57 research outputs found

    Molecular genetic bases of seed resistance to oxidative stress during storage

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    Conservation of plant genetic diversity, including economically important crops, is the foundation for food safety. About 90 % of the world’s crop genetic diversity is stored as seeds in genebanks. During storage seeds suffer physiological stress consequences, one of which is the accumulation of free radicals, primarily reactive oxygen species (ROS). An increase in ROS leads to oxidative stress, which negatively affects the quality of seeds and can lead to a complete loss of their viability. The review summarizes data on biochemical processes that affect seed longevity. The data on the destructive effect of free radicals towards plant cell macromolecules are analyzed, and the ways to eliminate excessive ROS in plants, the most important of which is the glutathioneascorbate pathway, are discussed. The relationship between seed dormancy and seed longevity is examined. Studying seeds of different plant species revealed a negative correlation between seed dormancy and longevity, while various authors who researched Arabidopsis seeds reported both positive and negative correlations between dormancy and seed longevity. A negative correlation between seed dormancy and viability probably means that seeds are able to adapt to changing environmental conditions. This review provides a summary of Arabidopsis genes associated with seed viability. By now, a significant number of loci and genes affecting seed longevity have been identified. This review contains a synopsis of modern studies on the viability of barley seeds. QTLs associated with barley seed longevity were identified on chromosomes 2H, 5H and 7H. In the QTL regions studied, the Zeo1, Ale, nud, nadp-me, and HvGR genes were identified. However, there is still no definite answer as to which genes would serve as markers of seed viability in a certain plant species

    Genetic bases of compact forms among cucurbit crops

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    The genetic base of compactness has been an area of active research in recent years, with several genes and mutations identified to be associated with the appearance of dwarf phenotypes. Understanding the functions of these genes and the underlying mechanisms of dwarfism in cucurbit crops is essential for developing new cultivars with improved yield and fruit quality. This study presents current data on genes and mutations associated with the evolvement of compact phenotypes in cucurbit crops. The review includes examples of mutant compact phenotypes and their associated genes in representatives of the Cucurbitaceae family, such as Cucurbita maxima Duch., Cucurbita pepo L., Cucurbita moschata Duch., Citrullus lanatus (Thunb.) Matsum. & Nakai, and Cucumis melo L. The review provides up-to-date information on the genetic and molecular bases of compact phenotype formation, as well as molecular markers for detecting known genes associated with reduced plant size

    An effective scalable SQL engine for NoSQL databases

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    NoSQL databases were initially devised to support a few concrete extreme scale applications. Since the specificity and scale of the target systems justified the investment of manually crafting application code their limited query and indexing capabilities were not a major im- pediment. However, with a considerable number of mature alternatives now available there is an increasing willingness to use NoSQL databases in a wider and more diverse spectrum of applications and, to most of them, hand-crafted query code is not an enticing trade-off. In this paper we address this shortcoming of current NoSQL databases with an effective approach for executing SQL queries while preserving their scalability and schema flexibility. We show how a full-fledged SQL engine can be integrated atop of HBase leading to an ANSI SQL compli- ant database. Under a standard TPC-C workload our prototype scales linearly with the number of nodes in the system and outperforms a NoSQL TPC-C implementation optimized for HBase.(undefined

    Canadian Studies: Society, Culture, Language

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    У міжнародній колективній монографії вміщено найновіші українсько-канадські суспільно-політичні, культурно-освітні та філологічні дослідження в галузі сучасного канадознавства. Це другий випуск серії «Канадознавство», заснованої у 2018 р. Центром канадознавства Східноєвропейського національного університету імені Лесі Українки (м. Луцьк). Для науковців, викладачів, докторантів, аспірантів, студентів факультетів міжнародних відносин, іноземної філології, історії, політології та національної безпеки, філології й журналістики, педагогічної освіти й соціальної роботи, для працівників осередків канадознавста в Україні, авторів українських студій у Канаді, а також усіх, хто цікавиться канадознавством, українсько-канадською співпрацею в різних сферах.Монографія видається за підтримки Центру українських канадських студій Манітобського університету (м. Вінніпег, Канада

    Україна – Канада: сучасні наукові студії

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    The materials of the international collective monograph show the latest Ukrainian-Canadian socio-political, historical, philological, cultural, educational and pedagogical research in the field of modern Canadian Studies. The monograph includes the investigations by several scientists from Ukraine and Canada (from Edmonton, Lutsk, Kyiv, Lviv, and Sumy). Such publication comes out in Ukraine for the first time. For scholars, postgraduates and doctoral students, undergraduates and lecturers of the faculties of international relations, foreign philology, history, political science, philology and journalism, education and social work, Canadian centres in Ukraine and centres of Ukrainian Studies in Canada, as well as for anyone interested in research of Ukrainian-Canadian relations

    Size Matters : Improving the Performance of Small Files in Hadoop

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    The Hadoop Distributed File System (HDFS) is designed to handle massive amounts of data, preferably stored in very large files. The poor performance of HDFS in managing small files has long been a bane of the Hadoop community. In many production deployments of HDFS, almost 25% of the files are less than 16 KB in size and as much as 42% of all the file system operations are performed on these small files. We have designed an adaptive tiered storage using in-memory and on-disk tables stored in a high-performance distributed database to efficiently store and improve the performance of the small files in HDFS. Our solution is completely transparent, and it does not require any changes in the HDFS clients or the applications using the Hadoop platform. In experiments, we observed up to 61~times higher throughput in writing files, and for real-world workloads from Spotify our solution reduces the latency of reading and writing small files by a factor of 3.15 and 7.39 respectively.QC 20181106</p

    Developing and Optimizing Applications in Hadoop

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