Household consumption profile of cowpea (vigna unguiculata) among low‐income families in Nigeria

O feijão-caupi (Vigna unguiculata L. Walp), é uma leguminosa herbácea, considerada principal fonte protéica vegetal para famílias de baixa renda no Brasil. Cultivado em regiões de clima quente úmido e semiárido, torna-se uma opção para a região nordeste, uma vez que pode servir como alternativa de fonte de renda aos pequenos e médios produtores. Nesse sentido, objetivou-se avaliar as características produtivas de genótipos de feijão-caupi irrigados com água salina. Os tratamentos consistiam da combinação de dois fatores: Salinidade da água de irrigação (A1 - água de abastecimento com 0,8dSm-1 e A2 - solução salina 4,8 dSm-1) e Genótipos de feijão-caupi (G1 - MNC04-762F-9, G2 - MNC04-762F-3, G3 - MNC04-762F-21, G4 - MNC04-769F-62 e G5 - MNC04-765F-153). Combinados os fatores, no delineamento inteiramente casualizado, resultaram em 10 tratamentos (2 níveis de salinidade x 5 genótipos), com 4 repetições. A irrigação com água salina se deu aos 12 DAS. As variáveis analisadas foram o número de vagens por planta (NVP), comprimento da vagem por planta (CVP), número de grãos por vagem (NGV), número de grãos por planta (NGP) e peso dos grãos por planta (PGP). A salinidade da água de irrigação reduziu consideravelmente as características produtivas de genótipos de feijão-caupi.Production components of bean-cowpea genotypes irrigated with saline waterAbstract: Cowpea (Vigna unguiculata L. Walp) is a herbaceous legume, considered main vegetable protein source for low-income families in Brazil. Grown in hot humid climates and semi-arid, it becomes an option for the northeast region, since it can serve as an alternative income source to small and medium producers. In this sense, the objective was to evaluate the production characteristics of cowpea genotypes irrigated with saline water. The treatments consisted of the combination of two factors: Irrigation Water Salinity (A1 - water supply with 0,8dSm-1 and A2 – saline solution 4.8 dSm-1) and cowpea genotypes (G1 - MNC04-762F -9, G2 - MNC04-762F-3 G3 - MNC04-762F-21 G4 - G5 and MNC04-769F-62 - MNC04-765F-153). Combined factors, a completely randomized design, resulted in 10 treatments (2 levels of salinity x 5 genotypes) with four repetitions. The irrigation with saline water given to the 12 days after sowing (DAS). The variables were the number of pods per plant (NP), pod length per plant (PL), number of seeds per pod (SP), number of grains per plant (GP) and weight of grains per plant (WGP). The salinity of the irrigation water significantly reduced the productive characteristics of cowpea genotypes.

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Medicaid, Low-Income Families, and Reimbursement

Pediatric News ◽

10.1016/s0031-398x(06)71583-1 ◽

2006 ◽

Vol 40 (12) ◽

pp. 68

Author(s):

BRYAN FINE

Keyword(s):

Low Income ◽

Low Income Families

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Demonstrating Nutrient Cost Gradients: A Brooklyn Case Study

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000210 ◽

2014 ◽

Vol 84 (5-6) ◽

pp. 244-251 ◽

Cited By ~ 2

Author(s):

Robert J. Karp ◽

Gary Wong ◽

Marguerite Orsi

Keyword(s):

Low Income ◽

Energy Content ◽

Food Selection ◽

The United States ◽

United States Department ◽

Micronutrient Deficiencies ◽

Caloric Density ◽

Low Income Families ◽

The Cost ◽

The Impact

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.

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