Smallholder Adaptive Farming and Biodiversity Network (SAFBIN)

SAFBIN is an action research programme from Caritas Organisations to address the issues of climate change and food security of smallholder farmers in South Asia. The programme aiming to achieve SDG 2, is inspired by the achievements and mutual learning process of the Caritas Partners in a successful previous phase of regional programme under the European Union Global Programme on Agriculture Research for Development (ARD).

SAFBIN is a multi-dimensional and multi-sector programme aimed to address the agricultural development challenges of developing and emerging countries. The innovative models piloted by the smallholder farmers from five rainfed Agro-Ecosystems (AES) in South Asia will be scalable and replicable in all similar Agro-Ecosystems. This programme will primarily contribute in achieving Sustainable Development Goal 2 of United Nations: “End hunger, achieve food security and improved nutrition and promote sustainable agriculture in South Asia”.

The overall programme will benefit about 40000 people living in 165 villages of 21 districts in Bangladesh, India, Nepal and Pakistan. The first phase of the programme will be implemented from April, 2018 in 95 villages of 11 districts, benefiting about 22000 people.

SAFBIN programme follows farmer led collective on-farm adaptive research, farming system and partnership approaches to empower the smallholder farmers in:

Caritas organisations part of this initiative are the official national organisations of the Catholic Bishops' Conference for social development in their respective countries. They are also members of Caritas Internationalis in Rome, which is a global confederation of 165 Catholic organisations working in humanitarian emergencies and international development. Implementing partners in South Asia are the members of Caritas Asia, which is also a strategic partner of this programme.

Caritas India, Caritas Bangladesh, Caritas Nepal and Caritas Pakistan will be implementing this programme in South Asia with the support of Caritas Austria and Caritas Switzerland. They will collaborate and partner with global and national research institutions, national agricultural research system and universities to implement this programme.


  • Effect of different sources of nitrogen on yield and yield components of rice

  •   | 
  • 01/04/2016

This is the BSc thesis completed by Md. Abubakker Siddique at the Department of Agronomy and Agricultural Extension at the University of Rajshahi, Bangladesh.


Fertilization management of rice is becoming increasingly difficult due to climate change. At the same time it is important to manage nitrogen fertilization more effectively to ensure acceptable rice yields in the future.

In this research study different urea types, as nitrogen sources, were compared with the objective to identify the best source for local conditions at the study sites and ideal management options to enable local farmers to increase their rice yields.

An experiment was conducted in SAF-BIN project locations in the upazillas[1] Baraigram (Natore district), Paba (Rajshahi district) and Patnitala (Naogaon district), Bangladesh. The tested urea types were granular urea (GU) and urea super granule (USG) urea. A randomized complete block design with two replications was applied (plot size 6m x 4m). BINA dhan7, a short duration drought tolerant as well as drought escaping rice variety, was used. 25 days old seedlings were transplanted (3-4/ hill; spacing 20cm x 15cm), fertilized (180kg/ha urea, 75kg/ha TSP, 90kg/ha MOP, 60kg/ha gypsum) and if necessary pest management was applied. Data collected included: growth duration (days), productive tillers/hill, total grain weight/panicle (g/10m²) and yield (t/ha). Analysis of variance (ANOVA), mean differences (Duncan's new multiple range test) and correlation co-efficient of urea type and yield components was performed.

Growth duration varied significantly between locations (Paba 113.8 days; Patnitala: 110, Baraigram: 111.2) and urea type (GU: 111; USG: 112.3). Fertile tillers/hill varied significantly between locations (Paba: 15.6, Patnitala: 14.2, Baraigram: 17.4) and urea types (GU: 14.6; USG: 16.9). USG produced most tillers/hill in all locations. Total grain weight/panicle was significantly influenced by location (Paba 21.1g; Patnitala: 20.8g, Baraigram: 22.7g), urea type (GU: 21.4g; USG: 21.6g) and their interaction. Yield varied significantly urea type (GU: 4.5t/ha; USG: 4.96t/ha). Both urea types positively correlated with fertile tillers/hill but USG correlated higher than GU.

It can be concluded that USG has a greater impact on rice yield than GU and can be recommended to farmers in the study sites.

[1] a geographical region in Bangladesh used for administrative purposes, sub-units of districts. (Wikipedia, 2015: access date 19/10/2015.