Browsing by Author "Shitindi, Mawazo J."

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Awareness and application of existing agroecological practices by small holder farmers in Mvomero and Masasi districts-Tanzania
(Canadian Center of Science and Education, 2020-12-15) Constantine, John; Sibuga, Kallunde P.; Shitindi, Mawazo J.; Hilberk, Angelika
A survey study was conducted to assess the level of awareness and application of existing agro-ecological practices by small holder farmers in Mvomero and Masasi districts in Tanzania. The selection of farmers to interview and the villages in the respective districts was based on their long history of producing cassava and maize. A structured questionnaire was used to identify the type of agro-ecological practices, agricultural information sources accessed by farmers, training on agro-ecological practices, type of crops grown in the study areas and kind of livestock kept. Results indicated that the most applied agro-ecological practices were diversification (80.5%), the use of farmer saved seeds (78.2%) followed by intercropping (72.9%) and lastly, agro-forestry (3.2%). The highest percentage of farmers (30.4%) reported to receive information on ecological organic agriculture from non-governmental organisations (NGOs) (SAT, SWISS AID), 27.5% were using own farming experience, 21% reported to receive the information from government extension officers, 13% from friends or neighbours, 4.3% from government institutions (SUA, Agricultural Training Institutes) and 3.6% received information from agricultural input suppliers. Generally, 50% of farmers had received training on agroecological practices indicating the level of awareness. Lack of knowledge among farmers was one of the key factors that hamper the wide application of agroecological practices. There was a need for farmer’s capacity building through training to enhance wider application of agroecological practices hence progressive agricultural production increase.
ICT4Agroecology: a participatory research methodology for agroecological field research in Tanzania
(Taylor & Francis, 2024) Hilbeck, Angelika; Tisselli, Eugenio; Crameri, Simon; Sibuga, Kallunde P.; Constantine, John; Shitindi, Mawazo J.; Kilasara, Method; Churi, Ayubu; Sanga, Camillius; Kihoma, Luambano; Brush, Gladness; Stambuli, Fadhili; Mjunguli, Rainard; Burnier, Blaise; Maro, Janet; Mbele, Angelina; Hamza, Suleyman; Kissimbo, Mary; Ndee, Ayoub
Agroecology has become increasingly popular but locally optimized agroecological production methods and information and communication technology (ICT) support tools are limited. This study was conducted at three different geographic locations across Tanzania; we co-developed an integrated participatory field research methodology consisting of two components, each supported by a specifically developed, complementary ICT tool, withmaize and cassava as the two focal crops, to examine soil fertility and conservation (compost and mulching), increased biodiversity through intercropping (legumes), and organic pest control measures. Two specifically devel oped ICT tools, the AgroEco Research application (AER) and AgroEco Analysis application (AEA) were used for data gathering & storage and visualization & statistical analysis,respectively. Further, farmer-managed satellite experiments were performed to further test the research premises and validate their outcomes in the “real world” of smallholder farmers, which was supported by a smartphone application called “Ugunduzi” – enabling farmers to collect, store, and evaluate data generated at different stages of their research. Farmers were free to choose any type, number, and combination of the agroecological practices tested in the field research. This study serves as a methodology reference for a number of companion publications reporting
Modeling the electrical conductivity relationship between saturated paste extract and 1:2.5 dilution in different soil textural classes
(Department of agricultural engineering, 2024-12) Omar, Moh’d M.; Shitindi, Mawazo J.; Massawe, Boniface H. J.; Pedersen, Ole; Meliyo, Joel L.; Fue, Kadeghe G.
Regression models were developed to estimate the electrical conductivity of saturated paste extract (ECe) from the electrical conductivity of soil-water ratio (EC1:2.5) for different soil textural classes. ECe is a crucial parameter used to indicate the presence, type, and distribution of salinity in soils. However, determining ECe is demanding, time-consuming, requires considerable skill to accurately identify the correct soil saturation point, and is not routinely performed by soil testing laboratories. Many laboratories, instead, commonly measure the electrical conductivity of soil-water extracts at various dilutions, such as EC1:1, EC1:2.5, or EC1:5. In this study, 706 soil samples were collected from depths of 0 - 30 cm across three rice irrigation schemes to determine EC1:2.5, with 50% analyzed for ECe. ECe values were grouped based on soil textural classes. The results showed a strong linear relationship between EC1:2.5 and ECe values, with a high coefﬁcient of determination (R² > 0.95). The Root Mean Square Error values were low (1.4 < RMSE), and the Mean Absolute Error values were similarly low (0.85 < MAE). Therefore, the regression models developed provide a practical means of estimating ECe for various soil textural classes, thereby enhancing soil salinity assessment and management strategies