Indo-Gangetic Basin

Overview of Initiative

The Indo-Gangetic Basin is located across the northeastern border of India and includes portions of Bangladesh, Nepal, and Pakistan. The region has seen increased variability in its monsoonal season along with more frequent extreme weather phenomena such as heat waves and intense rainfall. These anomalies can have major impacts on the agriculture industry in this part of the world. Assessing how climate change may play a role in continued seasonal variability going forward is important for future planning.

Phase 2 (2015-2017) applied simulation tools within major farming system ecologies of the central and eastern portions of the region. Through this, linkages between agricultural productivity and impending climate change were better understood. By engaging with stakeholders within the Indo-Gangetic Basin (IBG) region, the Team more accurately understood these linkages and their connections to livelihoods. From here, management and policy strategies were listed out to determine the effective responses to the region’s changing conditions.

The IGB Project expanded stakeholder dialogue during Phase 2. This resulted in meaningful and accurate integrated assessments. At the Meerut and Karnal sites, Phase 2 incorporated the simulation of more crops, while also integrating a livestock component. This integration provided a more in-depth assessment of these locations.

Throughout Phase 2, the IGB team developed stronger research capabilities and connections. In improving the breadth of crops and models used in the assessment, research capabilities of researchers across South Asia were strengthened.

The Team achieved its goals through various methodologies. The Team continued its focus on the economic models, farming systems, and development of RAPs within the region. They also evaluated historical and future climate analysis along with delivering harmonized data. In addition, the team ensured results and research were co-developed with stakeholders.

 

Impacts Explorer – Meerut, India

Vulnerability of rice-wheat small farm households

 

 

Policy Brief: Vulnerability of Farming
Systems in the Upper Gangetic Plains of India

View the Regional Summary for Meerut, India here.

View the Spatial Dashboard forMeerut, India here.  

 

Indo-Gangetic Basin Team members

 

 

Nataraja Subash: Lead PI

Harbir Singh: Lead Economist

Gokul Paudel: Economist

Mohar Singh Meena: Stakeholder liaison

Sohan Vir Singh: Livestock team

 

Balwinder Singh: Crop Modeling

Abeed Hussain Chowdhury: Geo-spatial analysis; Crop modeling

Rajendra Doraj: Crop Modeling

Dinesh Tapa: Economist; Nepal Stakeholder liaison

Kamrul Hassan: Economist

Sohela Aktar: Crop modeler

Gulam Hussain: Crop modeler; Bangladesh stakeholder liaison

 

Research Summary:

 

MEERUT, INDIA

Crops: Rice and Wheat
Models: DSSAT, APSIM, LivSim, and InfoCrop
Farm System: Rice-wheat, livestock
Economic Strata: Single strata (small farms)
Possible Adaptation: Rice – Short duration varieties; Wheat – 10-day advancement of wheat sowing; Short duration varieties – with less water requirement

KARNAL, INDIA

Crops: Rice and wheat
Models: DSSAT, APSIM, LivSim, and InfoCrop
Farm System: Rice-wheat, livestock
Economic Strata: Two strata: with and without livestock
Possible Adaptation: Rice – Short-duration, high-yielding varieties; Wheat – 10-day advancement of wheat sowing

FAIZABAD, INDIA

Crops: Rice and wheat
Models: DSSAT, APSIM and InfoCrop
Farm System: Rice-wheat
Economic Strata: Single strata (small farms)
Possible Adaptation: Sustainable use of water – proper utilization of groundwater to increase productivity; Use of short duration/ high yielding varieties; Balanced/ recommended use of fertilizer

SAMASTIPUR, INDIA

Crops: Rice and wheat
Models: DSSAT, APSIM and InfoCrop
Farm System: Rice-wheat
Possible Adaptation: Sustainable use of water – proper utilization of groundwater to increase productivity; Use of short duration/ hig yielding varieties; Balanced/ recommended use of fertilizer

BANKE-NEPALGANJ, INDIA

Crops: Rice
Models: DSSAT and APSIM
Farm System: Rice-wheat
Economic Strata: Single strata (small farms)
Possible Adaptation: Advance wheat crop sowing by 20 days

DINAJPUR, INDIA

Location: Dinajpur, Bangladesh
Crops: Rice and wheat
Models: DSSAT and APSIM
Farm System: Rice-wheat
Economic Strata: Single strata (small farms)
Possible Adaptation: Wheat: Increase irrigation amount by 50mm

KEY PARTICIPATING INSTITUTIONS

Indian Council of Agricultural Research – Indian Institute of Farming (ICAR-IIFSR)
The Bangladesh Agricultural Research  Council
The Nepal Agricultural Research Council
The International Maize and Wheat       Improvement Center (CIMMYT)
Indian Council of Agricultural Research – National Dairy Research Institute
Indian Council of Agricultural Research  – Agricultural Technology Application Research Institute, Jodhpur