Crop Modeling for better Agro Advisories D. Raji Reddy and K.M. Dakshina Murthy
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Transcript of Crop Modeling for better Agro Advisories D. Raji Reddy and K.M. Dakshina Murthy
Crop Modeling for better Agro Advisories
D. Raji Reddy and K.M. Dakshina Murthy
Agro Climate Research Center, Agricultural Research Institute
Acharya N G Ranga Agricultural University, Rajendranagar, Hyderabad - 30
’
• Agro-meteorological information helps the farmer to make the most efficient use of natural resources
• Important to supply agro-meteorological information blended with weather sensitive management
• Climate uncertainty and variability –needs to inform the farming community through agro advisories on real time basis
Introduction
ACRC Ranga Reddy, MedakRajendranagar 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
Chief Sec.
Farmer
Flow chart for disseminationof Integrated Agro Advisory bulletin
in ANGRAU
Print & Electronic
media
Agro Advisory Bulletin
Agril.MinisterAgril.Sec.C & DA
JDAs
AOs
Univ. officers
Agromet website
AEOs
Integrated Agromet Advisory* Services at ANGRAU
AAS Unit Districts
*Issued on every Tuesday and Friday valid for next 4 days
NGOs
Farmers club
•Complement field experiments and historical yield data
•Provide excellent information on how crops react to climate change and climate variability
•Provide input to economic models for impact assessment, food security, policy analyses
Increasing demand for crop model use
•Combine with regional / global climate models
•Combine with hydrological models
•Determine best management practices for economic and environmental decision making
• 1.1 billion people
• 2,39,491 Panchayats and 600,000 Villages
• 70% population rural
• Diversity – language, culture, religion
• Diversified farming and cropping systems
• Difficult to reach each Panchayats individually
How to reach the farmers effectively ??????
- “ICT-based advisory services”
Indian sub continent
• The Indian smartphone market in 2009 is
estimated at 2.1 million pieces
• Penetration of smartphones is estimated to
have grown from 1% at end 2009 to over 4%
by Nov 2010
(source : The Economic Times)
• Can effectively used for dissemination of
advisories
crop related information received from Satellite
(RS &GIS)
Delivery of Agro Advisories to
Stakeholders and farmers
Crop models
Ground tooth information
Analysis and generation of crop
specific Agro Advisories by
experts
Weather forecast by India Meteorological Department
SMS/ MMS
advisoriesemail
web
Mass
media
Few experiences
Bulletins based on farming situations
• Bulletins were issued keeping in view the farming situation in mind instead of regular crop advises. Separate advisories were issued for rainfed cotton and irrigated cotton grown under different soils
Cotton
Red and black soils- rainfed
• By taking advantage of recent rains, farmers can go for application of 30-35 kg urea and 10 kg Muraite of Potash at 40, 60 and 80 days after sowing.
• Frequent intercultivation operations may be done to control weeds and water conservation.
Red and black soils with limited irrigation• By taking advantage of recent rains, farmers can go for application of 30-35 kg urea and 10 kg Muraite of Potash at 40, 60 and 80 days after sowing.
End result: More clarity, effective and advantageous
Date of sowing / risk management option
Grain yield (kg/ha)
% Dev. over rainfed
26 June- Rainfed
1819 -
26 June - Nitrogen top dressing + Supplemental irrigation at floral initiation
3917 115.3
Simulated grain yield of maize using CERES- Maize under different climate risk adaptation strategies at Ippalapalli in Mahabubnagar district
0102030405060708090
100
0 1000 2000 3000 4000 5000 6000 7000
Prob
abili
ty
Seed cotton (kg/ha)
Gorita cotton yields for strategically irrigated crops - historical and future climate
Historical ECHAM5 GFDLCM21
0102030405060708090
100
0 1000 2000 3000 4000 5000 6000 7000
Prob
abili
ty
Seed cotton (kg/ha)
Gorita cotton yields for rainfed crops- historical and future climate
Historical ECHAM5 GFDLCM21
0102030405060708090
100
0 1000 2000 3000 4000 5000 6000 7000
Prob
abili
ty
Seed cotton (kg/ha)
Gorita cotton yields for rainfed and strategically irrigated crops- historical climate
Rainfed Strategic irrigation
STRATEGIC IRRIGATION: A CURRENT AND FUTURE CLIMATE ADAPTATION TO SECURE COTTON
YIELDS IN GORITA, AP INDIA
• Gorita, Andhra Pradesh, India (16.63oN, 78.16oE)
• Irrigation treatment: 50mm was applied at 50% PAWC with at least 14 days between irrigations and a maximum of 3 irrigations per season
• Climate scenarios– Historical (1978-2008)– ECHAM5 (2021-2040)– GFDLCM21 (2021-2040)
0102030405060708090
100
0 1000 2000 3000 4000 5000 6000 7000 8000 9000
Prob
abili
ty
Rough Rice Yield (kg/ha)
Gorita yields for crops grown using current farmer practice - historical and future climate
Historical ECHAM5 GFDLCM21
GORITA RICE YIELDS - HISTORICAL AND FUTURE
• Gorita, Andhra Pradesh, India (16.63oN, 78.16oE)
• ANGRAU practices: Best conventional practice as recommended by Acharya N G Ranga Agricultural University (ANGRAU)
• Climate scenarios– Historical (1978-
2008)– ECHAM5 (2021-
2040)– GFDLCM21 (2021-
2040)
THANK YOU
Agro Climate Research Center Team
Dr. D. Raji Reddy, PhDDirector
Dr. K.M. Dakshina Murthy , PhDScientist (Agronomy)
Dr. R. Sunitha Devi, PhDScientist (Entomology)
Dr SG. MahadevappaScientist (Agronomy)
Contact UsPhone: +91 4024016901Email: [email protected]: www.angrau.ac.in ANGRAU