K. V. Klemeshova’s research while affiliated with Russian Academy of Sciences and other places

... Особое место в оформлении прибрежных территорий занимает вертикальное озеленение, т. е. применение различных видов лиан, что позволяет при экономии почвенных ресурсов, получать максимальный декоративный эффект от насаждений [1,9]. ...

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Wall gardening on coastal areas on the example of the resort area “Imeretinsky” (Sochi)

... Отслеживать такие изменения во времени и пространстве позволяют физиологические методы исследований. Их диагностика и градации, способствуют определению оценки адаптивности сортов при интродукции, что значительно сокращает временные и финансовые затраты на сортоизучение, а также компенсационные высадки, в случае городского озеленения [3,5]. ...

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THE ASSIMILATION APPARATUS OF CLIMBING ROSES DURING INTRODUCTION IN A HUMID SUBTROPICAL CLIMATE

... Габуева) и селекции (Л.Г. Якушина) [7,17,40,49,[61][62][63][64]. ...

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Most influential persons in the history of flower collections created by FRC SSC OF RAS

... Interestingly, all these markers shared a common feature as it displays a high level of polymorphism and marker efficiency beside their higher reproducibility rank and generation of high polymorphic information content (PIC) compared with RAPD, DAF, and AP-PCR random markers. Taking together these advantages, several investigations have been reported the usefulness of these molecular markers together of individually to estimate the genetic diversity, phylogenetic relationships, and DNA fingerprinting in a wide range of Asteraceae species and other important crops species for instance; Chrysanthemum (Samarina et al. 2021), Milk thistle (Hamouda 2019), Centaurea species (Atia et al. 2021), Wheat (Heidari et al. 2017;Khodaee et al. 2021;Shaban et al. 2022), Lesser burnet (Karataş et al. 2024), Okra (Puneeth et al. 2023), Alfalfa (Alzahrani et al. 2023), Chickpea (Hajibarat et al. 2015), Common Bean (Hromadová et al. 2023), and Juniper plant (Al-Yasi and Al-Qthanin 2024). ...

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Integrating SCoT, CBDP, and ISSR molecular markers for genetic diversity assessment and taxonomic authentication of some Asteraceae species in Egypt

... Оценить адаптивный потенциал плетистых роз к основным стрессорам влажного субтропического климата возможно с применением физиологических параметров ассимиляционного аппарата исследуемых садовых форм [3,20]. Комплексное изучение не только количественных, но и качественных показателей пигментного аппарата, динамики накопления ассимилятов, активности антиоксидантной системы позволят определить физиологическое состояние растений и их взаимосвязь с абиотическими факторами среды [8,10,15,18]. ...

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ADAPTIVE POTENTIAL OF CLIMBING ROSES TO ABIOTIC STRESSORS IN HUMID SUBTROPICAL CLIMATE

... To create our collection, when selecting the assortment, special attention was paid to such characteristics of the variety as: resistance to the most dangerous pathogens of fungal diseases; resistance to adverse abiotic environmental factors; long and abundant flowering; decorative qualities of a flower [26]. ...

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Comprehensive assessment of varieties of garden roses in the conditions of the Udmurt Republic

... Though a widely used powerful tool in many research fields such as diagnosing medical abnormalities (Esteva et al., 2017) and defect detection in civil engineering (Cha, Choi, & Bü yü k€ oztü rk, 2017), deep learning, a sub-field of machine learning, is hardly used in agriculture technologies and less so in horticultural industry (Wang, Hu, & Zhai, 2018). However, there has been recent agricultural applications of convolutional neural network (CNN) in image classification (leaf picking) by robotic systems (Ahlin, Joffe, Hu, McMurray, & Sadegh, 2016) and in fruit detection, counting and segmentation (Bargoti & Underwood, 2017;Chen et al., 2017;Sa, Ge, Dayoub, Upcroft, Perez, & McCool, 2016). Deep learning has been reported to enable integration of feature extraction that results in superior performance over conventional image processing methods in many vision tasks (Girshick, Donahue, Darrell, & Malik, 2014) and therefore, a potential candidate for performance enhancer in defect detection systems. ...

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Machine learning applications to non-destructive defect detection in horticultural products