Free, open access repository of research data produced as part of the Cereal Systems Initiative for South Asia (CSISA) project.
Cereal Systems Initiative for South Asia
Studies: 10
Last Released: Sep 18, 2017
Maize crop cut data from Odisha plateauby Wasim Iftikar; Nabakishore Parida; Anurag Ajay

Maize crop cut data from farmer's field collected at Odisha plateau ecology.

Last Released: Sep 6, 2017
Nepal Rice Crop Cut & Survey Data 2016by Gokul Paudel; Shashish Maharjan; David Guerena; Ashok Rai; Andrew James McDonald

The major objectives of this rice crop cuts and survey were to:

(i) identify major rice yield determinants in western terai districts of Nepal and

(ii) to identify major determinants that describe the variability in rice yield across farms thereby linking with farm characteristics and socio-economic gradients.

This study uses Remote Sensing (RS) data particularly the NDVI (Normalized Difference Vegetative Index) value extracted from LandSat satellite images in each of the six districts (Kanchanpur, Kailali, Bardyia, Banke, Kapilbastu and Rupendhai). Since the resolution of LandSat satellite was better than MODIS; we used LandSat derived NDVI values to capture the variability in standing green biomass (a proxy for yield) so that sample selected will represent this variability in NDVI values. In each of the districts we saw a normal distribution of NDVI and samples were selected randomly by stratifying the NDVI values into four quartiles of bell curve, so that selected sample will represent proportionally the bell curve quartiles.

The study contains several optional modules questions and mandatory modules. The mandatory modules give the broader insights on input uses across farms while the optional module provides better insight on each input uses for example; fertilizer use details, irrigation dynamics, weed management and socio-economics gradients particularly based on income and expenditure of households. The optional module is accompanied by the crop cuts data which was done in three quadrants of each plot with 2*2=4 meter square area.

The sample size for this survey is 1052 households and the inputs use were asked for largest rice grown plots as farms may have multiple plots and inputs use might be different in different plots. Out of the total samples of 1052; a set of (~12%; 126 samples) households participated in optional modules to get the detail data on irrigation dynamics, weed management and socio-economics parameters.

Last Released: Jun 22, 2017

The advent of cheap smartphones in rural areas across the globe presents an opportunity to change the mode with which researchers engage hard-to-reach populations. In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key measures of household and community wellbeing. In this paper, we present early results from a pilot study in rural Bangladesh using a ‘microtasks for micropayments’ model to collect a range of community and household living standards data using Android smartphones. We find that more frequent task repetition with shorter recall periods leads to more inclusive reporting, improved capture of intra-seasonal variability, and earlier signals of events such as illness. Payments in the form of mobile talk time and data provide a positive development externality in the form of expanded access to mobile internet and social networks. Taken to scale, programs such as this have potential to transform data collection in rural areas, providing near-real-time windows into the development of markets, the spread of illnesses, or the diffusion of ideas and innovations.

Last Released: May 17, 2017
A Biophysical and Socioeconomic Characterization of the Cereal Production Systems of Northwest Bangladeshby Prabhakaran T. Raghu; Sreejith Aravindakshan; Frederick Rossi; Vijesh Krishna; Elahi Baksh; Azahar Ali Miah

This data was collected as part of the Cereal Systems Initiative for South Asia (CSISA) (Phase-I) project, with an objective to assesses cereal production in selected areas of NW-Bangladesh, especially with respect to the biophysical and socio-economic characterization of the cereal producing farm households.

Last Released: Apr 13, 2017

Under CSISA Phase II, Nutrient Omission Plot Technique (NOPT) trials were conducted in eight districts of Bihar, ten districts of Uttar Pradesh and ten districts of Odisha. Partner institutions include Bihar Agriculture University (BAU), Banaras Hindu University (BHU), Orissa University of Agriculture and Technology (OUAT), Central Rice Research Institute (CRRI), Odisha.

Last Released: Apr 5, 2017

To achieve the fallow intensification objective of Cereal Systems Initiative for South Asia (CSISA) project, farm level data collection was designed to understand the multi-level factors affecting farm trajectories of change and potential for sustainable intensification in Southern Bangladesh.

The data comprise farm household level panel data for the years 1995, 2000, 2005, 2010 and 2015 from 502 samples in three districts of Southern Bangladesh (Barisal, Patuakhali and Barguna). The surveyed households belong to thirteen villages in the above three districts. The balanced panel data was compiled by combining existing information on farms with a 2015 farm survey. Farm level information of farmers continuously intervened by CIMMYT’s partner NGOs was available for years 1995, 2000, 2005 and 2010. This unique dataset was compiled as part of the Cereal Systems Intensification for South Asia (CSISA) project implemented by CIMMYT and Analyzing Trajectories and Trade-offs for Intensification of Cereal-based Systems (ATTIC) project of Wageningen University.

