Biofortification: how can we exploit plant science to reduce micronutrient deficiencies?

2014 ◽  
Keyword(s):  
Plant Science ◽  
Micronutrient Deficiencies

Emerging Nutrition Gaps in a World of Affluence - Micronutrient Intake and Status Globally

2011 ◽  
Vol 81 (4) ◽  
pp. 238-239 ◽  
Author(s):  
Manfred Eggersdorfer ◽  
Paul Walter
Keyword(s):  
Developing Countries ◽  
Human Health ◽  
Old Age ◽  
Molecular Basis ◽  
Health Benefit ◽  
Developed Countries ◽  
Micronutrient Deficiencies ◽  
New Science ◽  
Health And Nutrition ◽  
Micronutrient Intake

Nutrition is important for human health in all stages of life - from conception to old age. Today we know much more about the molecular basis of nutrition. Most importantly, we have learnt that micronutrients, among other factors, interact with genes, and new science is increasingly providing more tools to clarify this interrelation between health and nutrition. Sufficient intake of vitamins is essential to achieve maximum health benefit. It is well established that in developing countries, millions of people still suffer from micronutrient deficiencies. However, it is far less recognized that we face micronutrient insufficiencies also in developed countries.

Demonstrating Nutrient Cost Gradients: A Brooklyn Case Study

2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
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.

Pengaruh Edukasi Berbasis Keluarga terhadap Intensi Ibu Hamil untuk Optimalisasi Nutrisi pada 1000 Hari Pertama Kehidupan

1970 ◽  
Vol 5 (2) ◽  
Author(s):  
Rosani Naim ◽  
Neti Juniarti ◽  
Ahmad Yamin
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Nursing Intervention ◽  
Wilcoxon Test ◽  
Control Group ◽  
Micronutrient Deficiencies ◽  
Control Group Design ◽  
Group Design ◽  
Family Based ◽  
Pregnant Mothers

Periode emas tumbuh kembang seorang anak dimulai sejak anak dalam kandungan hingga berusia dua tahun. Wanita hamil dan anak-anak usia dibawah 5 tahun berada pada risiko tertinggi micronutrient deficiencies (MNDs), masalah pertumbuhan, penurunan intelektual, komplikasi perinatal dan meningkatnya risiko morbiditas dan mortalitas. Oleh karena itu ibu hamil memerlukan program edukasi tentang nutrisi yang tepat untuk kesehatan ibu dan janin. Edukasi berbasis keluarga sesuai program keluarga sehat dapat meningkatkan intensi untuk mengubah perilaku kesehatan. Menurut Theory of Planned Behavior (TPB), bahwa intensi untuk mengubah perilaku dipengaruhi oleh sikap, norma subjektif dan persepsi kontrol perilaku. Penelitian ini bertujuan mengidentifikasi pengaruh edukasi berbasis keluarga terhadap intensi ibu hamil untuk optimalisasi nutrisi pada 1000 Hari Pertama Kehidupan di wilayah kerja Puskesmas Neglasari, Kota Bandung. Desain penelitian menggunakan quasi eksperiment, pre-test and posttest with control group design. Pengambilan sampel dengan teknik total sampling seluruh ibu hamil yang terdata di Puskesmas sampai bulan November 2016 berjumlah 44 orang yang kemudian dibagi dalam kelompok intervensi dan kelompok kontrol. Kegiatan edukasi dilaksanakan melalui tiga kali pertemuan kunjungan rumah. Analisis data menggunakan Wilcoxon test dan Mann whitney test. Hasil penelitian menunjukkan bahwa ada pengaruh yang signifikan antara edukasi berbasis keluarga terhadap intensi ibu hamil untuk optimalisasi nutrisi pada 1000 hari pertama kehidupan (p = 0.00). Program edukasi berbasis keluarga adalah efektif meningkatkan intensi ibu hamil. Dengan demikian, disarankan penerapan edukasi berbasis keluarga dalam intervensi keperawatan untuk meningkatkan kesehatan ibu dan bayi yang dikandungnya.Kata kunci: Edukasi berbasis keluarga, intensi, ibu hamil, nutrisi, 1000 hari pertama kehidupan. Effect Of Family-Based Education Towards Pregnant Mothers’ Intention to Optimize The Nutrition at 1000 First Day Of LifeAbstractChildren “Golden Period” starts since in the womb until two years after birth. Pregnant mothers and children under five (5) years old are at risk to suffer from micronutrient deficiencies (MNDs), growth problems, intellectual impairment, perinatal complications and increase of morbidity and mortality risks. Therefore pregnant mothers need an education program about proper nutrition for mothers’ and the fetus’ health.Family based education can improve intention to change health behavior. According to Theory of Planned Behavior (TPB, behaviour is influenced by attitudes, subjective norms and perceived behavioral control. Intention in order to change the behavior. The study aimed to identified the effect of family-based education towards pregnant mothers’ intention to optimize the nutrition at 1000 First Day of Life in the working area of Puskesmas Neglasari, BandungResearch design was quasi experiment, pre-test and post-test with control group design. A total of 44 pregnant mothers’ were recruited and divided into intervention and control group. Intervention were conducted three times through home visits. The data were analyzed using Wilcoxon test and Mann Whitney testThe findings showed that there was a significant effect between the family-based education towards pregnant mothers’ intention to optimize the nutrition of 1000 first days of life (p = 0.00). Thus, it is recommended to apply family based education in nursing intervention to improve of mothers and fetus health.Keywords : Family based education, intention, pregnant mothers’, nutrition, 1000 first days of life.

