Does Fish Farming Improve Household Nutritional Status? Evidence from Bangladesh

In the present study, nutritional status was assessed using dietary diversity of fish and non-fish farming households in Mymensingh district of Bangladesh. It has determined the incidence of poverty in fish and non-fish farm households through a comparative analysis of family profile, food consumption, calories, and protein intake. A total of 420 farms were selected for data collection using structured questionnaires with 210 fish and 210 non-fish farm families. The study using both descriptive and functional analysis revealed that the respondent age of both farms was 45.10 years, family size was 5.70, average education was 4.64 schooling years, and average farm size was 0.514 hectares. As a result, due to the increase in household income, fish farm families improved their food consumption, calories, and protein intake in comparison with non-fish farms. On a direct calorie intake (DCI) basis, the overall absolute and hardcore poverty levels of fish farm households were 32 percent and 18 percent, respectively, while those of non-fish farm households were 22 percent and 10 percent, respectively. Therefore, the incidence of poverty was higher in non-fish farming families than in fish farming families. In principle, provision of various forms of government assistance through the Department of Fisheries (DOF) will further intensify and strengthen fish farming, which will easily bring fallow and uncultivated lands of the area under fish farming. Moreover, it is possible to inspire the younger generation through this research that will help them to become a fish farm-based entrepreneur. The main conclusion of the present study is that fish farming is more positively related to household income, family food intake, and nutritional status than any other type of farming.

The impact of uptake of selected agricultural technologies on rice farmers’ income distribution in Ghana

Background Government of Ghana’s effort to reduce income inequality consistently poses a major challenge to public policy formulation. The promotion and dissemination of agricultural technologies as a pathway out of income inequality in rural Ghana have received widespread support. Yet, knowledge about the impact of agricultural technologies on rural income inequality remains low. The objective of the study is to evaluate the link between the uptake of improved rice technologies and income distribution in the study area. Methods This paper uses a survey data from 917 smallholder rice producers in selected communities in Ghana. The study employs the Bourguignon, Fournier, and Gurgand (BFG) selection bias correction model, a two-stage model, to empirically analyse the role of agricultural technologies in rural income distribution. Results The empirical result shows that education, farm size, land ownership, participation in relevant extension training programmes enhance adoption, but gender (female) inhibits uptake of the selected technologies. The empirical result further shows that the uptake of the improved rice seed and fertilizer increases rice farmers’ net revenue significantly. The result further indicates that farmers’ choice of the selected agricultural technologies decreases the sample population income inequality, indicating the uptake of the technologies has an equalizing effect on rice farmers’ income distribution. Conclusion The study concludes that the use of the selected technologies has potential to fight rural poverty in Ghana. The findings have implications for National Development Planning Commission (NDPC) agenda of redistribution of wealth in Ghana.

Ovine Eimeria infections in southern Brazil – prevalence and risk factors

Eimeria infections are common in sheep industry worldwide, however information about their epidemiology is scarce in southern state of Rio Grande do Sul, Brazil. Therefore, a cross-sectional study was carried out to determine the prevalence, species characterization, and associated risk factors between Eimeria species and sheep flocks. Fecal samples from 428 sheep from 21 farms were tested for the presence of oocysts. The overall prevalence of Eimeria spp. was 68.69% and was significantly affected by age of the sheep, with highest prevalence in animals under 18 months of age. Eight Eimeria species were identified. Eimeria ovinoidalis (85.71%) was the most common, followed by Eimeria crandallis (80.95%), Eimeria granulosa (78.95%), Eimeria ahsata (61.90%), Eimeria faurei (42.86%), Eimeria bakuensis (38.10%), Eimeria punctata (14.29%), and Eimeria pallida (9.52%). All herds were positive, with concomitant infections. Among management and husbandry practices; farm size, animal density, farming system, breeding objectives, and pasture system influenced the prevalence of Eimeria species. The infection was more prevalent on small farms with high animal density, in sheep raised for meat, semi-intensive system, and rotational grazing (p < 0.05). The wide distribution of this protozoan and the high frequency of pathogenic species show the importance and potential damage of coccidiosis in sheep flocks in Rio Grande do Sul.

Impacts of 319 wind farms on surface temperature and vegetation in the United States