The data was cross-checked and validated through a series of focus-group discussions and interviews with village elders, and oldest member of the family. The village level population in the data is estimated for years 1995, 2000, 2005, 2010 and 2015 based on the population growth rates and census data (1991, 2001, and 2011) provided by Bangladesh Bureau of Statistics (BBS), Dhaka.

Last Released: Feb 28, 2017

The purpose of the study was

(1) to assess the performance of ZT wheat as compared to conventional-tillage wheat in farmers' fields in six CSISA target districts in Bihar;

(2) to assess farmers’ resource endowment, risk exposure, risk preferences, and risk management practices;

(3) based on (2), to identify influencing factors of farmers' awareness and adoption of ZT in wheat, including social network effects.

Last Released: Feb 15, 2017

The purpose of the study was

(1) to assess the economic viability of custom-hire service for ZT in CSISA's target districts in Bihar, the development of ZT service provision businesses over time, and constraints to further business expansion;

(2) to assess service providers’ resource endowment, risk exposure, risk preferences, and risk management practices;

(3) based on (2), to identify influencing factors of engaging in ZT service provision, including influencing factors of the scale of the service business operation.

37 downloads + analyses
Last Released: Feb 15, 2017
Replication data for: Cereal Systems Initiative for South Asia (CSISA) Baseline Household Survey 2010-2011by Valerien O. Pede; Vijesh Krishna; Nils Teufel; Patrick S. Ward; Takashi Yamano; Arindam Sammadar; David J. Spielman; Surabhi Mittal; Thelma Paris; Dhiraj Singh; Vartika Singh; Subash Ghimire; Meerah Mehrotra

The Cereal Systems Initiative for South Asia (CSISA) was launched in 2009 with support from the Bill and Melinda Gates Foundation (BMGF) and the United States Agency for International Development (USAID). CSISA's objective is to develop and deploy more efficient, productive and sustainable technologies for the diverse rice-wheat production systems of the Indo-Gangetic Plains (IGP) that ultimately improve food supply and improve the livelihoods of the poor in the region.

The CSISA Baseline Household Survey was conducted in late 2010 and early 2011 across eight of the hub domains in which CSISA was operating during its initial phase. The household survey was designed to inform CSISA management as well as to establish a priori conditions (farming practices, farmer livelihoods, etc.) against which the social, economic and livelihood impacts of CSISA will be evaluated. Pursuant to these objectives, a structured questionnaire was developed in a joint effort of socio-economists from different centers of the CGIAR, as well as agronomists and hub managers. In all, the baseline household survey collected data on 2,567 households across the CSISA hub domains of Haryana, Punjab, eastern Uttar Pradesh, Bihar and Tamil Nadu in India; Dinajpur and Gazipur in Bangladesh; and the Terai region of central Nepal.

Analysis of the baseline data finds that:

The CSISA coverage area is highly diverse in terms of climatological and agro-ecological conditions, cropping patterns, livestock management, land holdings, production practices, yields and other variables. This reinforces the initiative’s site- and context-specific approach to effecting change, but complicates the evaluation of impact across the entire coverage area.

CSISA targeting is generally reflective of the surrounding population in the hub domain. However, evidence of more explicit targeting (e.g., of women-headed households or other vulnerable groups) was found only in the Gazipur hub.

Whereas findings suggest that labor-saving technological change may be a priority in the northwestern hubs (Punjab, Haryana), productivity-enhancing technological change that intensifies production on small landholdings may be a priority for most other hubs.

Poverty and inequality measures indicate significant levels of vulnerability in the Nepal Terai, Bangladesh, eastern UP and Bihar. This may indicate a need for some re-prioritization of CSISA work in favor of Nepal, provided that CSISA’s technologies and approaches are appropriate to its needs.

The role of women in agriculture varies widely across the CSISA hub domains, and is determined largely by social status and social constructs. In general, women provide vital inputs into agricultural production, both in terms of labor as well as decision-making. The complexities of these issues suggest the need for more rigorous analysis regarding gender gaps in access to technical knowledge and information, inequalities in participation in key decision-making processes, as well as the impacts of the RCTs that are being promoted under CSISA. This may necessitate the collection of gender-disaggregated data for constraints analysis, technology prioritization among different household types and careful consideration in the design, implementation and evaluation of impact assessments.

Familiarity with RCTs is most limited in Bihar and other eastern hub domains, suggesting the obvious potential for expanding CSISA activities in these areas. That said, sources of information on RCTs are quite domain-specific and vary significantly between CSISA, input retailers and friends/neighbors.

There is evidence from the baseline survey to suggest that while non-adoption is largely driven by insufficient information about several RCTs, disadoption driven by poor yield performance and other factors is a non-trivial phenomenon in the CSISA domains.

Last Released: Feb 15, 2017