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.
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, 2 005 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.
Sustainable intensification practices, such as intercropping maize with grain legumes, are essential for smallholder farmers in southern Africa to address climate change and declining soil fertility. A study in Zambia compared different diversification strategies (single-row intercropping, strip cropping, and crop rotation) with sole maize. The results showed that while there were no significant differences in individual yields, intercropping systems provided important nutritional and economic benefits. However, these systems required more labor, which was not preferred by farmers. Soil organic carbon content and pH generally decreased without differences between systems. In summary, maize-legume intercropping can improve food security and agricultural benefits, although it requires more labor, which could be addressed with appropriate mechanization.
Dataset processed from a household-level survey to describe the main farm characteristics, production, and resource allocation in two municipalities across three regions of the country: Surkhet (Gurbhakot) and Khotang (Tuwachung) districts. Data was collected between March and June 2023.
Dataset processed from a household-level survey to describe the main farm characteristics, production, and resource allocation in two municipalities across three regions of Bangladesh: North (Dinajpur, Nilphamari, Rangpur), West (Nawabganj, Rajshahi), and South (Barguna, Barisal, Patuakhali). Data was collected between December 2022 and June 2023.
This report presents the synthesis of household level surveys in five intervention countries (Angola, Malawi, Mozambique, Zambia, and Zimbabwe) of the Drought Tolerant Maize for Africa (DTMA) project designed and implemented by the International Maize and Wheat Improvement Center (CIMMYT), International Institute for Tropical Agriculture (IITA) and national research and extension institutions in 13 countries of Sub-Saharan Africa (SSA). In each of the study countries, two districts were randomly selected provided that the districts fall in predetermined categories (20-40%) of probability of failed season (PFS). A total sample of 1108 households was randomly drawn with sample sizes varying country to country. The report has different sections that focus, in order, on description of the sample households, extent and determinants of poverty and inequality among the sample population, characteristics of maize production, perception and management of drought risk, and determinants of likelihood and intensity of adoption of improved maize varieties.
Processed dataset from a household-level survey describing the main farm characteristics, production, and resource allocation in two municipalities. The survey covers 300 farms across three districts (Kham, Moke, and Nonghet) in Xieng Khouang Province, collected between December 2023 and May 2024.