There is growing evidence that home vegetable gardening interventions improve food security and nutrition outcomes at the family level. Sustainability of many of these community interventions remain a challenge. This study assessed factors influencing the sustainability of homestead vegetable production intervention in Rufiji district, Tanzania, one year after the cessation of external support. This was a community based cross-sectional study using both quantitative and qualitative data collection methods. A total of 247 randomly selected women from households who participated in the homestead vegetable intervention were interviewed using a structured questionnaire. The study held four focus group discussions with women from households that participated in the intervention, and four In-Depth interviews with two extension workers, one community health worker, and one agriculture district officer. Multiple logistic regression for quantitative data and thematic analysis for qualitative data was conducted. About 20.24% (50/247) of households sustained homestead vegetable production for one year after the intervention phased out. Shortage of seeds (adjusted odds ratio = 0.65: CI = 0.46-0.93, p-value 0.018) and either manure or fertilizers (adjusted odds ratio = 1.62: CI = 1.04-2.46, p-value 0.031) were significant factors influencing the sustainability of homesteads vegetable production. In the Focus Group discussions (FGDs) and In-Depth Interview (IDIs), all participating women and extension workers reported high cost of water, destruction from free-grazing animals, agriculture pests and diseases, poor soil fertility, shortage of seeds, and lack of capital affected homestead vegetable production sustainability. Existing individual, community, and system challenges influence the sustainability of external-funded agriculture and nutrition interventions. The study findings underscore the importance of community authorities, scientists, and policymakers in having a well-thought sustainability plan in all promising external-funded interventions.
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http://dx.doi.org/10.1371/journal.pgph.0000531 | DOI Listing |
Matern Child Nutr
January 2025
School of Natural Sciences, Technology and Environmental Studies, Södertörn University, Alfred Nobel Allé 7 Flemingsberg, Huddinge, Sweden.
Heliyon
September 2024
Climate-Smart Agriculture & Geospatial Lab, Department of Agroforestry and Environmental Science, Faculty of Agriculture, Sylhet Agricultural University, Sylhet-3100, Bangladesh.
A study was conducted in Sylhet at Jaintiapur Upazila to determine the prospects of Moringa-based homestead concerning Sustainable Development Goals. A household survey was conducted following a simple random sampling of 135 farmers and following a semi-structured questionnaire and interview schedule with 100 farmers (40 identified Moringa-based adopters and 60 non-adopters). The final questionnaire was prepared after pilot testing, which contained data on common species diversity, and the perception of farmers regarding SDGs indicators of "no poverty, zero hunger, good health, and well-being, gender equality, affordable and clean energy, decent work and economic growth".
View Article and Find Full Text PDFHeliyon
June 2024
Agricultural and Biological Engineering Department, University of Florida, 1741 Museum Rd, Gainesville, FL 32611, USA.
While hydroponics is considered an efficient vegetable production system, there is a compelling need to investigate the efficiency of the current generic nutrient dosing recommendation primarily based on electrical conductivity (EC) measurements. Such information is critical to fine-tune and optimize the current hydroponic management practices for improved nutrient uptake efficiency. This study investigated the dynamics of some micro and macronutrients (N, P, Ca, Mg, K, Fe, and Mn) in a recirculating nutrient film technique (NFT) hydroponic system under lettuce cultivation.
View Article and Find Full Text PDFFront Plant Sci
June 2024
School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States.
Edamame ( (L.) Merr.), a specialty soybean prized for its nutritional value and taste, has witnessed a surge in demand within the U.
View Article and Find Full Text PDFSci Total Environ
February 2024
Agricultural and Biological Engineering Department, Tropical Research and Education Center, IFAS, University of Florida, Homestead, FL, USA; Division of Basin Management and Modeling, St. Johns River Water Management District, Palatka, FL, USA.
The availability of accurate reference evapotranspiration (ETo) data is crucial for developing decision support systems for optimal water resource management. This study aimed to evaluate the accuracy of three empirical models (Hargreaves-Samani (HS), Priestly-Taylor (PT), and Turc (TU)) and three machine learning models (Multiple linear regression (LR), Random Forest (RF), and Artificial Neural Network (NN)) in estimating daily ETo compared to the Penman-Monteith FAO-56 (PM) model. Long-term data from 42 weather stations in Florida were used.
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