The development of wind energy is essential for decarbonizing energy supplies. However, the construction of wind farms changes land surface temperature (LST) and vegetation by modifying land surface properties and disturbing land-atmosphere interactions. In this study, we used MODIS satellite data to quantify the impacts of 319 wind farms on local climate and vegetation in the United States. Our results indicated insignificant impacts on LST during the daytime but significant warming of 0.10°C on annual mean nighttime LST averaged for all wind farms, and 0.36°C for those 61% wind farm samples with warming. The nighttime LST impacts exhibited seasonal variations, with stronger warming in winter and autumn up to 0.18°C but weaker effects in summer and spring. We observed a decrease in peak NDVI for 59% of wind farms due to infrastructure construction, with an average decrease of 0.0067 compared to non-wind-farm areas. The impacts of wind farms depended on wind farm size, with winter LST impacts for large and small wind farms ranging from 0.21°C to 0.14°C, and peak NDVI impacts ranging from -0.009 to -0.006. The LST impacts declined with the increasing distance from the wind farm, with detectable impacts up to 10 km. In contrast, the vegetation impacts on NVDI were only evident within the wind farm locations. Wind farms built in grassland and cropland showed larger warming effects but weaker vegetation impact compared to those built on forest land. Furthermore, spatial correlation analyses with environmental factors suggest limited geographical controls on the heterogeneous wind farm impacts and highlight the important role of local factors. Our analyses based on a large sample offer new observational evidence for the wind farm impacts with improved representativeness. This knowledge is important to fully understand the climatic and environmental implications of energy system decarbonization.

Adoption of Vietnamese Good Agricultural Practices (VietGAP) in Aquaculture: Evidence From Small-Scale Shrimp Farming

The increasing demand by international customers for high-quality shrimp products has led to the introduction of various certificates of traceability intended to validate quality products in Vietnam. The Vietnamese good agricultural practices (VietGAP), better known in aquaculture as the Vietnamese good aquaculture practices, has emerged as a reliable certificate for small-scale farmers and a prerequisite for international certification. This study investigates factors affecting applications for VietGAP by small-scale shrimp farmers in Vietnam. Cost-benefit analysis and binary logistic regression approaches were used to categorise shrimp farms with and without VietGAP certification. Findings indicated that while the adoption of VietGAP raised production costs by 14.5 %, it could increase net profit by up to 22 %. The increase in net profit is from increased productivity and antibiotics and chemical-free products in shrimp farming, helped fetch better prices. The results also revealed three factors that positively influenced the farmers’ decision to acquire VietGAP; education, farm size, and production system. Shrimp farmers with longer schooling years, larger farms, and those who possess cooperative/farming cluster membership are more likely to acquire VietGAP certification. The results imply that the VietGAP certification should be better promoted to cooperative production forms of farming, by strengthening the schooling year of farmers and increasing awareness of VietGAP certification to farmers who operate shrimp farms of 5,000–9,000 m2.

What Farm Size Sustains a Living? Exploring Future Options to Attain a Living Income From Smallholder Farming in the East African Highlands

Smallholder farming in sub-Saharan Africa keeps many rural households trapped in a cycle of poor productivity and low incomes. Two options to reach a decent income include intensification of production and expansion of farm areas per household. In this study, we explore what is a “viable farm size,” i.e., the farm area that is required to attain a “living income,” which sustains a nutritious diet, housing, education and health care. We used survey data from three contrasting sites in the East African highlands—Nyando (Kenya), Rakai (Uganda), and Lushoto (Tanzania) to explore viable farm sizes in six scenarios. Starting from the baseline cropping system, we built scenarios by incrementally including intensified and re-configured cropping systems, income from livestock and off-farm sources. In the most conservative scenario (baseline cropping patterns and yields, minus basic input costs), viable farm areas were 3.6, 2.4, and 2.1 ha, for Nyando, Rakai, and Lushoto, respectively—whereas current median farm areas were just 0.8, 1.8, and 0.8 ha. Given the skewed distribution of current farm areas, only few of the households in the study sites (0, 27, and 4% for Nyando, Rakai, and Lushoto, respectively) were able to attain a living income. Raising baseline yields to 50% of the water-limited yields strongly reduced the land area needed to achieve a viable farm size, and thereby enabled 92% of the households in Rakai and 70% of the households in Lushoto to attain a living income on their existing farm areas. By contrast, intensification of crop production alone was insufficient in Nyando, although including income from livestock enabled the majority of households (73%) to attain a living income with current farm areas. These scenarios show that increasing farm area and/or intensifying production is required for smallholder farmers to attain a living income from farming. Obviously such changes would require considerable capital and labor investment, as well as land reform and alternative off-farm employment options for those who exit farming.

Determinants of farmers’ access to microcredit from cooperative societies in Ondo state, Nigeria

The study examined the determinants of farmers’ access to microcredit from cooperative societies in Ondo state. A multistage sampling technique was used to obtain data from 100 respondents. Primary data was collected for the purpose of the study. We used descriptive statistics and logit regression model to analyses the data collected. Result showed that the farmers were mostly male farmers (64%) while majority of the farmers had a mean age of 44.10 ± 14.70. It was also revealed that consumer cooperative society, producer cooperative society, marketing cooperative society, cooperative farming society and credit and thrift cooperative society were the major forms of cooperative used by the farmers. The result also shows that age, marital status, farm size, farming experience, credit from another source and number of years in the cooperative significantly influenced farmers’ access to microcredit from cooperative society. Int. J. Agril. Res. Innov. Tech. 11(2): 103-107, Dec 2021