Farmer field school: Non-formal education to enhance livelihoods of Indonesian farmer communities

2021 ◽  
pp. 1-16
Author(s):  
Joko Mariyono ◽  
Jaka Waskito ◽  
Suwandi ◽  
Tabrani ◽  
Apri Kuntariningsih ◽  
...  
Agro Ekonomi ◽  
2010 ◽  
Vol 17 (1) ◽  
Author(s):  
Gil Da Conceicao ◽  
Roso Witjaksono

The objectives of research were to (1) understand effect of exsternal and internal factors on farmers activeness in following FFS activities in Sub District Manatuto and Lospalos, (2) explain effects of farmers activeness on following FFS activities on innovation adoption level of vegetables farming. This research used survey method. The respondents were farmers who followed farmer field school in sub District Manatuto and Lospalos (20 administrators and 80 members). Variables used in this research were external factor (role of Liurai, Lisan, agriculture extension and land area) and internal factors (age, frmal and non frmal education, market perception, farmers’ attitude to innovation and motivation) and activeness variables of farmers in following FFS. The results inc=dicated that formal and informal education affected activeness of farmers with sigv=nificant values of 0.034 for formal education and 0.001 for Non formal education. Whie external factors of farmers, namely, role of Liurai, really affected activeness of farmers with significant value of 0.016. furthermore, activeness variables of farmers also really affected level of vegetables farming innovation adoption through FFS in Sub District Mnatuto and Lospalos with significant rate of 0.001.


2020 ◽  
Vol 12 (21) ◽  
pp. 9105
Author(s):  
Anika Reetsch ◽  
Kai Schwärzel ◽  
Christina Dornack ◽  
Shadrack Stephene ◽  
Karl-Heinz Feger

In East Africa, soil nutrient depletion and low yields jeopardise the food security of smallholder farming families and exacerbate poverty. The main reasons for the depletion of soil nutrients are overuse due to population growth, limited land, and increasing uncertainty in agricultural production caused by climate change. This study aims to analyse and optimise nutrient flows and stocks in the homegardens of smallholder banana-coffee-based farming systems in the Kagera region in NW Tanzania. The plant nutrients nitrogen (N), phosphorus (P), and potassium (K) in plant-based biomass and organic farm waste are under investigation. We used data from a farm household survey (150 households) and from focus group discussions with 22 trainers who had been training about 750 farm households in sustainable land management (SLM) at a local farmer field school. In total, we identified six farm household types and calculated a nutrient balance (NB) for the homegardens of each household type. The NB was calculated for the following five management scenarios: S0: business as usual; S1: the use of 80% of the available human urine; S2: the incorporation of 0.5 t yr−1 of the herbaceous legume species Crotalaria grahamiana into the soil; S3: the production of 5 m3 yr−1 CaSa-compost (human excreta and biochar) and its application on 600 m2 land; and S4: a combination of S1, S2, and S3. The results show that the NB varies considerably depending on whether farmers have implemented the SLM training, apply nutrient-preserving manure collection and storage methods, and purchase fodder (imported nutrients), or whether they do not collect manure or do not purchase fodder. Trained farm households are more likely to have a positive NB than untrained households because they have already improved the nutrient management of their farms through the successful implementation of SLM practices. Untrained households would improve the NB in their homegardens under all management scenarios. However, the NB depends on labour-intensive manure collection and compost production, labour shortages, prolonged dry seasons, and socio-economic imbalances. As long as these constraints remain, nutrient deficiencies will not be overcome with mineral fertilisers alone, because soils have to be further enriched with organic matter first. In this paper, we also emphasise the importance of the system boundary, because only a complete NB can give an estimate of actual nutrient removal and the resulting nutrient demand (including removals by fodder and trees). Further improvements in the SLM training may be achieved by (i) measuring the current nutrient status of soils, (ii) analysing the need for the coexistence of free-range livestock on the grassland and zero-grazing in trained households, and (iii) conducting an in-depth analysis of the socio-economic differences between successful and unsuccessful households. In conclusion, if smallholder farmers were to integrate further improved SLM training and optimised nutrient management (S1 to S4), we assume that the NB would turn positive. Last but not least, the SLM training by the farmer field school may serve as a best-practice example for training and policy recommendations made by government institutions.


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