = Mean relative humidity afternoon (%) recorded
during the preceding week of observation
Weather based agro-advisories
WEATHER BASED AGRO-ADVISORIES
Websiteagromet.ap.nic.in
Chief Sec.
Farmer
AAS bulletin dissemination
Print & Electronic
media
AAS Bulletin
Agril.Minister Agril.Sec.C & DA
JDAs
AOs
Univ. officers
Agromet website
AEOs
Agrometeorological Advisory* Services in
ANGRAU
AAS Unit Districts
Agromet – Cell Ranga Reddy, Medak Rajendranagar Mahabubnagar&Nalgonda
RARS, Jagtial Karimnagar, Warangal, Khammam, Adilabad & Nizamabad
RARS, Anakapalle Visakhapatnam, Vizianagaram and Srikakulam
RARS, Chintapalli High altitude &Tribal areas
RARS, Lam Guntur, Krishna, Prakasam, East & West Godavari
RARS, Tirupati Chittoor, S.P.S. Nellore and Kadapa
A.R.S, Anantapur Anantapur and Kurnool
*Issued on every Tuesday and Friday valid for next 4 days