It matters who produces data: reflections on two citizen-generated data initiatives

Development Initiatives (DI) and Development Research and Training (DRT) received a Making All Voices Count practitioner research and learning grant to examine the purpose, use and users of citizen-generated data in two case studies. One case study examined how citizen-generated data on the quality of schools and schooling was channelled to the Ministry of Education in Kenya. The other looked at the work of community resource trackers in five communities in Uganda and their role in providing unsolicited feedback to local government actors and other development partners. By reflecting on and contextualising the findings of the practitioner research, this Practice Paper looks at the evolution of the open data movement in Kenya and Uganda, and the growth of citizen-generated data initiatives; the advantages and disadvantages of formal feedback structures and the importance of barazas as spaces for accountability; the need for demonstrating the value of participating in social accountability mechanisms to citizens and the challenges of scaling up citizen-generated data initiatives.DFIDUSAIDSidaOmidyar Networ

High Resistant Starch Rice: Variation in Starch Related SNPs, and Functional, and Sensory Properties

Human diets containing greater resistant starch (RS) are associated with superior glycemic control. Although high amylose rice has higher RS (29 g/kg to 44 g/kg) than lower amylose content varieties, sensory and processing properties associated with RS have not been evaluated. This study used variants of Waxy and starch synthase II a (SSIIa) genes to divide high amylose (256 g/kg to 284 g/kg) varieties into three haplotypes to examine their effects on RS, RVA parameters, and 14 cooked rice texture properties. RVA characteristics were influenced by both genes with peak and hotpaste viscosity differentiating the three haplotypes. Setback from hotpaste viscosity was the only RVA parameter correlated with RS content across three haplotypes (r = −0.76 to −0.93). Cooked rice texture attributes were impacted more by Waxy than by SSIIa with initial starch coating, roughness, and intact particles differentiating the three haplotypes. Pairwise correlation (r = 0.46) and PCA analyses suggested that roughness was the only texture attribute associated with RS content; while protein content influenced roughness (r = 0.49) and stickiness between grains (r = 0.45). In conclusion, variation exists among genetic haplotypes with high RS for sensory traits that will appeal to diverse consumers across the globe with limited concern for negatively affecting grain processing quality

CORRELATIONS AMONG GRAIN CHARACTERISTICS USED TO DETERMINE THE EFFECTS OF ROUGH RICE STORAGE TIME AND TEMPERATURE ON AROMATIC RICE QUALITY

Summary statistics and corresponding Spearman correlation coefficients are illustrated for various subsets of aromatic rough rice storage time and temperature data from (a) the College Station texture sensory panel, (b) the New Orleans aroma and flavor sensory panel, and (c) the Beaumont USDA-ARS Rice Quality Laboratory. These correlations represent the inclinations of seemingly-related measures of several attributes to "move together," acting as an indicator of their associations with or impacts on one another.Crop Production/Industries,

CORRELATIONS AMONG GRAIN CHARACTERISTICS USED TO DETERMINE THE EFFECTS OF MILLED RICE STORAGE TIME AND TEMPERATURE ON AROMATIC RICE QUALITY

Summary statistics and corresponding Spearman correlation coefficients are illustrated for various subsets of aromatic milled rice storage time and temperature data from (a) the College Station texture sensory panel, (b) the New Orleans aroma and flavor sensory panel, and (c) the Beaumont USDA-ARS Rice Quality Laboratory. These correlations represent the inclinations of seemingly-related measures of several attributes to "move together," acting as an indicator of their associations with or impacts on one another.Crop Production/Industries,

Economic analysis of smallholder dairy cattle enterprises in Senegal

Smallholder dairy production in Senegal is important to both livelihoods and food and nutrition security. Here, we examine the economic performance of smallholder dairy cattle enterprises in Senegal, using data from longitudinal monitoring of 113 households. The mean (and standard deviation) of the net returns (NR) per cow per annum (pcpa) was 21.7 (202.9) USD, whilst the NR per household herd per annum (phpa) was 106.1 (1740.3) USD. Only about half (52.2%) of the dairy cattle enterprise had a positive NR. The most significant income components were milk sale followed by animal sale, whilst the most significant cost components were animal feed followed by animal purchase. When households were grouped by ranking on NRpcpa, an interesting trend was observed: whilst the mean NRpcpa showed a fairly linear increase from the lowest to highest NR groups, income and cost did not. Income and costs were both higher for the lowest and highest NR groups, in comparison to the intermediate NR groups. The mean NRs of households grouped by the main breed type they kept were not significantly different from each other, due to large variances within the breed groups. However, the mean total income and costs were significantly higher for households mainly keeping improved dairy breeds (Bos taurus or Zebu x Bos taurus crosses) in comparison to those keeping indigenous Zebu or Zebu by Guzerat crosses. This study highlights the highly variable (and often low) profitability of smallholder dairy cattle enterprise in Senegal. Further actions to address this are strongly recommended

