Quality protein maize—Bridging the malnutrition gap

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Poster prepared by Peter Setimela, Edmore Gasura, Davies Melele and Oswell Ndoro for the Africa RISING Science for Impact Workshop, Dar es Salaam, 17-19 January 2017

Science

This poster is licensed for use under the Creative Commons Attribution 4.0 International Licence.
January 2017
We thank farmers and local partners in Africa RISING sites for their contributions to this research. We also acknowledge
the support of all donors which globally support the work of the CGIAR centers and their partners through their
contributions to the CGIAR system
Quality Protein Maize - bridging the malnutrition gap
Peter Setimela 1, Edmore Gasura2 , Davies Melele3, and Oswell Ndoro1
1CIMMYT, P.O. Box MP 163, Harare, Zimbabwe
2Department of Crop Science, University of Zimbabwe, P.O. Box MP 167, Mt Pleasant, Harare, Zimbabwe
3ZARI, Msekera Research Station, Chipata, Zambia
Key messages
• Maize is the major staple food in Zambia with human
consumption averaging 117 kg capita-1 year-1
• Maize inherently poor in two essential amino acids: tryptophan
and lysine
• Opaque-2 gene conferring high-lysine and tryptophan offers the
hope to bridge the protein
• Only one open pollinated variety QPM Obatanpa was released in
2004
Key results
• Ten elite QPM varieties were selected from on-station trials based
on high grain yield and stability, and were found to be comparable
to the best commercial checks
• The yield genetic gains ranged from 11-40% across the two years,
suggesting effective genetic gains in QPM breeding.
• The genotype plus genotype x environment interaction (GGE)
comparison biplot based on two seasons of testing identified QPM
hybrids CZH132044Q, CZH142238Q and CZH142236Q to be stable
and high yielding.
Objectives and approach
The objective of this study was to evaluate a new generation of QPM
varieties for grain yield and stability based on the site regression
(SREG) model.
Significance and scaling potential
• Zambian smallholders can benefit substantially from QPM because
of the high rates of daily maize intake coupled with low intake of
balanced protein foods containing essential amino acids.
• Seed companies have started to multiple breeders and foundation
seed for scaling up certified seed production.
• The new QPM varieties as competitive as normal maize varieties on-
station and on-farm
Figure 2.Best QPM genotypes mean and
stability
Figure 1. Evaluation QPM varieties
Figure 3. Sale of QPM by smallholder
farmers on the road side

- The document discusses the development of Quality Protein Maize (QPM), a variety of maize that contains higher amounts of the essential amino acids lysine and tryptophan. - QPM was created through the discovery of the opaque-2 mutant in the 1930s, which increases lysine levels but causes soft kernels. Breeding efforts aimed to combine this trait with genetic modifiers to recover kernel hardness. - India has released several QPM varieties since 1970 through conventional breeding programs at research centers. More recently, marker-assisted selection was used to shorten the time needed to develop new QPM hybrids with improved agronomic traits.

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1) A study in Colombia evaluated the impact of consuming Quality Protein Maize (QPM) through a school feeding program on school children's weight and height over 12 months. 2) While children gained weight and grew taller overall, there were no differences between groups receiving QPM, common maize, or QPM seed. 3) This was likely due to the intervention not being delivered as planned, with variations in the number of days maize was served, quantity of maize consumed, and smaller difference in amino acid concentration between maize varieties than expected.

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This document summarizes a study on developing weaning foods from quality protein maize, defatted fluted pumpkin seed, and African walnut. Two formulations were tested: A) quality protein maize alone, and B) a blend of 76% quality protein maize, 12% defatted fluted pumpkin seed, and 12% defatted African walnut. Formulation B had higher protein content and was preferred in sensory evaluation for color, aroma, taste, and consistency. The study showed that blending quality protein maize with fluted pumpkin and African walnut improved the nutritional profile and could help address malnutrition in developing countries.

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Maize is a versatile crop, used as human food, livestock feed and raw material in industries. Being robust and extremely adaptable in various agro-climatic conditions, it is a favourite crop of farmers throughout the world. For majority of the population, especially rural poor maize constitutes the main bulk of the daily diet. But, the concern lies in the insufficient protein quality and quantity in maize grain leading to malnutrition. Its nutritional value is limited by the low levels of essential amino acids, particularly lysine and tryptophan. In maize endosperm, zein constitutes 50 to 70% of storage protein which is abundant in glutamine, leucine and proline but devoid of the essential amino acids viz., lysine and tryptophan (Prasanna 2001 ; Gibbon and Larkins, 2005; Wu et al., 2010). The discovery of a natural mutation called opaque2 (o2) in 1960’s, caused reduction of zein and increase in non-zein proteins in maize grain doubling the level of lysine (Mertz et al., 1964; Krivanek et al., 2007; Wu et al.,2010). However, the o2 mutation had negative pleiotropic effects that resulted in soft, chalky and dull endosperm, (Babu et al., 2005) leading to decrease in grain den¬sity, increase in susceptibility to attacks by pests and diseases and decrease in productivity. These defects were ameoliarated by the efforts of plant breeders by selecting o2 lines with hard, translucent (vitreous) kernels that retained high lysine content. These modified opaque lines had loci called “modifiers” and such genotypes were called “Quality Protein Maize” (--1,--3,--6, Ortega and Bates, 1983; Villegas et al., 1992; Toro, 2001).