Plant Biotechnology Workshop for High School Students

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 504e-504
Author(s):  
Erika Szendrak ◽  
Paul E. Read ◽  
Jon S. Miller
Keyword(s):  
High School ◽  
High School Students ◽  
Medical Science ◽  
Plant Biotechnology ◽  
Plant Science ◽  
High School Biology ◽  
School Students ◽  
Subsequent Transformation ◽  
Set Up

Modern aspects of many subjects (e.g., computer science and some aspects of medical science) are now taught in many high schools, but the plant sciences are often given short shrift. A collaboration was therefore established with a high school biology program in which pilot workshops could be developed to enable advanced students to gain insights into modern plant science techniques. A successful example is the workshop on plant biotechnology presented in this report. This workshop is simple and flexible, taking into account that most high school biology laboratories and classrooms are not set up for sophisticated plant science/biotechnology projects. It is suitable for from 10 to 30 students, depending upon space and facilities available. Students work in pairs or trios, and learn simple disinfestation and transfer techniques for micropropagation and potential subsequent transformation treatments. Students gain insights into: sterile technique and hygiene; plant hormones and their physiological effects; plant cell, tissue and organ culture; the influence of environmental factors on response of cells and tissues cultured in vitro; and an understanding of the phenomenon of organogenesis and resulting plant growth and development. This workshop has been tested on several classes of students and following analysis, several refinements were included in subsequent iterations. Results of the students' experiments have been positive and instructive, with student learning outcomes above expectations. Further details of the workshop techniques and approach will be presented.

Malnutrition, Public Health, and Ethics

2019 ◽  
pp. 570-584
Author(s):  
Jessica Fanzo
Keyword(s):  
Public Health ◽  
Food Security ◽  
Overweight And Obesity ◽  
Micronutrient Deficiencies ◽  
Intergenerational Justice ◽  
Ethical Challenges ◽  
Environmentally Sustainable ◽  
Nutritious Food ◽  
Trade Offs ◽  
Society Today

A major challenge for society today is how to secure and provide plentiful, healthy, and nutritious food for all in an environmentally sustainable and safe manner, while also addressing the multiple burdens of undernutrition, overweight and obesity, stunting and wasting, and micronutrient deficiencies, particularly for the most vulnerable. There are considerable ethical questions and trade-offs that arise when attempting to address this challenge, centered around integrating nutrition into the food security paradigm. This chapter attempts to highlight three key ethical challenges: the prioritization of key actions to address the multiple burdens of malnutrition, intergenerational justice issues of nutrition-impacted epigenetics, and the consequences of people’s diet choices, not only for humanity but also for the planet.

scholarly journals Maize-IAS: a maize image analysis software using deep learning for high-throughput plant phenotyping

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Shuo Zhou ◽  
Xiujuan Chai ◽  
Zixuan Yang ◽  
Hongwu Wang ◽  
Chenxue Yang ◽  
...  
Keyword(s):  
Computer Vision ◽  
Image Analysis ◽  
Deep Learning ◽  
High Throughput ◽  
Batch Processing ◽  
Plant Phenotyping ◽  
Plant Science ◽  
Analysis Software ◽  
Image Analysis Software ◽  
Maize Growth

Abstract Background Maize (Zea mays L.) is one of the most important food sources in the world and has been one of the main targets of plant genetics and phenotypic research for centuries. Observation and analysis of various morphological phenotypic traits during maize growth are essential for genetic and breeding study. The generally huge number of samples produce an enormous amount of high-resolution image data. While high throughput plant phenotyping platforms are increasingly used in maize breeding trials, there is a reasonable need for software tools that can automatically identify visual phenotypic features of maize plants and implement batch processing on image datasets. Results On the boundary between computer vision and plant science, we utilize advanced deep learning methods based on convolutional neural networks to empower the workflow of maize phenotyping analysis. This paper presents Maize-IAS (Maize Image Analysis Software), an integrated application supporting one-click analysis of maize phenotype, embedding multiple functions: (I) Projection, (II) Color Analysis, (III) Internode length, (IV) Height, (V) Stem Diameter and (VI) Leaves Counting. Taking the RGB image of maize as input, the software provides a user-friendly graphical interaction interface and rapid calculation of multiple important phenotypic characteristics, including leaf sheath points detection and leaves segmentation. In function Leaves Counting, the mean and standard deviation of difference between prediction and ground truth are 1.60 and 1.625. Conclusion The Maize-IAS is easy-to-use and demands neither professional knowledge of computer vision nor deep learning. All functions for batch processing are incorporated, enabling automated and labor-reduced tasks of recording, measurement and quantitative analysis of maize growth traits on a large dataset. We prove the efficiency and potential capability of our techniques and software to image-based plant research, which also demonstrates the feasibility and capability of AI technology implemented in agriculture and plant science.

Micronutrient deficiencies in children with coeliac disease; a double-edged sword of both untreated disease and treatment with gluten-free diet

2021 ◽  
Author(s):  
Lorcan McGrogan ◽  
Mary Mackinder ◽  
Fiona Stefanowicz ◽  
Maria Aroutiounova ◽  
Anthony Catchpole ◽  
...  
Keyword(s):  
Coeliac Disease ◽  
Gluten Free Diet ◽  
Gluten Free ◽  
Micronutrient Deficiencies
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