Articles

    1. Evaluation of homozygosity levels of onion (Allium cepa L.) inbred lines using molecular markers... 2023

      Moon, Jin Seong; Kim, Bongju; Kim, Sunggil

      Euphytica, Vol. 219, Issue 9, p. 96.

      Onion ( Allium cepa L.) is a cross-pollinated crop with severe inbreeding depression. Inbred breeding lines are thus commonly maintained through sib-mating or a combination of sib-mating and self-p... Read more

      Onion ( Allium cepa L.) is a cross-pollinated crop with severe inbreeding depression. Inbred breeding lines are thus commonly maintained through sib-mating or a combination of sib-mating and self-pollination. Therefore, the homozygosity levels of onion inbred lines are generally low compared with self-pollinated crops. To evaluate the homozygosity levels of inbred lines, 43 high-resolution melting markers that were evenly distributed throughout eight onion linkage groups were selected among 652 markers consisting of a high-resolution linkage map. Eight individual plants from 119 inbred lines collected from five onion-breeding institutes were analyzed using the 43 HRM markers, resulting in an average homozygosity level of 0.55. This indicates that almost half of the 43 markers were still segregating in those inbred lines. The homozygosity levels of inbred lines varied between the onion-breeding institutes but they were generally higher than those of the Plant Introduction (PI) accessions. Additionally, the average proportion of genotypes fixed as either homozygous or heterozygous was 0.46 in 12 F 1 cultivars, indicating that their parental lines had low homozygosity levels. Phylogenetic analyses based on the pairwise genetic distances of all entries did not show clear clustering of related entries. This lack of clear clustering patterns was attributed to the relatively large within-population variations and low genetic diversity of the analyzed entries. The observed heterozygosity of the 43 markers was generally higher than the expected heterozygosity. Moreover, one marker exhibited a marked increase in observed heterozygosity, suggesting the possible involvement of this genomic region in inbreeding depression. Read less

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    2. Exploring College Students' Experiences Drawing a Journey Map 2023

      Moon-Seo, Sara K; Campos, Mikela; Munsell, Sonya E

      Educational Research (Orem, Utah), Vol. 34, Issue 2, p. 57.

      This study explored college students' experiences drawing an educational journey map. The stories revealed students' educational experiences from freshmen to junior/senior years. Five themes emerge... Read more

      This study explored college students' experiences drawing an educational journey map. The stories revealed students' educational experiences from freshmen to junior/senior years. Five themes emerged through semi-structured interview questions. Through the students' stories about their educational experiences, researchers could better understand students' daily life, joyful moments, challenges, resilience, and wishful messages to their professors and university administrators. Read less

      Journal Article  |  Full Text Online

    3. Scene understanding using natural language description based on 3D semantic graph map 2018

      Moon, Jiyoun; Lee, Beomhee

      Intelligent Service Robotics, Vol. 11, Issue 4, pp. 347 - 354.

      A natural language description for working environment understanding is an important component in human–robot communication. Although 3D semantic graph mappings are widely studied for perceptual as... Read more

      A natural language description for working environment understanding is an important component in human–robot communication. Although 3D semantic graph mappings are widely studied for perceptual aspects of the environment, these approaches hardly apply to the communication issues such as natural language descriptions for a semantic graph map. There are many researches on workspace understanding over images in the field of computer vision, which automatically generate sentences while they usually never utilize multiple scenes and 3D information. In this paper, we introduce a novel natural language description method using 3D semantic graph map. An object-oriented semantic graph map is first constructed using 3D information. A graph convolutional neural network and a recurrent neural network are then used to generate a description of the map. A natural language sentence focusing on objects over 3D semantic graph map can be eventually generated consisting of a single scene or multiple scenes. We validate the proposed method using publicly available dataset and compare it with conventional methods. Read less

      Journal Article  |  Full Text Online

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      Satellite Shelving I 19.79:P 69/992 | Government publication

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