A political economy analysis of decision-making on natural disaster preparedness in Kenya

Most deaths from natural disasters occur in low- or middle-income countries; among them, countries in the Horn of Africa – where Kenya lies. Between September 2015 and September 2016, 23.4 million people in this region faced food insecurity because of the 2015 El Niño, characterised by floods and droughts. The importance of effective government decision-making on preparedness and response are critical to saving lives during such disasters. But this decision-making process occurs in a political context which is marred by uncertainty with other factors at play. Yet, good practice requires making investments on a ‘no-regrets’ basis. This article looks at the factors influencing Kenya’s decision-making process for natural disasters, the preparedness for the 2015 El Niño as a case study. I explored what stakeholders understand by ‘no-regrets investments’ and its application. I assessed financial allocations by government and donors to disaster preparedness. Based on key informant interviews, focus group discussions and financial analyses, this article presents evidence at national and subnational levels. The findings indicate that in making decisions relating to preparedness, the government seeks information primarily from sources it trusts – other government departments, its communities and the media. With no existing legal frameworks guiding Kenya’s disaster preparedness, the coordination of preparedness is not strong. It appears that there is a lack of political will to prioritise these frameworks. The no-regrets approach is applied predominantly by non-state actors. Because there have been ‘non-events’ in the past, government has become overcautious in committing resources on a no-regrets basis. Government allocation to preparedness exceeds donor funding by almost tenfold

Compounds in Whole-Grain Rice Varieties

Whole-grain brown rice contains 15 vitamins and minerals, including B vitamins, potassium, magnesium, and iron—all nutrients the body needs to grow and develop normally. In addition to these essential nutrients, there are bioactive phytochemicals in rice, as well as in other whole grains, vegetables, fruits, beans, nuts, and seeds. Although the role of these plant chemicals in terms of human health has not been proven, a body of evidence suggests that some phytochemicals could be nutritionally beneficial. Now, studies headed by chemist Ming-Hsuan Chen, who is with the Agricultural Research Service’s Dale Bumpers National Rice Research Center in Stuttgart, Arkansas, have provided knowledge about the chemical composition and potential bioavailability of compounds in a representative group of rice varieties. Rice is a cereal grain, along with corn, oats, red and white wheat, and barley. The USDA-ARS National Small Grains Collection (NSGC) in Aberdeen, Idaho, for example, contains more than 18,000 rice samples of various colors, called “accessions,” from around the world. These accessions provide a valuable resource to breeders for developing new rice varieties with desirable agronomic and nutritional features. Rice is categorized into seven color classes based on bran color: white, light brown, speckled brown, brown, red, variable purple, and purple

Spray drying of pomegranate juice using maltodextrin/cyclodextrin blends as the wall material

Microencapsulation protects sensitive nutrients, masks flavors, or enhances delivery. Ratios of maltodextrin and γ‐cyclodextrin (20:0, 19:1, and 17:3% w/w) were dissolved in water and mixed with pomegranate juice for spray drying with inlet temperatures of 120, 140, and 160°C. The effects on physical properties (water activity, % water content, color, pH, soluble solids (Brix), and methyl cellulose precipitable tannin assay (MCPTA) were examined. Based on the principle component analysis, formulation influenced color parameters and pH accounted for 46.8% of the variation in the data. Temperature influenced Chroma and water‐holding capacity with 31.8% of the variation. The pH of the reconstituted spray‐dried powder significantly influenced color. Blending of γ‐cyclodextrins to maltodextrins slightly increased the water‐holding capacity, increased pH, slightly affected color, and preserved the color over time, slightly better. Increased inlet temperature affected color, decreased water‐holding capacity, and decreased astringency index. Small additions of γ‐cyclodextrin affect spray‐dried powders