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Institution

Polytechnic University of Valencia

EducationValencia, Spain
About: Polytechnic University of Valencia is a education organization based out in Valencia, Spain. It is known for research contribution in the topics: Catalysis & Population. The organization has 16282 authors who have published 40162 publications receiving 850234 citations.


Papers
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Journal ArticleDOI
TL;DR: It is hoped that the proposed introgressiomics approach will contribute to the development of a new generation of cultivars with dramatically improved yield and performance that may allow coping with the environmental changes caused by climate change while at the same time contributing to a more efficient and sustainable agriculture.
Abstract: The need to boost agricultural production in the coming decades in a climate change scenario requires new approaches for the development of new crop varieties that are more resilient and more efficient in the use of resources. Crop wild relatives (CWRs) are a source of variation for many traits of interest in breeding, in particular tolerance to abiotic and biotic stresses. However, their potential in plant breeding has largely remained unexploited. CWRs can make an effective contribution to broadening the genetic base of crops and to introgressing traits of interest, but their direct use by breeders in breeding programs is usually not feasible due to the presence of undesirable traits in CWRs (linkage drag) and frequent breeding barriers with the crop. Here we call for a new approach, which we tentatively call ‘introgressiomics’, which consists of mass scale development of plant materials and populations with introgressions from CWRs into the genetic background of crops. Introgressiomics is a form of pre-emptive breeding and can be focused, when looking for specific phenotypes, or un-focused, when it is aimed at creating highly diverse introgressed populations. Exploring germplasm collections and identifying adequate species and accessions from different genepools encompassing a high diversity, using different strategies like the creation of germplasm diversity sets, Focused identification of germplasm strategy (FIGS) or gap analysis, is a first step in introgressiomics. Interspecific hybridization and backcrossing is often a major barrier for introgressiomics, but a number of techniques can be used to potentially overcome these and produce introgression populations. The generation of chromosome substitution lines (CSLs), introgression lines (ILs), or multi-parent advanced inter-cross (MAGIC) populations by means of marker-assisted selection allows not only the genetic analysis of traits present in CWRs, but also developing genetically characterized elite materials that can be easily incorporated in breeding programs. Genomic tools, in particular high-throughput molecular markers, facilitate the characterization and development of introgressiomics populations, while new plant breeding techniques (NPBTs) can enhance the introgression and use of genes from CWRs in the genetic background of crops. An efficient use of introgressiomics populations requires moving the materials into breeding pipelines. In this respect public–private partnerships (PPPs) can contribute to an increased use of introgressed materials by breeders. We hope that the introgressiomics approach will contribute to the development of a new generation of cultivars with dramatically improved yield and performance that may allow coping with the environmental changes caused by climate change while at the same time contributing to a more efficient and sustainable agriculture.

141 citations

Journal ArticleDOI
TL;DR: In this article, the effect of pH on color and texture of food products is identified and the importance of pH control during processing is discussed to produce safe, high-quality and value-added products.
Abstract: Color and texture are important quality characteristics and major factors affecting sensory perception and consumer acceptance of foods. pH has an important effect on pigments (e.g., chlorophyll, carotenoids, anthocyanins, etc.) responsible for fruit color, vegetables and meat color. Also pH has a great impact on water-holding capacity and tenderness of muscle foods that are improved at acidic conditions below the typical pH of post-mortem. Moreover, during processing of food, the pH value affects many phenomena and processes such as protein properties as denaturizing, gelification, enzymatic activities, growth and mortality of microorganisms, germinating or inactivation of bacterial spores and chemical reactions such as the Maillard reaction. Thus, knowledge of pH effects and its control during processing is necessary to produce safe, high-quality and value-added products. The goal of this paper is to identify the effect of pH on color and texture of food products to show the importance of control this parameter.

141 citations

Journal ArticleDOI
TL;DR: This article proposes a grey wolf optimization based clustering algorithm for VANETs that replicates the social behaviour and hunting mechanism of grey wolfs for creating efficient clusters, and provides optimal outcomes that lead to a robust routing protocol for clustering of VANets.

141 citations

Journal ArticleDOI
05 Oct 2017-Nature
TL;DR: An analysis of researchers' global mobility reveals that limiting the circulation of scholars will damage the scientific system, say Cassidy R. Sugimoto and colleagues.
Abstract: An analysis of researchers' global mobility reveals that limiting the circulation of scholars will damage the scientific system, say Cassidy R. Sugimoto and colleagues.

141 citations

Journal ArticleDOI
TL;DR: Investigating the behavior of a culture enriched with Accumulibacter at different levels of polyphosphate (poly-P) storage suggests that poly-P storage levels and GAO-like metabolism are important factors affecting the competition between different PAO Types in enhanced biological phosphorus removal systems.

141 citations


Authors

Showing all 16503 results

NameH-indexPapersCitations
Avelino Corma134104989095
Bruce D. Hammock111140957401
Geoffrey A. Ozin10881147504
Wolfgang J. Parak10246943307
Hermenegildo García9779246585
María Vallet-Regí9571141641
Albert Ferrando8741936793
Rajendra Prasad8694529526
J.J. Garcia-Luna-Aceves8660225151
George W. Huber8428037964
Juan J. Calvete8145822646
Juan M. Feliu8054423147
Amparo Chiralt7829818378
Michael Tsapatsis7737520051
Josep Redon7748881395
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023130
2022331
20212,655
20202,861
20192,762