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Nutrition assessment 2021

africa-rising

The document summarizes the results of a nutrition assessment study and lessons learned from it. The study aimed to identify how Africa RISING interventions contributed to household nutrition. It used a qualitative research approach with key informant interviews and focus group discussions in Ethiopia. The results showed that the interventions helped to produce and consume a more diverse and nutritious diet, generate income, and improve knowledge of food production and preparation. However, diet diversity remained low and certain nutrient-rich foods were still limited. Key lessons were that technical nutrition support needs frequent follow-ups, and engaging community leaders and husbands is important for influencing mothers' nutrition practices.

Scaling assessment 2021

africa-rising

The document discusses plans for scaling assessment of Africa RISING interventions. It notes that Africa RISING's second phase focused on scaling approaches through recruiting scaling partners, training of trainers, multi-stakeholder meetings, and research backstopping. The assessment aims to document scaling practices, identify areas for increased support, and develop an exit strategy as the program period concludes. It will use ILRI's scaling framework over six months to provide a technical report and scientific paper.

Aiccra supervision 2021

africa-rising

Ar scaling 2021

africa-rising

Ar training 2021

africa-rising

This document summarizes a presentation on conducting on-farm trials at scale using crowdsourcing. It discusses the benefits and challenges of traditional on-farm trials, and proposes a solution using digital platforms and farmer participation. Farmers would receive random combinations of varieties to test on their own farms and provide rankings. Data would be collected and analyzed to provide feedback to farmers. The approach aims to increase representation while reducing costs compared to traditional on-farm trials. It outlines 10 steps for implementation, including defining varieties, designing projects, recruiting farmers, preparing packages, data collection, analysis and discussion.

Ar nutrition 2021

africa-rising

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Applied Science: Thermodynamics, Laws & Methodology.pdf

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When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best. Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level. Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.

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The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions. Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability. Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields. I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating). I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems. Exposé invité Journées Nationales du GDR GPL 2024

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Leonel Morgado

Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.

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Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions among stars. Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars. The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun. Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically, the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec. Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation were carried out using the ACIS-Extract software. Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a photon flux threshold of approximately 2 × 10−8 photons cm−2 s −1 . The X-ray sources exhibit a highly concentrated spatial distribution, with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.

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The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the ‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space, because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago. We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data 1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’ did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within the last few Gyr, consistent with the body of work surrounding the VRM.

The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx

MAGOTI ERNEST

Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024). Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).

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Leonel Morgado

We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.

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Quality protein maize—Bridging the malnutrition gap

1. This poster is licensed for use under the Creative Commons Attribution 4.0 International Licence. January 2017 We thank farmers and local partners in Africa RISING sites for their contributions to this research. We also acknowledge the support of all donors which globally support the work of the CGIAR centers and their partners through their contributions to the CGIAR system Quality Protein Maize - bridging the malnutrition gap Peter Setimela 1, Edmore Gasura2 , Davies Melele3, and Oswell Ndoro1 1CIMMYT, P.O. Box MP 163, Harare, Zimbabwe 2Department of Crop Science, University of Zimbabwe, P.O. Box MP 167, Mt Pleasant, Harare, Zimbabwe 3ZARI, Msekera Research Station, Chipata, Zambia Key messages • Maize is the major staple food in Zambia with human consumption averaging 117 kg capita-1 year-1 • Maize inherently poor in two essential amino acids: tryptophan and lysine • Opaque-2 gene conferring high-lysine and tryptophan offers the hope to bridge the protein • Only one open pollinated variety QPM Obatanpa was released in 2004 Key results • Ten elite QPM varieties were selected from on-station trials based on high grain yield and stability, and were found to be comparable to the best commercial checks • The yield genetic gains ranged from 11-40% across the two years, suggesting effective genetic gains in QPM breeding. • The genotype plus genotype x environment interaction (GGE) comparison biplot based on two seasons of testing identified QPM hybrids CZH132044Q, CZH142238Q and CZH142236Q to be stable and high yielding. Objectives and approach The objective of this study was to evaluate a new generation of QPM varieties for grain yield and stability based on the site regression (SREG) model. Significance and scaling potential • Zambian smallholders can benefit substantially from QPM because of the high rates of daily maize intake coupled with low intake of balanced protein foods containing essential amino acids. • Seed companies have started to multiple breeders and foundation seed for scaling up certified seed production. • The new QPM varieties as competitive as normal maize varieties on- station and on-farm Figure 2.Best QPM genotypes mean and stability Figure 1. Evaluation QPM varieties Figure 3. Sale of QPM by smallholder farmers on the road side

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