28 research outputs found

    Prospects to improve the nutritional quality of crops

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    A growing world population as well as the need to enhance sustainability and health create challenges for crop breeding. To address these challenges, not only quantitative but also qualitative improvements are needed, especially regarding the macro- and micronutrient composition and content. In this review, we describe different examples of how the nutritional quality of crops and the bioavailability of individual nutrients can be optimised. We focus on increasing protein content, the use of alternative protein crops and improving protein functionality. Furthermore, approaches to enhance the content of vitamins and minerals as well as healthy specialised metabolites and long-chain polyunsaturated fatty acids are considered. In addition, methods to reduce antinutrients and toxins are presented. These approaches could help to decrease the ‘hidden hunger’ caused by micronutrient deficiencies. Furthermore, a more diverse crop range with improved nutritional profile could help to shift to healthier and more sustainable plant-based diets

    Prospects to improve the nutritional quality of crops

    Get PDF
    A growing world population as well as the need to enhance sustainability and health create challenges for crop breeding. To address these challenges, not only quantitative but also qualitative improvements are needed, especially regarding the macro- and micronutrient composition and content. In this review, we describe different examples of how the nutritional quality of crops and the bioavailability of individual nutrients can be optimised. We focus on increasing protein content, the use of alternative protein crops and improving protein functionality. Furthermore, approaches to enhance the content of vitamins and minerals as well as healthy specialised metabolites and long-chain polyunsaturated fatty acids are considered. In addition, methods to reduce antinutrients and toxins are presented. These approaches could help to decrease the ‘hidden hunger’ caused by micronutrient deficiencies. Furthermore, a more diverse crop range with improved nutritional profile could help to shift to healthier and more sustainable plant-based diets

    Improving crop yield potential: Underlying biological processes and future prospects

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    The growing world population and global increases in the standard of living both result in an increasing demand for food, feed and other plant‐derived products. In the coming years, plant‐based research will be among the major drivers ensuring food security and the expansion of the bio‐based economy. Crop productivity is determined by several factors, including the available physical and agricultural resources, crop management, and the resource use efficiency, quality and intrinsic yield potential of the chosen crop. This review focuses on intrinsic yield potential, since understanding its determinants and their biological basis will allow to maximize the plant's potential in food and energy production. Yield potential is determined by a variety of complex traits that integrate strictly regulated processes and their underlying gene regulatory networks. Due to this inherent complexity, numerous potential targets have been identified that could be exploited to increase crop yield. These encompass diverse metabolic and physical processes at the cellular, organ and canopy level. We present an overview of some of the distinct biological processes considered to be crucial for yield determination that could further be exploited to improve future crop productivity

    Paving the way towards future-proofing our crops

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    To meet the increasing global demand for food, feed, fibre and other plant-derived products, a steep increase in crop productivity is a scientifically and technically challenging imperative. The CropBooster-P project, a response to the H2020 call ‘Future proofing our plants’, is developing a roadmap for plant research to improve crops critical for the future of European agriculture by increasing crop yield, nutritional quality, value for non-food applications and sustainability. However, if we want to efficiently improve crop production in Europe and prioritize methods for crop trait improvement in the coming years, we need to take into account future socio-economic, technological and global developments, including numerous policy and socio-economic challenges and constraints. Based on a wide range of possible global trends and key uncertainties, we developed four extreme future learning scenarios that depict complementary future developments. Here, we elaborate on how the scenarios could inform and direct future plant research, and we aim to highlight the crop improvement approaches that could be the most promising or appropriate within each of these four future world scenarios. Moreover, we discuss some key plant technology options that would need to be developed further to meet the needs of multiple future learning scenarios, such as improving methods for breeding and genetic engineering. In addition, other diverse platforms of food production may offer unrealized potential, such as underutilized terrestrial and aquatic species as alternative sources of nutrition and biomass production. We demonstrate that although several methods or traits could facilitate a more efficient crop production system in some of the scenarios, others may offer great potential in all four of the future learning scenarios. Altogether, this indicates that depending on which future we are heading toward, distinct plant research fields should be given priority if we are to meet our food, feed and non-food biomass production needs in the coming decades

    The tomato gene Sw5 is a member of the coiled coil, nucleotide binding, leucine-rich repeat class of plant resistance genes and confers resistance to TSWV in tobacco

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    Tomato spotted wilt virus is an important threat to tomato production worldwide. A single dominant resistance gene locus, Sw5, originating from Lycopersicon peruvianum, has been identified and introgressed in cultivated tomato plants. Here we present the genomic organization of a 35250 bp fragment of a BAC clone overlapping the Sw5 locus. Two highly homologous (95%) resistance gene candidates were identified within 40 kb of the CT220 marker. The genes, tentatively named Sw5-a and Sw5-b, encode proteins of 1245 and 1246 amino acids, respectively, and are members of the coiled-coil, nucleotide-binding-ARC, leucine-rich repeat group of resistance gene candidates. Promoter and terminator regions of the genes are also highly homologous. Both genes significantly resemble the tomato nematode and aphid resistance gene Mi and, to a lesser extent, Pseudomonas syringae resistance gene Prf. Transformation of Nicotiana tabacum cv. SR1 plants revealed that the Sw5-b gene, but not the Sw5-a gene, is necessary and sufficient for conferring resistance against tomato spotted wilt virus.

    Concepts for Modeling Enterprise Architectures

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    A coherent description of enterprise architecture provides insight, enables communication among stakeholders and guides complicated change processes. Unfortunately, so far no enterprise architecture description language exists that fully enables integrated enterprise modelling, because for each architectural domain, architects use their own modelling techniques and concepts, tool support, visualisation techniques, etc. In this paper we outline such an integrated language and we identify and study concepts that relate architectural domains. In our language concepts for describing the relationships between architecture descriptions at the business, application, and technology levels play a central role, related to the ubiquitous problem of business–ICT alignment, whereas for each architectural domain we conform to existing languages or standards such as UML. In particular, usage of services offered by one layer to another plays an important role in relating the behaviour aspects of the layers. The structural aspects of the layers are linked through the interface concept, and the information aspects through realisation relations. 1
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